merge

.gitignore

@@ -78,3 +78,5 @@ AgroBase/AgroBase/bin/x64/Debug/Python/venv/
 !AgroBase/AgroBase/bin/x64/Debug/Parametros/
 
 /Exemplos
+/Python/raspi/cam_2/imx296_pi/
+/Python/raspi/cam_3/imx296_pi/

Python/raspi/Criar Serviço.txt

@@ -0,0 +1,44 @@
+Criar serviço de auto inicialização no boot:
+sudo nano /etc/systemd/system/multispec.service
+
+Preencher o arquivo com:
+[Unit]
+Description=Modulo Multiespectral
+After=network-online.target
+Wants=network-online.target
+
+[Service]
+Type=simple
+User=diego
+WorkingDirectory=/home/diego/multispec_module
+ExecStart=/usr/bin/python3 /home/diego/multispec_module/main.py
+Restart=always
+RestartSec=3
+Environment=PYTHONUNBUFFERED=1
+
+[Install]
+WantedBy=multi-user.target
+
+Recarregar o systemctl:
+sudo systemctl daemon-reload
+
+Ver status:
+sudo systemctl status multispec.service
+
+Acompanhar logs em tempo real:
+journalctl -u multispec.service -f
+
+Habilitar o serviço no boot:
+sudo systemctl enable multispec.service
+
+Desabilitar o serviço no boot:
+sudo systemctl disable multispec.service
+
+Iniciar o serviço manualmente:
+sudo systemctl start multispec.service
+
+Parar o serviço:
+sudo systemctl stop multispec.service
+
+Reiniciar o serviço:
+sudo systemctl restart multispec.service

Python/raspi/cam_2/capture_dataset.py

@@ -58,51 +58,57 @@ def save_sample(
     frame_type: str,
     preview_bgr: np.ndarray,
     meta: dict,
-    raw3: np.ndarray | None = None,
+    raw_payload: np.ndarray | None = None,
     packed_raw: np.ndarray | None = None,
+    packed_raw_by_camera: dict | None = None,
 ):
-    """
-    Salva conforme o tipo de frame:
-
-    - RGB:
-        * payload em .raw float32 (3,H,W)
-        * preview em .png
-        * metadados em .json
-
-    - RAW_BRUTO:
-        * payload packed RAW10 em .bin
-        * preview em .png
-        * metadados em .json
-    """
     os.makedirs(base_dir, exist_ok=True)
     name = ts_name()
 
     png_path = os.path.join(base_dir, f"{name}.png")
     json_path = os.path.join(base_dir, f"{name}.json")
 
-    if frame_type == "RGB":
-        if raw3 is None:
-            raise ValueError("raw3 não pode ser None quando frame_type='RGB'")
+    if frame_type in ("RGB", "RGBNIR"):
+        if raw_payload is None:
+            raise ValueError(f"raw_payload não pode ser None quando frame_type='{frame_type}'")
 
         payload_path = os.path.join(base_dir, f"{name}.raw")
-        raw3.astype(np.float32).tofile(payload_path)
+        raw_payload.astype(np.float32).tofile(payload_path)
 
-        meta["saved_payload_type"] = "raw3"
+        meta["saved_payload_type"] = frame_type.lower()
         meta["saved_payload_path"] = os.path.basename(payload_path)
         meta["saved_payload_dtype"] = "float32"
-        meta["saved_payload_shape"] = list(raw3.shape)
+        meta["saved_payload_shape"] = list(raw_payload.shape)
 
     elif frame_type == "RAW_BRUTO":
-        if packed_raw is None:
-            raise ValueError("packed_raw não pode ser None quando frame_type='RAW_BRUTO'")
+        if packed_raw_by_camera is not None:
+            payload_files = {}
+            payload_shapes = {}
+            payload_dtypes = {}
 
-        payload_path = os.path.join(base_dir, f"{name}.bin")
-        packed_raw.tofile(payload_path)
+            for cam_id, arr in packed_raw_by_camera.items():
+                path = os.path.join(base_dir, f"{name}_{cam_id}.bin")
+                arr.tofile(path)
+                payload_files[cam_id] = os.path.basename(path)
+                payload_shapes[cam_id] = list(arr.shape)
+                payload_dtypes[cam_id] = str(arr.dtype)
 
-        meta["saved_payload_type"] = "raw10_packed"
-        meta["saved_payload_path"] = os.path.basename(payload_path)
-        meta["saved_payload_dtype"] = str(packed_raw.dtype)
-        meta["saved_payload_shape"] = list(packed_raw.shape)
+            meta["saved_payload_type"] = "raw10_packed_multi"
+            meta["saved_payload_paths"] = payload_files
+            meta["saved_payload_shapes"] = payload_shapes
+            meta["saved_payload_dtypes"] = payload_dtypes
+
+        else:
+            if packed_raw is None:
+                raise ValueError("packed_raw não pode ser None quando frame_type='RAW_BRUTO'")
+
+            payload_path = os.path.join(base_dir, f"{name}.bin")
+            packed_raw.tofile(payload_path)
+
+            meta["saved_payload_type"] = "raw10_packed"
+            meta["saved_payload_path"] = os.path.basename(payload_path)
+            meta["saved_payload_dtype"] = str(packed_raw.dtype)
+            meta["saved_payload_shape"] = list(packed_raw.shape)
 
     else:
         raise ValueError(f"frame_type não suportado para save: {frame_type}")
@@ -112,16 +118,111 @@ def save_sample(
     with open(json_path, "w", encoding="utf-8") as f:
         json.dump(meta, f, ensure_ascii=False, indent=2)
 
-    return payload_path, png_path, json_path
+    return png_path, json_path
 
 
+def get_camera_map_from_status(status: dict) -> dict:
+    result = {}
+    for cam in status.get("cameras", []):
+        result[cam.get("id")] = cam
+    return result
+
+
+def validate_module_ready(status: dict, frame_type: str, raw_policy: str):
+    if not status.get("ok", True):
+        raise RuntimeError(f"Status inválido retornado pelo módulo: {status}")
+
+    active_ids = list(status.get("active_camera_ids", []))
+    active_count = int(status.get("camera_count_active", 0))
+    cam_map = get_camera_map_from_status(status)
+
+    if frame_type == "RGB":
+        if "cam0" not in active_ids:
+            raise RuntimeError(
+                "Modo RGB requer cam0 ativa, mas o módulo não reportou cam0 como ativa."
+            )
+        return
+
+    if frame_type == "RGBNIR":
+        missing = [cid for cid in ("cam0", "cam1") if cid not in active_ids]
+        if missing:
+            raise RuntimeError(
+                f"Modo RGBNIR requer cam0 e cam1 ativas. Faltando: {missing}. "
+                f"Ativas atuais: {active_ids}"
+            )
+        return
+
+    if frame_type == "RAW_BRUTO":
+        if raw_policy == "require_dual":
+            missing = [cid for cid in ("cam0", "cam1") if cid not in active_ids]
+            if missing:
+                raise RuntimeError(
+                    f"RAW_BRUTO com política require_dual exige duas câmeras ativas. "
+                    f"Faltando: {missing}. Ativas atuais: {active_ids}"
+                )
+        else:
+            if active_count < 1:
+                raise RuntimeError("RAW_BRUTO requer ao menos uma câmera ativa, mas nenhuma foi detectada.")
+        return
+
+    raise RuntimeError(f"frame_type desconhecido para validação: {frame_type}")
+
+
+def build_preview_from_raw_cam0(
+    packed_cam0: np.ndarray,
+    processor_core: RawProcessorCore,
+    processor_preview: RawProcessorPreview,
+    bit_depth: int = 10,
+):
+    packed = packed_cam0
+    if packed.ndim == 3 and packed.shape[2] == 1:
+        packed = packed[:, :, 0]
+
+    raw16 = processor_core.unpack_raw10_packed(packed)
+    preview_bgr = processor_preview.raw16_to_preview_bgr(
+        raw16,
+        bit_depth=bit_depth,
+    )
+
+    raw3 = processor_core.build_training_rgb(
+        raw16,
+        output_dtype="float32",
+        bit_depth=bit_depth,
+    )
+
+    return preview_bgr, raw3, packed
+
+
+def resolve_effective_capture_mode(frame_type: str, raw_policy: str, requested_mode: str) -> str:
+    """
+    Decide o modo real que será pedido ao módulo, priorizando segurança e economia.
+
+    Regras:
+    - RGB -> SINGLE
+    - RGBNIR -> DUAL
+    - RAW_BRUTO + allow_single -> SINGLE
+    - RAW_BRUTO + require_dual -> DUAL
+    """
+    if frame_type == "RGB":
+        return "SINGLE"
+
+    if frame_type == "RGBNIR":
+        return "DUAL"
+
+    if frame_type == "RAW_BRUTO":
+        if raw_policy == "require_dual":
+            return "DUAL"
+        return "SINGLE"
+
+    return requested_mode
+
 # =========================
 # MAIN
 # =========================
 
 def main():
     parser = argparse.ArgumentParser(
-        description="Captura de dataset RAW3 usando módulo multispectral Pi + StreamReceiver.",
+        description="Captura de dataset usando módulo multispectral Pi + StreamReceiver.",
         formatter_class=argparse.ArgumentDefaultsHelpFormatter,
     )
 
@@ -138,18 +239,23 @@ def main():
     parser.add_argument("--height", type=int, default=480, help="Altura óptica da câmera.")
     parser.add_argument("--interval", type=float, default=1.0, help="Intervalo em segundos para auto-save quando ligado.")
     parser.add_argument("--preview_upscale", type=int, default=2, help="Fator de upscale visual do preview.")
-    parser.add_argument("--bayer", default="GBRG", choices=["GBRG", "GRBG", "RGGB", "BGGR"], help="Padrão Bayer da câmera.")
-    parser.add_argument("--codec_family", default="numcodecs", help="Apenas informativo no metadata local.")
-    parser.add_argument("--codec_name", default="blosc", help="Apenas informativo no metadata local.")
-    parser.add_argument("--frame_type", default="RAW_BRUTO", choices=["RAW_BRUTO", "RGB"], help="Tipo de payload pedido ao Pi.")
-    parser.add_argument("--output_dtype", default="uint8", choices=["uint8", "float32"], help="Dtype do payload processado no Pi.")
+    parser.add_argument("--bayer", default="GBRG", choices=["GBRG", "GRBG", "RGGB", "BGGR"], help="Padrão Bayer das câmeras.")
+    parser.add_argument("--frame_type", default="RAW_BRUTO", choices=["RAW_BRUTO", "RGB", "RGBNIR"], help="Tipo de payload pedido ao Pi.")
+    parser.add_argument("--output_dtype", default="float32", choices=["uint8", "uint16", "float32"], help="Dtype do payload processado no Pi.")
+    parser.add_argument("--capture_mode", default="AUTO", choices=["AUTO", "SINGLE", "DUAL"], help="Modo de captura desejado no módulo.")
+    parser.add_argument("--raw_policy", default="allow_single", choices=["allow_single", "require_dual"], help="Quando frame_type=RAW_BRUTO, define se o script aceita 1 câmera ou exige 2.")
 
     args = parser.parse_args()
 
+    effective_capture_mode = resolve_effective_capture_mode(
+        frame_type=args.frame_type,
+        raw_policy=args.raw_policy,
+        requested_mode=args.capture_mode,
+    )
+
     raw_w = args.width
     raw_h = args.height
 
-    # dataset/<modelo>/brutas/cana_<estado>/<horario>/<YYYYMMDD>/
     session_dir = os.path.join(
         args.modelo,
         args.out_root,
@@ -161,16 +267,16 @@ def main():
     os.makedirs(session_dir, exist_ok=True)
 
     print("============================================")
-    print("Coleta de dataset RAW3 - Módulo Multiespectral")
-    print(f"Cana    : {args.cana}")
-    print(f"Horário : {args.horario}")
-    print(f"Saída   : {session_dir}")
-    print(f"Sensor  : {raw_w}x{raw_h} | Bayer={args.bayer}")
+    print("Coleta de dataset - Módulo Multiespectral")
+    print(f"Cana         : {args.cana}")
+    print(f"Horário      : {args.horario}")
+    print(f"Saída        : {session_dir}")
+    print(f"Sensor       : {raw_w}x{raw_h} | Bayer={args.bayer}")
+    print(f"FrameType    : {args.frame_type}")
+    print(f"CaptureMode  : {args.capture_mode} -> efetivo={effective_capture_mode}")
+    print(f"RAW policy   : {args.raw_policy}")
     print("============================================")
 
-    window_name = "Dataset Capture - RAW3 (C/SPACE=save | A=auto-save | M=preview scale | Q=quit)"
-    cv2.namedWindow(window_name, cv2.WINDOW_NORMAL)
-
     auto_save = False
     last_auto_t = 0.0
     preview_upscale = args.preview_upscale
@@ -190,20 +296,33 @@ def main():
     receiver = StreamReceiver(host="0.0.0.0", port=args.stream_port)
     svc = MultiSpectralService(host=args.pi_host, port=args.server_port, timeout=10)
 
-    processor_core = RawProcessorCore(
+    print(f"[INFO] Verificando conexão com o módulo em {args.pi_host}:{args.server_port}...")
+
+    svc.ensure_alive()
+
+    if not svc.is_alive():
+        raise RuntimeError("Módulo não encontrado ou não respondeu ao ping.")
+
+    print("[OK] Módulo conectado e respondendo.")
+
+    window_name = "Dataset Capture (C/SPACE=save | A=auto-save | M=preview scale | Q=quit)"
+    cv2.namedWindow(window_name, cv2.WINDOW_NORMAL)
+
+    processor_core_cam0 = RawProcessorCore(
         sensor_width=raw_w,
         sensor_height=raw_h,
         bayer_pattern=args.bayer,
     )
-    processor_preview = RawProcessorPreview(
+    processor_preview_cam0 = RawProcessorPreview(
         sensor_width=raw_w,
         sensor_height=raw_h,
         bayer_pattern=args.bayer,
     )
 
     last_frame_id = -1
-    last_raw3 = None
+    last_payload_float = None
     last_packed_raw = None
+    last_packed_raw_by_camera = None
     last_preview_bgr = None
     last_meta_stream = None
 
@@ -226,10 +345,32 @@ def main():
                 f"fps={mode['fps']}"
             )
 
-        print("SET RES:", svc.set_resolution(raw_w, raw_h))
+        print("SET CAM0 RES:", svc.set_camera_resolution(0, raw_w, raw_h))
+        print("SET CAM1 RES:", svc.set_camera_resolution(1, raw_w, raw_h))
+        print("SET CAM0 BAYER:", svc.set_camera_bayer(0, args.bayer))
+        print("SET CAM1 BAYER:", svc.set_camera_bayer(1, args.bayer))
         print("SET FPS:", svc.set_fps(args.fps))
-        print("SET BAYER:", svc.set_bayer(args.bayer))
-        print("BEGIN:", svc.begin(frame_type=args.frame_type, output_dtype=args.output_dtype))
+        print("SET CAPTURE MODE:", svc.set_capture_mode(effective_capture_mode))
+        print("SET FRAME TYPE:", svc.set_frame_type(args.frame_type))
+        print("SET OUTPUT DTYPE:", svc.set_output_dtype(args.output_dtype))
+
+        begin_resp = svc.begin(
+            frame_type=args.frame_type,
+            output_dtype=args.output_dtype,
+            capture_mode=effective_capture_mode,
+        )
+        print("BEGIN:", begin_resp)
+
+        status = svc.get_status()
+        print("STATUS:", json.dumps({
+            "status": status.get("status"),
+            "detected_mode": status.get("detected_mode"),
+            "camera_count_active": status.get("camera_count_active"),
+            "active_camera_ids": status.get("active_camera_ids"),
+        }, ensure_ascii=False))
+
+        validate_module_ready(status, args.frame_type, args.raw_policy)
+
         print("START STREAM:", svc.start_stream(args.pc_host, args.stream_port, fps=args.fps))
 
         camera_ctrl = svc.get_camera_controls()
@@ -240,9 +381,6 @@ def main():
         manual_gain = camera_ctrl.get("analogue_gain", None)
         manual_colour_gains = camera_ctrl.get("colour_gains", None)
 
-        expected_packed_w = (args.width * 10) // 8
-        expected_packed_h = args.height
-
         while True:
             t0 = time.time()
 
@@ -251,92 +389,99 @@ def main():
 
             if meta is not None and frame is not None and meta.get("frame_id") != last_frame_id:
                 last_frame_id = meta["frame_id"]
-                #print(meta)
-
-                if False and meta["packed_width"] != expected_packed_w or meta["packed_height"] != expected_packed_h:
-                    def infer_sensor_size_from_packed(packed_width: int, packed_height: int):
-                        width = int((packed_width * 8) / 10)
-                        height = packed_height
-                        return width, height
-                    actual_packed_w = meta["packed_width"]
-                    actual_packed_h = meta["packed_height"]
-
-                    padding = actual_packed_w - expected_packed_w
-                    if actual_packed_h != args.height:
-                        erro = True
-                    elif actual_packed_w < expected_packed_w:
-                        erro = True
-                    elif padding > 64:
-                        # margem conservadora, se quiser
-                        erro = True
-                    else:
-                        erro = False
-
-                    if erro:
-                        inferred_w = int((actual_packed_w * 8) / 10)
-                        inferred_h = actual_packed_h
-
-                        modes_txt = []
-                        if modes_resp.get("ok"):
-                            for m in modes_resp["sensor_modes"]:
-                                size = m.get("size")
-                                fmt = m.get("format")
-                                fps = m.get("fps")
-                                modes_txt.append(f"- {size[0]}x{size[1]} | {fmt} | fps={fps}")
-                        modes_str = "\n".join(modes_txt) if modes_txt else "(não disponível)"
-
-                        RuntimeError(
-                            f"Modo RAW inesperado.\n"
-                            f"Solicitado: {args.width}x{args.height} (packed útil esperado {expected_packed_w})\n"
-                            f"Recebido: packed {actual_packed_h}x{actual_packed_w}\n"
-                            f"Obs: packed_width pode incluir padding/stride.\n"
-                            f"Se a altura confere e o packed recebido é maior que o esperado, "
-                            f"o modo pode estar correto com alinhamento de memória."
-                        )
 
                 try:
                     frame_type = meta.get("frame_type", "RAW_BRUTO")
                     dtype_str = meta.get("dtype") or meta.get("output_dtype", "uint8")
 
                     if frame_type == "RAW_BRUTO":
-                        packed = frame
-                        if packed.ndim == 3 and packed.shape[2] == 1:
-                            packed = packed[:, :, 0]
+                        if isinstance(frame, dict):
+                            packed_by_camera = frame
+                            cam0 = packed_by_camera.get("cam0")
+                            if cam0 is None:
+                                raise RuntimeError("RAW_BRUTO multi recebido sem cam0 para preview")
 
-                        raw16 = processor_core.unpack_raw10_packed(packed)
-                        preview_bgr = processor_preview.raw16_to_preview_bgr(
-                            raw16,
-                            bit_depth=meta.get("source_bit_depth", 10),
-                        )
+                            source_cam0 = None
+                            for src in (meta.get("raw_sources") or []):
+                                if src.get("id") == "cam0":
+                                    source_cam0 = src
+                                    break
 
-                        # continua gerando raw3 apenas para visualização/depuração local, se quiser manter
-                        raw3 = processor_core.build_training_rgb(
-                            raw16,
-                            output_dtype="float32",
-                            bit_depth=meta.get("source_bit_depth", 10),
-                        )
+                            bit_depth_cam0 = 10 if source_cam0 is None else int(source_cam0.get("bit_depth", 10))
 
-                        last_packed_raw = packed.copy()
+                            preview_bgr, raw3_preview, packed_cam0 = build_preview_from_raw_cam0(
+                                cam0,
+                                processor_core_cam0,
+                                processor_preview_cam0,
+                                bit_depth=bit_depth_cam0,
+                            )
+
+                            last_packed_raw = None
+                            last_packed_raw_by_camera = {cam_id: arr.copy() for cam_id, arr in packed_by_camera.items()}
+                            last_payload_float = raw3_preview.copy()
+
+                        else:
+                            source_camera = meta.get("source_camera") or {}
+                            bit_depth = int(source_camera.get("bit_depth", meta.get("source_bit_depth", 10)))
+
+                            preview_bgr, raw3_preview, packed_single = build_preview_from_raw_cam0(
+                                frame,
+                                processor_core_cam0,
+                                processor_preview_cam0,
+                                bit_depth=bit_depth,
+                            )
+
+                            last_packed_raw = packed_single.copy()
+                            last_packed_raw_by_camera = None
+                            last_payload_float = raw3_preview.copy()
 
                     elif frame_type == "RGB":
                         rgb_chw = frame
-                        if rgb_chw.ndim != 3:
-                            raise RuntimeError(f"Frame RGB inválido: shape={rgb_chw.shape}")
+                        if not isinstance(rgb_chw, np.ndarray) or rgb_chw.ndim != 3:
+                            raise RuntimeError(f"Frame RGB inválido: type={type(rgb_chw)}")
 
                         if dtype_str == "uint8":
-                            raw3 = rgb_chw.astype(np.float32) / 255.0
+                            payload_float = rgb_chw.astype(np.float32) / 255.0
                         elif dtype_str == "float32":
-                            raw3 = rgb_chw.astype(np.float32)
+                            payload_float = rgb_chw.astype(np.float32)
+                        elif dtype_str == "uint16":
+                            payload_float = rgb_chw.astype(np.float32) / 65535.0
                         else:
                             raise RuntimeError(f"dtype RGB não suportado: {dtype_str}")
 
-                        preview_rgb = np.transpose(raw3, (1, 2, 0))
+                        preview_rgb = np.transpose(payload_float, (1, 2, 0))
                         preview_bgr = cv2.cvtColor(
                             np.clip(preview_rgb * 255.0, 0, 255).astype(np.uint8),
                             cv2.COLOR_RGB2BGR
                         )
 
+                        last_payload_float = payload_float.copy()
                         last_packed_raw = None
+                        last_packed_raw_by_camera = None
+
+                    elif frame_type == "RGBNIR":
+                        rgbnir_chw = frame
+                        if not isinstance(rgbnir_chw, np.ndarray) or rgbnir_chw.ndim != 3 or rgbnir_chw.shape[0] != 5:
+                            raise RuntimeError(f"Frame RGBNIR inválido: shape={getattr(rgbnir_chw, 'shape', None)}")
+
+                        if dtype_str == "uint8":
+                            payload_float = rgbnir_chw.astype(np.float32) / 255.0
+                        elif dtype_str == "float32":
+                            payload_float = rgbnir_chw.astype(np.float32)
+                        elif dtype_str == "uint16":
+                            payload_float = rgbnir_chw.astype(np.float32) / 65535.0
+                        else:
+                            raise RuntimeError(f"dtype RGBNIR não suportado: {dtype_str}")
+
+                        preview_rgb = np.transpose(payload_float[:3], (1, 2, 0))
+                        preview_bgr = cv2.cvtColor(
+                            np.clip(preview_rgb * 255.0, 0, 255).astype(np.uint8),
+                            cv2.COLOR_RGB2BGR
+                        )
+
+                        last_payload_float = payload_float.copy()
+                        last_packed_raw = None
+                        last_packed_raw_by_camera = None
 
                     else:
                         raise RuntimeError(f"frame_type não suportado neste script: {frame_type}")
@@ -350,9 +495,6 @@ def main():
                     else:
                         preview_show = preview_bgr.copy()
 
-                    # =========================
-                    # FPS do stream (frames recebidos)
-                    # =========================
                     curr_frame_id = meta.get("frame_id")
 
                     if last_stream_frame_id is not None and curr_frame_id is not None:
@@ -368,9 +510,6 @@ def main():
                         stream_frames_accum = 0
                         t_stream_fps = time.time()
 
-                    # =========================
-                    # FPS de visualização/processamento no PC
-                    # =========================
                     view_frames += 1
                     dt_view = time.time() - t_view_fps
                     if dt_view >= 1.0:
@@ -378,13 +517,13 @@ def main():
                         view_frames = 0
                         t_view_fps = time.time()
 
+                    active_sources = meta.get("payload_sources")
                     lines = [
                         f"CANA: {args.cana} | HORA: {args.horario} | Pasta: {os.path.basename(session_dir)}",
-                        f"AutoSave: {'ON' if auto_save else 'OFF'} | Intervalo: {args.interval:.1f}s | PreviewScale: {preview_upscale}",
-                        f"frame_id={meta.get('frame_id')} | FPS_STREAM={fps_stream:.1f} | FPS_VIEW={fps_view:.1f}",
+                        f"Type={meta.get('frame_type')} | CaptureMode={effective_capture_mode} | RAW policy={args.raw_policy}",
+                        f"Sources={active_sources} | FPS_STREAM={fps_stream:.1f} | FPS_VIEW={fps_view:.1f}",
+                        f"frame_id={meta.get('frame_id')} | layout={meta.get('output_layout')} | dtype={meta.get('dtype') or meta.get('output_dtype')}",
                         f"codec={meta.get('codec_name', meta.get('codec_family', '-'))} | comp={meta.get('dt_comp', 0):.4f}s | send={meta.get('dt_send_payload_prev', 0):.4f}s",
-                        f"packed={meta.get('width')}x{meta.get('height')} | raw3_shape={list(raw3.shape)}",
-                        f"type={meta.get('frame_type')} | layout={meta.get('output_layout')} | dtype={meta.get('dtype') or meta.get('output_dtype')}",
                         f"AE={'ON' if ae_enabled else 'OFF'} | AWB={'ON' if awb_enabled else 'OFF'} | EXP={manual_exposure_us} | GAIN={manual_gain}",
                         "Keys: C/SPACE=save | A=auto-save | E=AE | W=AWB | I/K=exp | O/L=gain | R=reset | M=preview | Q/Esc=quit",
                     ]
@@ -396,8 +535,7 @@ def main():
 
                     cv2.imshow(window_name, preview_show)
 
-                    last_raw3 = raw3.copy() if raw3 is not None else None
-                    last_preview_bgr = preview_bgr.copy() if preview_bgr is not None else None
+                    last_preview_bgr = preview_bgr.copy()
                     last_meta_stream = dict(meta)
 
                 except Exception as e:
@@ -409,11 +547,11 @@ def main():
 
             now = time.time()
             can_save = (
-                last_meta_stream is not None
-                and last_preview_bgr is not None
-                and (
-                    (last_meta_stream.get("frame_type") == "RGB" and last_raw3 is not None) or
-                    (last_meta_stream.get("frame_type") == "RAW_BRUTO" and last_packed_raw is not None)
+                last_meta_stream is not None and
+                last_preview_bgr is not None and
+                (
+                    (last_meta_stream.get("frame_type") in ("RGB", "RGBNIR") and last_payload_float is not None) or
+                    (last_meta_stream.get("frame_type") == "RAW_BRUTO" and (last_packed_raw is not None or last_packed_raw_by_camera is not None))
                 )
             )
 
@@ -426,35 +564,27 @@ def main():
                     "horario": args.horario,
                     "sensor_width": raw_w,
                     "sensor_height": raw_h,
-                    "bayer_pattern": last_meta_stream.get("source_bayer_pattern"),
+                    "bayer_pattern": args.bayer,
                     "fps_target": args.fps,
                     "frame_type": frame_type_save,
-                    "codec_family": last_meta_stream.get("codec_family"),
-                    "codec_name": last_meta_stream.get("codec_name"),
-                    "codec_params": last_meta_stream.get("codec_params"),
+                    "capture_mode_requested": args.capture_mode,
+                    "capture_mode_effective": effective_capture_mode,
+                    "raw_policy": args.raw_policy,
                     "stream_meta": last_meta_stream,
                     "note": "autosave",
                 }
 
-                if frame_type_save == "RGB":
-                    meta_save["raw3_shape"] = list(last_raw3.shape)
-                    meta_save["raw3_dtype"] = str(last_raw3.dtype)
-                elif frame_type_save == "RAW_BRUTO":
-                    meta_save["packed_shape"] = list(last_packed_raw.shape)
-                    meta_save["packed_dtype"] = str(last_packed_raw.dtype)
-                    meta_save["packed_height"] = int(last_packed_raw.shape[0])
-                    meta_save["packed_width"] = int(last_packed_raw.shape[1])
-
-                payload_path, _, _ = save_sample(
+                save_sample(
                     session_dir,
                     frame_type=frame_type_save,
                     preview_bgr=last_preview_bgr,
                     meta=meta_save,
-                    raw3=last_raw3,
+                    raw_payload=last_payload_float,
                     packed_raw=last_packed_raw,
+                    packed_raw_by_camera=last_packed_raw_by_camera,
                 )
 
-                last_msg = f"SALVO (auto): {os.path.basename(payload_path)}"
+                last_msg = "SALVO (auto)"
                 last_msg_t = now
                 last_auto_t = now
 
@@ -487,7 +617,6 @@ def main():
                 last_msg_t = time.time()
 
             elif k in (ord("i"), ord("I")):
-                # aumenta exposição manual
                 if manual_exposure_us is None:
                     manual_exposure_us = 15000
                 else:
@@ -503,7 +632,6 @@ def main():
                 last_msg_t = time.time()
 
             elif k in (ord("k"), ord("K")):
-                # diminui exposição manual
                 if manual_exposure_us is None:
                     manual_exposure_us = 15000
                 else:
@@ -519,7 +647,6 @@ def main():
                 last_msg_t = time.time()
 
             elif k in (ord("o"), ord("O")):
-                # aumenta ganho manual
                 if manual_gain is None:
                     manual_gain = 1.0
                 else:
@@ -535,7 +662,6 @@ def main():
                 last_msg_t = time.time()
 
             elif k in (ord("l"), ord("L")):
-                # diminui ganho manual
                 if manual_gain is None:
                     manual_gain = 1.0
                 else:
@@ -551,7 +677,6 @@ def main():
                 last_msg_t = time.time()
 
             elif k in (ord("r"), ord("R")):
-                # reset manuais
                 svc.clear_exposure_time()
                 svc.clear_analogue_gain()
                 svc.clear_colour_gains()
@@ -564,15 +689,6 @@ def main():
                 last_msg_t = time.time()
 
             elif k in (ord("c"), ord("C"), 32):
-                can_save = (
-                    last_meta_stream is not None
-                    and last_preview_bgr is not None
-                    and (
-                        (last_meta_stream.get("frame_type") == "RGB" and last_raw3 is not None) or
-                        (last_meta_stream.get("frame_type") == "RAW_BRUTO" and last_packed_raw is not None)
-                    )
-                )
-
                 if can_save:
                     frame_type_save = last_meta_stream.get("frame_type")
 
@@ -582,12 +698,11 @@ def main():
                         "horario": args.horario,
                         "sensor_width": raw_w,
                         "sensor_height": raw_h,
-                        "bayer_pattern": last_meta_stream.get("source_bayer_pattern"),
+                        "bayer_pattern": args.bayer,
                         "fps_target": args.fps,
                         "frame_type": frame_type_save,
-                        "codec_family": last_meta_stream.get("codec_family"),
-                        "codec_name": last_meta_stream.get("codec_name"),
-                        "codec_params": last_meta_stream.get("codec_params"),
+                        "capture_mode": args.capture_mode,
+                        "raw_policy": args.raw_policy,
                         "stream_meta": last_meta_stream,
                         "camera_controls": {
                             "ae_enable": ae_enabled,
@@ -599,25 +714,17 @@ def main():
                         "note": "manual",
                     }
 
-                    if frame_type_save == "RGB":
-                        meta_save["raw3_shape"] = list(last_raw3.shape)
-                        meta_save["raw3_dtype"] = str(last_raw3.dtype)
-                    elif frame_type_save == "RAW_BRUTO":
-                        meta_save["packed_shape"] = list(last_packed_raw.shape)
-                        meta_save["packed_dtype"] = str(last_packed_raw.dtype)
-                        meta_save["packed_height"] = int(last_packed_raw.shape[0])
-                        meta_save["packed_width"] = int(last_packed_raw.shape[1])
-
-                    payload_path, _, _ = save_sample(
+                    save_sample(
                         session_dir,
                         frame_type=frame_type_save,
                         preview_bgr=last_preview_bgr,
                         meta=meta_save,
-                        raw3=last_raw3,
+                        raw_payload=last_payload_float,
                         packed_raw=last_packed_raw,
+                        packed_raw_by_camera=last_packed_raw_by_camera,
                     )
 
-                    last_msg = f"SALVO (manual): {os.path.basename(payload_path)}"
+                    last_msg = "SALVO (manual)"
                     last_msg_t = time.time()
 
             dt_loop = time.time() - t0

Python/raspi/cam_2/multispectral_service.py

@@ -0,0 +1,332 @@
+import socket
+import json
+import numpy as np
+import base64
+import time
+from typing import Optional
+
+
+class MultiSpectralService:
+    def __init__(self, host="192.168.105.6", port=5000, timeout=5):
+        self.host = host
+        self.port = port
+        self.timeout = timeout
+        self.sock = None
+        self.file = None
+
+    def __enter__(self):
+        self.connect()
+        return self
+
+    def __exit__(self, exc_type, exc, tb):
+        self.disconnect()
+
+    def connect(self):
+        if self.sock is not None:
+            return
+
+        self.sock = socket.create_connection((self.host, self.port), timeout=self.timeout)
+        self.sock.settimeout(self.timeout)
+        self.file = self.sock.makefile("r", encoding="utf-8")
+
+    def disconnect(self):
+        try:
+            if self.file:
+                self.file.close()
+        except Exception:
+            pass
+
+        try:
+            if self.sock:
+                self.sock.close()
+        except Exception:
+            pass
+
+        self.file = None
+        self.sock = None
+
+    def check_connection(self, timeout: float = None) -> bool:
+        try:
+            self.connect()
+
+            resp = self._send_command({"cmd": "ping"})
+            return resp.get("ok") and resp.get("reply") == "pong"
+
+        except Exception:
+            return False
+
+    def is_alive(self) -> bool:
+        try:
+            self.connect()
+            resp = self._send_command({"cmd": "ping"})
+            return resp.get("ok") and resp.get("reply") == "pong"
+        except Exception:
+            return False
+
+    def ensure_alive(self):
+        try:
+            self.connect()
+        except Exception as e:
+            raise RuntimeError(
+                f"Não foi possível conectar ao módulo em {self.host}:{self.port}. "
+                f"Verifique rede, IP e se o Pi está ligado. Erro: {e}"
+            ) from e
+
+        try:
+            resp = self._send_command({"cmd": "ping"})
+        except Exception as e:
+            raise RuntimeError(
+                f"Conectou ao endereço {self.host}:{self.port}, mas o módulo não respondeu ao ping. "
+                f"Verifique se o serviço está rodando no Pi. Erro: {e}"
+            ) from e
+
+        if not resp.get("ok") or resp.get("reply") != "pong":
+            raise RuntimeError(
+                f"Resposta inválida do módulo ao ping: {resp}"
+            )
+
+    def _send_command(self, payload: dict) -> dict:
+        if self.sock is None:
+            self.connect()
+
+        data = (json.dumps(payload) + "\n").encode("utf-8")
+        self.sock.sendall(data)
+
+        line = self.file.readline()
+        if not line:
+            self.disconnect()
+            raise RuntimeError("Conexão encerrada pelo servidor")
+
+        return json.loads(line.strip())
+
+    def _numpy_dtype_from_string(self, dtype_str: str):
+        mapping = {
+            "uint8": np.uint8,
+            "float32": np.float32,
+            "uint16": np.uint16,
+        }
+        if dtype_str not in mapping:
+            raise RuntimeError(f"dtype não suportado recebido do Pi: {dtype_str}")
+        return mapping[dtype_str]
+
+    def _reshape_array(self, raw_bytes: bytes, dtype_str: str, layout: str, width: int, height: int, channels: int):
+        np_dtype = self._numpy_dtype_from_string(dtype_str)
+        arr = np.frombuffer(raw_bytes, dtype=np_dtype)
+
+        if layout == "HW":
+            return arr.reshape(height, width)
+
+        if layout == "CHW":
+            return arr.reshape(channels, height, width)
+
+        if layout == "HWC":
+            return arr.reshape(height, width, channels)
+
+        raise RuntimeError(f"Layout não suportado recebido do Pi: {layout}")
+
+    def ping(self):
+        return self._send_command({"cmd": "ping"})
+
+    def get_status(self):
+        return self._send_command({"cmd": "get_status"})
+
+    def get_config(self):
+        return self._send_command({"cmd": "get_config"})
+
+    def begin(self, frame_type: str = "RAW_BRUTO", output_dtype: str = "uint8", capture_mode: str = "AUTO"):
+        return self._send_command({
+            "cmd": "begin",
+            "frame_type": frame_type,
+            "output_dtype": output_dtype,
+            "capture_mode": capture_mode,
+        })
+
+    def stop(self):
+        return self._send_command({"cmd": "stop"})
+
+    def set_fps(self, fps: int):
+        return self._send_command({"cmd": "set_fps", "value": fps})
+
+    def set_jpeg_quality(self, quality: int):
+        return self._send_command({"cmd": "set_jpeg_quality", "value": quality})
+
+    def set_frame_type(self, frame_type: str):
+        return self._send_command({"cmd": "set_frame_type", "value": frame_type})
+
+    def set_output_dtype(self, output_dtype: str):
+        return self._send_command({"cmd": "set_output_dtype", "value": output_dtype})
+
+    def set_capture_mode(self, capture_mode: str):
+        return self._send_command({"cmd": "set_capture_mode", "value": capture_mode})
+
+    def set_camera_enabled(self, index: int, enabled: bool):
+        return self._send_command({
+            "cmd": "set_camera_enabled",
+            "index": index,
+            "enabled": bool(enabled)
+        })
+
+    def set_camera_bayer(self, index: int, bayer_pattern: str):
+        return self._send_command({
+            "cmd": "set_camera_bayer",
+            "index": index,
+            "pattern": bayer_pattern
+        })
+
+    def set_camera_resolution(self, index: int, width: int, height: int):
+        return self._send_command({
+            "cmd": "set_camera_resolution",
+            "index": index,
+            "width": width,
+            "height": height
+        })
+
+    def capture_frame(self):
+        t0 = time.perf_counter()
+
+        resp = self._send_command({"cmd": "capture_frame"})
+        if not resp.get("ok"):
+            raise RuntimeError(resp.get("error", "Falha ao capturar frame"))
+
+        encoding = resp.get("encoding", "base64")
+        output_layout = resp.get("output_layout", "HW")
+        dtype_str = resp.get("dtype") or resp.get("output_dtype") or "uint8"
+
+        meta = {
+            "frame_type": resp.get("frame_type"),
+            "payload_format_version": resp.get("payload_format_version"),
+            "output_dtype": resp.get("output_dtype"),
+            "dtype": dtype_str,
+            "output_layout": output_layout,
+            "output_channel_names": resp.get("output_channel_names"),
+            "payload_sources": resp.get("payload_sources"),
+            "source_camera": resp.get("source_camera"),
+            "source_cameras": resp.get("source_cameras"),
+            "camera_frames": resp.get("camera_frames"),
+            "multi_payload": resp.get("multi_payload", False),
+            "payload_parts": resp.get("payload_parts"),
+            "packed_width": resp.get("packed_width"),
+            "packed_height": resp.get("packed_height"),
+            "source_width": resp.get("source_width"),
+            "source_height": resp.get("source_height"),
+            "source_bayer_pattern": resp.get("source_bayer_pattern"),
+            "source_bit_depth": resp.get("source_bit_depth"),
+            "size": resp.get("size"),
+            "ts_pi": resp.get("ts_pi"),
+            "ts_pi_monotonic": resp.get("ts_pi_monotonic"),
+            "dt_trigger": resp.get("dt_trigger"),
+            "dt_settle": resp.get("dt_settle"),
+            "dt_capture": resp.get("dt_capture"),
+            "dt_process": resp.get("dt_process"),
+            "dt_total_pi": resp.get("dt_total_pi"),
+        }
+
+        if encoding == "base64":
+            raw = base64.b64decode(resp["data"])
+
+            width = int(resp.get("output_width", resp.get("width")))
+            height = int(resp.get("output_height", resp.get("height")))
+            channels = int(resp.get("output_channels", resp.get("channels", 1)))
+
+            arr = self._reshape_array(
+                raw_bytes=raw,
+                dtype_str=dtype_str,
+                layout=output_layout,
+                width=width,
+                height=height,
+                channels=channels,
+            )
+
+            meta.update({
+                "width": width,
+                "height": height,
+                "channels": channels,
+                "dt_total_pc": time.perf_counter() - t0,
+            })
+            return arr, meta
+
+        if encoding == "base64-multi":
+            frames_resp = resp.get("frames", {})
+            frames = {}
+
+            payload_parts = resp.get("payload_parts", [])
+            parts_by_cam = {p.get("camera_id"): p for p in payload_parts if p.get("camera_id")}
+
+            camera_frames = resp.get("camera_frames", {})
+
+            for cam_id, item in frames_resp.items():
+                raw = base64.b64decode(item["data"])
+                cam_meta = camera_frames.get(cam_id, {})
+                part_meta = parts_by_cam.get(cam_id, {})
+
+                width = int(cam_meta.get("width"))
+                height = int(cam_meta.get("height"))
+                channels = int(cam_meta.get("channels", 1))
+
+                # Para RAW bruto multi, cada parte tende a ser HW
+                arr = self._reshape_array(
+                    raw_bytes=raw,
+                    dtype_str=dtype_str if dtype_str != "multi" else "uint16",
+                    layout="HW",
+                    width=width,
+                    height=height,
+                    channels=channels,
+                )
+
+                frames[cam_id] = arr
+
+            meta.update({
+                "frames_meta": camera_frames,
+                "dt_total_pc": time.perf_counter() - t0,
+            })
+            return frames, meta
+
+        raise RuntimeError(f"encoding não suportado recebido do Pi: {encoding}")
+
+    def capture_frame_array(self):
+        return self.capture_frame()
+
+    def start_stream(self, host: str, port: int, fps: float):
+        return self._send_command({
+            "cmd": "start_stream",
+            "host": host,
+            "port": port,
+            "fps": fps
+        })
+
+    def stop_stream(self):
+        return self._send_command({"cmd": "stop_stream"})
+
+    def get_camera_controls(self):
+        return self._send_command({"cmd": "get_camera_controls"})
+
+    def set_ae_enable(self, value: bool):
+        return self._send_command({"cmd": "set_ae_enable", "value": bool(value)})
+
+    def set_awb_enable(self, value: bool):
+        return self._send_command({"cmd": "set_awb_enable", "value": bool(value)})
+
+    def set_exposure_time(self, exposure_time_us: Optional[int] = None):
+        return self._send_command({"cmd": "set_exposure_time", "value": exposure_time_us})
+
+    def clear_exposure_time(self):
+        return self._send_command({"cmd": "clear_exposure_time"})
+
+    def set_analogue_gain(self, gain: float | None):
+        return self._send_command({"cmd": "set_analogue_gain", "value": gain})
+
+    def clear_analogue_gain(self):
+        return self._send_command({"cmd": "clear_analogue_gain"})
+
+    def set_colour_gains(self, r_gain: float, b_gain: float):
+        return self._send_command({
+            "cmd": "set_colour_gains",
+            "r_gain": r_gain,
+            "b_gain": b_gain
+        })
+
+    def clear_colour_gains(self):
+        return self._send_command({"cmd": "clear_colour_gains"})
+
+    def get_sensor_modes(self):
+        return self._send_command({"cmd": "get_sensor_modes"})

Python/raspi/cam_2/pi/camera_manager.py

@@ -0,0 +1,256 @@
+from picamera2 import Picamera2
+from threading import Lock, RLock
+import threading
+import time
+import numpy as np
+
+
+class CameraManager:
+    def __init__(self, state):
+        self.state = state
+        self.initialized = False
+
+        self.camera_lock = RLock()
+        self.frame_lock = Lock()
+
+        self.cameras_runtime = {}
+        self._reconfigure_needed = False
+        self._sensor_modes_cache = None
+
+    def mark_reconfigure_needed(self):
+        with self.camera_lock:
+            self._reconfigure_needed = True
+
+    def _init_camera_runtime(self, cam_spec):
+        return {
+            "picam2": None,
+            "last_frame": None,
+            "frame_id": 0,
+            "frame_ts": None,
+            "buffer": None,
+            "stop_event": threading.Event(),
+            "thread": None
+        }
+
+    def _get_required_camera_ids(self):
+        frame_type = self.state.frame_type
+        resolved_mode = self.state.resolve_capture_mode()
+
+        if frame_type == "RGB":
+            return ["cam0"]
+
+        if frame_type == "RGBNIR":
+            return ["cam0", "cam1"]
+
+        if frame_type == "RAW_BRUTO":
+            if resolved_mode == "DUAL":
+                return ["cam0", "cam1"]
+            return ["cam0"]
+
+        return ["cam0"]
+
+    def begin(self):
+        with self.camera_lock:
+            self.stop()
+
+            required_ids = set(self._get_required_camera_ids())
+
+            for cam in self.state.cameras:
+                if cam.id not in required_ids:
+                    self.state.set_camera_connected(cam.index, False)
+                    continue
+
+                try:
+                    picam2 = Picamera2(camera_num=cam.index)
+
+                    config = picam2.create_video_configuration(
+                        main={"size": (640, 480), "format": "RGB888"},
+                        raw={"size": (cam.width, cam.height)},
+                        buffer_count=6
+                    )
+
+                    picam2.configure(config)
+                    picam2.start()
+
+                    runtime = self._init_camera_runtime(cam)
+                    runtime["picam2"] = picam2
+                    self.cameras_runtime[cam.id] = runtime
+
+                    self.state.set_camera_connected(
+                        cam.index,
+                        True,
+                        width=cam.width,
+                        height=cam.height,
+                        bayer_pattern=cam.bayer_pattern,
+                        bit_depth=cam.bit_depth
+                    )
+
+                except Exception as e:
+                    print(f"[WARN] Falha ao abrir {cam.id} (index={cam.index}): {e}")
+                    self.state.set_camera_connected(cam.index, False)
+
+            for cam_id in self.state.active_camera_ids:
+                self._start_thread(cam_id)
+
+            self.initialized = len(self.cameras_runtime) > 0
+            self._reconfigure_needed = False
+
+        return self.initialized
+
+    def _start_thread(self, cam_id):
+        runtime = self.cameras_runtime[cam_id]
+        runtime["stop_event"].clear()
+
+        t = threading.Thread(
+            target=self._update_loop,
+            args=(cam_id,),
+            daemon=True
+        )
+        runtime["thread"] = t
+        t.start()
+
+    def _update_loop(self, cam_id):
+        runtime = self.cameras_runtime[cam_id]
+
+        while not runtime["stop_event"].is_set():
+            request = None
+            try:
+                picam2 = runtime["picam2"]
+                request = picam2.capture_request()
+
+                raw = request.make_array("raw")
+
+                with self.frame_lock:
+                    if (
+                        runtime["buffer"] is None or
+                        runtime["buffer"].shape != raw.shape or
+                        runtime["buffer"].dtype != raw.dtype
+                    ):
+                        runtime["buffer"] = raw.copy()
+                    else:
+                        np.copyto(runtime["buffer"], raw)
+
+                    runtime["last_frame"] = runtime["buffer"]
+                    runtime["frame_id"] += 1
+                    runtime["frame_ts"] = time.perf_counter()
+
+            except Exception as e:
+                print(f"[ERRO LOOP {cam_id}] {e}")
+                time.sleep(0.05)
+
+            finally:
+                if request is not None:
+                    try:
+                        request.release()
+                    except Exception:
+                        pass
+
+    def capture_raw_frames(self):
+        result = {}
+
+        with self.frame_lock:
+            for cam_id, runtime in self.cameras_runtime.items():
+                if runtime["last_frame"] is None:
+                    continue
+
+                frame = runtime["last_frame"]
+                h, w = frame.shape[:2]
+
+                result[cam_id] = (
+                    frame,
+                    w,
+                    h,
+                    1,
+                    runtime["frame_id"],
+                    runtime["frame_ts"]
+                )
+
+        return result
+
+    def apply_controls(self):
+        with self.camera_lock:
+            for runtime in self.cameras_runtime.values():
+                picam2 = runtime.get("picam2")
+                if picam2 is None:
+                    continue
+
+                controls = {}
+                frame_us = int(1_000_000 / max(1, self.state.fps or 10))
+                controls["FrameDurationLimits"] = (frame_us, frame_us)
+                controls["AeEnable"] = bool(self.state.ae_enable)
+                controls["AwbEnable"] = bool(self.state.awb_enable)
+
+                if not self.state.ae_enable:
+                    if self.state.exposure_time_us is not None:
+                        controls["ExposureTime"] = int(self.state.exposure_time_us)
+                    if self.state.analogue_gain is not None:
+                        controls["AnalogueGain"] = float(self.state.analogue_gain)
+
+                if not self.state.awb_enable and self.state.colour_gains is not None:
+                    r_gain, b_gain = self.state.colour_gains
+                    controls["ColourGains"] = (float(r_gain), float(b_gain))
+
+                try:
+                    picam2.set_controls(controls)
+                except Exception as e:
+                    print(f"[ERRO CONTROLS] {e} | controls={controls}")
+
+        return True
+
+    def get_sensor_modes(self):
+        if self._sensor_modes_cache is not None:
+            return self._sensor_modes_cache
+
+        try:
+            temp = Picamera2(camera_num=0)
+            modes = temp.sensor_modes
+            result = []
+
+            for i, m in enumerate(modes):
+                result.append({
+                    "index": i,
+                    "format": str(m.get("format")) if m.get("format") is not None else None,
+                    "size": list(m.get("size")) if m.get("size") is not None else None,
+                    "bit_depth": m.get("bit_depth"),
+                    "fps": m.get("fps"),
+                    "crop_limits": list(m.get("crop_limits")) if m.get("crop_limits") is not None else None,
+                    "exposure_limits": list(m.get("exposure_limits")) if m.get("exposure_limits") is not None else None,
+                })
+
+            self._sensor_modes_cache = result
+            return result
+
+        finally:
+            try:
+                temp.close()
+            except Exception:
+                pass
+
+    def stop(self):
+        with self.camera_lock:
+            for runtime in self.cameras_runtime.values():
+                runtime["stop_event"].set()
+
+            for runtime in self.cameras_runtime.values():
+                t = runtime.get("thread")
+                if t:
+                    t.join(timeout=1)
+
+            for runtime in self.cameras_runtime.values():
+                cam = runtime.get("picam2")
+                if cam:
+                    try:
+                        cam.stop()
+                    except Exception:
+                        pass
+                    try:
+                        cam.close()
+                    except Exception:
+                        pass
+
+            self.cameras_runtime.clear()
+            self.initialized = False
+            self._reconfigure_needed = False
+
+            for cam in self.state.cameras:
+                self.state.set_camera_connected(cam.index, False)

Python/raspi/cam_2/pi/frame_service.py

@@ -0,0 +1,405 @@
+import time
+import threading
+import base64
+import numpy as np
+
+
+class FrameService:
+    def __init__(self, state, trigger_manager, camera_manager):
+        self.state = state
+        self.trigger = trigger_manager
+        self.camera = camera_manager
+        self._capture_lock = threading.RLock()
+        self.raw_processors = {}
+
+    def _get_camera_spec(self, cam_id):
+        cam = self.state.get_camera(cam_id)
+        if cam is None:
+            raise RuntimeError(f"Câmera '{cam_id}' não encontrada no state")
+        return cam
+
+    def _ensure_raw_processor_for_camera(self, cam_id):
+        cam = self._get_camera_spec(cam_id)
+        rp = self.raw_processors.get(cam_id)
+
+        if (
+            rp is None or
+            rp.sensor_width != cam.width or
+            rp.sensor_height != cam.height or
+            rp.bayer_pattern.upper() != cam.bayer_pattern.upper()
+        ):
+            from raw_processor_core import RawProcessorCore
+            rp = RawProcessorCore(
+                sensor_width=cam.width,
+                sensor_height=cam.height,
+                bayer_pattern=cam.bayer_pattern,
+            )
+            self.raw_processors[cam_id] = rp
+
+        return rp
+
+    def _capture_with_retry(self, required_sources, max_attempts=10, retry_delay_s=0.02):
+        last_frames = None
+
+        for _ in range(max_attempts):
+            frames = self.camera.capture_raw_frames()
+
+            ok = True
+            for cam_id in required_sources:
+                info = frames.get(cam_id)
+                if info is None:
+                    ok = False
+                    break
+
+                frame, width, height, channels, frame_id, frame_ts = info
+                if frame is None or width <= 0 or height <= 0 or channels <= 0:
+                    ok = False
+                    break
+
+            if ok:
+                return frames
+
+            last_frames = frames
+            time.sleep(retry_delay_s)
+
+        raise RuntimeError(
+            f"Capture retornou frames insuficientes após {max_attempts} tentativas. "
+            f"required_sources={required_sources}, received_sources={list((last_frames or {}).keys())}"
+        )
+
+    def capture_frame_raw(self):
+        with self._capture_lock:
+            if not self.state.initialized:
+                raise RuntimeError("Módulo não inicializado")
+
+            t0_perf = time.perf_counter()
+            t0_unix = time.time()
+
+            dt_trigger = 0.0
+            dt_settle = 0.0
+            dt_capture = 0.0
+            dt_process = 0.0
+
+            required_sources = list(self.state.payload.sources)
+
+            try:
+                if self.state.trigger_enabled:
+                    trig_start = time.perf_counter()
+                    self.trigger.pulse()
+                    trig_end = time.perf_counter()
+                    dt_trigger = trig_end - trig_start
+
+                    settle_ms = float(getattr(self.state, "trigger_settle_delay_ms", 0.0) or 0.0)
+                    if settle_ms > 0:
+                        settle_start = time.perf_counter()
+                        time.sleep(settle_ms / 1000.0)
+                        settle_end = time.perf_counter()
+                        dt_settle = settle_end - settle_start
+
+                cap_start = time.perf_counter()
+                raw_frames = self._capture_with_retry(required_sources)
+                cap_end = time.perf_counter()
+                dt_capture = cap_end - cap_start
+
+                proc_start = time.perf_counter()
+                frame_out, meta_extra = self._build_output_frame(raw_frames)
+                proc_end = time.perf_counter()
+                dt_process = proc_end - proc_start
+
+            except Exception as e:
+                raise RuntimeError(f"Falha durante captura/processamento de frame: {e}") from e
+
+            if frame_out is None:
+                raise RuntimeError("Frame processado retornou nulo")
+
+            total_end = time.perf_counter()
+
+            self.state.stream_frame_id += 1
+            frame_id = self.state.stream_frame_id
+
+            camera_frames_meta = {}
+            for cam_id, info in raw_frames.items():
+                frame, width, height, channels, cam_frame_id, cam_frame_ts = info
+                cam = self._get_camera_spec(cam_id)
+
+                camera_frames_meta[cam_id] = {
+                    "camera_frame_id": int(cam_frame_id),
+                    "camera_frame_ts": cam_frame_ts,
+                    "width": int(width),
+                    "height": int(height),
+                    "channels": int(channels),
+                    "bayer_pattern": cam.bayer_pattern,
+                    "bit_depth": int(cam.bit_depth),
+                }
+
+            meta = {
+                "frame_id": frame_id,
+                "ts_pi": t0_unix,
+                "ts_pi_monotonic": t0_perf,
+
+                "dt_trigger": dt_trigger,
+                "dt_settle": dt_settle,
+                "dt_capture": dt_capture,
+                "dt_process": dt_process,
+                "dt_total_pi": total_end - t0_perf,
+
+                "camera_frames": camera_frames_meta,
+                "capture_mode_resolved": self.state.resolve_capture_mode(),
+                "payload_format_version": self.state.payload_format_version,
+            }
+
+            meta.update(meta_extra)
+            return frame_out, meta
+
+    def capture_frame_base64(self):
+        frame, meta = self.capture_frame_raw()
+
+        if isinstance(frame, dict):
+            encoded = {}
+            total_size = 0
+
+            for cam_id, arr in frame.items():
+                frame_bytes = arr.tobytes()
+                total_size += len(frame_bytes)
+                encoded[cam_id] = {
+                    "encoding": "base64",
+                    "size": len(frame_bytes),
+                    "data": base64.b64encode(frame_bytes).decode("ascii"),
+                }
+
+            meta["encoding"] = "base64-multi"
+            meta["size"] = total_size
+            meta["frames"] = encoded
+            return meta
+
+        frame_bytes = frame.tobytes()
+        meta["encoding"] = "base64"
+        meta["size"] = len(frame_bytes)
+        meta["data"] = base64.b64encode(frame_bytes).decode("ascii")
+        return meta
+
+    def _build_output_frame(self, raw_frames):
+        if self.state.frame_type == "RAW_BRUTO":
+            return self._process_raw_bruto(raw_frames)
+
+        if self.state.frame_type == "RGB":
+            return self._process_rgb(raw_frames)
+
+        if self.state.frame_type == "RGBNIR":
+            return self._process_rgbnir(raw_frames)
+
+        raise RuntimeError(f"frame_type inválido: {self.state.frame_type}")
+
+    def _convert_output_dtype(self, arr, bit_depth):
+        max_sensor_value = (1 << int(bit_depth)) - 1
+
+        if self.state.output_dtype == "uint8":
+            if arr.dtype == "uint8":
+                return arr
+            if arr.dtype == "float32":
+                return (arr * 255.0).clip(0, 255).astype("uint8")
+            if arr.dtype.kind in ("u", "i"):
+                max_val = arr.max() if arr.size > 0 else 0
+                if max_val <= 255:
+                    return arr.astype("uint8")
+                return ((arr.astype("float32") / max_sensor_value) * 255.0).clip(0, 255).astype("uint8")
+            raise RuntimeError(f"dtype não suportado para uint8: {arr.dtype}")
+
+        if self.state.output_dtype == "uint16":
+            if arr.dtype == "uint16":
+                return arr
+            if arr.dtype == "uint8":
+                return (arr.astype("uint16") << 8)
+            if arr.dtype == "float32":
+                return (arr * 65535.0).clip(0, 65535).astype("uint16")
+            if arr.dtype.kind in ("u", "i"):
+                return arr.astype("uint16")
+            raise RuntimeError(f"dtype não suportado para uint16: {arr.dtype}")
+
+        if self.state.output_dtype == "float32":
+            if arr.dtype == "float32":
+                return arr
+            if arr.dtype == "uint8":
+                return arr.astype("float32") / 255.0
+            if arr.dtype.kind in ("u", "i"):
+                max_val = arr.max() if arr.size > 0 else 0
+                if max_val <= 255:
+                    return arr.astype("float32") / 255.0
+                return arr.astype("float32") / max_sensor_value
+            raise RuntimeError(f"dtype não suportado para float32: {arr.dtype}")
+
+        raise RuntimeError(f"output_dtype inválido: {self.state.output_dtype}")
+
+    def _process_raw_bruto(self, raw_frames):
+        sources = list(self.state.payload.sources)
+
+        if len(sources) == 1:
+            cam_id = sources[0]
+            frame, width, height, channels, cam_frame_id, cam_frame_ts = raw_frames[cam_id]
+            cam = self._get_camera_spec(cam_id)
+
+            meta_extra = {
+                "frame_type": self.state.frame_type,
+                "output_dtype": str(frame.dtype),
+                "dtype": str(frame.dtype),
+                "output_layout": "HW",
+                "output_channels": 1,
+                "output_channel_names": ["RAW10_PACKED"],
+                "output_width": int(width),
+                "output_height": int(height),
+                "width": int(width),
+                "height": int(height),
+                "channels": 1,
+                "payload_sources": [cam_id],
+                "source_camera": {
+                    "id": cam_id,
+                    "bayer_pattern": cam.bayer_pattern,
+                    "bit_depth": int(cam.bit_depth),
+                },
+            }
+            return frame, meta_extra
+
+        frames_out = {}
+        sources_meta = []
+
+        for cam_id in sources:
+            frame, width, height, channels, cam_frame_id, cam_frame_ts = raw_frames[cam_id]
+            cam = self._get_camera_spec(cam_id)
+            frames_out[cam_id] = frame
+            sources_meta.append({
+                "id": cam_id,
+                "width": int(width),
+                "height": int(height),
+                "bayer_pattern": cam.bayer_pattern,
+                "bit_depth": int(cam.bit_depth),
+            })
+
+        meta_extra = {
+            "frame_type": self.state.frame_type,
+            "output_dtype": "multi",
+            "dtype": "multi",
+            "output_layout": "MULTI_HW",
+            "output_channels": len(frames_out),
+            "output_channel_names": [f"RAW_{cam_id.upper()}" for cam_id in sources],
+            "output_width": None,
+            "output_height": None,
+            "width": None,
+            "height": None,
+            "channels": len(frames_out),
+            "payload_sources": sources,
+            "raw_sources": sources_meta,
+        }
+
+        return frames_out, meta_extra
+
+    def _process_rgb(self, raw_frames):
+        cam_id = self.state.payload.sources[0]
+        packed, packed_width, packed_height, _, _, _ = raw_frames[cam_id]
+        cam = self._get_camera_spec(cam_id)
+        rp = self._ensure_raw_processor_for_camera(cam_id)
+
+        if packed.ndim == 3 and packed.shape[2] == 1:
+            packed = packed[:, :, 0]
+
+        raw16 = rp.unpack_raw10_packed(packed)
+        rgb_chw = rp.build_training_rgb(raw16, bit_depth=cam.bit_depth)
+        rgb_chw = self._convert_output_dtype(rgb_chw, cam.bit_depth)
+
+        meta_extra = {
+            "frame_type": self.state.frame_type,
+            "output_dtype": self.state.output_dtype,
+            "dtype": str(rgb_chw.dtype),
+            "output_layout": "CHW",
+            "output_channels": 3,
+            "output_channel_names": ["R", "G", "B"],
+            "output_width": int(rgb_chw.shape[2]),
+            "output_height": int(rgb_chw.shape[1]),
+            "width": int(rgb_chw.shape[2]),
+            "height": int(rgb_chw.shape[1]),
+            "channels": 3,
+            "payload_sources": [cam_id],
+            "packed_width": int(packed_width),
+            "packed_height": int(packed_height),
+            "source_camera": {
+                "id": cam_id,
+                "bayer_pattern": cam.bayer_pattern,
+                "bit_depth": int(cam.bit_depth),
+                "source_width": int(cam.width),
+                "source_height": int(cam.height),
+            },
+        }
+
+        return rgb_chw, meta_extra
+
+    def _process_rgbnir(self, raw_frames):
+        sources = list(self.state.payload.sources)
+        if len(sources) < 2:
+            raise RuntimeError("RGBNIR requer duas câmeras ativas")
+
+        cam_rgb_id = sources[0]
+        cam_nir_id = sources[1]
+
+        packed_rgb, _, _, _, _, _ = raw_frames[cam_rgb_id]
+        packed_nir, _, _, _, _, _ = raw_frames[cam_nir_id]
+
+        cam_rgb = self._get_camera_spec(cam_rgb_id)
+        cam_nir = self._get_camera_spec(cam_nir_id)
+
+        rp_rgb = self._ensure_raw_processor_for_camera(cam_rgb_id)
+        rp_nir = self._ensure_raw_processor_for_camera(cam_nir_id)
+
+        if packed_rgb.ndim == 3 and packed_rgb.shape[2] == 1:
+            packed_rgb = packed_rgb[:, :, 0]
+        if packed_nir.ndim == 3 and packed_nir.shape[2] == 1:
+            packed_nir = packed_nir[:, :, 0]
+
+        raw16_rgb = rp_rgb.unpack_raw10_packed(packed_rgb)
+        raw16_nir = rp_nir.unpack_raw10_packed(packed_nir)
+
+        rgb_chw = rp_rgb.build_training_rgb(raw16_rgb, bit_depth=cam_rgb.bit_depth).astype("float32")
+        cam2_rgb = rp_nir.build_training_rgb(raw16_nir, bit_depth=cam_nir.bit_depth).astype("float32")
+
+        min_h = min(rgb_chw.shape[1], cam2_rgb.shape[1])
+        min_w = min(rgb_chw.shape[2], cam2_rgb.shape[2])
+
+        rgb_chw = rgb_chw[:, :min_h, :min_w]
+        cam2_rgb = cam2_rgb[:, :min_h, :min_w]
+
+        # assumindo ordem [R, G, B]
+        re_single = cam2_rgb[0:1, :, :]
+        nir_single = cam2_rgb[2:3, :, :]
+
+        rgbnir = np.concatenate([rgb_chw, nir_single, re_single], axis=0)
+        rgbnir = self._convert_output_dtype(rgbnir, max(cam_rgb.bit_depth, cam_nir.bit_depth))
+
+        meta_extra = {
+            "frame_type": self.state.frame_type,
+            "output_dtype": self.state.output_dtype,
+            "dtype": str(rgbnir.dtype),
+            "output_layout": "CHW",
+            "output_channels": 5,
+            "output_channel_names": ["R", "G", "B", "NIR", "RE"],
+            "output_width": int(rgbnir.shape[2]),
+            "output_height": int(rgbnir.shape[1]),
+            "width": int(rgbnir.shape[2]),
+            "height": int(rgbnir.shape[1]),
+            "channels": 5,
+            "payload_sources": [cam_rgb_id, cam_nir_id],
+            "source_cameras": [
+                {
+                    "id": cam_rgb_id,
+                    "role": cam_rgb.role,
+                    "bayer_pattern": cam_rgb.bayer_pattern,
+                    "bit_depth": int(cam_rgb.bit_depth),
+                },
+                {
+                    "id": cam_nir_id,
+                    "role": cam_nir.role,
+                    "bayer_pattern": cam_nir.bayer_pattern,
+                    "bit_depth": int(cam_nir.bit_depth),
+                },
+            ],
+            "rgbnir_note": "RGB da cam0; NIR extraído do canal B da cam1; RE extraído do canal R da cam1",
+        }
+
+        return rgbnir, meta_extra

Python/raspi/cam_2/pi/server.py

@@ -22,24 +22,35 @@ def parse_bool(value):
 
     raise ValueError("Valor booleano inválido")
 
+
 def parse_frame_type(value):
     valid = {"RAW_BRUTO", "RGB", "RGBNIR"}
     if value not in valid:
         raise ValueError(f"frame_type inválido: {value}")
     return value
 
+
 def parse_output_dtype(value):
-    valid = {"uint8", "float32"}
+    valid = {"uint8", "uint16", "float32"}
     if value not in valid:
         raise ValueError(f"output_dtype inválido: {value}")
     return value
 
+
+def parse_capture_mode(value):
+    valid = {"AUTO", "SINGLE", "DUAL"}
+    if value not in valid:
+        raise ValueError(f"capture_mode inválido: {value}")
+    return value
+
+
 def parse_bayer_pattern(value):
     valid = {"GBRG", "GRBG", "RGGB", "BGGR"}
     if value not in valid:
         raise ValueError(f"bayer_pattern inválido: {value}")
     return value
 
+
 class ModuleServer:
     def __init__(self, host="0.0.0.0", port=5000):
         self.host = host
@@ -66,6 +77,72 @@ class ModuleServer:
         if hasattr(self.camera, "mark_reconfigure_needed"):
             self.camera.mark_reconfigure_needed()
 
+    def _get_active_cameras(self):
+        return [cam for cam in self.state.cameras if cam.connected and cam.enabled]
+
+    def _get_primary_camera(self):
+        active = self._get_active_cameras()
+        if active:
+            return active[0]
+
+        if self.state.cameras:
+            return self.state.cameras[0]
+
+        return None
+
+    def _payload_dict(self):
+        payload = self.state.payload
+        return {
+            "payload_format_version": self.state.payload_format_version,
+            "frame_type": self.state.frame_type,
+            "output_dtype": self.state.output_dtype,
+            "output_layout": payload.layout,
+            "output_channels": payload.channels,
+            "output_channel_names": payload.channel_names,
+            "output_width": payload.width,
+            "output_height": payload.height,
+            "payload_sources": payload.sources,
+        }
+
+    def _source_dict(self):
+        cam = self._get_primary_camera()
+        if cam is None:
+            return {
+                "source_camera": None,
+                "source_width": 0,
+                "source_height": 0,
+                "source_bayer_pattern": None,
+                "source_bit_depth": None,
+            }
+
+        return {
+            "source_camera": cam.id,
+            "source_width": cam.width,
+            "source_height": cam.height,
+            "source_bayer_pattern": cam.bayer_pattern,
+            "source_bit_depth": cam.bit_depth,
+        }
+
+    def _build_config_response(self):
+        return {
+            "ok": True,
+            "module": self.state.module_name,
+            "version": self.state.version,
+            "status": self.state.status,
+            "initialized": self.state.initialized,
+            "streaming": self.state.streaming,
+            "fps": self.state.fps,
+            "jpeg_quality": self.state.jpeg_quality,
+            "capture_mode": self.state.capture_mode,
+            "detected_mode": self.state.detected_mode,
+            "camera_count_detected": self.state.camera_count_detected,
+            "camera_count_active": self.state.camera_count_active,
+            "active_camera_ids": self.state.active_camera_ids,
+            "cameras": [cam.to_dict() for cam in self.state.cameras],
+            **self._payload_dict(),
+            **self._source_dict(),
+        }
+
     def handle_command(self, msg: dict) -> dict:
         with self.lock:
             cmd = msg.get("cmd")
@@ -79,55 +156,25 @@ class ModuleServer:
                     return {"ok": True, **self.state.to_dict()}
 
                 if cmd == "get_config":
-                    return {
-                        "ok": True,
-                        "fps": self.state.fps,
-                        "jpeg_quality": self.state.jpeg_quality,
-                        "width": self.state.width,
-                        "height": self.state.height,
-                        "camera_id": self.state.camera_id,
-
-                        "payload_format_version": self.state.payload_format_version,
-
-                        "source_bayer_pattern": self.state.source_bayer_pattern,
-                        "source_bit_depth": self.state.source_bit_depth,
-
-                        "frame_type": self.state.frame_type,
-                        "output_dtype": self.state.output_dtype,
-                        "output_layout": self.state.output_layout,
-                        "output_channels": self.state.output_channels,
-                        "output_channel_names": self.state.output_channel_names,
-                        "output_width": self.state.output_width,
-                        "output_height": self.state.output_height,
-                    }
+                    return self._build_config_response()
 
                 if cmd == "begin":
                     frame_type = parse_frame_type(msg.get("frame_type", self.state.frame_type))
                     output_dtype = parse_output_dtype(msg.get("output_dtype", self.state.output_dtype))
+                    capture_mode = parse_capture_mode(msg.get("capture_mode", self.state.capture_mode))
 
-                    # Atualiza a especificação de saída ANTES de inicializar
                     self.state.frame_type = frame_type
                     self.state.output_dtype = output_dtype
-                    self.state.update_output_spec()
+                    self.state.capture_mode = capture_mode
+                    self.state.update_payload_spec()
 
                     if self.state.initialized:
                         return {
                             "ok": True,
                             "status": self.state.status,
                             "initialized": True,
-
-                            "payload_format_version": self.state.payload_format_version,
-
-                            "frame_type": self.state.frame_type,
-                            "output_dtype": self.state.output_dtype,
-                            "output_layout": self.state.output_layout,
-                            "output_channels": self.state.output_channels,
-                            "output_channel_names": self.state.output_channel_names,
-                            "output_width": self.state.output_width,
-                            "output_height": self.state.output_height,
-
-                            "source_bayer_pattern": self.state.source_bayer_pattern,
-                            "source_bit_depth": self.state.source_bit_depth,
+                            **self._payload_dict(),
+                            **self._source_dict(),
                         }
 
                     self.state.status = "initializing"
@@ -137,7 +184,6 @@ class ModuleServer:
                     self.camera.begin()
 
                     self.state.initialized = True
-                    self.state.camera_connected = True
                     self.state.status = "ready"
                     self.state.last_error = None
 
@@ -145,19 +191,8 @@ class ModuleServer:
                         "ok": True,
                         "status": self.state.status,
                         "initialized": True,
-
-                        "payload_format_version": self.state.payload_format_version,
-
-                        "frame_type": self.state.frame_type,
-                        "output_dtype": self.state.output_dtype,
-                        "output_layout": self.state.output_layout,
-                        "output_channels": self.state.output_channels,
-                        "output_channel_names": self.state.output_channel_names,
-                        "output_width": self.state.output_width,
-                        "output_height": self.state.output_height,
-
-                        "source_bayer_pattern": self.state.source_bayer_pattern,
-                        "source_bit_depth": self.state.source_bit_depth,
+                        **self._payload_dict(),
+                        **self._source_dict(),
                     }
 
                 if cmd == "stop":
@@ -171,7 +206,6 @@ class ModuleServer:
 
                     self.state.initialized = False
                     self.state.streaming = False
-                    self.state.camera_connected = False
                     self.state.status = "idle"
                     self.state.status_detail = None
                     return {"ok": True, "status": self.state.status}
@@ -187,7 +221,6 @@ class ModuleServer:
 
                     self.state.fps = value
                     self._mark_reconfigure_needed()
-
                     return {"ok": True, "fps": self.state.fps}
 
                 if cmd == "set_jpeg_quality":
@@ -198,37 +231,95 @@ class ModuleServer:
                     self.state.jpeg_quality = value
                     return {"ok": True, "jpeg_quality": self.state.jpeg_quality}
 
-                if cmd == "set_bayer":
-                    pattern = parse_bayer_pattern(msg.get("pattern", self.state.source_bayer_pattern))
-                    self.state.source_bayer_pattern = pattern
+                if cmd == "set_frame_type":
+                    frame_type = parse_frame_type(msg.get("value"))
+                    self.state.frame_type = frame_type
+                    self.state.update_payload_spec()
+                    self._mark_reconfigure_needed()
+                    return {
+                        "ok": True,
+                        "frame_type": self.state.frame_type,
+                        **self._payload_dict(),
+                    }
+
+                if cmd == "set_output_dtype":
+                    output_dtype = parse_output_dtype(msg.get("value"))
+                    self.state.output_dtype = output_dtype
+                    self.state.update_payload_spec()
+                    self._mark_reconfigure_needed()
+                    return {
+                        "ok": True,
+                        "output_dtype": self.state.output_dtype,
+                        **self._payload_dict(),
+                    }
+
+                if cmd == "set_capture_mode":
+                    capture_mode = parse_capture_mode(msg.get("value"))
+                    self.state.capture_mode = capture_mode
+                    self.state.update_payload_spec()
+                    self._mark_reconfigure_needed()
+                    return {
+                        "ok": True,
+                        "capture_mode": self.state.capture_mode,
+                        "detected_mode": self.state.detected_mode,
+                        **self._payload_dict(),
+                    }
+
+                if cmd == "set_camera_enabled":
+                    index = int(msg.get("index"))
+                    enabled = parse_bool(msg.get("enabled"))
+                    self.state.set_camera_enabled(index, enabled)
+                    self._mark_reconfigure_needed()
+
+                    cam = self.state.get_camera_by_index(index)
+                    return {
+                        "ok": True,
+                        "camera": cam.to_dict(),
+                        "camera_count_active": self.state.camera_count_active,
+                        "active_camera_ids": self.state.active_camera_ids,
+                        **self._payload_dict(),
+                    }
+
+                if cmd == "set_camera_bayer":
+                    index = int(msg.get("index"))
+                    pattern = parse_bayer_pattern(msg.get("pattern"))
+
+                    cam = self.state.get_camera_by_index(index)
+                    if cam is None:
+                        return {"ok": False, "error": f"Câmera de índice {index} não existe"}
+
+                    cam.bayer_pattern = pattern
+                    self.state.update_payload_spec()
+                    self._mark_reconfigure_needed()
 
                     return {
                         "ok": True,
-                        "bayer_pattern": self.state.source_bayer_pattern
+                        "camera": cam.to_dict(),
+                        **self._source_dict(),
                     }
 
-                if cmd == "set_resolution":
+                if cmd == "set_camera_resolution":
+                    index = int(msg.get("index"))
                     width = int(msg.get("width"))
                     height = int(msg.get("height"))
 
                     if width <= 0 or height <= 0:
                         return {"ok": False, "error": "resolução inválida"}
 
-                    self.state.width = width
-                    self.state.height = height
-                    self.state.update_output_spec()
+                    cam = self.state.get_camera_by_index(index)
+                    if cam is None:
+                        return {"ok": False, "error": f"Câmera de índice {index} não existe"}
+
+                    cam.width = width
+                    cam.height = height
+                    self.state.update_payload_spec()
                     self._mark_reconfigure_needed()
 
                     return {
                         "ok": True,
-                        "width": self.state.width,
-                        "height": self.state.height,
-                        "output_width": self.state.output_width,
-                        "output_height": self.state.output_height,
-                        "frame_type": self.state.frame_type,
-                        "output_layout": self.state.output_layout,
-                        "output_channels": self.state.output_channels,
-                        "output_channel_names": self.state.output_channel_names,
+                        "camera": cam.to_dict(),
+                        **self._payload_dict(),
+                        **self._source_dict(),
                     }
 
                 if cmd == "start_stream":
@@ -238,10 +329,8 @@ class ModuleServer:
 
                     if not host:
                         return {"ok": False, "error": "host obrigatório"}
-
                     if port <= 0 or port > 65535:
                         return {"ok": False, "error": "porta inválida"}
-
                     if fps <= 0:
                         return {"ok": False, "error": "fps inválido"}
 
@@ -252,19 +341,8 @@ class ModuleServer:
                             "host": self.state.stream_host,
                             "port": self.state.stream_port,
                             "fps": self.state.stream_fps,
-
-                            "payload_format_version": self.state.payload_format_version,
-
-                            "frame_type": self.state.frame_type,
-                            "output_dtype": self.state.output_dtype,
-                            "output_layout": self.state.output_layout,
-                            "output_channels": self.state.output_channels,
-                            "output_channel_names": self.state.output_channel_names,
-                            "output_width": self.state.output_width,
-                            "output_height": self.state.output_height,
-
-                            "source_bayer_pattern": self.state.source_bayer_pattern,
-                            "source_bit_depth": self.state.source_bit_depth,
+                            **self._payload_dict(),
+                            **self._source_dict(),
                         }
 
                     self.stream_sender.start(host, port, fps)
@@ -280,19 +358,8 @@ class ModuleServer:
                         "host": host,
                         "port": port,
                         "fps": fps,
-
-                        "payload_format_version": self.state.payload_format_version,
-
-                        "frame_type": self.state.frame_type,
-                        "output_dtype": self.state.output_dtype,
-                        "output_layout": self.state.output_layout,
-                        "output_channels": self.state.output_channels,
-                        "output_channel_names": self.state.output_channel_names,
-                        "output_width": self.state.output_width,
-                        "output_height": self.state.output_height,
-
-                        "source_bayer_pattern": self.state.source_bayer_pattern,
-                        "source_bit_depth": self.state.source_bit_depth,
+                        **self._payload_dict(),
+                        **self._source_dict(),
                     }
 
                 if cmd == "stop_stream":
@@ -303,11 +370,7 @@ class ModuleServer:
                     self.state.stream_host = None
                     self.state.stream_port = None
                     self.state.stream_fps = None
-
-                    if self.state.initialized:
-                        self.state.status = "ready"
-                    else:
-                        self.state.status = "idle"
+                    self.state.status = "ready" if self.state.initialized else "idle"
 
                     return {
                         "ok": True,
@@ -317,18 +380,14 @@ class ModuleServer:
 
                 if cmd == "set_ae_enable":
                     self.state.ae_enable = parse_bool(msg.get("value"))
-
                     if self.camera.initialized:
                         self.camera.apply_controls()
-
                     return {"ok": True, "ae_enable": self.state.ae_enable}
 
                 if cmd == "set_awb_enable":
                     self.state.awb_enable = parse_bool(msg.get("value"))
-
                     if self.camera.initialized:
                         self.camera.apply_controls()
-
                     return {"ok": True, "awb_enable": self.state.awb_enable}
 
                 if cmd == "set_exposure_time":
@@ -339,10 +398,8 @@ class ModuleServer:
                             return {"ok": False, "error": "ExposureTime inválido"}
 
                     self.state.exposure_time_us = value
-
                     if self.camera.initialized:
                         self.camera.apply_controls()
-
                     return {"ok": True, "exposure_time_us": self.state.exposure_time_us}
 
                 if cmd == "set_analogue_gain":
@@ -353,10 +410,8 @@ class ModuleServer:
                             return {"ok": False, "error": "AnalogueGain inválido"}
 
                     self.state.analogue_gain = value
-
                     if self.camera.initialized:
                         self.camera.apply_controls()
-
                     return {"ok": True, "analogue_gain": self.state.analogue_gain}
 
                 if cmd == "set_colour_gains":
@@ -373,10 +428,8 @@ class ModuleServer:
                         return {"ok": False, "error": "ColourGains inválidos"}
 
                     self.state.colour_gains = [r_gain, b_gain]
-
                     if self.camera.initialized:
                         self.camera.apply_controls()
-
                     return {"ok": True, "colour_gains": self.state.colour_gains}
 
                 if cmd == "clear_exposure_time":
@@ -410,10 +463,7 @@ class ModuleServer:
 
                 if cmd == "get_sensor_modes":
                     modes = self.camera.get_sensor_modes()
-                    return {
-                        "ok": True,
-                        "sensor_modes": modes
-                    }
+                    return {"ok": True, "sensor_modes": modes}
 
                 return {"ok": False, "error": f"Comando desconhecido: {cmd}"}
 
@@ -423,7 +473,6 @@ class ModuleServer:
 
     def client_thread(self, conn, addr):
         print(f"[INFO] Cliente conectado: {addr}")
-
         buffer = b""
 
         try:

Python/raspi/cam_2/pi/state.py

@@ -0,0 +1,374 @@
+from dataclasses import dataclass, field, asdict
+from typing import List, Optional, Dict, Any
+
+
+@dataclass
+class CameraSpec:
+    id: str
+    index: int
+    role: str = "generic"              # rgb | nir | re | generic
+    connected: bool = False
+    enabled: bool = True
+    available: bool = False            # detectada e pronta para uso
+
+    width: int = 640
+    height: int = 480
+    bayer_pattern: str = "GBRG"
+    bit_depth: int = 10
+
+    model: Optional[str] = None
+    serial: Optional[str] = None
+
+    def to_dict(self) -> Dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass
+class PayloadSpec:
+    frame_type: str = "RAW_BRUTO"      # RAW_BRUTO | RGB | RGBNIR
+    dtype: str = "uint8"               # uint8 | uint16 | float32
+    layout: str = "HW"                 # HW | CHW
+    channels: int = 1
+    channel_names: List[str] = field(default_factory=lambda: ["BAYER"])
+    width: int = 640
+    height: int = 480
+    sources: List[str] = field(default_factory=lambda: ["cam0"])
+
+    def to_dict(self) -> Dict[str, Any]:
+        return asdict(self)
+
+
+class ModuleState:
+    def __init__(self):
+        self.module_name = "multispectral"
+        self.version = "0.2.0"
+        self.payload_format_version = 2
+
+        self.status = "idle"
+        self.status_detail = None
+        self.last_error = None
+        self.last_command = None
+
+        self.initialized = False
+        self.streaming = False
+
+        # Estratégia do módulo
+        self.capture_mode = "AUTO"      # AUTO | SINGLE | DUAL
+        self.detected_mode = "NONE"     # NONE | SINGLE | DUAL
+        self.multi_camera_enabled = True
+        self.max_cameras = 2
+
+        # Configuração global base
+        self.fps = 10
+        self.jpeg_quality = 90
+
+        # Frame desejado de saída
+        self.frame_type = "RAW_BRUTO"   # RAW_BRUTO | RGB | RGBNIR
+        self.output_dtype = "uint8"     # uint8 | uint16 | float32
+
+        # Lista de câmeras conhecidas pelo módulo
+        self.cameras: List[CameraSpec] = [
+            CameraSpec(id="cam0", index=0, role="rgb"),
+            CameraSpec(id="cam1", index=1, role="nir"),
+        ]
+
+        # Resumo dinâmico da topologia
+        self.camera_count_detected = 0
+        self.camera_count_active = 0
+        self.active_camera_ids: List[str] = []
+
+        # Spec do payload atual
+        self.payload = PayloadSpec()
+
+        # Trigger
+        self.trigger_enabled = True
+        self.trigger_pin = 18
+        self.trigger_active_high = True
+        self.trigger_pulse_ms = 5.0
+        self.trigger_settle_delay_ms = 0.0
+
+        # Streaming
+        self.stream_host = None
+        self.stream_port = None
+        self.stream_fps = None
+        self.stream_frame_id = 0
+
+        # Codec
+        self.codec_family = "none"
+        self.codec_name = "blosc"
+        self.codec_params = {
+            "cname": "zstd",
+            "clevel": 3,
+            "shuffle": "BITSHUFFLE",
+        }
+
+        # Controle da câmera
+        self.ae_enable = True
+        self.awb_enable = True
+        self.exposure_time_us = 15000
+        self.analogue_gain = 1.0
+        self.colour_gains = [1.0, 1.0]
+        self.frame_duration_limits = None
+
+        # Inicializa o payload conforme a configuração padrão
+        self.refresh_topology()
+        self.update_payload_spec()
+
+    # =========================================================
+    # Topologia / câmeras
+    # =========================================================
+
+    def get_camera(self, cam_id: str) -> Optional[CameraSpec]:
+        for cam in self.cameras:
+            if cam.id == cam_id:
+                return cam
+        return None
+
+    def get_camera_by_index(self, index: int) -> Optional[CameraSpec]:
+        for cam in self.cameras:
+            if cam.index == index:
+                return cam
+        return None
+
+    def set_camera_connected(
+        self,
+        index: int,
+        connected: bool,
+        *,
+        width: Optional[int] = None,
+        height: Optional[int] = None,
+        bayer_pattern: Optional[str] = None,
+        bit_depth: Optional[int] = None,
+        model: Optional[str] = None,
+        serial: Optional[str] = None,
+    ) -> None:
+        cam = self.get_camera_by_index(index)
+        if cam is None:
+            raise ValueError(f"Câmera de índice {index} não existe.")
+
+        cam.connected = connected
+        cam.available = connected and cam.enabled
+
+        if width is not None:
+            cam.width = width
+        if height is not None:
+            cam.height = height
+        if bayer_pattern is not None:
+            cam.bayer_pattern = bayer_pattern
+        if bit_depth is not None:
+            cam.bit_depth = bit_depth
+        if model is not None:
+            cam.model = model
+        if serial is not None:
+            cam.serial = serial
+
+        self.refresh_topology()
+        self.update_payload_spec()
+
+    def set_camera_enabled(self, index: int, enabled: bool) -> None:
+        cam = self.get_camera_by_index(index)
+        if cam is None:
+            raise ValueError(f"Câmera de índice {index} não existe.")
+
+        cam.enabled = enabled
+        cam.available = cam.connected and cam.enabled
+
+        self.refresh_topology()
+        self.update_payload_spec()
+
+    def refresh_topology(self) -> None:
+        detected = [cam for cam in self.cameras if cam.connected]
+        active = [cam for cam in self.cameras if cam.connected and cam.enabled]
+
+        self.camera_count_detected = len(detected)
+        self.camera_count_active = len(active)
+        self.active_camera_ids = [cam.id for cam in active]
+
+        if self.camera_count_active >= 2 and self.multi_camera_enabled:
+            self.detected_mode = "DUAL"
+        elif self.camera_count_active == 1:
+            self.detected_mode = "SINGLE"
+        else:
+            self.detected_mode = "NONE"
+
+    def resolve_capture_mode(self) -> str:
+        if self.capture_mode == "AUTO":
+            return self.detected_mode
+
+        if self.capture_mode == "DUAL":
+            if self.camera_count_active >= 2 and self.multi_camera_enabled:
+                return "DUAL"
+            if self.camera_count_active == 1:
+                return "SINGLE"
+            return "NONE"
+
+        if self.capture_mode == "SINGLE":
+            if self.camera_count_active >= 1:
+                return "SINGLE"
+            return "NONE"
+
+        return "NONE"
+
+    # =========================================================
+    # Payload
+    # =========================================================
+
+    def update_payload_spec(self) -> None:
+        resolved_mode = self.resolve_capture_mode()
+        active_cams = [cam for cam in self.cameras if cam.connected and cam.enabled]
+
+        if resolved_mode == "NONE" or not active_cams:
+            self.payload = PayloadSpec(
+                frame_type=self.frame_type,
+                dtype=self.output_dtype,
+                layout="HW",
+                channels=0,
+                channel_names=[],
+                width=0,
+                height=0,
+                sources=[],
+            )
+            return
+
+        # Para SINGLE usamos a primeira ativa
+        cam0 = active_cams[0]
+
+        if self.frame_type == "RAW_BRUTO":
+            if resolved_mode == "SINGLE":
+                self.payload = PayloadSpec(
+                    frame_type="RAW_BRUTO",
+                    dtype=self.output_dtype,
+                    layout="HW",
+                    channels=1,
+                    channel_names=["BAYER"],
+                    width=cam0.width,
+                    height=cam0.height,
+                    sources=[cam0.id],
+                )
+            elif resolved_mode == "DUAL":
+                # Aqui estamos dizendo que o payload contém duas origens brutas.
+                # O frame_service / stream_sender depois decide como empacotar isso.
+                self.payload = PayloadSpec(
+                    frame_type="RAW_BRUTO",
+                    dtype=self.output_dtype,
+                    layout="HW",
+                    channels=2,
+                    channel_names=["BAYER_CAM0", "BAYER_CAM1"],
+                    width=cam0.width,
+                    height=cam0.height,
+                    sources=[cam.id for cam in active_cams[:2]],
+                )
+
+        elif self.frame_type == "RGB":
+            self.payload = PayloadSpec(
+                frame_type="RGB",
+                dtype=self.output_dtype,
+                layout="CHW",
+                channels=3,
+                channel_names=["R", "G", "B"],
+                width=cam0.width // 2,
+                height=cam0.height // 2,
+                sources=[cam0.id],
+            )
+
+        elif self.frame_type == "RGBNIR":
+            if resolved_mode == "DUAL":
+                cam1 = active_cams[1]
+                self.payload = PayloadSpec(
+                    frame_type="RGBNIR",
+                    dtype=self.output_dtype,
+                    layout="CHW",
+                    channels=5,
+                    channel_names=["R", "G", "B", "NIR", "RE"],
+                    width=min(cam0.width, cam1.width) // 2,
+                    height=min(cam0.height, cam1.height) // 2,
+                    sources=[cam0.id, cam1.id],
+                )
+            else:
+                # Ainda não dá para formar RGBNIR real com uma câmera só.
+                self.payload = PayloadSpec(
+                    frame_type="RGBNIR",
+                    dtype=self.output_dtype,
+                    layout="CHW",
+                    channels=0,
+                    channel_names=[],
+                    width=0,
+                    height=0,
+                    sources=[],
+                )
+
+        else:
+            raise ValueError(f"frame_type inválido: {self.frame_type}")
+
+    # =========================================================
+    # Estado / erro
+    # =========================================================
+
+    def clear_error(self) -> None:
+        self.last_error = None
+        if self.status == "error":
+            self.status = "idle"
+            self.status_detail = None
+
+    def set_error(self, error: str) -> None:
+        self.last_error = str(error)
+        self.status = "error"
+        self.status_detail = str(error)
+
+    # =========================================================
+    # Serialização
+    # =========================================================
+
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            "module": self.module_name,
+            "version": self.version,
+
+            "status": self.status,
+            "status_detail": self.status_detail,
+            "last_error": self.last_error,
+            "last_command": self.last_command,
+
+            "initialized": self.initialized,
+            "streaming": self.streaming,
+
+            "capture_mode": self.capture_mode,
+            "detected_mode": self.detected_mode,
+            "multi_camera_enabled": self.multi_camera_enabled,
+            "max_cameras": self.max_cameras,
+
+            "camera_count_detected": self.camera_count_detected,
+            "camera_count_active": self.camera_count_active,
+            "active_camera_ids": self.active_camera_ids,
+            "cameras": [cam.to_dict() for cam in self.cameras],
+
+            "fps": self.fps,
+            "jpeg_quality": self.jpeg_quality,
+
+            "trigger_enabled": self.trigger_enabled,
+            "trigger_pin": self.trigger_pin,
+            "trigger_active_high": self.trigger_active_high,
+            "trigger_pulse_ms": self.trigger_pulse_ms,
+            "trigger_settle_delay_ms": self.trigger_settle_delay_ms,
+
+            "stream_host": self.stream_host,
+            "stream_port": self.stream_port,
+            "stream_fps": self.stream_fps,
+            "stream_frame_id": self.stream_frame_id,
+
+            "codec_family": self.codec_family,
+            "codec_name": self.codec_name,
+            "codec_params": self.codec_params,
+
+            "ae_enable": self.ae_enable,
+            "awb_enable": self.awb_enable,
+            "exposure_time_us": self.exposure_time_us,
+            "analogue_gain": self.analogue_gain,
+            "colour_gains": self.colour_gains,
+            "frame_duration_limits": self.frame_duration_limits,
+
+            "payload_format_version": self.payload_format_version,
+            "frame_type": self.frame_type,
+            "output_dtype": self.output_dtype,
+            "payload": self.payload.to_dict(),
+        }

Python/raspi/cam_2/pi/stream_sender.py

@@ -32,7 +32,7 @@ class StreamSender:
         self._frames_dropped = 0
         self._capture_errors = 0
         self._send_errors = 0
-        self._last_sent_camera_frame_id = 0
+        self._last_sent_capture_signature = None
 
     @property
     def is_running(self):
@@ -62,7 +62,7 @@ class StreamSender:
             self.state.stream_host = host
             self.state.stream_port = port
             self.state.stream_fps = fps
-            self._last_sent_camera_frame_id = 0
+            self._last_sent_capture_signature = None
 
             self._thread_capture = threading.Thread(
                 target=self._worker_capture,
@@ -200,14 +200,56 @@ class StreamSender:
         self._t_send_header = t2 - t1
         self._t_send_payload = t3 - t2
 
+    def _build_capture_signature(self, meta):
+        camera_frames = meta.get("camera_frames", {})
+        if not camera_frames:
+            return None
+
+        items = []
+        for cam_id in sorted(camera_frames.keys()):
+            items.append((cam_id, camera_frames[cam_id].get("camera_frame_id")))
+        return tuple(items)
+
+    def _serialize_frame_payload(self, frame, meta):
+        if not isinstance(frame, dict):
+            frame_bytes = frame.tobytes()
+            payload_meta = {
+                "multi_payload": False,
+                "payload_parts": [
+                    {
+                        "kind": "single_array",
+                        "size_raw": len(frame_bytes),
+                    }
+                ],
+            }
+            return frame_bytes, payload_meta
+
+        payload = bytearray()
+        payload_parts = []
+
+        for cam_id in meta.get("payload_sources", list(frame.keys())):
+            arr = frame[cam_id]
+            part_bytes = arr.tobytes()
+            payload.extend(len(part_bytes).to_bytes(4, "big"))
+            payload.extend(part_bytes)
+
+            payload_parts.append({
+                "camera_id": cam_id,
+                "size_raw": len(part_bytes),
+            })
+
+        payload_meta = {
+            "multi_payload": True,
+            "payload_parts": payload_parts,
+        }
+        return bytes(payload), payload_meta
+
     def _worker_capture(self, fps: float):
         frame_interval = 1.0 / fps if fps > 0 else 0.0
         next_deadline = time.perf_counter()
         last_frame_ts = None
 
         while not self._stop_event.is_set():
-            t_loop0 = time.perf_counter()
-
             try:
                 frame, meta = self.frame_service.capture_frame_raw()
             except Exception as e:
@@ -220,8 +262,8 @@ class StreamSender:
                 time.sleep(0.01)
                 continue
 
-            camera_frame_id = meta.get("camera_frame_id", 0)
-            if camera_frame_id == self._last_sent_camera_frame_id:
+            capture_signature = self._build_capture_signature(meta)
+            if capture_signature is not None and capture_signature == self._last_sent_capture_signature:
                 time.sleep(0.001)
                 continue
 
@@ -230,11 +272,11 @@ class StreamSender:
             last_frame_ts = t_frame_ready
 
             t_bytes0 = time.perf_counter()
-            frame_bytes = frame.tobytes()
+            raw_payload, payload_meta = self._serialize_frame_payload(frame, meta)
             t_bytes1 = time.perf_counter()
 
             t_comp0 = time.perf_counter()
-            comp_bytes = self._compress(frame_bytes)
+            comp_bytes = self._compress(raw_payload)
             t_comp1 = time.perf_counter()
 
             codec_name = None if self.state.codec_family == "none" else self.state.codec_name
@@ -246,11 +288,12 @@ class StreamSender:
                 "codec_name": codec_name,
                 "codec_params": codec_params,
                 "dt_frame_period": dt_frame_period,
-                "payload_size_raw": len(frame_bytes),
+                "payload_size_raw": len(raw_payload),
                 "payload_size_comp": len(comp_bytes),
                 "dt_bytes": t_bytes1 - t_bytes0,
                 "dt_comp": t_comp1 - t_comp0,
-                **meta
+                **payload_meta,
+                **meta,
             }
 
             queued = False
@@ -270,7 +313,7 @@ class StreamSender:
                     self._frames_dropped += 1
 
             if queued:
-                self._last_sent_camera_frame_id = camera_frame_id
+                self._last_sent_capture_signature = capture_signature
 
             if frame_interval > 0:
                 next_deadline += frame_interval

Python/raspi/cam_3/capture_dataset.py

@@ -0,0 +1,824 @@
+import os
+import time
+import json
+import argparse
+from datetime import datetime
+
+import cv2
+import numpy as np
+
+from multispectral_service import MultiSpectralService
+from stream_receiver import StreamReceiver
+from pi.raw_processor_core import RawProcessorCore
+from pi.raw_processor_preview import RawProcessorPreview
+
+
+STREAM_PORT = 6001
+PI_HOST = "192.168.105.6"
+PC_HOST = "192.168.105.5"
+
+
+# =========================
+# Helpers gerais
+# =========================
+
+def ts_name() -> str:
+    return datetime.now().strftime("%Y%m%d_%H%M%S_%f")[:-3]
+
+
+def overlay_hud(
+    img_bgr: np.ndarray,
+    lines: list[str],
+    base_h: int = 720,
+    base_font_scale: float = 0.75,
+    base_line_step: int = 28,
+):
+    h, w = img_bgr.shape[:2]
+
+    scale = h / float(base_h)
+    scale = max(scale, 0.4)
+
+    font_scale = base_font_scale * scale
+    line_step = int(base_line_step * scale)
+
+    thick_outline = max(1, int(3 * scale))
+    thick_text = max(1, int(2 * scale))
+
+    y = int(24 * scale)
+    x = int(12 * scale)
+
+    for s in lines:
+        cv2.putText(img_bgr, s, (x, y), cv2.FONT_HERSHEY_SIMPLEX, font_scale, (0, 0, 0), thick_outline, cv2.LINE_AA)
+        cv2.putText(img_bgr, s, (x, y), cv2.FONT_HERSHEY_SIMPLEX, font_scale, (255, 255, 255), thick_text, cv2.LINE_AA)
+        y += line_step
+
+
+def save_sample(
+    base_dir: str,
+    frame_type: str,
+    preview_bgr: np.ndarray,
+    meta: dict,
+    raw_payload: np.ndarray | None = None,
+    packed_raw: np.ndarray | None = None,
+    packed_raw_by_camera: dict | None = None,
+):
+    os.makedirs(base_dir, exist_ok=True)
+    name = ts_name()
+
+    png_path = os.path.join(base_dir, f"{name}.png")
+    json_path = os.path.join(base_dir, f"{name}.json")
+
+    if frame_type in ("RGB", "MULTISPEC"):
+        if raw_payload is None:
+            raise ValueError(f"raw_payload não pode ser None quando frame_type='{frame_type}'")
+
+        payload_path = os.path.join(base_dir, f"{name}.raw")
+        raw_payload.astype(np.float32).tofile(payload_path)
+
+        meta["saved_payload_type"] = frame_type.lower()
+        meta["saved_payload_path"] = os.path.basename(payload_path)
+        meta["saved_payload_dtype"] = "float32"
+        meta["saved_payload_shape"] = list(raw_payload.shape)
+
+    elif frame_type == "RAW_BRUTO":
+        if packed_raw_by_camera is not None:
+            payload_files = {}
+            payload_shapes = {}
+            payload_dtypes = {}
+
+            for cam_id, arr in packed_raw_by_camera.items():
+                path = os.path.join(base_dir, f"{name}_{cam_id}.bin")
+                arr.tofile(path)
+                payload_files[cam_id] = os.path.basename(path)
+                payload_shapes[cam_id] = list(arr.shape)
+                payload_dtypes[cam_id] = str(arr.dtype)
+
+            meta["saved_payload_type"] = "raw_native_multi"
+            meta["saved_payload_paths"] = payload_files
+            meta["saved_payload_shapes"] = payload_shapes
+            meta["saved_payload_dtypes"] = payload_dtypes
+
+        else:
+            if packed_raw is None:
+                raise ValueError("packed_raw não pode ser None quando frame_type='RAW_BRUTO'")
+
+            payload_path = os.path.join(base_dir, f"{name}.bin")
+            packed_raw.tofile(payload_path)
+
+            meta["saved_payload_type"] = "raw_native_single"
+            meta["saved_payload_path"] = os.path.basename(payload_path)
+            meta["saved_payload_dtype"] = str(packed_raw.dtype)
+            meta["saved_payload_shape"] = list(packed_raw.shape)
+
+    else:
+        raise ValueError(f"frame_type não suportado para save: {frame_type}")
+
+    cv2.imwrite(png_path, preview_bgr)
+
+    with open(json_path, "w", encoding="utf-8") as f:
+        json.dump(meta, f, ensure_ascii=False, indent=2)
+
+    return png_path, json_path
+
+
+def get_camera_map_from_status(status: dict) -> dict:
+    result = {}
+    for cam in status.get("cameras", []):
+        result[cam.get("id")] = cam
+    return result
+
+
+def validate_module_ready(status: dict, frame_type: str, raw_policy: str, capture_mode: str):
+    if not status.get("ok", True):
+        raise RuntimeError(f"Status inválido retornado pelo módulo: {status}")
+
+    active_ids = list(status.get("active_camera_ids", []))
+    active_count = int(status.get("camera_count_active", 0))
+
+    if frame_type == "RGB":
+        if "cam2" not in active_ids:
+            raise RuntimeError(
+                "Modo RGB requer cam2 ativa (USB RGB), mas o módulo não reportou cam2 como ativa."
+            )
+        return
+
+    if frame_type == "MULTISPEC":
+        if capture_mode == "TRIPLE":
+            missing = [cid for cid in ("cam0", "cam1", "cam2") if cid not in active_ids]
+            if missing:
+                raise RuntimeError(
+                    f"Modo MULTISPEC/TRIPLE requer cam0, cam1 e cam2 ativas. "
+                    f"Faltando: {missing}. Ativas atuais: {active_ids}"
+                )
+            return
+
+        if capture_mode == "DOUBLE":
+            has_rgb = "cam2" in active_ids
+            has_spec = ("cam0" in active_ids) or ("cam1" in active_ids)
+
+            if not has_rgb or not has_spec:
+                raise RuntimeError(
+                    f"Modo MULTISPEC/DOUBLE requer cam2 + (cam0 ou cam1). "
+                    f"Ativas atuais: {active_ids}"
+                )
+            return
+
+        # AUTO ou outros casos
+        has_rgb = "cam2" in active_ids
+        has_spec = ("cam0" in active_ids) or ("cam1" in active_ids)
+
+        if not (has_rgb and has_spec):
+            raise RuntimeError(
+                f"Modo MULTISPEC requer pelo menos RGB + 1 canal espectral. "
+                f"Ativas atuais: {active_ids}"
+            )
+        return
+
+    if frame_type == "RAW_BRUTO":
+        if raw_policy == "require_triple":
+            missing = [cid for cid in ("cam0", "cam1", "cam2") if cid not in active_ids]
+            if missing:
+                raise RuntimeError(
+                    f"RAW_BRUTO com política require_triple exige três câmeras ativas. "
+                    f"Faltando: {missing}. Ativas atuais: {active_ids}"
+                )
+        else:
+            if active_count < 1:
+                raise RuntimeError("RAW_BRUTO requer ao menos uma câmera ativa, mas nenhuma foi detectada.")
+        return
+
+    raise RuntimeError(f"frame_type desconhecido para validação: {frame_type}")
+
+
+def build_preview_from_raw_payload(
+    frame,
+    meta: dict,
+    processor_core: RawProcessorCore,
+    processor_preview: RawProcessorPreview,
+):
+    """
+    Gera preview priorizando a câmera RGB (cam2).
+    Se cam2 não estiver presente, cai para fallback usando a primeira câmera mono disponível.
+    Retorna:
+        preview_bgr
+        payload_float_preview
+        preview_source_id
+    """
+    payload_sources = meta.get("payload_sources", []) or []
+
+    # Caso multi-payload: tenta usar cam2 primeiro
+    if isinstance(frame, dict):
+        if "cam2" in frame:
+            rgb_frame = frame["cam2"]
+
+            if rgb_frame.ndim != 3 or rgb_frame.shape[2] != 3:
+                raise RuntimeError(f"cam2 recebida mas inválida para preview RGB: shape={rgb_frame.shape}")
+
+            preview_bgr = rgb_frame.copy()
+            payload_float = rgb_frame[:, :, ::-1].astype(np.float32) / 255.0
+            payload_float = np.transpose(payload_float, (2, 0, 1))
+
+            return preview_bgr, payload_float, "cam2"
+
+        # fallback: usa a primeira câmera mono disponível
+        fallback_id = None
+        for cid in ("cam0", "cam1"):
+            if cid in frame:
+                fallback_id = cid
+                break
+
+        if fallback_id is None:
+            raise RuntimeError("Nenhuma câmera disponível no payload para gerar preview")
+
+        packed = frame[fallback_id]
+        if packed.ndim == 3 and packed.shape[2] == 1:
+            packed = packed[:, :, 0]
+
+        cam_frames = meta.get("camera_frames", {}) or {}
+        cam_meta = cam_frames.get(fallback_id, {})
+        bit_depth = int(cam_meta.get("bit_depth", 10))
+
+        raw16 = processor_core.unpack_raw10_packed(packed)
+        preview_bgr = processor_preview.raw16_to_preview_bgr(raw16, bit_depth=bit_depth)
+
+        payload_float = processor_core.build_training_rgb(
+            raw16,
+            output_dtype="float32",
+            bit_depth=bit_depth,
+        )
+
+        return preview_bgr, payload_float, fallback_id
+
+    # Caso single-payload
+    if isinstance(frame, np.ndarray):
+        # Se vier HWC/3ch, tratamos como RGB USB
+        if frame.ndim == 3 and frame.shape[2] == 3:
+            preview_bgr = frame.copy()
+            payload_float = frame[:, :, ::-1].astype(np.float32) / 255.0
+            payload_float = np.transpose(payload_float, (2, 0, 1))
+            return preview_bgr, payload_float, "cam2"
+
+        # Se vier mono packed, fallback antigo
+        packed = frame
+        if packed.ndim == 3 and packed.shape[2] == 1:
+            packed = packed[:, :, 0]
+
+        source_camera = meta.get("source_camera") or {}
+        bit_depth = int(source_camera.get("bit_depth", meta.get("source_bit_depth", 10)))
+
+        raw16 = processor_core.unpack_raw10_packed(packed)
+        preview_bgr = processor_preview.raw16_to_preview_bgr(raw16, bit_depth=bit_depth)
+
+        payload_float = processor_core.build_training_rgb(
+            raw16,
+            output_dtype="float32",
+            bit_depth=bit_depth,
+        )
+
+        return preview_bgr, payload_float, source_camera.get("id", "unknown")
+
+    raise RuntimeError(f"Tipo de frame não suportado para preview: {type(frame)}")
+
+
+def resolve_effective_capture_mode(frame_type: str, raw_policy: str, requested_mode: str) -> str:
+    """
+    Decide o modo real que será pedido ao módulo.
+
+    Nova regra:
+    - Se o usuário pediu explicitamente SINGLE/DOUBLE/TRIPLE, respeitamos.
+    - Se pediu AUTO, deixamos AUTO ir para o módulo.
+    - A única exceção opcional é MULTISPEC + require_triple implícito,
+      mas mesmo assim podemos deixar o módulo resolver se preferirmos.
+    """
+    if requested_mode in ("SINGLE", "DOUBLE", "TRIPLE"):
+        return requested_mode
+
+    # requested_mode == AUTO
+    return "AUTO"
+
+# =========================
+# MAIN
+# =========================
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Captura de dataset usando módulo multispectral Pi + StreamReceiver.",
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+    )
+
+    parser.add_argument("--cana", required=True, choices=["baixa", "media", "alta"], help="Estado da cana no momento da coleta.")
+    parser.add_argument("--horario", required=True, choices=["cedo", "meio_dia", "entardecer", "nublado"], help="Janela de iluminação / horário da coleta.")
+    parser.add_argument("--out_root", default="dataset", help="Pasta raiz do dataset.")
+    parser.add_argument("--modelo", default="imx296_pi", help="Nome do módulo/câmera para montar a pasta.")
+    parser.add_argument("--pi_host", default=PI_HOST, help="IP do servidor no Raspberry Pi.")
+    parser.add_argument("--pc_host", default=PC_HOST, help="IP local do notebook/PC que receberá o stream.")
+    parser.add_argument("--stream_port", type=int, default=STREAM_PORT, help="Porta TCP do receiver de stream.")
+    parser.add_argument("--server_port", type=int, default=5000, help="Porta TCP do servidor de comandos no Pi.")
+    parser.add_argument("--fps", type=int, default=20, help="FPS desejado.")
+    parser.add_argument("--width", type=int, default=640, help="Largura óptica da câmera.")
+    parser.add_argument("--height", type=int, default=480, help="Altura óptica da câmera.")
+    parser.add_argument("--interval", type=float, default=1.0, help="Intervalo em segundos para auto-save quando ligado.")
+    parser.add_argument("--preview_upscale", type=int, default=2, help="Fator de upscale visual do preview.")
+    parser.add_argument("--bayer", default="GBRG", choices=["GBRG", "GRBG", "RGGB", "BGGR"], help="Padrão Bayer das câmeras.")
+    parser.add_argument("--output_dtype", default="float32", choices=["uint8", "uint16", "float32"], help="Dtype do payload processado no Pi.")
+    parser.add_argument("--frame_type", default="RAW_BRUTO", choices=["RAW_BRUTO", "RGB", "MULTISPEC"], help="Tipo de payload pedido ao Pi.")
+    parser.add_argument("--capture_mode", default="AUTO", choices=["AUTO", "SINGLE", "DOUBLE", "TRIPLE"], help="Modo de captura desejado no módulo.")
+    parser.add_argument("--raw_policy", default="allow_single", choices=["allow_single", "require_triple"], help="Quando frame_type=RAW_BRUTO, define se o script aceita 1 câmera ou exige 3.")
+
+    args = parser.parse_args()
+
+    effective_capture_mode = resolve_effective_capture_mode(
+        frame_type=args.frame_type,
+        raw_policy=args.raw_policy,
+        requested_mode=args.capture_mode,
+    )
+
+    raw_w = args.width
+    raw_h = args.height
+
+    session_dir = os.path.join(
+        args.modelo,
+        args.out_root,
+        "brutas",
+        f"cana_{args.cana}",
+        args.horario,
+        datetime.now().strftime("%Y%m%d"),
+    )
+    os.makedirs(session_dir, exist_ok=True)
+
+    print("============================================")
+    print("Coleta de dataset - Módulo Multiespectral")
+    print(f"Cana         : {args.cana}")
+    print(f"Horário      : {args.horario}")
+    print(f"Saída        : {session_dir}")
+    print(f"Sensor       : {raw_w}x{raw_h} | Bayer={args.bayer}")
+    print(f"FrameType    : {args.frame_type}")
+    print(f"CaptureMode  : {args.capture_mode} -> efetivo={effective_capture_mode}")
+    print(f"RAW policy   : {args.raw_policy}")
+    print("============================================")
+
+    auto_save = False
+    last_auto_t = 0.0
+    preview_upscale = args.preview_upscale
+
+    t_view_fps = time.time()
+    view_frames = 0
+    fps_view = 0.0
+
+    t_stream_fps = time.time()
+    last_stream_frame_id = None
+    stream_frames_accum = 0
+    fps_stream = 0.0
+
+    last_msg = ""
+    last_msg_t = 0.0
+
+    receiver = StreamReceiver(host="0.0.0.0", port=args.stream_port)
+    svc = MultiSpectralService(host=args.pi_host, port=args.server_port, timeout=10)
+
+    print(f"[INFO] Verificando conexão com o módulo em {args.pi_host}:{args.server_port}...")
+
+    svc.ensure_alive()
+
+    if not svc.is_alive():
+        raise RuntimeError("Módulo não encontrado ou não respondeu ao ping.")
+
+    print("[OK] Módulo conectado e respondendo.")
+
+    window_name = "Dataset Capture (C/SPACE=save | A=auto-save | M=preview scale | Q=quit)"
+    cv2.namedWindow(window_name, cv2.WINDOW_NORMAL)
+
+    processor_core_cam0 = RawProcessorCore(
+        sensor_width=raw_w,
+        sensor_height=raw_h,
+        bayer_pattern=args.bayer,
+    )
+    processor_preview_cam0 = RawProcessorPreview(
+        sensor_width=raw_w,
+        sensor_height=raw_h,
+        bayer_pattern=args.bayer,
+    )
+
+    last_frame_id = -1
+    last_payload_float = None
+    last_packed_raw = None
+    last_packed_raw_by_camera = None
+    last_preview_bgr = None
+    last_meta_stream = None
+
+    try:
+        receiver.start()
+        time.sleep(0.5)
+
+        svc.connect()
+
+        if args.frame_type in ("RAW_BRUTO", "MULTISPEC"):
+            modes_resp = svc.get_sensor_modes()
+            if not modes_resp.get("ok"):
+                print(f"[WARN] Falha ao obter sensor_modes: {modes_resp}")
+            else:
+                for mode in modes_resp.get("sensor_modes", []):
+                    print(
+                        f"[cam={mode.get('camera_id')} mode={mode.get('mode_index')}] "
+                        f"size={mode.get('size')} "
+                        f"format={mode.get('format')} "
+                        f"bit_depth={mode.get('bit_depth')} "
+                        f"fps={mode.get('fps')}"
+                    )
+        else:
+            print("[INFO] get_sensor_modes pulado para frame_type=RGB")
+
+        print("SET CAM0 RES:", svc.set_camera_resolution(0, raw_w, raw_h))
+        print("SET CAM1 RES:", svc.set_camera_resolution(1, raw_w, raw_h))
+        print("SET CAM2 RES:", svc.set_camera_resolution(2, raw_w, raw_h))
+        print("SET CAM0 BAYER:", svc.set_camera_bayer(0, args.bayer))
+        print("SET CAM1 BAYER:", svc.set_camera_bayer(1, args.bayer))
+        print("SET FPS:", svc.set_fps(args.fps))
+        print("SET CAPTURE MODE:", svc.set_capture_mode(effective_capture_mode))
+        print("SET FRAME TYPE:", svc.set_frame_type(args.frame_type))
+        print("SET OUTPUT DTYPE:", svc.set_output_dtype(args.output_dtype))
+
+        begin_resp = svc.begin(
+            frame_type=args.frame_type,
+            output_dtype=args.output_dtype,
+            capture_mode=effective_capture_mode,
+        )
+        print("BEGIN:", begin_resp)
+
+        status = svc.get_status()
+        print("STATUS:", json.dumps({
+            "status": status.get("status"),
+            "detected_mode": status.get("detected_mode"),
+            "camera_count_active": status.get("camera_count_active"),
+            "active_camera_ids": status.get("active_camera_ids"),
+        }, ensure_ascii=False))
+
+        validate_module_ready(status, args.frame_type, args.raw_policy, effective_capture_mode)
+
+        print("START STREAM:", svc.start_stream(args.pc_host, args.stream_port, fps=args.fps))
+
+        camera_ctrl = svc.get_camera_controls()
+
+        ae_enabled = bool(camera_ctrl.get("ae_enable", True))
+        awb_enabled = bool(camera_ctrl.get("awb_enable", True))
+        manual_exposure_us = camera_ctrl.get("exposure_time_us", None)
+        manual_gain = camera_ctrl.get("analogue_gain", None)
+        manual_colour_gains = camera_ctrl.get("colour_gains", None)
+
+        while True:
+            t0 = time.time()
+
+            meta = receiver.last_meta
+            frame = receiver.last_frame
+
+            if meta is not None and frame is not None and meta.get("frame_id") != last_frame_id:
+                last_frame_id = meta["frame_id"]
+
+                try:
+                    frame_type = meta.get("frame_type", "RAW_BRUTO")
+                    dtype_str = meta.get("dtype") or meta.get("output_dtype", "uint8")
+                    preview_source_id = "cam2"
+
+                    if frame_type == "RAW_BRUTO":
+                        if isinstance(frame, dict):
+                            packed_by_camera = frame
+
+                            preview_bgr, raw3_preview, preview_source_id = build_preview_from_raw_payload(
+                                frame=frame,
+                                meta=meta,
+                                processor_core=processor_core_cam0,
+                                processor_preview=processor_preview_cam0,
+                            )
+
+                            last_packed_raw = None
+                            last_packed_raw_by_camera = {cam_id: arr.copy() for cam_id, arr in packed_by_camera.items()}
+                            last_payload_float = raw3_preview.copy()
+
+                        else:
+                            preview_bgr, raw3_preview, preview_source_id = build_preview_from_raw_payload(
+                                frame=frame,
+                                meta=meta,
+                                processor_core=processor_core_cam0,
+                                processor_preview=processor_preview_cam0,
+                            )
+
+                            last_packed_raw = frame.copy()
+                            last_packed_raw_by_camera = None
+                            last_payload_float = raw3_preview.copy()
+                    
+                    elif frame_type == "RGB":
+                        rgb_chw = frame
+                        if not isinstance(rgb_chw, np.ndarray) or rgb_chw.ndim != 3:
+                            raise RuntimeError(f"Frame RGB inválido: type={type(rgb_chw)}")
+
+                        if dtype_str == "uint8":
+                            payload_float = rgb_chw.astype(np.float32) / 255.0
+                        elif dtype_str == "float32":
+                            payload_float = rgb_chw.astype(np.float32)
+                        elif dtype_str == "uint16":
+                            payload_float = rgb_chw.astype(np.float32) / 65535.0
+                        else:
+                            raise RuntimeError(f"dtype RGB não suportado: {dtype_str}")
+
+                        preview_rgb = np.transpose(payload_float, (1, 2, 0))
+                        preview_bgr = cv2.cvtColor(
+                            np.clip(preview_rgb * 255.0, 0, 255).astype(np.uint8),
+                            cv2.COLOR_RGB2BGR
+                        )
+
+                        last_payload_float = payload_float.copy()
+                        last_packed_raw = None
+                        last_packed_raw_by_camera = None
+
+                    elif frame_type == "MULTISPEC":
+                        multispec_chw = frame
+                        if not isinstance(multispec_chw, np.ndarray) or multispec_chw.ndim != 3 or multispec_chw.shape[0] not in (4, 5):
+                            raise RuntimeError(f"Frame MULTISPEC inválido: shape={getattr(multispec_chw, 'shape', None)}")
+
+                        if dtype_str == "uint8":
+                            payload_float = multispec_chw.astype(np.float32) / 255.0
+                        elif dtype_str == "float32":
+                            payload_float = multispec_chw.astype(np.float32)
+                        elif dtype_str == "uint16":
+                            payload_float = multispec_chw.astype(np.float32) / 65535.0
+                        else:
+                            raise RuntimeError(f"dtype MULTISPEC não suportado: {dtype_str}")
+
+                        preview_rgb = np.transpose(payload_float[:3], (1, 2, 0))
+                        preview_bgr = cv2.cvtColor(
+                            np.clip(preview_rgb * 255.0, 0, 255).astype(np.uint8),
+                            cv2.COLOR_RGB2BGR
+                        )
+
+                        last_payload_float = payload_float.copy()
+                        last_packed_raw = None
+                        last_packed_raw_by_camera = None
+
+                    else:
+                        raise RuntimeError(f"frame_type não suportado neste script: {frame_type}")
+
+                    if preview_upscale and preview_upscale > 1:
+                        preview_show = cv2.resize(
+                            preview_bgr,
+                            (preview_bgr.shape[1] * preview_upscale, preview_bgr.shape[0] * preview_upscale),
+                            interpolation=cv2.INTER_NEAREST,
+                        )
+                    else:
+                        preview_show = preview_bgr.copy()
+
+                    curr_frame_id = meta.get("frame_id")
+
+                    if curr_frame_id is not None:
+                        if last_stream_frame_id != curr_frame_id:
+                            stream_frames_accum += 1
+
+                    last_stream_frame_id = curr_frame_id
+
+                    dt_stream = time.time() - t_stream_fps
+                    if dt_stream >= 1.0:
+                        fps_stream = stream_frames_accum / dt_stream
+                        stream_frames_accum = 0
+                        t_stream_fps = time.time()
+
+                    view_frames += 1
+                    dt_view = time.time() - t_view_fps
+                    if dt_view >= 1.0:
+                        fps_view = view_frames / dt_view
+                        view_frames = 0
+                        t_view_fps = time.time()
+
+                    active_sources = meta.get("payload_sources")
+                    lines = [
+                        f"CANA: {args.cana} | HORA: {args.horario} | Pasta: {os.path.basename(session_dir)}",
+                        f"Type={meta.get('frame_type')} | CaptureMode={effective_capture_mode} | RAW policy={args.raw_policy}",
+                        f"Sources={active_sources} | FPS_STREAM={fps_stream:.1f} | FPS_VIEW={fps_view:.1f}",
+                        f"frame_id={meta.get('frame_id')} | layout={meta.get('output_layout')} | dtype={meta.get('dtype') or meta.get('output_dtype')}",
+                        f"codec={meta.get('codec_name', meta.get('codec_family', '-'))} | comp={meta.get('dt_comp', 0):.4f}s | send={meta.get('dt_send_payload_prev', 0):.4f}s",
+                        f"AE={'ON' if ae_enabled else 'OFF'} | AWB={'ON' if awb_enabled else 'OFF'} | EXP={manual_exposure_us} | GAIN={manual_gain}",
+                        "Keys: C/SPACE=save | A=auto-save | E=AE | W=AWB | I/K=exp | O/L=gain | R=reset | M=preview | Q/Esc=quit",
+                    ]
+                    overlay_hud(preview_show, lines, base_h=raw_h)
+
+                    if last_msg and (time.time() - last_msg_t) < 2.0:
+                        cv2.putText(preview_show, last_msg, (12, preview_show.shape[0] - 18),
+                                    cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 0), 2, cv2.LINE_AA)
+
+                    cv2.imshow(window_name, preview_show)
+
+                    last_preview_bgr = preview_bgr.copy()
+                    last_meta_stream = dict(meta)
+
+                except Exception as e:
+                    err = np.zeros((500, 1200, 3), dtype=np.uint8)
+                    cv2.putText(err, f"Erro ao processar frame: {e}", (20, 60),
+                                cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 2, cv2.LINE_AA)
+                    cv2.imshow(window_name, err)
+                    print(f"[ERRO FRAME] {e}")
+
+            now = time.time()
+            can_save = (
+                last_meta_stream is not None and
+                last_preview_bgr is not None and
+                (
+                    (last_meta_stream.get("frame_type") in ("RGB", "MULTISPEC") and last_payload_float is not None) or
+                    (last_meta_stream.get("frame_type") == "RAW_BRUTO" and (last_packed_raw is not None or last_packed_raw_by_camera is not None))
+                )
+            )
+
+            if auto_save and can_save and (now - last_auto_t) >= args.interval:
+                frame_type_save = last_meta_stream.get("frame_type")
+
+                meta_save = {
+                    "ts": datetime.now().isoformat(timespec="milliseconds"),
+                    "cana": args.cana,
+                    "horario": args.horario,
+                    "sensor_width": raw_w,
+                    "sensor_height": raw_h,
+                    "bayer_pattern": args.bayer,
+                    "fps_target": args.fps,
+                    "frame_type": frame_type_save,
+                    "capture_mode_requested": args.capture_mode,
+                    "capture_mode_effective": effective_capture_mode,
+                    "raw_policy": args.raw_policy,
+                    "stream_meta": last_meta_stream,
+                    "note": "autosave",
+                    "raw_preview_reference_camera": preview_source_id,
+                }
+
+                save_sample(
+                    session_dir,
+                    frame_type=frame_type_save,
+                    preview_bgr=last_preview_bgr,
+                    meta=meta_save,
+                    raw_payload=last_payload_float,
+                    packed_raw=last_packed_raw,
+                    packed_raw_by_camera=last_packed_raw_by_camera,
+                )
+
+                last_msg = "SALVO (auto)"
+                last_msg_t = now
+                last_auto_t = now
+
+            k = cv2.waitKey(1) & 0xFF
+            if k in (ord("q"), ord("Q"), 27):
+                break
+
+            elif k in (ord("a"), ord("A")):
+                auto_save = not auto_save
+                last_msg = f"AutoSave -> {'ON' if auto_save else 'OFF'}"
+                last_msg_t = time.time()
+
+            elif k in (ord("m"), ord("M")):
+                preview_upscale = 0 if preview_upscale else args.preview_upscale
+                last_msg = f"Preview UPSCALE -> {preview_upscale}"
+                last_msg_t = time.time()
+
+            elif k in (ord("e"), ord("E")):
+                ae_enabled = not ae_enabled
+                resp = svc.set_ae_enable(ae_enabled)
+                ae_enabled = bool(resp.get("ae_enable", ae_enabled))
+                last_msg = f"AE -> {'ON' if ae_enabled else 'OFF'}"
+                last_msg_t = time.time()
+
+            elif k in (ord("w"), ord("W")):
+                awb_enabled = not awb_enabled
+                resp = svc.set_awb_enable(awb_enabled)
+                awb_enabled = bool(resp.get("awb_enable", awb_enabled))
+                last_msg = f"AWB -> {'ON' if awb_enabled else 'OFF'}"
+                last_msg_t = time.time()
+
+            elif k in (ord("i"), ord("I")):
+                if manual_exposure_us is None:
+                    manual_exposure_us = 15000
+                else:
+                    manual_exposure_us = min(int(manual_exposure_us * 1.15), 200000)
+
+                if ae_enabled:
+                    ae_enabled = False
+                    svc.set_ae_enable(False)
+
+                resp = svc.set_exposure_time(int(manual_exposure_us))
+                manual_exposure_us = resp.get("exposure_time_us", manual_exposure_us)
+                last_msg = f"ExposureTime -> {manual_exposure_us} us"
+                last_msg_t = time.time()
+
+            elif k in (ord("k"), ord("K")):
+                if manual_exposure_us is None:
+                    manual_exposure_us = 15000
+                else:
+                    manual_exposure_us = max(int(manual_exposure_us / 1.15), 100)
+
+                if ae_enabled:
+                    ae_enabled = False
+                    svc.set_ae_enable(False)
+
+                resp = svc.set_exposure_time(int(manual_exposure_us))
+                manual_exposure_us = resp.get("exposure_time_us", manual_exposure_us)
+                last_msg = f"ExposureTime -> {manual_exposure_us} us"
+                last_msg_t = time.time()
+
+            elif k in (ord("o"), ord("O")):
+                if manual_gain is None:
+                    manual_gain = 1.0
+                else:
+                    manual_gain = min(float(manual_gain) * 1.10, 32.0)
+
+                if ae_enabled:
+                    ae_enabled = False
+                    svc.set_ae_enable(False)
+
+                resp = svc.set_analogue_gain(float(manual_gain))
+                manual_gain = resp.get("analogue_gain", manual_gain)
+                last_msg = f"AnalogueGain -> {manual_gain:.2f}"
+                last_msg_t = time.time()
+
+            elif k in (ord("l"), ord("L")):
+                if manual_gain is None:
+                    manual_gain = 1.0
+                else:
+                    manual_gain = max(float(manual_gain) / 1.10, 1.0)
+
+                if ae_enabled:
+                    ae_enabled = False
+                    svc.set_ae_enable(False)
+
+                resp = svc.set_analogue_gain(float(manual_gain))
+                manual_gain = resp.get("analogue_gain", manual_gain)
+                last_msg = f"AnalogueGain -> {manual_gain:.2f}"
+                last_msg_t = time.time()
+
+            elif k in (ord("r"), ord("R")):
+                svc.clear_exposure_time()
+                svc.clear_analogue_gain()
+                svc.clear_colour_gains()
+
+                manual_exposure_us = None
+                manual_gain = None
+                manual_colour_gains = None
+
+                last_msg = "Manual controls resetados"
+                last_msg_t = time.time()
+
+            elif k in (ord("c"), ord("C"), 32):
+                if can_save:
+                    frame_type_save = last_meta_stream.get("frame_type")
+                    meta_save = {
+                        "ts": datetime.now().isoformat(timespec="milliseconds"),
+                        "cana": args.cana,
+                        "horario": args.horario,
+                        "sensor_width": raw_w,
+                        "sensor_height": raw_h,
+                        "bayer_pattern": args.bayer,
+                        "fps_target": args.fps,
+                        "frame_type": frame_type_save,
+                        "capture_mode_requested": args.capture_mode,
+                        "capture_mode_effective": effective_capture_mode,
+                        "raw_policy": args.raw_policy,
+                        "stream_meta": last_meta_stream,
+                        "camera_controls": {
+                            "ae_enable": ae_enabled,
+                            "awb_enable": awb_enabled,
+                            "exposure_time_us": manual_exposure_us,
+                            "analogue_gain": manual_gain,
+                            "colour_gains": manual_colour_gains,
+                        },
+                        "note": "manual",
+                        "raw_preview_reference_camera": preview_source_id,
+                    }
+
+                    save_sample(
+                        session_dir,
+                        frame_type=frame_type_save,
+                        preview_bgr=last_preview_bgr,
+                        meta=meta_save,
+                        raw_payload=last_payload_float,
+                        packed_raw=last_packed_raw,
+                        packed_raw_by_camera=last_packed_raw_by_camera,
+                    )
+
+                    last_msg = "SALVO (manual)"
+                    last_msg_t = time.time()
+
+            dt_loop = time.time() - t0
+            if dt_loop < 0.001:
+                time.sleep(0.001)
+
+    finally:
+        try:
+            print("STOP STREAM:", svc.stop_stream())
+        except Exception:
+            pass
+
+        try:
+            print("STOP:", svc.stop())
+        except Exception:
+            pass
+
+        svc.disconnect()
+        receiver.stop()
+        cv2.destroyAllWindows()
+        print("Fim da captura.")
+
+
+if __name__ == "__main__":
+    main()

Python/raspi/cam_3/multispectral_service.py

@@ -0,0 +1,405 @@
+import socket
+import json
+import numpy as np
+import base64
+import time
+from typing import Optional, Any
+
+
+class MultiSpectralService:
+    def __init__(self, host="192.168.105.6", port=5000, timeout=5):
+        self.host = host
+        self.port = port
+        self.timeout = timeout
+        self.sock = None
+        self.file = None
+
+    def __enter__(self):
+        self.connect()
+        return self
+
+    def __exit__(self, exc_type, exc, tb):
+        self.disconnect()
+
+    # =========================================================
+    # Conexão
+    # =========================================================
+
+    def connect(self):
+        if self.sock is not None:
+            return
+
+        self.sock = socket.create_connection((self.host, self.port), timeout=self.timeout)
+        self.sock.settimeout(self.timeout)
+        self.file = self.sock.makefile("r", encoding="utf-8")
+
+    def disconnect(self):
+        try:
+            if self.file:
+                self.file.close()
+        except Exception:
+            pass
+
+        try:
+            if self.sock:
+                self.sock.close()
+        except Exception:
+            pass
+
+        self.file = None
+        self.sock = None
+
+    def check_connection(self, timeout: float = None) -> bool:
+        try:
+            self.connect()
+            resp = self._send_command({"cmd": "ping"})
+            return resp.get("ok") and resp.get("reply") == "pong"
+        except Exception:
+            return False
+
+    def is_alive(self) -> bool:
+        try:
+            self.connect()
+            resp = self._send_command({"cmd": "ping"})
+            return resp.get("ok") and resp.get("reply") == "pong"
+        except Exception:
+            return False
+
+    def ensure_alive(self):
+        try:
+            self.connect()
+        except Exception as e:
+            raise RuntimeError(
+                f"Não foi possível conectar ao módulo em {self.host}:{self.port}. "
+                f"Verifique rede, IP e se o Pi está ligado. Erro: {e}"
+            ) from e
+
+        try:
+            resp = self._send_command({"cmd": "ping"})
+        except Exception as e:
+            raise RuntimeError(
+                f"Conectou ao endereço {self.host}:{self.port}, mas o módulo não respondeu ao ping. "
+                f"Verifique se o serviço está rodando no Pi. Erro: {e}"
+            ) from e
+
+        if not resp.get("ok") or resp.get("reply") != "pong":
+            raise RuntimeError(f"Resposta inválida do módulo ao ping: {resp}")
+
+    def _send_command(self, payload: dict) -> dict:
+        if self.sock is None:
+            self.connect()
+
+        data = (json.dumps(payload) + "\n").encode("utf-8")
+        self.sock.sendall(data)
+
+        line = self.file.readline()
+        if not line:
+            self.disconnect()
+            raise RuntimeError("Conexão encerrada pelo servidor")
+
+        return json.loads(line.strip())
+
+    # =========================================================
+    # Helpers numpy
+    # =========================================================
+
+    def _numpy_dtype_from_string(self, dtype_str: str):
+        mapping = {
+            "uint8": np.uint8,
+            "uint16": np.uint16,
+            "float32": np.float32,
+        }
+        if dtype_str not in mapping:
+            raise RuntimeError(f"dtype não suportado recebido do Pi: {dtype_str}")
+        return mapping[dtype_str]
+
+    def _reshape_array_from_shape(self, raw_bytes: bytes, dtype_str: str, shape: list | tuple):
+        np_dtype = self._numpy_dtype_from_string(dtype_str)
+        arr = np.frombuffer(raw_bytes, dtype=np_dtype)
+        return arr.reshape(tuple(shape))
+
+    def _reshape_array(self, raw_bytes: bytes, dtype_str: str, layout: str, width: int, height: int, channels: int):
+        np_dtype = self._numpy_dtype_from_string(dtype_str)
+        arr = np.frombuffer(raw_bytes, dtype=np_dtype)
+
+        if layout == "HW":
+            return arr.reshape(height, width)
+
+        if layout == "CHW":
+            return arr.reshape(channels, height, width)
+
+        if layout == "HWC":
+            return arr.reshape(height, width, channels)
+
+        raise RuntimeError(f"Layout não suportado recebido do Pi: {layout}")
+
+    def _decode_single_array(self, raw: bytes, resp: dict):
+        dtype_str = resp.get("dtype") or resp.get("output_dtype") or "uint8"
+        shape = resp.get("shape")
+
+        if shape:
+            return self._reshape_array_from_shape(raw, dtype_str, shape)
+
+        output_layout = resp.get("output_layout", "HW")
+        width = int(resp.get("output_width", resp.get("width", 0)))
+        height = int(resp.get("output_height", resp.get("height", 0)))
+        channels = int(resp.get("output_channels", resp.get("channels", 1)))
+
+        return self._reshape_array(
+            raw_bytes=raw,
+            dtype_str=dtype_str,
+            layout=output_layout,
+            width=width,
+            height=height,
+            channels=channels,
+        )
+
+    def _decode_multi_frames_base64(self, resp: dict):
+        frames_resp = resp.get("frames", {})
+        payload_parts = resp.get("payload_parts", []) or []
+        camera_frames = resp.get("camera_frames", {}) or {}
+
+        parts_by_cam = {}
+        for part in payload_parts:
+            cam_id = part.get("camera_id")
+            if cam_id:
+                parts_by_cam[cam_id] = part
+
+        frames = {}
+
+        for cam_id, item in frames_resp.items():
+            raw = base64.b64decode(item["data"])
+            part_meta = parts_by_cam.get(cam_id, {})
+            cam_meta = camera_frames.get(cam_id, {})
+
+            dtype_str = part_meta.get("dtype") or resp.get("dtype") or resp.get("output_dtype")
+            shape = part_meta.get("shape")
+
+            if dtype_str == "multi" or dtype_str is None:
+                # fallback conservador
+                dtype_str = "uint8" if int(cam_meta.get("channels", 1)) > 1 else "uint16"
+
+            if shape:
+                arr = self._reshape_array_from_shape(raw, dtype_str, shape)
+            else:
+                width = int(part_meta.get("width", cam_meta.get("width", 0)))
+                height = int(part_meta.get("height", cam_meta.get("height", 0)))
+                channels = int(part_meta.get("channels", cam_meta.get("channels", 1)))
+
+                layout = "HWC" if channels > 1 else "HW"
+
+                arr = self._reshape_array(
+                    raw_bytes=raw,
+                    dtype_str=dtype_str,
+                    layout=layout,
+                    width=width,
+                    height=height,
+                    channels=channels,
+                )
+
+            frames[cam_id] = arr
+
+        return frames
+
+    def _extract_meta(self, resp: dict, t0: float) -> dict:
+        dtype_str = resp.get("dtype") or resp.get("output_dtype") or "uint8"
+
+        return {
+            "frame_id": resp.get("frame_id"),
+            "frame_type": resp.get("frame_type"),
+            "payload_format_version": resp.get("payload_format_version"),
+
+            "output_dtype": resp.get("output_dtype"),
+            "dtype": dtype_str,
+            "output_layout": resp.get("output_layout"),
+            "output_channels": resp.get("output_channels"),
+            "output_channel_names": resp.get("output_channel_names"),
+            "output_width": resp.get("output_width"),
+            "output_height": resp.get("output_height"),
+
+            "payload_sources": resp.get("payload_sources"),
+            "payload_complete": resp.get("payload_complete"),
+
+            "source_camera": resp.get("source_camera"),
+            "source_cameras": resp.get("source_cameras"),
+            "camera_frames": resp.get("camera_frames"),
+
+            "multi_payload": resp.get("multi_payload", False),
+            "payload_kind": resp.get("payload_kind"),
+            "payload_parts": resp.get("payload_parts"),
+
+            "packed_width": resp.get("packed_width"),
+            "packed_height": resp.get("packed_height"),
+            "source_width": resp.get("source_width"),
+            "source_height": resp.get("source_height"),
+            "source_bayer_pattern": resp.get("source_bayer_pattern"),
+            "source_bit_depth": resp.get("source_bit_depth"),
+
+            "size": resp.get("size"),
+            "ts_pi": resp.get("ts_pi"),
+            "ts_pi_monotonic": resp.get("ts_pi_monotonic"),
+
+            "dt_trigger": resp.get("dt_trigger"),
+            "dt_settle": resp.get("dt_settle"),
+            "dt_capture": resp.get("dt_capture"),
+            "dt_process": resp.get("dt_process"),
+            "dt_total_pi": resp.get("dt_total_pi"),
+
+            "dt_total_pc": time.perf_counter() - t0,
+        }
+
+    # =========================================================
+    # Comandos básicos
+    # =========================================================
+
+    def ping(self):
+        return self._send_command({"cmd": "ping"})
+
+    def get_status(self):
+        return self._send_command({"cmd": "get_status"})
+
+    def get_config(self):
+        return self._send_command({"cmd": "get_config"})
+
+    def begin(self, frame_type: str = "RAW_BRUTO", output_dtype: str = "uint8", capture_mode: str = "AUTO"):
+        return self._send_command({
+            "cmd": "begin",
+            "frame_type": frame_type,
+            "output_dtype": output_dtype,
+            "capture_mode": capture_mode,
+        })
+
+    def stop(self):
+        return self._send_command({"cmd": "stop"})
+
+    def set_fps(self, fps: int):
+        return self._send_command({"cmd": "set_fps", "value": fps})
+
+    def set_jpeg_quality(self, quality: int):
+        return self._send_command({"cmd": "set_jpeg_quality", "value": quality})
+
+    def set_frame_type(self, frame_type: str):
+        return self._send_command({"cmd": "set_frame_type", "value": frame_type})
+
+    def set_output_dtype(self, output_dtype: str):
+        return self._send_command({"cmd": "set_output_dtype", "value": output_dtype})
+
+    def set_capture_mode(self, capture_mode: str):
+        return self._send_command({"cmd": "set_capture_mode", "value": capture_mode})
+
+    def set_camera_enabled(self, index: int, enabled: bool):
+        return self._send_command({
+            "cmd": "set_camera_enabled",
+            "index": index,
+            "enabled": bool(enabled)
+        })
+
+    def set_camera_bayer(self, index: int, bayer_pattern: str):
+        return self._send_command({
+            "cmd": "set_camera_bayer",
+            "index": index,
+            "pattern": bayer_pattern
+        })
+
+    def set_camera_resolution(self, index: int, width: int, height: int):
+        return self._send_command({
+            "cmd": "set_camera_resolution",
+            "index": index,
+            "width": width,
+            "height": height
+        })
+
+    # =========================================================
+    # Captura
+    # =========================================================
+
+    def capture_frame(self):
+        t0 = time.perf_counter()
+
+        resp = self._send_command({"cmd": "capture_frame"})
+        if not resp.get("ok"):
+            raise RuntimeError(resp.get("error", "Falha ao capturar frame"))
+
+        encoding = resp.get("encoding", "base64")
+        meta = self._extract_meta(resp, t0)
+
+        if encoding == "base64":
+            raw = base64.b64decode(resp["data"])
+            arr = self._decode_single_array(raw, resp)
+
+            meta.update({
+                "shape": list(arr.shape),
+                "channels": int(arr.shape[0]) if arr.ndim == 3 and resp.get("output_layout") == "CHW"
+                           else (int(arr.shape[2]) if arr.ndim == 3 else 1),
+                "width": int(arr.shape[2]) if arr.ndim == 3 and resp.get("output_layout") == "CHW"
+                         else (int(arr.shape[1]) if arr.ndim == 3 else int(arr.shape[1])),
+                "height": int(arr.shape[1]) if arr.ndim == 3 and resp.get("output_layout") == "CHW"
+                          else int(arr.shape[0]),
+            })
+            return arr, meta
+
+        if encoding == "base64-multi":
+            frames = self._decode_multi_frames_base64(resp)
+            meta.update({
+                "frames_meta": resp.get("camera_frames", {}),
+                "decoded_shapes": {cam_id: list(arr.shape) for cam_id, arr in frames.items()},
+            })
+            return frames, meta
+
+        raise RuntimeError(f"encoding não suportado recebido do Pi: {encoding}")
+
+    def capture_frame_array(self):
+        return self.capture_frame()
+
+    # =========================================================
+    # Stream
+    # =========================================================
+
+    def start_stream(self, host: str, port: int, fps: float):
+        return self._send_command({
+            "cmd": "start_stream",
+            "host": host,
+            "port": port,
+            "fps": fps
+        })
+
+    def stop_stream(self):
+        return self._send_command({"cmd": "stop_stream"})
+
+    # =========================================================
+    # Controles de câmera
+    # =========================================================
+
+    def get_camera_controls(self):
+        return self._send_command({"cmd": "get_camera_controls"})
+
+    def set_ae_enable(self, value: bool):
+        return self._send_command({"cmd": "set_ae_enable", "value": bool(value)})
+
+    def set_awb_enable(self, value: bool):
+        return self._send_command({"cmd": "set_awb_enable", "value": bool(value)})
+
+    def set_exposure_time(self, exposure_time_us: Optional[int] = None):
+        return self._send_command({"cmd": "set_exposure_time", "value": exposure_time_us})
+
+    def clear_exposure_time(self):
+        return self._send_command({"cmd": "clear_exposure_time"})
+
+    def set_analogue_gain(self, gain: float | None):
+        return self._send_command({"cmd": "set_analogue_gain", "value": gain})
+
+    def clear_analogue_gain(self):
+        return self._send_command({"cmd": "clear_analogue_gain"})
+
+    def set_colour_gains(self, r_gain: float, b_gain: float):
+        return self._send_command({
+            "cmd": "set_colour_gains",
+            "r_gain": r_gain,
+            "b_gain": b_gain
+        })
+
+    def clear_colour_gains(self):
+        return self._send_command({"cmd": "clear_colour_gains"})
+
+    def get_sensor_modes(self):
+        return self._send_command({"cmd": "get_sensor_modes"})

Python/raspi/cam_3/pi/camera_manager.py

@@ -0,0 +1,560 @@
+from picamera2 import Picamera2
+from threading import Lock, RLock
+import threading
+import time
+import numpy as np
+import cv2
+from pathlib import Path
+
+
+class CameraManager:
+    def __init__(self, state):
+        self.state = state
+        self.initialized = False
+
+        self.camera_lock = RLock()
+        self.frame_lock = Lock()
+
+        self.cameras_runtime = {}
+        self._reconfigure_needed = False
+        self._sensor_modes_cache = None
+
+    # =========================================================
+    # Estado interno
+    # =========================================================
+
+    def mark_reconfigure_needed(self):
+        with self.camera_lock:
+            self._reconfigure_needed = True
+
+    def _init_camera_runtime(self, cam_spec):
+        return {
+            "camera_id": cam_spec.id,
+            "camera_index": cam_spec.index,
+            "role": cam_spec.role,
+            "interface": getattr(cam_spec, "interface", "CSI"),
+
+            "backend": None,           # picamera2 | opencv
+            "picam2": None,
+            "cap": None,
+
+            "last_frame": None,
+            "frame_id": 0,
+            "frame_ts": None,
+            "buffer": None,
+
+            "stop_event": threading.Event(),
+            "thread": None,
+        }
+
+    # =========================================================
+    # Seleção de câmeras necessárias
+    # =========================================================
+
+    def _get_required_camera_ids(self):
+        if hasattr(self.state, "get_required_camera_ids_for_frame_type"):
+            return self.state.get_required_camera_ids_for_frame_type()
+
+        frame_type = self.state.frame_type
+        resolved_mode = self.state.resolve_capture_mode()
+
+        if frame_type == "RGB":
+            cam = getattr(self.state, "rgb_camera_id", None)
+            return [cam] if cam else []
+
+        if frame_type == "MULTISPEC":
+            ids = []
+            for attr in ("rgb_camera_id", "re_camera_id", "nir_camera_id"):
+                cam_id = getattr(self.state, attr, None)
+                if cam_id:
+                    ids.append(cam_id)
+            return ids
+
+        if frame_type == "RAW_BRUTO":
+            if resolved_mode == "TRIPLE":
+                return [cam.id for cam in self.state.cameras if cam.enabled]
+            if resolved_mode == "SINGLE":
+                for role in ("rgb", "re", "nir"):
+                    if hasattr(self.state, "get_active_camera_by_role"):
+                        cam = self.state.get_active_camera_by_role(role)
+                        if cam:
+                            return [cam.id]
+            return []
+
+        return []
+
+    # =========================================================
+    # Inicialização
+    # =========================================================
+
+    def begin(self):
+        with self.camera_lock:
+            self.stop()
+
+            required_ids = set(self._get_required_camera_ids())
+            if not required_ids:
+                print("[WARN] Nenhuma câmera requerida para o frame_type/capture_mode atual")
+
+            for cam in self.state.cameras:
+                if cam.id not in required_ids:
+                    self.state.set_camera_connected(cam.index, False)
+                    continue
+
+                try:
+                    runtime = self._open_camera(cam)
+                    self.cameras_runtime[cam.id] = runtime
+
+                    self.state.set_camera_connected(
+                        cam.index,
+                        True,
+                        width=cam.width,
+                        height=cam.height,
+                        bayer_pattern=cam.bayer_pattern,
+                        bit_depth=cam.bit_depth,
+                    )
+
+                except Exception as e:
+                    print(f"[WARN] Falha ao abrir {cam.id} (index={cam.index}, role={cam.role}): {e}")
+                    self.state.set_camera_connected(cam.index, False)
+
+            # Aplica controles logo após abrir
+            if self.cameras_runtime:
+                try:
+                    self.apply_controls()
+                except Exception as e:
+                    print(f"[WARN] Falha ao aplicar controles iniciais: {e}")
+
+            for cam_id in list(self.cameras_runtime.keys()):
+                self._start_thread(cam_id)
+
+            self.initialized = len(self.cameras_runtime) > 0
+            self._reconfigure_needed = False
+
+        return self.initialized
+
+    def _open_camera(self, cam):
+        interface = getattr(cam, "interface", "CSI").upper()
+
+        if interface == "CSI":
+            return self._open_csi_camera(cam)
+
+        if interface == "USB":
+            return self._open_usb_camera(cam)
+
+        raise RuntimeError(f"Interface de câmera não suportada: {interface}")
+
+    def _open_csi_camera(self, cam):
+        runtime = self._init_camera_runtime(cam)
+
+        picam2 = Picamera2(camera_num=cam.index)
+
+        config = picam2.create_video_configuration(
+            main={"size": (640, 480), "format": "RGB888"},
+            raw={"size": (cam.width, cam.height)},
+            buffer_count=6
+        )
+
+        picam2.configure(config)
+        picam2.start()
+
+        runtime["backend"] = "picamera2"
+        runtime["picam2"] = picam2
+        return runtime
+
+    def _open_usb_camera(self, cam):
+        runtime = self._init_camera_runtime(cam)
+
+        backend_name = str(getattr(cam, "usb_backend", "V4L2")).upper()
+        api_preference = cv2.CAP_V4L2 if backend_name == "V4L2" else cv2.CAP_ANY
+
+        source = self._resolve_usb_video_path(cam)
+        if source:
+            cap = cv2.VideoCapture(source, api_preference)
+        else:
+            cap = cv2.VideoCapture(cam.index, api_preference)
+
+        if not cap.isOpened():
+            # fallback no índice se o path falhar
+            if source:
+                cap.release()
+                cap = cv2.VideoCapture(cam.index, api_preference)
+
+        if not cap.isOpened():
+            raise RuntimeError(
+                f"Falha ao abrir câmera USB. device_path={getattr(cam, 'device_path', None)} index={cam.index}"
+            )
+
+        # Configuração desejada
+        cap.set(cv2.CAP_PROP_FRAME_WIDTH, cam.width)
+        cap.set(cv2.CAP_PROP_FRAME_HEIGHT, cam.height)
+        cap.set(cv2.CAP_PROP_FPS, float(self.state.fps))
+
+        # Tenta reduzir buffer
+        try:
+            cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)
+        except Exception:
+            pass
+
+        # Tenta MJPG, se a câmera suportar
+        try:
+            fourcc = cv2.VideoWriter_fourcc(*"MJPG")
+            cap.set(cv2.CAP_PROP_FOURCC, fourcc)
+        except Exception:
+            pass
+
+        # Pequeno warmup
+        time.sleep(0.25)
+
+        frame = None
+        ok = False
+        for i in range(15):
+            ok, frame = cap.read()
+            if ok and frame is not None:
+                break
+            time.sleep(0.05)
+
+        if not ok or frame is None:
+            cap.release()
+            raise RuntimeError(
+                f"Falha ao capturar frame inicial da câmera USB "
+                f"(device_path={getattr(cam, 'device_path', None)}, index={cam.index})"
+            )
+
+        actual_h, actual_w = frame.shape[:2]
+        channels = frame.shape[2] if frame.ndim == 3 else 1
+
+        cam.width = int(actual_w)
+        cam.height = int(actual_h)
+
+        runtime["backend"] = "opencv"
+        runtime["cap"] = cap
+        runtime["buffer"] = frame.copy()
+        runtime["last_frame"] = runtime["buffer"]
+        runtime["frame_id"] = 1
+        runtime["frame_ts"] = time.perf_counter()
+
+        print(
+            f"[INFO] USB {cam.id} aberta: src={getattr(cam, 'device_path', None) or cam.index} "
+            f"{actual_w}x{actual_h}, channels={channels}, backend={backend_name}"
+        )
+
+        return runtime
+
+    def _resolve_usb_video_path(self, cam):
+        # 1. Se já veio um caminho explícito e ele existe, usa
+        device_path = getattr(cam, "device_path", None)
+        if device_path and Path(device_path).exists():
+            return str(Path(device_path).resolve()) if Path(device_path).is_symlink() else device_path
+
+        # 2. Tenta by-id
+        by_id_dir = Path("/dev/v4l/by-id")
+        if by_id_dir.exists():
+            candidates = sorted(by_id_dir.glob("*video-index0"))
+            if candidates:
+                # Para 1 webcam USB, o primeiro já costuma resolver
+                return str(candidates[0])
+
+        # 3. Tenta by-path
+        by_path_dir = Path("/dev/v4l/by-path")
+        if by_path_dir.exists():
+            candidates = sorted(by_path_dir.glob("*video-index0"))
+            if candidates:
+                return str(candidates[0])
+
+        # 4. Fallback bruto
+        return None
+
+    # =========================================================
+    # Threads de captura
+    # =========================================================
+
+    def _start_thread(self, cam_id):
+        runtime = self.cameras_runtime[cam_id]
+        runtime["stop_event"].clear()
+
+        t = threading.Thread(
+            target=self._update_loop,
+            args=(cam_id,),
+            daemon=True
+        )
+        runtime["thread"] = t
+        t.start()
+
+    def _update_loop(self, cam_id):
+        runtime = self.cameras_runtime[cam_id]
+        backend = runtime["backend"]
+
+        while not runtime["stop_event"].is_set():
+            try:
+                if backend == "picamera2":
+                    self._update_loop_picamera2(runtime)
+                elif backend == "opencv":
+                    self._update_loop_opencv(runtime)
+                else:
+                    raise RuntimeError(f"Backend desconhecido: {backend}")
+
+            except Exception as e:
+                print(f"[ERRO LOOP {cam_id}/{backend}] {e}")
+                time.sleep(0.05)
+
+    def _update_loop_picamera2(self, runtime):
+        request = None
+        try:
+            picam2 = runtime["picam2"]
+            request = picam2.capture_request()
+
+            raw = request.make_array("raw")
+
+            with self.frame_lock:
+                if (
+                    runtime["buffer"] is None or
+                    runtime["buffer"].shape != raw.shape or
+                    runtime["buffer"].dtype != raw.dtype
+                ):
+                    runtime["buffer"] = raw.copy()
+                else:
+                    np.copyto(runtime["buffer"], raw)
+
+                runtime["last_frame"] = runtime["buffer"]
+                runtime["frame_id"] += 1
+                runtime["frame_ts"] = time.perf_counter()
+
+        finally:
+            if request is not None:
+                try:
+                    request.release()
+                except Exception:
+                    pass
+
+    def _update_loop_opencv(self, runtime):
+        cap = runtime["cap"]
+
+        ok, frame = cap.read()
+        if not ok or frame is None:
+            raise RuntimeError("Falha ao ler frame da câmera USB")
+
+        with self.frame_lock:
+            if (
+                runtime["buffer"] is None or
+                runtime["buffer"].shape != frame.shape or
+                runtime["buffer"].dtype != frame.dtype
+            ):
+                runtime["buffer"] = frame.copy()
+            else:
+                np.copyto(runtime["buffer"], frame)
+
+            runtime["last_frame"] = runtime["buffer"]
+            runtime["frame_id"] += 1
+            runtime["frame_ts"] = time.perf_counter()
+
+    # =========================================================
+    # Leitura consolidada
+    # =========================================================
+
+    def capture_raw_frames(self):
+        result = {}
+
+        with self.frame_lock:
+            for cam_id, runtime in self.cameras_runtime.items():
+                if runtime["last_frame"] is None:
+                    continue
+
+                frame = runtime["last_frame"]
+                h, w = frame.shape[:2]
+                channels = frame.shape[2] if frame.ndim == 3 else 1
+
+                result[cam_id] = (
+                    frame,
+                    w,
+                    h,
+                    channels,
+                    runtime["frame_id"],
+                    runtime["frame_ts"]
+                )
+
+        return result
+
+    # =========================================================
+    # Controles
+    # =========================================================
+
+    def apply_controls(self):
+        with self.camera_lock:
+            for cam_id, runtime in self.cameras_runtime.items():
+                backend = runtime.get("backend")
+
+                if backend == "picamera2":
+                    self._apply_controls_picamera2(runtime)
+
+                elif backend == "opencv":
+                    self._apply_controls_opencv(runtime)
+
+        return True
+
+    def _apply_controls_picamera2(self, runtime):
+        picam2 = runtime.get("picam2")
+        if picam2 is None:
+            return
+
+        controls = {}
+        frame_us = int(1_000_000 / max(1, self.state.fps or 10))
+
+        controls["FrameDurationLimits"] = (frame_us, frame_us)
+        controls["AeEnable"] = bool(self.state.ae_enable)
+        controls["AwbEnable"] = bool(self.state.awb_enable)
+
+        if not self.state.ae_enable:
+            if self.state.exposure_time_us is not None:
+                controls["ExposureTime"] = int(self.state.exposure_time_us)
+            if self.state.analogue_gain is not None:
+                controls["AnalogueGain"] = float(self.state.analogue_gain)
+
+        # Só faz sentido real para câmera colorida no backend Picamera2.
+        # Como RE/NIR são mono, normalmente AWB/ColourGains serão ignorados.
+        if not self.state.awb_enable and self.state.colour_gains is not None:
+            r_gain, b_gain = self.state.colour_gains
+            controls["ColourGains"] = (float(r_gain), float(b_gain))
+
+        try:
+            picam2.set_controls(controls)
+        except Exception as e:
+            print(f"[ERRO CONTROLS PICAM2] {e} | controls={controls}")
+
+    def _apply_controls_opencv(self, runtime):
+        cap = runtime.get("cap")
+        if cap is None:
+            return
+
+        # FPS
+        try:
+            cap.set(cv2.CAP_PROP_FPS, float(self.state.fps))
+        except Exception:
+            pass
+
+        # Exposição
+        if self.state.exposure_time_us is not None:
+            try:
+                # Nem toda webcam respeita isso; tentativa best-effort
+                cap.set(cv2.CAP_PROP_AUTO_EXPOSURE, 0.25)  # manual em muitos backends V4L2
+            except Exception:
+                pass
+
+            try:
+                # OpenCV costuma usar escala dependente do driver.
+                # Mantemos como tentativa simples, depois calibramos na prática.
+                cap.set(cv2.CAP_PROP_EXPOSURE, float(self.state.exposure_time_us))
+            except Exception:
+                pass
+
+        # Ganho
+        if self.state.analogue_gain is not None:
+            try:
+                cap.set(cv2.CAP_PROP_GAIN, float(self.state.analogue_gain))
+            except Exception:
+                pass
+
+        # AWB / WB
+        try:
+            if self.state.awb_enable:
+                cap.set(cv2.CAP_PROP_AUTO_WB, 1)
+            else:
+                cap.set(cv2.CAP_PROP_AUTO_WB, 0)
+        except Exception:
+            pass
+
+    # =========================================================
+    # Sensor modes
+    # =========================================================
+
+    def get_sensor_modes(self):
+        if self._sensor_modes_cache is not None:
+            return self._sensor_modes_cache
+
+        result = []
+
+        for cam in self.state.cameras:
+            if getattr(cam, "interface", "CSI").upper() != "CSI":
+                continue
+
+            temp = None
+            try:
+                temp = Picamera2(camera_num=cam.index)
+                modes = temp.sensor_modes
+
+                cam_modes = []
+                for i, m in enumerate(modes):
+                    cam_modes.append({
+                        "camera_id": cam.id,
+                        "camera_index": cam.index,
+                        "role": cam.role,
+                        "interface": cam.interface,
+                        "mode_index": i,
+                        "format": str(m.get("format")) if m.get("format") is not None else None,
+                        "size": list(m.get("size")) if m.get("size") is not None else None,
+                        "bit_depth": m.get("bit_depth"),
+                        "fps": m.get("fps"),
+                        "crop_limits": list(m.get("crop_limits")) if m.get("crop_limits") is not None else None,
+                        "exposure_limits": list(m.get("exposure_limits")) if m.get("exposure_limits") is not None else None,
+                    })
+
+                result.extend(cam_modes)
+
+            except Exception as e:
+                result.append({
+                    "camera_id": cam.id,
+                    "camera_index": cam.index,
+                    "role": cam.role,
+                    "interface": cam.interface,
+                    "error": str(e),
+                })
+
+            finally:
+                if temp is not None:
+                    try:
+                        temp.close()
+                    except Exception:
+                        pass
+
+        self._sensor_modes_cache = result
+        return result
+
+    # =========================================================
+    # Encerramento
+    # =========================================================
+
+    def stop(self):
+        with self.camera_lock:
+            for runtime in self.cameras_runtime.values():
+                runtime["stop_event"].set()
+
+            for runtime in self.cameras_runtime.values():
+                t = runtime.get("thread")
+                if t:
+                    t.join(timeout=1.5)
+
+            for runtime in self.cameras_runtime.values():
+                cam = runtime.get("picam2")
+                if cam:
+                    try:
+                        cam.stop()
+                    except Exception:
+                        pass
+                    try:
+                        cam.close()
+                    except Exception:
+                        pass
+
+                cap = runtime.get("cap")
+                if cap:
+                    try:
+                        cap.release()
+                    except Exception:
+                        pass
+
+            self.cameras_runtime.clear()
+            self.initialized = False
+            self._reconfigure_needed = False
+            self._sensor_modes_cache = None
+
+            for cam in self.state.cameras:
+                self.state.set_camera_connected(cam.index, False)

Python/raspi/cam_3/pi/frame_service.py

@@ -0,0 +1,513 @@
+import time
+import threading
+import base64
+import numpy as np
+
+
+class FrameService:
+    def __init__(self, state, trigger_manager, camera_manager):
+        self.state = state
+        self.trigger = trigger_manager
+        self.camera = camera_manager
+        self._capture_lock = threading.RLock()
+        self.raw_processors = {}
+
+    # =========================================================
+    # Helpers
+    # =========================================================
+
+    def _get_camera_spec(self, cam_id):
+        cam = self.state.get_camera(cam_id)
+        if cam is None:
+            raise RuntimeError(f"Câmera '{cam_id}' não encontrada no state")
+        return cam
+
+    def _ensure_raw_processor_for_camera(self, cam_id):
+        cam = self._get_camera_spec(cam_id)
+        rp = self.raw_processors.get(cam_id)
+
+        if (
+            rp is None or
+            rp.sensor_width != cam.width or
+            rp.sensor_height != cam.height or
+            rp.bayer_pattern.upper() != cam.bayer_pattern.upper()
+        ):
+            from raw_processor_core import RawProcessorCore
+            rp = RawProcessorCore(
+                sensor_width=cam.width,
+                sensor_height=cam.height,
+                bayer_pattern=cam.bayer_pattern,
+            )
+            self.raw_processors[cam_id] = rp
+
+        return rp
+
+    def _capture_with_retry(self, required_sources, max_attempts=10, retry_delay_s=0.02):
+        last_frames = None
+
+        for _ in range(max_attempts):
+            frames = self.camera.capture_raw_frames()
+
+            ok = True
+            for cam_id in required_sources:
+                info = frames.get(cam_id)
+                if info is None:
+                    ok = False
+                    break
+
+                frame, width, height, channels, frame_id, frame_ts = info
+                if frame is None or width <= 0 or height <= 0 or channels <= 0:
+                    ok = False
+                    break
+
+            if ok:
+                return frames
+
+            last_frames = frames
+            time.sleep(retry_delay_s)
+
+        raise RuntimeError(
+            f"Capture retornou frames insuficientes após {max_attempts} tentativas. "
+            f"required_sources={required_sources}, received_sources={list((last_frames or {}).keys())}"
+        )
+
+    def _is_usb_rgb_camera(self, cam):
+        return getattr(cam, "interface", "").upper() == "USB" and cam.role == "rgb"
+
+    def _is_csi_multispec_camera(self, cam):
+        return getattr(cam, "interface", "").upper() == "CSI" and cam.role in ("re", "nir")
+
+    def _normalize_raw16_to_float(self, raw16: np.ndarray, bit_depth: int) -> np.ndarray:
+        max_val = float((1 << int(bit_depth)) - 1)
+        arr = raw16.astype(np.float32) / max_val
+        return np.clip(arr, 0.0, 1.0)
+
+    def _convert_usb_bgr_to_rgb_chw_float(self, frame_bgr: np.ndarray) -> np.ndarray:
+        if frame_bgr.ndim != 3 or frame_bgr.shape[2] != 3:
+            raise RuntimeError(f"Frame RGB USB inválido para conversão BGR->RGB: shape={frame_bgr.shape}")
+
+        rgb = frame_bgr[:, :, ::-1]  # BGR -> RGB
+        rgb = rgb.astype(np.float32) / 255.0
+        chw = np.transpose(rgb, (2, 0, 1))
+        return np.clip(chw, 0.0, 1.0)
+
+    def _convert_output_dtype(self, arr, bit_depth=None):
+        """
+        Converte arrays float32 normalizados [0..1], uint8, uint16 ou inteiros crus
+        para self.state.output_dtype.
+        """
+        if bit_depth is None:
+            bit_depth = 10
+
+        max_sensor_value = float((1 << int(bit_depth)) - 1)
+
+        if self.state.output_dtype == "uint8":
+            if arr.dtype == np.uint8:
+                return arr
+
+            if arr.dtype == np.float32:
+                return (arr * 255.0).clip(0, 255).astype(np.uint8)
+
+            if arr.dtype.kind in ("u", "i"):
+                max_val = arr.max() if arr.size > 0 else 0
+                if max_val <= 255:
+                    return arr.astype(np.uint8)
+                return ((arr.astype(np.float32) / max_sensor_value) * 255.0).clip(0, 255).astype(np.uint8)
+
+            raise RuntimeError(f"dtype não suportado para uint8: {arr.dtype}")
+
+        if self.state.output_dtype == "uint16":
+            if arr.dtype == np.uint16:
+                return arr
+
+            if arr.dtype == np.uint8:
+                return (arr.astype(np.uint16) << 8)
+
+            if arr.dtype == np.float32:
+                return (arr * 65535.0).clip(0, 65535).astype(np.uint16)
+
+            if arr.dtype.kind in ("u", "i"):
+                return arr.astype(np.uint16)
+
+            raise RuntimeError(f"dtype não suportado para uint16: {arr.dtype}")
+
+        if self.state.output_dtype == "float32":
+            if arr.dtype == np.float32:
+                return arr
+
+            if arr.dtype == np.uint8:
+                return arr.astype(np.float32) / 255.0
+
+            if arr.dtype.kind in ("u", "i"):
+                max_val = arr.max() if arr.size > 0 else 0
+                if max_val <= 255:
+                    return arr.astype(np.float32) / 255.0
+                return arr.astype(np.float32) / max_sensor_value
+
+            raise RuntimeError(f"dtype não suportado para float32: {arr.dtype}")
+
+        raise RuntimeError(f"output_dtype inválido: {self.state.output_dtype}")
+
+    # =========================================================
+    # Captura principal
+    # =========================================================
+
+    def capture_frame_raw(self):
+        with self._capture_lock:
+            if not self.state.initialized:
+                raise RuntimeError("Módulo não inicializado")
+
+            t0_perf = time.perf_counter()
+            t0_unix = time.time()
+
+            dt_trigger = 0.0
+            dt_settle = 0.0
+            dt_capture = 0.0
+            dt_process = 0.0
+
+            required_sources = list(self.state.payload.sources)
+            required_cams = [self._get_camera_spec(cam_id) for cam_id in required_sources]
+            has_csi_source = any(getattr(cam, "interface", "").upper() == "CSI" for cam in required_cams)
+
+            try:
+                # Trigger só vale para as CSI RE/NIR.
+                # A USB RGB não responde a esse trigger.
+                if self.state.trigger_enabled and has_csi_source:
+                    trig_start = time.perf_counter()
+                    self.trigger.pulse()
+                    trig_end = time.perf_counter()
+                    dt_trigger = trig_end - trig_start
+
+                    settle_ms = float(getattr(self.state, "trigger_settle_delay_ms", 0.0) or 0.0)
+                    if settle_ms > 0:
+                        settle_start = time.perf_counter()
+                        time.sleep(settle_ms / 1000.0)
+                        settle_end = time.perf_counter()
+                        dt_settle = settle_end - settle_start
+
+                cap_start = time.perf_counter()
+                raw_frames = self._capture_with_retry(required_sources)
+                cap_end = time.perf_counter()
+                dt_capture = cap_end - cap_start
+
+                proc_start = time.perf_counter()
+                frame_out, meta_extra = self._build_output_frame(raw_frames)
+                proc_end = time.perf_counter()
+                dt_process = proc_end - proc_start
+
+            except Exception as e:
+                raise RuntimeError(f"Falha durante captura/processamento de frame: {e}") from e
+
+            if frame_out is None:
+                raise RuntimeError("Frame processado retornou nulo")
+
+            total_end = time.perf_counter()
+
+            self.state.stream_frame_id += 1
+            frame_id = self.state.stream_frame_id
+
+            camera_frames_meta = {}
+            for cam_id, info in raw_frames.items():
+                frame, width, height, channels, cam_frame_id, cam_frame_ts = info
+                cam = self._get_camera_spec(cam_id)
+
+                camera_frames_meta[cam_id] = {
+                    "camera_frame_id": int(cam_frame_id),
+                    "camera_frame_ts": cam_frame_ts,
+                    "width": int(width),
+                    "height": int(height),
+                    "channels": int(channels),
+                    "role": cam.role,
+                    "interface": getattr(cam, "interface", None),
+                    "bayer_pattern": cam.bayer_pattern,
+                    "bit_depth": int(cam.bit_depth),
+                    "device_path": getattr(cam, "device_path", None),
+                }
+
+            meta = {
+                "frame_id": frame_id,
+                "ts_pi": t0_unix,
+                "ts_pi_monotonic": t0_perf,
+
+                "dt_trigger": dt_trigger,
+                "dt_settle": dt_settle,
+                "dt_capture": dt_capture,
+                "dt_process": dt_process,
+                "dt_total_pi": total_end - t0_perf,
+
+                "camera_frames": camera_frames_meta,
+                "capture_mode_resolved": self.state.resolve_capture_mode(),
+                "payload_format_version": self.state.payload_format_version,
+            }
+
+            meta.update(meta_extra)
+            return frame_out, meta
+
+    def capture_frame_base64(self):
+        frame, meta = self.capture_frame_raw()
+
+        if isinstance(frame, dict):
+            encoded = {}
+            total_size = 0
+
+            for cam_id, arr in frame.items():
+                frame_bytes = arr.tobytes()
+                total_size += len(frame_bytes)
+                encoded[cam_id] = {
+                    "encoding": "base64",
+                    "size": len(frame_bytes),
+                    "data": base64.b64encode(frame_bytes).decode("ascii"),
+                }
+
+            meta["encoding"] = "base64-multi"
+            meta["size"] = total_size
+            meta["frames"] = encoded
+            return meta
+
+        frame_bytes = frame.tobytes()
+        meta["encoding"] = "base64"
+        meta["size"] = len(frame_bytes)
+        meta["data"] = base64.b64encode(frame_bytes).decode("ascii")
+        return meta
+
+    # =========================================================
+    # Roteamento por frame_type
+    # =========================================================
+
+    def _build_output_frame(self, raw_frames):
+        if self.state.frame_type == "RAW_BRUTO":
+            return self._process_raw_bruto(raw_frames)
+
+        if self.state.frame_type == "RGB":
+            return self._process_rgb(raw_frames)
+
+        if self.state.frame_type == "MULTISPEC":
+            return self._process_multispec(raw_frames)
+
+        raise RuntimeError(f"frame_type inválido: {self.state.frame_type}")
+
+    # =========================================================
+    # RAW_BRUTO
+    # =========================================================
+
+    def _process_raw_bruto(self, raw_frames):
+        sources = list(self.state.payload.sources)
+
+        if len(sources) == 1:
+            cam_id = sources[0]
+            frame, width, height, channels, cam_frame_id, cam_frame_ts = raw_frames[cam_id]
+            cam = self._get_camera_spec(cam_id)
+
+            if channels == 1:
+                output_layout = "HW"
+                output_channel_names = ["RAW_NATIVE"]
+            else:
+                output_layout = "HWC"
+                output_channel_names = [f"C{i}" for i in range(channels)]
+
+            meta_extra = {
+                "frame_type": self.state.frame_type,
+                "output_dtype": str(frame.dtype),
+                "dtype": str(frame.dtype),
+                "output_layout": output_layout,
+                "output_channels": int(channels),
+                "output_channel_names": output_channel_names,
+                "output_width": int(width),
+                "output_height": int(height),
+                "width": int(width),
+                "height": int(height),
+                "channels": int(channels),
+                "payload_sources": [cam_id],
+                "source_camera": {
+                    "id": cam_id,
+                    "role": cam.role,
+                    "interface": getattr(cam, "interface", None),
+                    "bayer_pattern": cam.bayer_pattern,
+                    "bit_depth": int(cam.bit_depth),
+                    "device_path": getattr(cam, "device_path", None),
+                },
+            }
+            return frame, meta_extra
+
+        frames_out = {}
+        sources_meta = []
+
+        for cam_id in sources:
+            frame, width, height, channels, cam_frame_id, cam_frame_ts = raw_frames[cam_id]
+            cam = self._get_camera_spec(cam_id)
+            frames_out[cam_id] = frame
+
+            sources_meta.append({
+                "id": cam_id,
+                "role": cam.role,
+                "interface": getattr(cam, "interface", None),
+                "width": int(width),
+                "height": int(height),
+                "channels": int(channels),
+                "bayer_pattern": cam.bayer_pattern,
+                "bit_depth": int(cam.bit_depth),
+                "device_path": getattr(cam, "device_path", None),
+            })
+
+        meta_extra = {
+            "frame_type": self.state.frame_type,
+            "output_dtype": "multi",
+            "dtype": "multi",
+            "output_layout": "MULTI_NATIVE",
+            "output_channels": len(frames_out),
+            "output_channel_names": [f"NATIVE_{cam_id.upper()}" for cam_id in sources],
+            "output_width": None,
+            "output_height": None,
+            "width": None,
+            "height": None,
+            "channels": len(frames_out),
+            "payload_sources": sources,
+            "raw_sources": sources_meta,
+        }
+
+        return frames_out, meta_extra
+
+    # =========================================================
+    # RGB
+    # =========================================================
+
+    def _process_rgb(self, raw_frames):
+        cam_id = self.state.payload.sources[0]
+        frame, width, height, channels, _, _ = raw_frames[cam_id]
+        cam = self._get_camera_spec(cam_id)
+
+        if not self._is_usb_rgb_camera(cam):
+            raise RuntimeError(
+                f"Modo RGB espera câmera USB role=rgb, mas recebeu cam_id={cam_id}, "
+                f"role={cam.role}, interface={getattr(cam, 'interface', None)}"
+            )
+
+        rgb_chw = self._convert_usb_bgr_to_rgb_chw_float(frame)
+        rgb_chw = self._convert_output_dtype(rgb_chw, bit_depth=8)
+
+        meta_extra = {
+            "frame_type": self.state.frame_type,
+            "output_dtype": self.state.output_dtype,
+            "dtype": str(rgb_chw.dtype),
+            "output_layout": "CHW",
+            "output_channels": 3,
+            "output_channel_names": ["R", "G", "B"],
+            "output_width": int(rgb_chw.shape[2]),
+            "output_height": int(rgb_chw.shape[1]),
+            "width": int(rgb_chw.shape[2]),
+            "height": int(rgb_chw.shape[1]),
+            "channels": 3,
+            "payload_sources": [cam_id],
+            "source_camera": {
+                "id": cam_id,
+                "role": cam.role,
+                "interface": getattr(cam, "interface", None),
+                "bit_depth": int(cam.bit_depth),
+                "source_width": int(width),
+                "source_height": int(height),
+                "device_path": getattr(cam, "device_path", None),
+            },
+            "rgb_note": "RGB derivado diretamente de frame USB BGR8",
+        }
+
+        return rgb_chw, meta_extra
+
+    # =========================================================
+    # MULTISPEC
+    # =========================================================
+
+    def _process_multispec(self, raw_frames):
+        sources = list(self.state.payload.sources)
+        if len(sources) < 2:
+            raise RuntimeError("MULTISPEC requer pelo menos RGB + RE ou RGB + NIR")
+
+        rgb_cam = self.state.get_active_camera_by_role("rgb")
+        re_cam = self.state.get_active_camera_by_role("re")
+        nir_cam = self.state.get_active_camera_by_role("nir")
+
+        if rgb_cam is None:
+            raise RuntimeError("MULTISPEC requer uma câmera RGB ativa")
+
+        # RGB USB
+        rgb_frame, rgb_w, rgb_h, rgb_channels, _, _ = raw_frames[rgb_cam.id]
+        if rgb_channels != 3:
+            raise RuntimeError(f"Frame RGB USB inválido: channels={rgb_channels}, shape={rgb_frame.shape}")
+
+        rgb_chw = self._convert_usb_bgr_to_rgb_chw_float(rgb_frame)
+
+        spectral_parts = []
+        source_cameras = [{
+            "id": rgb_cam.id,
+            "role": rgb_cam.role,
+            "interface": getattr(rgb_cam, "interface", None),
+            "bit_depth": int(rgb_cam.bit_depth),
+            "device_path": getattr(rgb_cam, "device_path", None),
+        }]
+        channel_names = ["R", "G", "B"]
+
+        if re_cam is not None and re_cam.id in raw_frames:
+            re_packed, *_ = raw_frames[re_cam.id]
+            if re_packed.ndim == 3 and re_packed.shape[2] == 1:
+                re_packed = re_packed[:, :, 0]
+
+            rp_re = self._ensure_raw_processor_for_camera(re_cam.id)
+            re_raw16 = rp_re.unpack_raw10_packed(re_packed)
+            re_single = self._normalize_raw16_to_float(re_raw16, re_cam.bit_depth)[None, :, :]
+            spectral_parts.append(re_single)
+            channel_names.append("RE")
+            source_cameras.append({
+                "id": re_cam.id,
+                "role": re_cam.role,
+                "interface": getattr(re_cam, "interface", None),
+                "bayer_pattern": re_cam.bayer_pattern,
+                "bit_depth": int(re_cam.bit_depth),
+            })
+
+        if nir_cam is not None and nir_cam.id in raw_frames:
+            nir_packed, *_ = raw_frames[nir_cam.id]
+            if nir_packed.ndim == 3 and nir_packed.shape[2] == 1:
+                nir_packed = nir_packed[:, :, 0]
+
+            rp_nir = self._ensure_raw_processor_for_camera(nir_cam.id)
+            nir_raw16 = rp_nir.unpack_raw10_packed(nir_packed)
+            nir_single = self._normalize_raw16_to_float(nir_raw16, nir_cam.bit_depth)[None, :, :]
+            spectral_parts.append(nir_single)
+            channel_names.append("NIR")
+            source_cameras.append({
+                "id": nir_cam.id,
+                "role": nir_cam.role,
+                "interface": getattr(nir_cam, "interface", None),
+                "bayer_pattern": nir_cam.bayer_pattern,
+                "bit_depth": int(nir_cam.bit_depth),
+            })
+
+        if not spectral_parts:
+            raise RuntimeError("MULTISPEC requer pelo menos um canal espectral CSI além do RGB")
+
+        arrays = [rgb_chw] + spectral_parts
+
+        min_h = min(arr.shape[1] for arr in arrays)
+        min_w = min(arr.shape[2] for arr in arrays)
+
+        arrays = [arr[:, :min_h, :min_w] for arr in arrays]
+        multispec = np.concatenate(arrays, axis=0)
+        multispec = self._convert_output_dtype(multispec)
+
+        meta_extra = {
+            "frame_type": self.state.frame_type,
+            "output_dtype": self.state.output_dtype,
+            "dtype": str(multispec.dtype),
+            "output_layout": "CHW",
+            "output_channels": int(multispec.shape[0]),
+            "output_channel_names": channel_names,
+            "output_width": int(multispec.shape[2]),
+            "output_height": int(multispec.shape[1]),
+            "width": int(multispec.shape[2]),
+            "height": int(multispec.shape[1]),
+            "channels": int(multispec.shape[0]),
+            "payload_sources": [cam["id"] for cam in source_cameras],
+            "source_cameras": source_cameras,
+            "multispec_note": "Modo adaptativo: RGB USB + 1 ou 2 canais espectrais CSI",
+        }
+
+        return multispec, meta_extra

Python/raspi/cam_3/pi/main.py

@@ -0,0 +1,5 @@
+from server import ModuleServer
+
+if __name__ == "__main__":
+    server = ModuleServer(host="0.0.0.0", port=5000)
+    server.start()

Python/raspi/cam_3/pi/protocol.py

@@ -0,0 +1,35 @@
+import json
+
+
+MAX_MESSAGE_SIZE = 1024 * 1024  # 1 MB
+
+
+def decode_message(raw_line: str) -> dict:
+    if raw_line is None:
+        raise ValueError("Mensagem ausente")
+
+    if len(raw_line) > MAX_MESSAGE_SIZE:
+        raise ValueError("Mensagem excede tamanho máximo permitido")
+
+    raw_line = raw_line.strip()
+    if not raw_line:
+        raise ValueError("Mensagem vazia")
+
+    try:
+        data = json.loads(raw_line)
+    except json.JSONDecodeError as e:
+        raise ValueError(f"JSON inválido: {e.msg}") from e
+
+    if not isinstance(data, dict):
+        raise ValueError("Mensagem JSON deve ser um objeto")
+
+    return data
+
+
+def encode_message(data: dict) -> bytes:
+    if not isinstance(data, dict):
+        raise ValueError("Resposta deve ser um objeto dict")
+
+    return (
+        json.dumps(data, ensure_ascii=False, separators=(",", ":")) + "\n"
+    ).encode("utf-8")

Python/raspi/cam_3/pi/raw_processor_core.py

@@ -0,0 +1,123 @@
+import numpy as np
+import math
+from typing import Optional
+
+
+class RawProcessorCore:
+    def __init__(self, sensor_width: int, sensor_height: int, bayer_pattern: str = "GBRG"):
+        self.sensor_width = sensor_width
+        self.sensor_height = sensor_height
+        self.bayer_pattern = bayer_pattern.upper()
+
+    def unpack_raw10_packed(
+        self,
+        packed_frame: np.ndarray,
+        sensor_width: Optional[int] = None,
+        sensor_height: Optional[int] = None
+    ):
+        if packed_frame.ndim == 3 and packed_frame.shape[2] == 1:
+            packed_frame = packed_frame[:, :, 0]
+
+        width = sensor_width if sensor_width is not None else self.sensor_width
+        height = sensor_height if sensor_height is not None else self.sensor_height
+
+        expected_packed_width = math.ceil(width * 10 / 8)
+
+        actual_h, actual_w = packed_frame.shape[:2]
+        padding = actual_w - expected_packed_width
+
+        if actual_h != height:
+            raise ValueError(
+                f"[ERRO FRAME] Altura packed inesperada: {packed_frame.shape}, "
+                f"esperado altura={height}"
+            )
+
+        if actual_w < expected_packed_width:
+            raise ValueError(
+                f"[ERRO FRAME] Largura packed menor que a útil esperada: {packed_frame.shape}, "
+                f"esperado pelo menos ({height}, {expected_packed_width})"
+            )
+
+        if padding > 64:
+            raise ValueError(
+                f"[ERRO FRAME] Padding excessivo no packed: {packed_frame.shape}, "
+                f"esperado útil ({height}, {expected_packed_width}), padding={padding}"
+            )
+
+        packed_frame = packed_frame[:, :expected_packed_width]
+        groups = packed_frame.reshape(height, width // 4, 5).astype(np.uint16)
+
+        b0 = groups[:, :, 0]
+        b1 = groups[:, :, 1]
+        b2 = groups[:, :, 2]
+        b3 = groups[:, :, 3]
+        b4 = groups[:, :, 4]
+
+        p0 = (b0 << 2) | ((b4 >> 0) & 0x03)
+        p1 = (b1 << 2) | ((b4 >> 2) & 0x03)
+        p2 = (b2 << 2) | ((b4 >> 4) & 0x03)
+        p3 = (b3 << 2) | ((b4 >> 6) & 0x03)
+
+        raw16 = np.empty((height, width), dtype=np.uint16)
+        raw16[:, 0::4] = p0
+        raw16[:, 1::4] = p1
+        raw16[:, 2::4] = p2
+        raw16[:, 3::4] = p3
+
+        return raw16
+
+    def extract_bayer_channels(self, raw16: np.ndarray) -> dict:
+        p = self.bayer_pattern
+
+        if p == "GBRG":
+            g1 = raw16[0::2, 0::2]
+            b  = raw16[0::2, 1::2]
+            r  = raw16[1::2, 0::2]
+            g2 = raw16[1::2, 1::2]
+        elif p == "GRBG":
+            g1 = raw16[0::2, 0::2]
+            r  = raw16[0::2, 1::2]
+            b  = raw16[1::2, 0::2]
+            g2 = raw16[1::2, 1::2]
+        elif p == "RGGB":
+            r  = raw16[0::2, 0::2]
+            g1 = raw16[0::2, 1::2]
+            g2 = raw16[1::2, 0::2]
+            b  = raw16[1::2, 1::2]
+        elif p == "BGGR":
+            b  = raw16[0::2, 0::2]
+            g1 = raw16[0::2, 1::2]
+            g2 = raw16[1::2, 0::2]
+            r  = raw16[1::2, 1::2]
+        else:
+            raise ValueError(f"Padrão Bayer não suportado: {p}")
+
+        return {"R": r, "G1": g1, "G2": g2, "B": b}
+
+    def build_training_rgb(
+        self,
+        raw16: np.ndarray,
+        output_dtype: str = "float32",
+        bit_depth: int = 10,
+    ) -> np.ndarray:
+        ch = self.extract_bayer_channels(raw16)
+
+        max_val = float((1 << bit_depth) - 1)
+
+        r = ch["R"].astype(np.float32) / max_val
+        g = ((ch["G1"].astype(np.float32) + ch["G2"].astype(np.float32)) * 0.5) / max_val
+        b = ch["B"].astype(np.float32) / max_val
+
+        chw = np.stack([r, g, b], axis=0).astype(np.float32)
+        chw = np.clip(chw, 0.0, 1.0)
+
+        if output_dtype == "float32":
+            return chw
+
+        if output_dtype == "uint8":
+            return (chw * 255.0).clip(0, 255).astype(np.uint8)
+
+        if output_dtype == "uint16":
+            return (chw * 65535.0).clip(0, 65535).astype(np.uint16)
+
+        raise ValueError(f"output_dtype não suportado: {output_dtype}")

Python/raspi/cam_3/pi/raw_processor_preview.py

@@ -0,0 +1,125 @@
+import cv2
+import numpy as np
+from typing import Optional
+
+
+class RawProcessorPreview:
+    def __init__(self, sensor_width: int, sensor_height: int, bayer_pattern: str = "GBRG"):
+        self.sensor_width = sensor_width
+        self.sensor_height = sensor_height
+        self.bayer_pattern = bayer_pattern.upper()
+
+    def raw16_to_vis8(
+        self, raw16: np.ndarray, 
+        black_level: Optional[int] = None, 
+        white_level: Optional[int] = None, 
+        gamma: float = 2.2, 
+        bit_depth: int = 10
+    ) -> np.ndarray:
+        """
+        Conversão para visualização:
+        - auto-level
+        - gamma
+        """
+        max_val = float((1 << bit_depth) - 1)
+
+        raw = raw16.astype(np.float32)
+
+        if black_level is None:
+            black_level = float(raw.min())
+        if white_level is None:
+            white_level = float(raw.max())
+
+        if white_level <= black_level:
+            norm = raw / max_val
+        else:
+            norm = (raw - black_level) / (white_level - black_level)
+
+        norm = np.clip(norm, 0.0, 1.0)
+
+        if gamma is not None and gamma > 0:
+            norm = np.power(norm, 1.0 / gamma)
+
+        return (norm * 255.0).clip(0, 255).astype(np.uint8)
+
+    def _debayer_code(self):
+        mapping = {
+            # Troque de BayerGB para BayerGR para inverter R e B
+            "GBRG": cv2.COLOR_BayerGR2BGR, 
+            "GRBG": cv2.COLOR_BayerGB2BGR,
+            "RGGB": cv2.COLOR_BayerBG2BGR,
+            "BGGR": cv2.COLOR_BayerRG2BGR,
+        }
+        if self.bayer_pattern not in mapping:
+            raise ValueError(f"Padrão Bayer não suportado: {self.bayer_pattern}")
+        return mapping[self.bayer_pattern]
+
+    def apply_preview_white_balance(self, bgr: np.ndarray, strength: float = 1.0) -> np.ndarray:
+        """
+        Gray-world simples para deixar o preview mais agradável.
+        Não usar no raw de treino.
+        """
+        img = bgr.astype(np.float32)
+
+        mean_b = float(img[:, :, 0].mean())
+        mean_g = float(img[:, :, 1].mean())
+        mean_r = float(img[:, :, 2].mean())
+
+        mean_gray = (mean_b + mean_g + mean_r) / 3.0
+
+        eps = 1e-6
+        gain_b = mean_gray / max(mean_b, eps)
+        gain_g = mean_gray / max(mean_g, eps)
+        gain_r = mean_gray / max(mean_r, eps)
+
+        # strength=1 aplica total, strength=0 não aplica
+        gain_b = 1.0 + (gain_b - 1.0) * strength
+        gain_g = 1.0 + (gain_g - 1.0) * strength
+        gain_r = 1.0 + (gain_r - 1.0) * strength
+
+        img[:, :, 0] *= gain_b
+        img[:, :, 1] *= gain_g
+        img[:, :, 2] *= gain_r
+
+        return np.clip(img, 0, 255).astype(np.uint8)
+
+    def apply_preview_contrast(self, bgr: np.ndarray, alpha: float = 1.08, beta: float = 0.0) -> np.ndarray:
+        """
+        Ajuste leve de contraste/brilho para preview.
+        """
+        out = cv2.convertScaleAbs(bgr, alpha=alpha, beta=beta)
+        return out
+
+    def raw16_to_preview_bgr(
+        self,
+        raw16: np.ndarray,
+        gamma: float = 2.2,
+        wb_strength: float = 0.8,
+        apply_wb: bool = True,
+        apply_contrast: bool = True,
+        bit_depth: int = 10,
+    ) -> np.ndarray:
+        """
+        Pipeline de preview bonito:
+        1. auto-level + gamma no mosaico
+        2. demosaic
+        3. white balance simples
+        4. leve contraste final
+        """
+        vis8 = self.raw16_to_vis8(raw16, gamma=gamma, bit_depth=bit_depth)
+        bgr = cv2.cvtColor(vis8, self._debayer_code())
+
+        if apply_wb:
+            bgr = self.apply_preview_white_balance(bgr, strength=wb_strength)
+
+        if apply_contrast:
+            bgr = self.apply_preview_contrast(bgr, alpha=1.08, beta=0.0)
+
+        return bgr
+
+    def raw16_to_preview_jpg_bytes(self, raw16: np.ndarray, jpeg_quality: int = 95) -> bytes:
+        bgr = self.raw16_to_preview_bgr(raw16)
+        ok, enc = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), int(jpeg_quality)])
+        if not ok:
+            raise RuntimeError("Falha ao codificar preview JPG")
+        return enc.tobytes()

Python/raspi/cam_3/pi/server.py

@@ -0,0 +1,654 @@
+import socket
+import traceback
+import threading
+
+from protocol import decode_message, encode_message
+from state import ModuleState
+
+
+def parse_bool(value):
+    if isinstance(value, bool):
+        return value
+
+    if isinstance(value, (int, float)):
+        return bool(value)
+
+    if isinstance(value, str):
+        s = value.strip().lower()
+        if s in ("1", "true", "yes", "on"):
+            return True
+        if s in ("0", "false", "no", "off"):
+            return False
+
+    raise ValueError("Valor booleano inválido")
+
+
+def parse_frame_type(value):
+    valid = {"RAW_BRUTO", "RGB", "MULTISPEC"}
+    if value not in valid:
+        raise ValueError(f"frame_type inválido: {value}")
+    return value
+
+
+def parse_output_dtype(value):
+    valid = {"uint8", "uint16", "float32"}
+    if value not in valid:
+        raise ValueError(f"output_dtype inválido: {value}")
+    return value
+
+
+def parse_capture_mode(value):
+    valid = {"AUTO", "SINGLE", "DOUBLE", "TRIPLE"}
+    if value not in valid:
+        raise ValueError(f"capture_mode inválido: {value}")
+    return value
+
+
+def parse_bayer_pattern(value):
+    valid = {"GBRG", "GRBG", "RGGB", "BGGR"}
+    if value not in valid:
+        raise ValueError(f"bayer_pattern inválido: {value}")
+    return value
+
+
+class ModuleServer:
+    def __init__(self, host="0.0.0.0", port=5000):
+        self.host = host
+        self.port = port
+        self.state = ModuleState()
+        self.running = False
+        self.lock = threading.RLock()
+
+        from camera_manager import CameraManager
+        from trigger_manager import TriggerManager
+        from frame_service import FrameService
+        from stream_sender import StreamSender
+
+        self.camera = CameraManager(self.state)
+        self.trigger = TriggerManager(
+            pin=self.state.trigger_pin,
+            active_high=self.state.trigger_active_high,
+            pulse_ms=self.state.trigger_pulse_ms
+        )
+        self.frame_service = FrameService(self.state, self.trigger, self.camera)
+        self.stream_sender = StreamSender(self.state, self.frame_service)
+
+    # =========================================================
+    # Helpers internos
+    # =========================================================
+
+    def _mark_reconfigure_needed(self):
+        if hasattr(self.camera, "mark_reconfigure_needed"):
+            self.camera.mark_reconfigure_needed()
+
+    def _is_reconfigure_needed(self):
+        return bool(getattr(self.camera, "_reconfigure_needed", False))
+
+    def _restart_module_if_needed(self):
+        """
+        Reinicia trigger + câmeras se o módulo já estiver inicializado
+        e alguma configuração estrutural tiver mudado.
+        """
+        if not self.state.initialized:
+            return
+
+        if not self._is_reconfigure_needed():
+            return
+
+        if getattr(self.stream_sender, "is_running", False):
+            self.stream_sender.stop()
+
+        self.camera.stop()
+        self.trigger.stop()
+
+        self.trigger.begin()
+        ok = self.camera.begin()
+        if not ok:
+            raise RuntimeError("Falha ao reinicializar câmeras após reconfiguração")
+
+        self.state.initialized = True
+        self.state.streaming = False
+        self.state.status = "ready"
+        self.state.status_detail = None
+        self.state.last_error = None
+
+        if hasattr(self.camera, "_reconfigure_needed"):
+            self.camera._reconfigure_needed = False
+
+    def _get_active_cameras(self):
+        return [cam for cam in self.state.cameras if cam.connected and cam.enabled]
+
+    def _get_primary_camera(self):
+        """
+        Preferência de câmera 'primária':
+        1. RGB
+        2. RE
+        3. NIR
+        4. primeira ativa
+        5. primeira cadastrada
+        """
+        for role in ("rgb", "re", "nir"):
+            cam = self.state.get_active_camera_by_role(role)
+            if cam is not None:
+                return cam
+
+        active = self._get_active_cameras()
+        if active:
+            return active[0]
+
+        if self.state.cameras:
+            return self.state.cameras[0]
+
+        return None
+
+    def _payload_dict(self):
+        payload = self.state.payload
+        return {
+            "payload_format_version": self.state.payload_format_version,
+            "frame_type": self.state.frame_type,
+            "output_dtype": self.state.output_dtype,
+            "output_layout": payload.layout,
+            "output_channels": payload.channels,
+            "output_channel_names": payload.channel_names,
+            "output_width": payload.width,
+            "output_height": payload.height,
+            "payload_sources": payload.sources,
+            "payload_complete": payload.complete,
+        }
+
+    def _source_dict(self):
+        primary = self._get_primary_camera()
+
+        if primary is None:
+            return {
+                "source_camera": None,
+                "source_width": 0,
+                "source_height": 0,
+                "source_bayer_pattern": None,
+                "source_bit_depth": None,
+                "source_cameras": [],
+            }
+
+        source_cameras = []
+        for cam_id in self.state.payload.sources:
+            cam = self.state.get_camera(cam_id)
+            if cam is None:
+                continue
+
+            source_cameras.append({
+                "id": cam.id,
+                "index": cam.index,
+                "role": cam.role,
+                "interface": cam.interface,
+                "width": cam.width,
+                "height": cam.height,
+                "bayer_pattern": cam.bayer_pattern,
+                "bit_depth": cam.bit_depth,
+                "connected": cam.connected,
+                "enabled": cam.enabled,
+                "available": cam.available,
+                "model": cam.model,
+                "serial": cam.serial,
+            })
+
+        return {
+            "source_camera": primary.id,
+            "source_width": primary.width,
+            "source_height": primary.height,
+            "source_bayer_pattern": primary.bayer_pattern,
+            "source_bit_depth": primary.bit_depth,
+            "source_cameras": source_cameras,
+        }
+
+    def _build_config_response(self):
+        return {
+            "ok": True,
+            "module": self.state.module_name,
+            "version": self.state.version,
+            "status": self.state.status,
+            "initialized": self.state.initialized,
+            "streaming": self.state.streaming,
+
+            "fps": self.state.fps,
+            "jpeg_quality": self.state.jpeg_quality,
+
+            "capture_mode": self.state.capture_mode,
+            "detected_mode": self.state.detected_mode,
+
+            "camera_count_detected": self.state.camera_count_detected,
+            "camera_count_active": self.state.camera_count_active,
+            "active_camera_ids": self.state.active_camera_ids,
+
+            "has_re": self.state.has_re,
+            "has_nir": self.state.has_nir,
+            "has_rgb": self.state.has_rgb,
+            "has_multispec_pair": self.state.has_multispec_pair,
+            "has_full_multispec": self.state.has_full_multispec,
+
+            "re_camera_id": self.state.re_camera_id,
+            "nir_camera_id": self.state.nir_camera_id,
+            "rgb_camera_id": self.state.rgb_camera_id,
+
+            "cameras": [cam.to_dict() for cam in self.state.cameras],
+
+            **self._payload_dict(),
+            **self._source_dict(),
+        }
+
+    # =========================================================
+    # Comandos
+    # =========================================================
+
+    def handle_command(self, msg: dict) -> dict:
+        with self.lock:
+            cmd = msg.get("cmd")
+            self.state.last_command = cmd
+
+            try:
+                if cmd == "ping":
+                    return {"ok": True, "reply": "pong"}
+
+                if cmd == "get_status":
+                    return {"ok": True, **self.state.to_dict()}
+
+                if cmd == "get_config":
+                    return self._build_config_response()
+
+                if cmd == "begin":
+                    frame_type = parse_frame_type(msg.get("frame_type", self.state.frame_type))
+                    output_dtype = parse_output_dtype(msg.get("output_dtype", self.state.output_dtype))
+                    capture_mode = parse_capture_mode(msg.get("capture_mode", self.state.capture_mode))
+
+                    self.state.frame_type = frame_type
+                    self.state.output_dtype = output_dtype
+                    self.state.capture_mode = capture_mode
+                    self.state.update_payload_spec()
+
+                    if self.state.initialized:
+                        self._restart_module_if_needed()
+                        return {
+                            "ok": True,
+                            "status": self.state.status,
+                            "initialized": True,
+                            **self._payload_dict(),
+                            **self._source_dict(),
+                        }
+
+                    self.state.status = "initializing"
+                    self.state.status_detail = None
+
+                    self.trigger.begin()
+                    ok = self.camera.begin()
+                    if not ok:
+                        raise RuntimeError("Falha ao inicializar câmeras")
+
+                    self.state.initialized = True
+                    self.state.streaming = False
+                    self.state.status = "ready"
+                    self.state.last_error = None
+
+                    return {
+                        "ok": True,
+                        "status": self.state.status,
+                        "initialized": True,
+                        **self._payload_dict(),
+                        **self._source_dict(),
+                    }
+
+                if cmd == "stop":
+                    self.state.status = "stopping"
+
+                    if getattr(self.stream_sender, "is_running", False):
+                        self.stream_sender.stop()
+
+                    self.camera.stop()
+                    self.trigger.stop()
+
+                    self.state.initialized = False
+                    self.state.streaming = False
+                    self.state.status = "idle"
+                    self.state.status_detail = None
+
+                    return {"ok": True, "status": self.state.status}
+
+                if cmd == "capture_frame":
+                    if not self.state.initialized:
+                        return {"ok": False, "error": "Módulo não inicializado"}
+
+                    self._restart_module_if_needed()
+
+                    data = self.frame_service.capture_frame_base64()
+                    return {"ok": True, **data}
+
+                if cmd == "set_fps":
+                    value = int(msg.get("value"))
+                    if value <= 0 or value > 120:
+                        return {"ok": False, "error": "fps inválido"}
+
+                    self.state.fps = value
+                    self._mark_reconfigure_needed()
+                    return {"ok": True, "fps": self.state.fps}
+
+                if cmd == "set_jpeg_quality":
+                    value = int(msg.get("value"))
+                    if value < 1 or value > 100:
+                        return {"ok": False, "error": "jpeg_quality inválido"}
+
+                    self.state.jpeg_quality = value
+                    return {"ok": True, "jpeg_quality": self.state.jpeg_quality}
+
+                if cmd == "set_frame_type":
+                    frame_type = parse_frame_type(msg.get("value"))
+                    self.state.frame_type = frame_type
+                    self.state.update_payload_spec()
+                    self._mark_reconfigure_needed()
+
+                    return {
+                        "ok": True,
+                        "frame_type": self.state.frame_type,
+                        **self._payload_dict(),
+                    }
+
+                if cmd == "set_output_dtype":
+                    output_dtype = parse_output_dtype(msg.get("value"))
+                    self.state.output_dtype = output_dtype
+                    self.state.update_payload_spec()
+                    self._mark_reconfigure_needed()
+
+                    return {
+                        "ok": True,
+                        "output_dtype": self.state.output_dtype,
+                        **self._payload_dict(),
+                    }
+
+                if cmd == "set_capture_mode":
+                    capture_mode = parse_capture_mode(msg.get("value"))
+                    self.state.capture_mode = capture_mode
+                    self.state.update_payload_spec()
+                    self._mark_reconfigure_needed()
+
+                    return {
+                        "ok": True,
+                        "capture_mode": self.state.capture_mode,
+                        "detected_mode": self.state.detected_mode,
+                        **self._payload_dict(),
+                    }
+
+                if cmd == "set_camera_enabled":
+                    index = int(msg.get("index"))
+                    enabled = parse_bool(msg.get("enabled"))
+                    self.state.set_camera_enabled(index, enabled)
+                    self._mark_reconfigure_needed()
+
+                    cam = self.state.get_camera_by_index(index)
+                    return {
+                        "ok": True,
+                        "camera": cam.to_dict(),
+                        "camera_count_active": self.state.camera_count_active,
+                        "active_camera_ids": self.state.active_camera_ids,
+                        **self._payload_dict(),
+                    }
+
+                if cmd == "set_camera_bayer":
+                    index = int(msg.get("index"))
+                    pattern = parse_bayer_pattern(msg.get("pattern"))
+
+                    cam = self.state.get_camera_by_index(index)
+                    if cam is None:
+                        return {"ok": False, "error": f"Câmera de índice {index} não existe"}
+
+                    cam.bayer_pattern = pattern
+                    self.state.update_payload_spec()
+                    self._mark_reconfigure_needed()
+
+                    return {
+                        "ok": True,
+                        "camera": cam.to_dict(),
+                        **self._source_dict(),
+                    }
+
+                if cmd == "set_camera_resolution":
+                    index = int(msg.get("index"))
+                    width = int(msg.get("width"))
+                    height = int(msg.get("height"))
+
+                    if width <= 0 or height <= 0:
+                        return {"ok": False, "error": "resolução inválida"}
+
+                    cam = self.state.get_camera_by_index(index)
+                    if cam is None:
+                        return {"ok": False, "error": f"Câmera de índice {index} não existe"}
+
+                    cam.width = width
+                    cam.height = height
+                    self.state.update_payload_spec()
+                    self._mark_reconfigure_needed()
+
+                    return {
+                        "ok": True,
+                        "camera": cam.to_dict(),
+                        **self._payload_dict(),
+                        **self._source_dict(),
+                    }
+
+                if cmd == "start_stream":
+                    host = msg.get("host")
+                    port = int(msg.get("port"))
+                    fps = float(msg.get("fps", self.state.fps))
+
+                    if not host:
+                        return {"ok": False, "error": "host obrigatório"}
+                    if port <= 0 or port > 65535:
+                        return {"ok": False, "error": "porta inválida"}
+                    if fps <= 0:
+                        return {"ok": False, "error": "fps inválido"}
+                    if not self.state.initialized:
+                        return {"ok": False, "error": "Módulo não inicializado"}
+
+                    self._restart_module_if_needed()
+
+                    if getattr(self.stream_sender, "is_running", False):
+                        return {
+                            "ok": True,
+                            "streaming": True,
+                            "host": self.state.stream_host,
+                            "port": self.state.stream_port,
+                            "fps": self.state.stream_fps,
+                            **self._payload_dict(),
+                            **self._source_dict(),
+                        }
+
+                    self.stream_sender.start(host, port, fps)
+                    self.state.streaming = True
+                    self.state.stream_host = host
+                    self.state.stream_port = port
+                    self.state.stream_fps = fps
+                    self.state.status = "streaming"
+
+                    return {
+                        "ok": True,
+                        "streaming": True,
+                        "host": host,
+                        "port": port,
+                        "fps": fps,
+                        **self._payload_dict(),
+                        **self._source_dict(),
+                    }
+
+                if cmd == "stop_stream":
+                    if getattr(self.stream_sender, "is_running", False):
+                        self.stream_sender.stop()
+
+                    self.state.streaming = False
+                    self.state.stream_host = None
+                    self.state.stream_port = None
+                    self.state.stream_fps = None
+                    self.state.status = "ready" if self.state.initialized else "idle"
+
+                    return {
+                        "ok": True,
+                        "streaming": False,
+                        "status": self.state.status
+                    }
+
+                if cmd == "set_ae_enable":
+                    self.state.ae_enable = parse_bool(msg.get("value"))
+                    if self.camera.initialized:
+                        self.camera.apply_controls()
+                    return {"ok": True, "ae_enable": self.state.ae_enable}
+
+                if cmd == "set_awb_enable":
+                    self.state.awb_enable = parse_bool(msg.get("value"))
+                    if self.camera.initialized:
+                        self.camera.apply_controls()
+                    return {"ok": True, "awb_enable": self.state.awb_enable}
+
+                if cmd == "set_exposure_time":
+                    value = msg.get("value")
+                    if value is not None:
+                        value = int(value)
+                        if value <= 0:
+                            return {"ok": False, "error": "ExposureTime inválido"}
+
+                    self.state.exposure_time_us = value
+                    if self.camera.initialized:
+                        self.camera.apply_controls()
+                    return {"ok": True, "exposure_time_us": self.state.exposure_time_us}
+
+                if cmd == "set_analogue_gain":
+                    value = msg.get("value")
+                    if value is not None:
+                        value = float(value)
+                        if value <= 0:
+                            return {"ok": False, "error": "AnalogueGain inválido"}
+
+                    self.state.analogue_gain = value
+                    if self.camera.initialized:
+                        self.camera.apply_controls()
+                    return {"ok": True, "analogue_gain": self.state.analogue_gain}
+
+                if cmd == "set_colour_gains":
+                    r_gain = msg.get("r_gain")
+                    b_gain = msg.get("b_gain")
+
+                    if r_gain is None or b_gain is None:
+                        return {"ok": False, "error": "r_gain e b_gain são obrigatórios"}
+
+                    r_gain = float(r_gain)
+                    b_gain = float(b_gain)
+
+                    if r_gain <= 0 or b_gain <= 0:
+                        return {"ok": False, "error": "ColourGains inválidos"}
+
+                    self.state.colour_gains = [r_gain, b_gain]
+                    if self.camera.initialized:
+                        self.camera.apply_controls()
+                    return {"ok": True, "colour_gains": self.state.colour_gains}
+
+                if cmd == "clear_exposure_time":
+                    self.state.exposure_time_us = None
+                    if self.camera.initialized:
+                        self.camera.apply_controls()
+                    return {"ok": True, "exposure_time_us": None}
+
+                if cmd == "clear_analogue_gain":
+                    self.state.analogue_gain = None
+                    if self.camera.initialized:
+                        self.camera.apply_controls()
+                    return {"ok": True, "analogue_gain": None}
+
+                if cmd == "clear_colour_gains":
+                    self.state.colour_gains = None
+                    if self.camera.initialized:
+                        self.camera.apply_controls()
+                    return {"ok": True, "colour_gains": None}
+
+                if cmd == "get_camera_controls":
+                    return {
+                        "ok": True,
+                        "ae_enable": self.state.ae_enable,
+                        "awb_enable": self.state.awb_enable,
+                        "exposure_time_us": self.state.exposure_time_us,
+                        "analogue_gain": self.state.analogue_gain,
+                        "colour_gains": self.state.colour_gains,
+                        "fps": self.state.fps,
+                    }
+
+                if cmd == "get_sensor_modes":
+                    modes = self.camera.get_sensor_modes()
+                    return {"ok": True, "sensor_modes": modes}
+
+                return {"ok": False, "error": f"Comando desconhecido: {cmd}"}
+
+            except Exception as e:
+                self.state.set_error(str(e))
+                return {"ok": False, "error": str(e)}
+
+    # =========================================================
+    # Rede TCP
+    # =========================================================
+
+    def client_thread(self, conn, addr):
+        print(f"[INFO] Cliente conectado: {addr}")
+        buffer = b""
+
+        try:
+            conn.settimeout(1.0)
+
+            while self.running:
+                try:
+                    chunk = conn.recv(4096)
+                except socket.timeout:
+                    continue
+
+                if not chunk:
+                    break
+
+                buffer += chunk
+
+                while b"\n" in buffer:
+                    line, buffer = buffer.split(b"\n", 1)
+                    if not line.strip():
+                        continue
+
+                    try:
+                        msg = decode_message(line.decode("utf-8"))
+                        response = self.handle_command(msg)
+                    except Exception as e:
+                        response = {"ok": False, "error": str(e)}
+
+                    conn.sendall(encode_message(response))
+
+        except Exception as e:
+            print(f"[ERRO] Cliente {addr}: {e}")
+            traceback.print_exc()
+        finally:
+            try:
+                conn.close()
+            except Exception:
+                pass
+            print(f"[INFO] Cliente desconectado: {addr}")
+
+    def start(self):
+        self.running = True
+
+        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as server_socket:
+            server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
+            server_socket.bind((self.host, self.port))
+            server_socket.listen(5)
+            server_socket.settimeout(1.0)
+
+            print(f"[INFO] Servidor ouvindo em {self.host}:{self.port}")
+
+            while self.running:
+                try:
+                    conn, addr = server_socket.accept()
+                except socket.timeout:
+                    continue
+
+                t = threading.Thread(
+                    target=self.client_thread,
+                    args=(conn, addr),
+                    daemon=True
+                )
+                t.start()

Python/raspi/cam_3/pi/state.py

@@ -0,0 +1,621 @@
+from dataclasses import dataclass, field, asdict
+from typing import List, Optional, Dict, Any
+
+
+@dataclass
+class CameraSpec:
+    id: str
+    index: int
+    role: str = "generic"              # re | nir | rgb | generic
+    interface: str = "CSI"             # CSI | USB
+
+    connected: bool = False
+    enabled: bool = True
+    available: bool = False
+
+    width: int = 640
+    height: int = 480
+    bayer_pattern: str = "GBRG"
+    bit_depth: int = 10
+
+    model: Optional[str] = None
+    serial: Optional[str] = None
+
+    # Novos campos
+    device_path: Optional[str] = None   # ex: /dev/video0
+    usb_backend: str = "V4L2"           # V4L2 | DEFAULT
+    preferred: bool = True              # ajuda em resolução de conflitos
+
+    def to_dict(self) -> Dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass
+class PayloadSpec:
+    frame_type: str = "RAW_BRUTO"      # RAW_BRUTO | RGB | MULTISPEC
+    dtype: str = "uint8"               # uint8 | uint16 | float32
+    layout: str = "HW"                 # HW | CHW | MULTI_HW
+    channels: int = 1
+    channel_names: List[str] = field(default_factory=lambda: ["BAYER"])
+    width: int = 640
+    height: int = 480
+    sources: List[str] = field(default_factory=lambda: ["cam2"])
+    complete: bool = False
+
+    def to_dict(self) -> Dict[str, Any]:
+        return asdict(self)
+
+
+class ModuleState:
+    def __init__(self):
+        self.module_name = "multispectral"
+        self.version = "0.3.0"
+        self.payload_format_version = 3
+
+        self.status = "idle"
+        self.status_detail = None
+        self.last_error = None
+        self.last_command = None
+
+        self.initialized = False
+        self.streaming = False
+
+        # Estratégia do módulo
+        # AUTO = decide com base nas câmeras disponíveis
+        # SINGLE = usa apenas uma câmera relevante para o frame_type
+        # DOUBLE = exige a camera RGB + 1 camera CSI
+        # TRIPLE = exige o conjunto completo
+        self.capture_mode = "AUTO"      # AUTO | SINGLE | DOUBLE | TRIPLE
+        self.detected_mode = "NONE"     # NONE | PARTIAL | RGB_ONLY | MS_ONLY | DOUBLE | TRIPLE
+        self.multi_camera_enabled = True
+        self.max_cameras = 3
+
+        # Configuração global base
+        self.fps = 10
+        self.jpeg_quality = 90
+
+        # Frame desejado de saída
+        self.frame_type = "RAW_BRUTO"   # RAW_BRUTO | RGB | MULTISPEC
+        self.output_dtype = "uint8"     # uint8 | uint16 | float32
+
+        # Lista fixa das câmeras do módulo
+        # cam0 = RE (CSI)
+        # cam1 = NIR (CSI)
+        # cam2 = RGB (USB)
+        self.cameras: List[CameraSpec] = [
+            CameraSpec(
+                id="cam0",
+                index=0,
+                role="re",
+                interface="CSI",
+                bayer_pattern="GBRG",
+                bit_depth=10,
+            ),
+            CameraSpec(
+                id="cam1",
+                index=1,
+                role="nir",
+                interface="CSI",
+                bayer_pattern="GBRG",
+                bit_depth=10,
+            ),
+            CameraSpec(
+                id="cam2",
+                index=2,
+                role="rgb",
+                interface="USB",
+                bayer_pattern="GBRG",   # pode ficar por compatibilidade, embora USB RGB não use isso
+                bit_depth=8,            # melhor refletir a realidade da USB
+                device_path="/dev/v4l/by-id/usb-Sonix_Technology_Co.__Ltd._USB_2.0_Camera_SN0001-video-index0",
+                usb_backend="V4L2",
+            ),
+        ]
+
+        # Resumo dinâmico da topologia
+        self.camera_count_detected = 0
+        self.camera_count_active = 0
+        self.active_camera_ids: List[str] = []
+
+        self.re_camera_id = "cam0"
+        self.nir_camera_id = "cam1"
+        self.rgb_camera_id = "cam2"
+
+        self.has_re = False
+        self.has_nir = False
+        self.has_rgb = False
+        self.has_multispec_pair = False
+        self.has_full_multispec = False
+
+        # Spec do payload atual
+        self.payload = PayloadSpec()
+
+        # Trigger
+        # Idealmente aplicado às duas CSI (RE e NIR)
+        self.trigger_enabled = True
+        self.trigger_pin = 18
+        self.trigger_active_high = True
+        self.trigger_pulse_ms = 5.0
+        self.trigger_settle_delay_ms = 0.0
+
+        # Streaming
+        self.stream_host = None
+        self.stream_port = None
+        self.stream_fps = None
+        self.stream_frame_id = 0
+
+        # Codec
+        self.codec_family = "none" # numcodecs
+        self.codec_name = "blosc"
+        self.codec_params = {
+            "cname": "zstd",
+            "clevel": 3,
+            "shuffle": "BITSHUFFLE",
+        }
+
+        # Controle das câmeras
+        self.ae_enable = True
+        self.awb_enable = True
+        self.exposure_time_us = 15000
+        self.analogue_gain = 1.0
+        self.colour_gains = [1.0, 1.0]
+        self.frame_duration_limits = None
+
+        # Inicialização
+        self.refresh_topology()
+        self.update_payload_spec()
+
+    # =========================================================
+    # Helpers de câmera
+    # =========================================================
+
+    def get_camera(self, cam_id: str) -> Optional[CameraSpec]:
+        for cam in self.cameras:
+            if cam.id == cam_id:
+                return cam
+        return None
+
+    def get_camera_by_index(self, index: int) -> Optional[CameraSpec]:
+        for cam in self.cameras:
+            if cam.index == index:
+                return cam
+        return None
+
+    def get_camera_by_role(self, role: str) -> Optional[CameraSpec]:
+        for cam in self.cameras:
+            if cam.role == role:
+                return cam
+        return None
+
+    def get_camera_by_device_path(self, device_path: str) -> Optional[CameraSpec]:
+        for cam in self.cameras:
+            if cam.device_path == device_path:
+                return cam
+        return None
+
+    def get_active_camera_by_role(self, role: str) -> Optional[CameraSpec]:
+        for cam in self.cameras:
+            if cam.role == role and cam.connected and cam.enabled:
+                return cam
+        return None
+
+    def get_enabled_camera_by_role(self, role: str) -> Optional[CameraSpec]:
+        for cam in self.cameras:
+                if cam.role == role and cam.enabled:
+                    return cam
+        return None
+
+    def get_required_camera_ids_for_frame_type(self) -> List[str]:
+        
+        def get_all_enabled_camera_ids():
+            return [cam.id for cam in self.cameras if cam.enabled]
+
+        if self.frame_type == "RGB":
+            cam = get_enabled_camera_by_role("rgb")
+            return [cam.id] if cam else []
+
+        if self.frame_type == "MULTISPEC":
+            ids = []
+            re_cam = get_enabled_camera_by_role("re")
+            nir_cam = get_enabled_camera_by_role("nir")
+            rgb_cam = get_enabled_camera_by_role("rgb")
+
+            if re_cam:
+                ids.append(re_cam.id)
+            if nir_cam:
+                ids.append(nir_cam.id)
+            if rgb_cam:
+                ids.append(rgb_cam.id)
+
+            return ids
+
+        if self.frame_type == "RAW_BRUTO":
+            resolved = self.resolve_capture_mode()
+
+            if resolved == "TRIPLE":
+                return [cam.id for cam in self.cameras if cam.enabled]
+
+            if resolved == "DOUBLE":
+                ids = []
+                rgb_cam = self.get_enabled_camera_by_role("rgb")
+                re_cam = self.get_enabled_camera_by_role("re")
+                nir_cam = self.get_enabled_camera_by_role("nir")
+
+                if rgb_cam:
+                    ids.append(rgb_cam.id)
+
+                if re_cam:
+                    ids.append(re_cam.id)
+                elif nir_cam:
+                    ids.append(nir_cam.id)
+
+                return ids
+
+            if resolved == "SINGLE":
+                for role in ("rgb", "re", "nir"):
+                    cam = self.get_enabled_camera_by_role(role)
+                    if cam:
+                        return [cam.id]
+
+            return []
+
+        return []
+
+    def set_camera_device_path(self, index: int, device_path: Optional[str]) -> None:
+        cam = self.get_camera_by_index(index)
+        if cam is None:
+            raise ValueError(f"Câmera de índice {index} não existe.")
+
+        cam.device_path = device_path
+
+    def set_camera_usb_backend(self, index: int, usb_backend: str) -> None:
+        cam = self.get_camera_by_index(index)
+        if cam is None:
+            raise ValueError(f"Câmera de índice {index} não existe.")
+
+        cam.usb_backend = usb_backend
+
+    # =========================================================
+    # Topologia / câmeras
+    # =========================================================
+
+    def set_camera_connected(
+        self,
+        index: int,
+        connected: bool,
+        *,
+        width: Optional[int] = None,
+        height: Optional[int] = None,
+        bayer_pattern: Optional[str] = None,
+        bit_depth: Optional[int] = None,
+        model: Optional[str] = None,
+        serial: Optional[str] = None,
+    ) -> None:
+        cam = self.get_camera_by_index(index)
+        if cam is None:
+            raise ValueError(f"Câmera de índice {index} não existe.")
+
+        cam.connected = connected
+        cam.available = connected and cam.enabled
+
+        if width is not None:
+            cam.width = width
+        if height is not None:
+            cam.height = height
+        if bayer_pattern is not None:
+            cam.bayer_pattern = bayer_pattern
+        if bit_depth is not None:
+            cam.bit_depth = bit_depth
+        if model is not None:
+            cam.model = model
+        if serial is not None:
+            cam.serial = serial
+
+        self.refresh_topology()
+        self.update_payload_spec()
+
+    def set_camera_enabled(self, index: int, enabled: bool) -> None:
+        cam = self.get_camera_by_index(index)
+        if cam is None:
+            raise ValueError(f"Câmera de índice {index} não existe.")
+
+        cam.enabled = enabled
+        cam.available = cam.connected and cam.enabled
+
+        self.refresh_topology()
+        self.update_payload_spec()
+
+    def refresh_topology(self) -> None:
+        detected = [cam for cam in self.cameras if cam.connected]
+        active = [cam for cam in self.cameras if cam.connected and cam.enabled]
+
+        self.camera_count_detected = len(detected)
+        self.camera_count_active = len(active)
+        self.active_camera_ids = [cam.id for cam in active]
+
+        re_cam = self.get_active_camera_by_role("re")
+        nir_cam = self.get_active_camera_by_role("nir")
+        rgb_cam = self.get_active_camera_by_role("rgb")
+
+        self.has_re = re_cam is not None
+        self.has_nir = nir_cam is not None
+        self.has_rgb = rgb_cam is not None
+        self.has_multispec_pair = self.has_re and self.has_nir
+        self.has_full_multispec = self.has_re and self.has_nir and self.has_rgb
+
+        if self.has_full_multispec and self.multi_camera_enabled:
+            self.detected_mode = "TRIPLE"
+        elif self.has_rgb and (self.has_re or self.has_nir):
+            self.detected_mode = "DOUBLE"
+        elif self.has_multispec_pair and not self.has_rgb:
+            self.detected_mode = "MS_ONLY"
+        elif self.has_rgb and not self.has_multispec_pair:
+            self.detected_mode = "RGB_ONLY"
+        elif self.camera_count_active > 0:
+            self.detected_mode = "PARTIAL"
+        else:
+            self.detected_mode = "NONE"
+
+    def resolve_capture_mode(self) -> str:
+        enabled_re = self.get_enabled_camera_by_role("re") is not None
+        enabled_nir = self.get_enabled_camera_by_role("nir") is not None
+        enabled_rgb = self.get_enabled_camera_by_role("rgb") is not None
+
+        if self.capture_mode == "AUTO":
+            if enabled_rgb and enabled_re and enabled_nir and self.multi_camera_enabled:
+                return "TRIPLE"
+            if enabled_rgb and (enabled_re or enabled_nir):
+                return "DOUBLE"
+            if enabled_rgb or enabled_re or enabled_nir:
+                return "SINGLE"
+            return "NONE"
+
+        if self.capture_mode == "TRIPLE":
+            return "TRIPLE" if (enabled_rgb and enabled_re and enabled_nir and self.multi_camera_enabled) else "NONE"
+
+        if self.capture_mode == "DOUBLE":
+            return "DOUBLE" if (enabled_rgb and (enabled_re or enabled_nir)) else "NONE"
+
+        if self.capture_mode == "SINGLE":
+            return "SINGLE" if (enabled_rgb or enabled_re or enabled_nir) else "NONE"
+
+        return "NONE"
+
+    # =========================================================
+    # Payload
+    # =========================================================
+
+    def update_payload_spec(self) -> None:
+        resolved_mode = self.resolve_capture_mode()
+
+        if resolved_mode == "NONE":
+            self.payload = PayloadSpec(
+                frame_type=self.frame_type,
+                dtype=self.output_dtype,
+                layout="HW",
+                channels=0,
+                channel_names=[],
+                width=0,
+                height=0,
+                sources=[],
+                complete=False,
+            )
+            return
+
+        rgb_cam = self.get_active_camera_by_role("rgb")
+        re_cam = self.get_active_camera_by_role("re")
+        nir_cam = self.get_active_camera_by_role("nir")
+
+        if self.frame_type == "RAW_BRUTO":
+            sources = self.get_required_camera_ids_for_frame_type()
+
+            if len(sources) == 1:
+                cam = self.get_camera(sources[0])
+                self.payload = PayloadSpec(
+                    frame_type="RAW_BRUTO",
+                    dtype=self.output_dtype,
+                    layout="HW",
+                    channels=1,
+                    channel_names=["BAYER"],
+                    width=cam.width if cam else 0,
+                    height=cam.height if cam else 0,
+                    sources=sources,
+                    complete=(cam is not None),
+                )
+                return
+
+            if len(sources) >= 2:
+                # para 3 câmeras usamos MULTI_HW
+                # cada origem será empacotada separadamente
+                ref_cam = self.get_camera(sources[0]) if sources else None
+                self.payload = PayloadSpec(
+                    frame_type="RAW_BRUTO",
+                    dtype=self.output_dtype,
+                    layout="MULTI_HW",
+                    channels=len(sources),
+                    channel_names=[f"BAYER_{cam_id.upper()}" for cam_id in sources],
+                    width=ref_cam.width if ref_cam else 0,
+                    height=ref_cam.height if ref_cam else 0,
+                    sources=sources,
+                    complete=True,
+                )
+                return
+
+            self.payload = PayloadSpec(
+                frame_type="RAW_BRUTO",
+                dtype=self.output_dtype,
+                layout="HW",
+                channels=0,
+                channel_names=[],
+                width=0,
+                height=0,
+                sources=[],
+                complete=False,
+            )
+            return
+
+        if self.frame_type == "RGB":
+            if rgb_cam is None:
+                self.payload = PayloadSpec(
+                    frame_type="RGB",
+                    dtype=self.output_dtype,
+                    layout="CHW",
+                    channels=0,
+                    channel_names=[],
+                    width=0,
+                    height=0,
+                    sources=[],
+                    complete=False,
+                )
+                return
+
+            self.payload = PayloadSpec(
+                frame_type="RGB",
+                dtype=self.output_dtype,
+                layout="CHW",
+                channels=3,
+                channel_names=["R", "G", "B"],
+                width=rgb_cam.width // 2,
+                height=rgb_cam.height // 2,
+                sources=[rgb_cam.id],
+                complete=True,
+            )
+            return
+
+        if self.frame_type == "MULTISPEC":
+            resolved = self.resolve_capture_mode()
+
+            if resolved == "TRIPLE" and rgb_cam and re_cam and nir_cam:
+                out_w = min(rgb_cam.width, re_cam.width // 2, nir_cam.width // 2)
+                out_h = min(rgb_cam.height, re_cam.height, nir_cam.height)
+
+                self.payload = PayloadSpec(
+                    frame_type="MULTISPEC",
+                    dtype=self.output_dtype,
+                    layout="CHW",
+                    channels=5,
+                    channel_names=["R", "G", "B", "RE", "NIR"],
+                    width=out_w,
+                    height=out_h,
+                    sources=[rgb_cam.id, re_cam.id, nir_cam.id],
+                    complete=True,
+                )
+                return
+
+            if resolved == "DOUBLE" and rgb_cam and (re_cam or nir_cam):
+                ms_cam = re_cam if re_cam is not None else nir_cam
+                ms_name = "RE" if re_cam is not None else "NIR"
+
+                out_w = min(rgb_cam.width, ms_cam.width // 2)
+                out_h = min(rgb_cam.height, ms_cam.height)
+
+                self.payload = PayloadSpec(
+                    frame_type="MULTISPEC",
+                    dtype=self.output_dtype,
+                    layout="CHW",
+                    channels=4,
+                    channel_names=["R", "G", "B", ms_name],
+                    width=out_w,
+                    height=out_h,
+                    sources=[rgb_cam.id, ms_cam.id],
+                    complete=True,
+                )
+                return
+
+            self.payload = PayloadSpec(
+                frame_type="MULTISPEC",
+                dtype=self.output_dtype,
+                layout="CHW",
+                channels=0,
+                channel_names=[],
+                width=0,
+                height=0,
+                sources=[],
+                complete=False,
+            )
+            return
+
+        raise ValueError(f"frame_type inválido: {self.frame_type}")
+
+    # =========================================================
+    # Estado / erro
+    # =========================================================
+
+    def clear_error(self) -> None:
+        self.last_error = None
+        if self.status == "error":
+            self.status = "idle"
+            self.status_detail = None
+
+    def set_error(self, error: str) -> None:
+        self.last_error = str(error)
+        self.status = "error"
+        self.status_detail = str(error)
+
+    # =========================================================
+    # Serialização
+    # =========================================================
+
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            "module": self.module_name,
+            "version": self.version,
+
+            "status": self.status,
+            "status_detail": self.status_detail,
+            "last_error": self.last_error,
+            "last_command": self.last_command,
+
+            "initialized": self.initialized,
+            "streaming": self.streaming,
+
+            "capture_mode": self.capture_mode,
+            "detected_mode": self.detected_mode,
+            "multi_camera_enabled": self.multi_camera_enabled,
+            "max_cameras": self.max_cameras,
+
+            "camera_count_detected": self.camera_count_detected,
+            "camera_count_active": self.camera_count_active,
+            "active_camera_ids": self.active_camera_ids,
+
+            "has_re": self.has_re,
+            "has_nir": self.has_nir,
+            "has_rgb": self.has_rgb,
+            "has_multispec_pair": self.has_multispec_pair,
+            "has_full_multispec": self.has_full_multispec,
+
+            "re_camera_id": self.re_camera_id,
+            "nir_camera_id": self.nir_camera_id,
+            "rgb_camera_id": self.rgb_camera_id,
+
+            "cameras": [cam.to_dict() for cam in self.cameras],
+
+            "fps": self.fps,
+            "jpeg_quality": self.jpeg_quality,
+
+            "trigger_enabled": self.trigger_enabled,
+            "trigger_pin": self.trigger_pin,
+            "trigger_active_high": self.trigger_active_high,
+            "trigger_pulse_ms": self.trigger_pulse_ms,
+            "trigger_settle_delay_ms": self.trigger_settle_delay_ms,
+
+            "stream_host": self.stream_host,
+            "stream_port": self.stream_port,
+            "stream_fps": self.stream_fps,
+            "stream_frame_id": self.stream_frame_id,
+
+            "codec_family": self.codec_family,
+            "codec_name": self.codec_name,
+            "codec_params": self.codec_params,
+
+            "ae_enable": self.ae_enable,
+            "awb_enable": self.awb_enable,
+            "exposure_time_us": self.exposure_time_us,
+            "analogue_gain": self.analogue_gain,
+            "colour_gains": self.colour_gains,
+            "frame_duration_limits": self.frame_duration_limits,
+
+            "payload_format_version": self.payload_format_version,
+            "frame_type": self.frame_type,
+            "output_dtype": self.output_dtype,
+            "payload": self.payload.to_dict(),
+        }

Python/raspi/cam_3/pi/stream_sender.py

@@ -0,0 +1,469 @@
+import json
+import socket
+import threading
+import time
+import queue
+from numcodecs import Blosc
+
+
+class StreamSender:
+    _QUEUE_SENTINEL = object()
+
+    def __init__(self, state, frame_service):
+        self.state = state
+        self.frame_service = frame_service
+
+        self._lock = threading.RLock()
+        self._stop_event = threading.Event()
+
+        self._sock = None
+        self._thread_capture = None
+        self._thread_send = None
+
+        self._queue = queue.Queue(maxsize=2)
+
+        self._codec = None
+        self._codec_signature = None
+
+        self._t_json_pack = 0.0
+        self._t_send_header = 0.0
+        self._t_send_payload = 0.0
+
+        self._frames_dropped = 0
+        self._capture_errors = 0
+        self._send_errors = 0
+        self._last_sent_capture_signature = None
+
+    @property
+    def is_running(self):
+        return not self._stop_event.is_set() and (
+            self._thread_capture is not None or self._thread_send is not None
+        )
+
+    # =========================================================
+    # Lifecycle
+    # =========================================================
+
+    def start(self, host: str, port: int, fps: float):
+        with self._lock:
+            if self.is_running:
+                raise RuntimeError("Stream já está em execução")
+
+            if not self.state.initialized:
+                raise RuntimeError("Módulo não inicializado")
+
+            self._stop_event.clear()
+            self._clear_queue()
+
+            self._t_json_pack = 0.0
+            self._t_send_header = 0.0
+            self._t_send_payload = 0.0
+            self._frames_dropped = 0
+            self._capture_errors = 0
+            self._send_errors = 0
+
+            self.state.streaming = True
+            self.state.stream_host = host
+            self.state.stream_port = port
+            self.state.stream_fps = fps
+            self._last_sent_capture_signature = None
+
+            self._thread_capture = threading.Thread(
+                target=self._worker_capture,
+                args=(fps,),
+                daemon=True
+            )
+            self._thread_send = threading.Thread(
+                target=self._worker_send,
+                args=(host, port),
+                daemon=True
+            )
+
+            self._thread_capture.start()
+            self._thread_send.start()
+
+    def stop(self):
+        with self._lock:
+            self._stop_event.set()
+
+            try:
+                self._queue.put_nowait(self._QUEUE_SENTINEL)
+            except queue.Full:
+                try:
+                    self._queue.get_nowait()
+                except queue.Empty:
+                    pass
+                try:
+                    self._queue.put_nowait(self._QUEUE_SENTINEL)
+                except queue.Full:
+                    pass
+
+            sock = self._sock
+            self._sock = None
+
+        if sock is not None:
+            try:
+                sock.shutdown(socket.SHUT_RDWR)
+            except Exception:
+                pass
+            try:
+                sock.close()
+            except Exception:
+                pass
+
+        if self._thread_capture is not None:
+            self._thread_capture.join(timeout=2.0)
+            self._thread_capture = None
+
+        if self._thread_send is not None:
+            self._thread_send.join(timeout=2.0)
+            self._thread_send = None
+
+        self._clear_queue()
+
+        self.state.streaming = False
+        self.state.stream_host = None
+        self.state.stream_port = None
+        self.state.stream_fps = None
+
+    def _clear_queue(self):
+        while not self._queue.empty():
+            try:
+                self._queue.get_nowait()
+            except queue.Empty:
+                break
+
+    # =========================================================
+    # Codec
+    # =========================================================
+
+    def _normalize_shuffle(self, shuffle_value):
+        if isinstance(shuffle_value, int):
+            return shuffle_value
+
+        mapping = {
+            "NOSHUFFLE": Blosc.NOSHUFFLE,
+            "SHUFFLE": Blosc.SHUFFLE,
+            "BITSHUFFLE": Blosc.BITSHUFFLE,
+        }
+
+        key = str(shuffle_value).upper()
+        if key not in mapping:
+            raise ValueError(f"shuffle inválido: {shuffle_value}")
+
+        return mapping[key]
+
+    def _build_codec_from_state(self):
+        family = self.state.codec_family
+        name = self.state.codec_name
+        params = dict(self.state.codec_params)
+
+        if family == "none":
+            return None
+
+        if family != "numcodecs":
+            raise ValueError(f"Família de codec não suportada: {family}")
+
+        if name == "blosc":
+            params["shuffle"] = self._normalize_shuffle(params.get("shuffle", "SHUFFLE"))
+            return Blosc(**params)
+
+        raise ValueError(f"Codec numcodecs não suportado: {name}")
+
+    def _get_codec_signature_from_state(self):
+        return (
+            self.state.codec_family,
+            self.state.codec_name,
+            tuple(sorted(self.state.codec_params.items()))
+        )
+
+    def _ensure_codec(self):
+        sig = self._get_codec_signature_from_state()
+        if self._codec is None or self._codec_signature != sig:
+            self._codec = self._build_codec_from_state()
+            self._codec_signature = sig
+
+    def _compress(self, frame_bytes: bytes) -> bytes:
+        self._ensure_codec()
+
+        if self.state.codec_family == "none":
+            return frame_bytes
+
+        return self._codec.encode(frame_bytes)
+
+    # =========================================================
+    # Packet helpers
+    # =========================================================
+
+    def _send_packet(self, sock: socket.socket, header: dict, payload: bytes):
+        t0 = time.perf_counter()
+        header_bytes = json.dumps(header, separators=(",", ":")).encode("utf-8")
+        t1 = time.perf_counter()
+
+        sock.sendall(len(header_bytes).to_bytes(4, "big"))
+        sock.sendall(header_bytes)
+        sock.sendall(len(payload).to_bytes(4, "big"))
+        t2 = time.perf_counter()
+
+        sock.sendall(payload)
+        t3 = time.perf_counter()
+
+        self._t_json_pack = t1 - t0
+        self._t_send_header = t2 - t1
+        self._t_send_payload = t3 - t2
+
+    def _build_capture_signature(self, meta):
+        camera_frames = meta.get("camera_frames", {})
+        if not camera_frames:
+            return None
+
+        items = []
+        for cam_id in sorted(camera_frames.keys()):
+            items.append((cam_id, camera_frames[cam_id].get("camera_frame_id")))
+        return tuple(items)
+
+    def _describe_single_array(self, frame, meta):
+        return {
+            "multi_payload": False,
+            "payload_kind": "single_array",
+            "payload_parts": [
+                {
+                    "kind": "single_array",
+                    "size_raw": int(frame.nbytes),
+                    "dtype": str(frame.dtype),
+                    "shape": list(frame.shape),
+                    "layout": meta.get("output_layout"),
+                    "channel_names": meta.get("output_channel_names"),
+                }
+            ],
+        }
+
+    def _describe_multi_array_part(self, cam_id, arr, cam_meta):
+        return {
+            "camera_id": cam_id,
+            "size_raw": int(arr.nbytes),
+            "dtype": str(arr.dtype),
+            "shape": list(arr.shape),
+            "width": cam_meta.get("width"),
+            "height": cam_meta.get("height"),
+            "channels": cam_meta.get("channels"),
+            "role": cam_meta.get("role"),
+            "interface": cam_meta.get("interface"),
+        }
+
+    def _serialize_frame_payload(self, frame, meta):
+        """
+        Para array único:
+            payload = bytes diretos do array
+        Para dict de arrays:
+            payload = repetição de:
+                [4 bytes tamanho][bytes da parte]
+        """
+        if not isinstance(frame, dict):
+            frame_bytes = frame.tobytes()
+            payload_meta = self._describe_single_array(frame, meta)
+            return frame_bytes, payload_meta
+
+        payload = bytearray()
+        payload_parts = []
+
+        camera_frames_meta = meta.get("camera_frames", {})
+
+        for cam_id in meta.get("payload_sources", list(frame.keys())):
+            arr = frame[cam_id]
+            part_bytes = arr.tobytes()
+
+            payload.extend(len(part_bytes).to_bytes(4, "big"))
+            payload.extend(part_bytes)
+
+            payload_parts.append(
+                self._describe_multi_array_part(
+                    cam_id,
+                    arr,
+                    camera_frames_meta.get(cam_id, {})
+                )
+            )
+
+        payload_meta = {
+            "multi_payload": True,
+            "payload_kind": "multi_array",
+            "payload_parts": payload_parts,
+        }
+        return bytes(payload), payload_meta
+
+    def _build_stream_header(self, meta, raw_payload, comp_bytes, payload_meta, dt_bytes, dt_comp, dt_frame_period):
+        codec_name = None if self.state.codec_family == "none" else self.state.codec_name
+        codec_params = {} if self.state.codec_family == "none" else dict(self.state.codec_params)
+
+        header = {
+            "frame_id": meta.get("frame_id"),
+
+            "module": self.state.module_name,
+            "module_version": self.state.version,
+
+            "frame_type": meta.get("frame_type"),
+            "payload_format_version": meta.get("payload_format_version"),
+            "capture_mode_resolved": meta.get("capture_mode_resolved"),
+
+            "output_dtype": meta.get("output_dtype"),
+            "output_layout": meta.get("output_layout"),
+            "output_channels": meta.get("output_channels"),
+            "output_channel_names": meta.get("output_channel_names"),
+            "output_width": meta.get("output_width"),
+            "output_height": meta.get("output_height"),
+
+            "payload_sources": meta.get("payload_sources"),
+            "camera_frames": meta.get("camera_frames"),
+
+            "codec_family": self.state.codec_family,
+            "codec_name": codec_name,
+            "codec_params": codec_params,
+
+            "payload_size_raw": len(raw_payload),
+            "payload_size_comp": len(comp_bytes),
+
+            "dt_frame_period": dt_frame_period,
+            "dt_bytes": dt_bytes,
+            "dt_comp": dt_comp,
+
+            "dt_trigger": meta.get("dt_trigger"),
+            "dt_settle": meta.get("dt_settle"),
+            "dt_capture": meta.get("dt_capture"),
+            "dt_process": meta.get("dt_process"),
+            "dt_total_pi": meta.get("dt_total_pi"),
+
+            "ts_pi": meta.get("ts_pi"),
+            "ts_pi_monotonic": meta.get("ts_pi_monotonic"),
+
+            **payload_meta,
+        }
+
+        # carrega o restante do meta sem sobrescrever campos já consolidados
+        reserved = set(header.keys())
+        for k, v in meta.items():
+            if k not in reserved:
+                header[k] = v
+
+        return header
+
+    # =========================================================
+    # Workers
+    # =========================================================
+
+    def _worker_capture(self, fps: float):
+        frame_interval = 1.0 / fps if fps > 0 else 0.0
+        next_deadline = time.perf_counter()
+        last_frame_ts = None
+
+        while not self._stop_event.is_set():
+            try:
+                frame, meta = self.frame_service.capture_frame_raw()
+            except Exception as e:
+                self._capture_errors += 1
+                print(f"[WARN] Capture falhou: {e}")
+                time.sleep(0.05)
+                continue
+
+            if frame is None:
+                time.sleep(0.01)
+                continue
+
+            capture_signature = self._build_capture_signature(meta)
+            if capture_signature is not None and capture_signature == self._last_sent_capture_signature:
+                time.sleep(0.001)
+                continue
+
+            t_frame_ready = time.perf_counter()
+            dt_frame_period = 0.0 if last_frame_ts is None else (t_frame_ready - last_frame_ts)
+            last_frame_ts = t_frame_ready
+
+            t_bytes0 = time.perf_counter()
+            raw_payload, payload_meta = self._serialize_frame_payload(frame, meta)
+            t_bytes1 = time.perf_counter()
+
+            t_comp0 = time.perf_counter()
+            comp_bytes = self._compress(raw_payload)
+            t_comp1 = time.perf_counter()
+
+            header = self._build_stream_header(
+                meta=meta,
+                raw_payload=raw_payload,
+                comp_bytes=comp_bytes,
+                payload_meta=payload_meta,
+                dt_bytes=(t_bytes1 - t_bytes0),
+                dt_comp=(t_comp1 - t_comp0),
+                dt_frame_period=dt_frame_period,
+            )
+
+            queued = False
+            try:
+                self._queue.put_nowait((header, comp_bytes))
+                queued = True
+            except queue.Full:
+                self._frames_dropped += 1
+                try:
+                    self._queue.get_nowait()
+                except queue.Empty:
+                    pass
+                try:
+                    self._queue.put_nowait((header, comp_bytes))
+                    queued = True
+                except queue.Full:
+                    self._frames_dropped += 1
+
+            if queued:
+                self._last_sent_capture_signature = capture_signature
+
+            if frame_interval > 0:
+                next_deadline += frame_interval
+                now = time.perf_counter()
+
+                if next_deadline < now - frame_interval:
+                    next_deadline = now
+
+                sleep_time = next_deadline - now
+                if sleep_time > 0:
+                    time.sleep(sleep_time)
+
+    def _worker_send(self, host: str, port: int):
+        try:
+            with socket.create_connection((host, port), timeout=5) as sock:
+                sock.settimeout(10)
+                with self._lock:
+                    self._sock = sock
+
+                while not self._stop_event.is_set():
+                    try:
+                        item = self._queue.get(timeout=0.2)
+                    except queue.Empty:
+                        continue
+
+                    if item is self._QUEUE_SENTINEL:
+                        break
+
+                    header, payload = item
+
+                    header["dt_pack_prev"] = self._t_json_pack
+                    header["dt_send_header_prev"] = self._t_send_header
+                    header["dt_send_payload_prev"] = self._t_send_payload
+                    header["stream_drops"] = self._frames_dropped
+                    header["capture_errors"] = self._capture_errors
+                    header["send_errors"] = self._send_errors
+
+                    self._send_packet(sock, header, payload)
+                    self.state.stream_frame_id = header["frame_id"]
+
+        except Exception as e:
+            self._send_errors += 1
+            if not self._stop_event.is_set():
+                print(f"[WARN] StreamSender encerrado com erro: {e}")
+        finally:
+            with self._lock:
+                self._sock = None
+
+            self.state.streaming = False
+            self.state.stream_host = None
+            self.state.stream_port = None
+            self.state.stream_fps = None
+
+            self._stop_event.set()

Python/raspi/cam_3/pi/trigger_manager.py

@@ -0,0 +1,74 @@
+import time
+import threading
+import RPi.GPIO as GPIO
+
+
+class TriggerManager:
+    def __init__(self, pin: int, active_high: bool = True, pulse_ms: float = 5.0):
+        if pin is None or int(pin) < 0:
+            raise ValueError("Pin inválido")
+
+        pulse_ms = float(pulse_ms)
+        if pulse_ms <= 0:
+            raise ValueError("pulse_ms deve ser maior que zero")
+
+        self.pin = int(pin)
+        self.active_high = bool(active_high)
+        self.pulse_ms = pulse_ms
+        self.initialized = False
+
+        self._lock = threading.RLock()
+        self._active_level = GPIO.HIGH if self.active_high else GPIO.LOW
+        self._idle_level = GPIO.LOW if self.active_high else GPIO.HIGH
+
+    def begin(self):
+        with self._lock:
+            if self.initialized:
+                return True
+
+            try:
+                GPIO.setmode(GPIO.BCM)
+                GPIO.setwarnings(False)
+                GPIO.setup(self.pin, GPIO.OUT)
+                GPIO.output(self.pin, self._idle_level)
+            except Exception as e:
+                raise RuntimeError(f"Falha ao inicializar trigger GPIO {self.pin}: {e}") from e
+
+            self.initialized = True
+            return True
+
+    def stop(self):
+        with self._lock:
+            if not self.initialized:
+                return True
+
+            try:
+                GPIO.output(self.pin, self._idle_level)
+            except Exception:
+                pass
+
+            try:
+                GPIO.cleanup(self.pin)
+            except Exception:
+                pass
+
+            self.initialized = False
+            return True
+
+    def pulse(self):
+        with self._lock:
+            if not self.initialized:
+                raise RuntimeError("TriggerManager não inicializado")
+
+            try:
+                GPIO.output(self.pin, self._active_level)
+                time.sleep(self.pulse_ms / 1000.0)
+            except Exception as e:
+                raise RuntimeError(f"Falha ao gerar pulso no GPIO {self.pin}: {e}") from e
+            finally:
+                try:
+                    GPIO.output(self.pin, self._idle_level)
+                except Exception:
+                    pass
+
+            return True

Python/raspi/cam_3/stream_receiver.py

@@ -0,0 +1,324 @@
+import json
+import socket
+import threading
+import time
+from numcodecs import Blosc
+import numpy as np
+
+
+class StreamReceiver:
+    def __init__(self, host="0.0.0.0", port=6001):
+        self.host = host
+        self.port = port
+
+        self._server_sock = None
+        self._client_sock = None
+        self._thread = None
+        self._running = False
+
+        self.last_frame = None
+        self.last_meta = None
+        self.last_receive_ts = None
+
+        self._codec = None
+        self._codec_signature = None
+
+    @property
+    def is_running(self):
+        return self._running
+
+    # =========================================================
+    # Lifecycle
+    # =========================================================
+
+    def start(self):
+        if self._running:
+            return
+
+        self._running = True
+        self._thread = threading.Thread(target=self._worker, daemon=True)
+        self._thread.start()
+
+    def stop(self):
+        self._running = False
+
+        try:
+            if self._client_sock:
+                self._client_sock.close()
+        except Exception:
+            pass
+
+        try:
+            if self._server_sock:
+                self._server_sock.close()
+        except Exception:
+            pass
+
+        self._client_sock = None
+        self._server_sock = None
+
+    # =========================================================
+    # Socket helpers
+    # =========================================================
+
+    def _recv_exact(self, sock: socket.socket, n: int) -> bytes:
+        chunks = []
+        remaining = n
+
+        while remaining > 0:
+            chunk = sock.recv(remaining)
+            if not chunk:
+                raise ConnectionError("Conexão encerrada durante recv")
+            chunks.append(chunk)
+            remaining -= len(chunk)
+
+        return b"".join(chunks)
+
+    # =========================================================
+    # Worker principal
+    # =========================================================
+
+    def _worker(self):
+        try:
+            with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as server:
+                server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
+                server.bind((self.host, self.port))
+                server.listen(1)
+                server.settimeout(1.0)
+
+                self._server_sock = server
+                print(f"[INFO] StreamReceiver ouvindo em {self.host}:{self.port}")
+
+                while self._running:
+                    try:
+                        client, addr = server.accept()
+                    except socket.timeout:
+                        continue
+
+                    print(f"[INFO] StreamReceiver conectado por {addr}")
+                    self._client_sock = client
+
+                    with client:
+                        while self._running:
+                            header_len = int.from_bytes(self._recv_exact(client, 4), "big")
+                            header_bytes = self._recv_exact(client, header_len)
+                            header = json.loads(header_bytes.decode("utf-8"))
+
+                            payload_len = int.from_bytes(self._recv_exact(client, 4), "big")
+                            payload_comp = self._recv_exact(client, payload_len)
+
+                            self._ensure_codec(header)
+                            if header.get("codec_family") == "none":
+                                payload = payload_comp
+                            else:
+                                payload = self._codec.decode(payload_comp)
+
+                            expected = int(header["payload_size_raw"])
+                            if len(payload) != expected:
+                                raise ValueError(
+                                    f"Tamanho descomprimido inválido: {len(payload)} != {expected}"
+                                )
+
+                            payload_kind = header.get("payload_kind")
+                            if header.get("multi_payload", False) or payload_kind == "multi_array":
+                                frame = self._decode_multi_payload(payload, header)
+                            else:
+                                frame = self._decode_single_payload(payload, header)
+
+                            self.last_frame = frame
+                            self.last_meta = header
+                            self.last_receive_ts = time.perf_counter()
+
+                    print("[INFO] StreamReceiver cliente desconectado")
+                    self._client_sock = None
+
+        except Exception as e:
+            print(f"[WARN] StreamReceiver encerrado com erro: {e}")
+
+        finally:
+            self._running = False
+            self._client_sock = None
+            self._server_sock = None
+
+    # =========================================================
+    # Decode helpers
+    # =========================================================
+
+    def _numpy_dtype_from_string(self, dtype_str: str):
+        mapping = {
+            "uint8": np.uint8,
+            "uint16": np.uint16,
+            "float32": np.float32,
+        }
+
+        if dtype_str not in mapping:
+            raise RuntimeError(f"dtype não suportado: {dtype_str}")
+
+        return mapping[dtype_str]
+
+    def _numpy_dtype_from_header(self, header: dict):
+        dtype_str = header.get("dtype") or header.get("output_dtype") or "uint8"
+
+        if dtype_str == "multi":
+            # fallback conservador para protocolos mais antigos
+            return np.uint16
+
+        return self._numpy_dtype_from_string(dtype_str)
+
+    def _reshape_from_shape(self, payload: bytes, dtype_str: str, shape):
+        dtype = self._numpy_dtype_from_string(dtype_str)
+        arr = np.frombuffer(payload, dtype=dtype)
+        return arr.reshape(tuple(shape))
+
+    def _reshape_from_layout(self, payload: bytes, dtype_str: str, layout: str, width: int, height: int, channels: int):
+        dtype = self._numpy_dtype_from_string(dtype_str)
+        arr = np.frombuffer(payload, dtype=dtype)
+
+        if layout == "HW":
+            return arr.reshape(height, width)
+
+        if layout == "CHW":
+            return arr.reshape(channels, height, width)
+
+        if layout == "HWC":
+            return arr.reshape(height, width, channels)
+
+        raise RuntimeError(f"Layout não suportado: {layout}")
+
+    def _decode_single_payload(self, payload: bytes, header: dict):
+        payload_parts = header.get("payload_parts", []) or []
+        first_part = payload_parts[0] if payload_parts else {}
+
+        dtype_str = first_part.get("dtype") or header.get("dtype") or header.get("output_dtype") or "uint8"
+        shape = first_part.get("shape")
+
+        if shape:
+            return self._reshape_from_shape(payload, dtype_str, shape)
+
+        height = int(header.get("output_height", header.get("height")))
+        width = int(header.get("output_width", header.get("width")))
+        channels = int(header.get("output_channels", header.get("channels", 1)))
+        layout = header.get("output_layout", "HWC")
+
+        return self._reshape_from_layout(
+            payload=payload,
+            dtype_str=dtype_str,
+            layout=layout,
+            width=width,
+            height=height,
+            channels=channels,
+        )
+
+    def _decode_multi_payload(self, payload: bytes, header: dict):
+        payload_parts = header.get("payload_parts", []) or []
+        camera_frames = header.get("camera_frames", {}) or {}
+
+        frames = {}
+        offset = 0
+
+        for part in payload_parts:
+            cam_id = part.get("camera_id")
+            if not cam_id:
+                raise RuntimeError("payload_parts sem camera_id")
+
+            if offset + 4 > len(payload):
+                raise RuntimeError("Payload multi truncado ao ler tamanho da parte")
+
+            part_size = int.from_bytes(payload[offset:offset + 4], "big")
+            offset += 4
+
+            if offset + part_size > len(payload):
+                raise RuntimeError(f"Payload multi truncado ao ler dados de {cam_id}")
+
+            part_bytes = payload[offset:offset + part_size]
+            offset += part_size
+
+            cam_meta = camera_frames.get(cam_id, {})
+
+            dtype_str = part.get("dtype") or header.get("dtype") or header.get("output_dtype")
+            shape = part.get("shape")
+
+            if dtype_str == "multi" or dtype_str is None:
+                channels = int(part.get("channels", cam_meta.get("channels", 1)))
+                dtype_str = "uint8" if channels > 1 else "uint16"
+
+            if shape:
+                frame = self._reshape_from_shape(part_bytes, dtype_str, shape)
+            else:
+                width = int(part.get("width", cam_meta.get("width", 0)))
+                height = int(part.get("height", cam_meta.get("height", 0)))
+                channels = int(part.get("channels", cam_meta.get("channels", 1)))
+
+                layout = "HWC" if channels > 1 else "HW"
+
+                frame = self._reshape_from_layout(
+                    payload=part_bytes,
+                    dtype_str=dtype_str,
+                    layout=layout,
+                    width=width,
+                    height=height,
+                    channels=channels,
+                )
+
+            frames[cam_id] = frame
+
+        if offset != len(payload):
+            raise RuntimeError(
+                f"Payload multi com bytes sobrando: consumidos={offset}, total={len(payload)}"
+            )
+
+        return frames
+
+    # =========================================================
+    # Codec
+    # =========================================================
+
+    def _normalize_shuffle(self, shuffle_value):
+        if isinstance(shuffle_value, int):
+            return shuffle_value
+
+        mapping = {
+            "NOSHUFFLE": Blosc.NOSHUFFLE,
+            "SHUFFLE": Blosc.SHUFFLE,
+            "BITSHUFFLE": Blosc.BITSHUFFLE,
+        }
+
+        key = str(shuffle_value).upper()
+        if key not in mapping:
+            raise ValueError(f"shuffle inválido: {shuffle_value}")
+
+        return mapping[key]
+
+    def _build_codec_from_header(self, header: dict):
+        family = header.get("codec_family")
+        name = header.get("codec_name")
+        params = dict(header.get("codec_params", {}))
+
+        if family != "numcodecs":
+            raise ValueError(f"Família de codec não suportada: {family}")
+
+        if name == "blosc":
+            params["shuffle"] = self._normalize_shuffle(params.get("shuffle", "SHUFFLE"))
+            return Blosc(**params)
+
+        raise ValueError(f"Codec numcodecs não suportado: {name}")
+
+    def _get_codec_signature_from_header(self, header: dict):
+        return (
+            header.get("codec_family"),
+            header.get("codec_name"),
+            tuple(sorted(dict(header.get("codec_params", {})).items()))
+        )
+
+    def _ensure_codec(self, header: dict):
+        family = header.get("codec_family")
+
+        if family == "none":
+            self._codec = None
+            self._codec_signature = ("none", None, ())
+            return
+
+        sig = self._get_codec_signature_from_header(header)
+        if self._codec is None or self._codec_signature != sig:
+            self._codec = self._build_codec_from_header(header)
+            self._codec_signature = sig

Python/raspi/check_saved_files.py

@@ -0,0 +1,541 @@
+import os
+import json
+import argparse
+from pathlib import Path
+
+import cv2
+import numpy as np
+
+from cam_2.pi.raw_processor_core import RawProcessorCore
+from cam_2.pi.raw_processor_preview import RawProcessorPreview
+
+
+def load_json(path: Path) -> dict:
+    with open(path, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+
+def normalize_float01_to_bgr(img_float: np.ndarray) -> np.ndarray:
+    """
+    Recebe RGB float32 [0..1] em HWC e devolve BGR uint8.
+    """
+    rgb_u8 = np.clip(img_float * 255.0, 0, 255).astype(np.uint8)
+    return cv2.cvtColor(rgb_u8, cv2.COLOR_RGB2BGR)
+
+
+def chw_to_hwc(arr: np.ndarray) -> np.ndarray:
+    if arr.ndim != 3:
+        raise ValueError(f"Esperado CHW 3D, recebido shape={arr.shape}")
+    return np.transpose(arr, (1, 2, 0))
+
+
+def build_visual_from_saved_payload(payload_path: Path, meta: dict, cam_id: str | None = None) -> tuple[np.ndarray, str]:
+    """
+    Retorna:
+      preview_bgr_reconstructed
+      texto_descritivo
+    """
+    saved_type = meta.get("saved_payload_type")
+
+    # =========================================================
+    # Caso MULTI payload por câmera
+    # =========================================================
+    if saved_type == "raw_native_multi":
+        if cam_id is None:
+            raise RuntimeError("cam_id é obrigatório para saved_payload_type='raw_native_multi'")
+
+        saved_dtypes = meta.get("saved_payload_dtypes", {}) or {}
+        saved_shapes = meta.get("saved_payload_shapes", {}) or {}
+
+        saved_dtype = saved_dtypes.get(cam_id)
+        saved_shape = saved_shapes.get(cam_id)
+
+        if saved_dtype is None or saved_shape is None:
+            raise RuntimeError(
+                f"JSON não contém saved_payload_dtypes/saved_payload_shapes para {cam_id}"
+            )
+
+        np_dtype = np.dtype(saved_dtype)
+        raw = np.fromfile(str(payload_path), dtype=np_dtype)
+        arr = raw.reshape(tuple(saved_shape))
+
+        # Busca metadados da câmera no stream_meta
+        stream_meta = meta.get("stream_meta", {}) or {}
+        cam_frames = stream_meta.get("camera_frames", {}) or {}
+        cam_meta = cam_frames.get(cam_id, {}) or {}
+
+        role = cam_meta.get("role", cam_id)
+        interface = cam_meta.get("interface", "")
+        bit_depth = int(cam_meta.get("bit_depth", 10))
+        bayer = cam_meta.get("bayer_pattern", meta.get("bayer_pattern", "GBRG"))
+
+        # USB RGB nativo
+        if interface.upper() == "USB" or (arr.ndim == 3 and arr.shape[2] == 3 and arr.dtype == np.uint8):
+            preview_bgr = arr.copy()
+            desc = f"{cam_id} | role={role} | USB/RGB nativo | dtype={arr.dtype} | shape={arr.shape}"
+            return preview_bgr, desc
+
+        # CSI RAW packed mono
+        sensor_width, sensor_height = resolve_sensor_dims_for_raw10_packed(arr, cam_meta, meta)
+
+        core = RawProcessorCore(
+            sensor_width=sensor_width,
+            sensor_height=sensor_height,
+            bayer_pattern=bayer,
+        )
+        preview = RawProcessorPreview(
+            sensor_width=sensor_width,
+            sensor_height=sensor_height,
+            bayer_pattern=bayer,
+        )
+
+        packed = arr
+        if packed.ndim == 3 and packed.shape[2] == 1:
+            packed = packed[:, :, 0]
+
+        raw16 = core.unpack_raw10_packed(packed)
+        preview_bgr = preview.raw16_to_preview_bgr(raw16, bit_depth=bit_depth)
+
+        desc = (
+            f"{cam_id} | role={role} | RAW packed mono | "
+            f"dtype={arr.dtype} | shape={arr.shape} | "
+            f"sensor={sensor_width}x{sensor_height} | "
+            f"bayer={bayer} | bit_depth={bit_depth}"
+        )
+        return preview_bgr, desc
+
+    # =========================================================
+    # Caso payload único
+    # =========================================================
+    saved_dtype = meta.get("saved_payload_dtype")
+    saved_shape = meta.get("saved_payload_shape")
+
+    if saved_type is None or saved_dtype is None or saved_shape is None:
+        raise RuntimeError(
+            "JSON não contém saved_payload_type / saved_payload_dtype / saved_payload_shape"
+        )
+
+    np_dtype = np.dtype(saved_dtype)
+    raw = np.fromfile(str(payload_path), dtype=np_dtype)
+    arr = raw.reshape(tuple(saved_shape))
+
+    if saved_type == "rgb":
+        if arr.ndim != 3 or arr.shape[0] != 3:
+            raise RuntimeError(f"Payload RGB inválido, shape={arr.shape}")
+
+        rgb_hwc = chw_to_hwc(arr.astype(np.float32))
+        preview_bgr = normalize_float01_to_bgr(rgb_hwc)
+        desc = f"Reconstruido de RGB salvo | dtype={arr.dtype} | shape={arr.shape}"
+        return preview_bgr, desc
+
+    if saved_type == "multispec":
+        if arr.ndim != 3 or arr.shape[0] < 3:
+            raise RuntimeError(f"Payload MULTISPEC inválido, shape={arr.shape}")
+
+        rgb_hwc = chw_to_hwc(arr[:3].astype(np.float32))
+        preview_bgr = normalize_float01_to_bgr(rgb_hwc)
+        desc = f"Reconstruido de MULTISPEC salvo | dtype={arr.dtype} | shape={arr.shape}"
+        return preview_bgr, desc
+
+    if saved_type == "raw_native_single":
+        if arr.ndim == 3 and arr.shape[2] == 3 and arr.dtype == np.uint8:
+            preview_bgr = arr.copy()
+            desc = f"Reconstruido de RAW nativo USB | dtype={arr.dtype} | shape={arr.shape}"
+            return preview_bgr, desc
+
+        stream_meta = meta.get("stream_meta", {})
+        source_camera = stream_meta.get("source_camera", {}) or {}
+
+        bayer = source_camera.get("bayer_pattern", meta.get("bayer_pattern", "GBRG"))
+        bit_depth = int(source_camera.get("bit_depth", 10))
+
+        sensor_height = int(meta.get("sensor_height"))
+        sensor_width = int(meta.get("sensor_width"))
+
+        core = RawProcessorCore(
+            sensor_width=sensor_width,
+            sensor_height=sensor_height,
+            bayer_pattern=bayer,
+        )
+        preview = RawProcessorPreview(
+            sensor_width=sensor_width,
+            sensor_height=sensor_height,
+            bayer_pattern=bayer,
+        )
+
+        packed = arr
+        if packed.ndim == 3 and packed.shape[2] == 1:
+            packed = packed[:, :, 0]
+
+        raw16 = core.unpack_raw10_packed(packed)
+        preview_bgr = preview.raw16_to_preview_bgr(raw16, bit_depth=bit_depth)
+
+        desc = f"Reconstruido de RAW packed mono | dtype={arr.dtype} | shape={arr.shape} | bayer={bayer} | bit_depth={bit_depth}"
+        return preview_bgr, desc
+
+    if saved_type == "raw10_packed":
+        stream_meta = meta.get("stream_meta", {}) or {}
+        source_camera = stream_meta.get("source_camera", {}) or {}
+
+        bayer = source_camera.get("bayer_pattern", meta.get("bayer_pattern", "GBRG"))
+        bit_depth = int(source_camera.get("bit_depth", 10))
+
+        sensor_height = int(meta.get("sensor_height"))
+        sensor_width = int(meta.get("sensor_width"))
+
+        core = RawProcessorCore(
+            sensor_width=sensor_width,
+            sensor_height=sensor_height,
+            bayer_pattern=bayer,
+        )
+        preview = RawProcessorPreview(
+            sensor_width=sensor_width,
+            sensor_height=sensor_height,
+            bayer_pattern=bayer,
+        )
+
+        packed = arr
+        if packed.ndim == 3 and packed.shape[2] == 1:
+            packed = packed[:, :, 0]
+
+        raw16 = core.unpack_raw10_packed(packed)
+        preview_bgr = preview.raw16_to_preview_bgr(raw16, bit_depth=bit_depth)
+
+        desc = (
+            f"Reconstruido de RAW10 packed | "
+            f"dtype={arr.dtype} | shape={arr.shape} | "
+            f"sensor={sensor_width}x{sensor_height} | "
+            f"bayer={bayer} | bit_depth={bit_depth}"
+        )
+        return preview_bgr, desc
+
+    raise RuntimeError(f"saved_payload_type não suportado neste script: {saved_type}")
+
+
+def build_panels_from_group(group):
+    panels = []
+
+    meta = load_json(group["json"])
+
+    preview_saved = cv2.imread(str(group["png"]), cv2.IMREAD_COLOR)
+    if preview_saved is None:
+        raise RuntimeError(f"Falha ao ler preview PNG: {group['png']}")
+    panels.append(("Preview salvo", preview_saved, f"{preview_saved.shape[1]}x{preview_saved.shape[0]}"))
+
+    if group["final_raw"] is not None:
+        img, desc = build_visual_from_saved_payload(group["final_raw"], meta)
+        panels.append(("Reconstruido (final)", img, desc))
+
+    for cam_id, path in group["cameras"].items():
+        img, desc = build_visual_from_saved_payload(path, meta, cam_id=cam_id)
+        panels.append((f"{cam_id} reconstruido", img, desc))
+
+    return panels
+
+
+def compose_panels(panels, max_width=1600):
+    imgs = []
+
+    # aplica label
+    for title, img, subtitle in panels:
+        img_labeled = put_label(img, title, subtitle)
+        imgs.append(img_labeled)
+
+    # normaliza tamanho base
+    max_h = max(img.shape[0] for img in imgs)
+
+    resized = []
+    for img in imgs:
+        scale = max_h / img.shape[0]
+        w = int(img.shape[1] * scale)
+        resized.append(cv2.resize(img, (w, max_h), interpolation=cv2.INTER_NEAREST))
+
+    # =========================
+    # Montagem em grid 2x2
+    # =========================
+    rows = []
+    gap = np.full((max_h, 20, 3), 30, dtype=np.uint8)
+
+    for i in range(0, len(resized), 2):
+        row_imgs = resized[i:i+2]
+
+        # se só tiver 1 imagem na linha, duplica espaço vazio
+        if len(row_imgs) == 1:
+            blank = np.zeros_like(row_imgs[0])
+            row_imgs.append(blank)
+
+        row = np.hstack([row_imgs[0], gap, row_imgs[1]])
+        rows.append(row)
+
+    # junta linhas
+    gap_h = np.full((20, rows[0].shape[1], 3), 30, dtype=np.uint8)
+
+    canvas = rows[0]
+    for r in rows[1:]:
+        canvas = np.vstack([canvas, gap_h, r])
+
+    # =========================
+    # Resize final
+    # =========================
+    if canvas.shape[1] > max_width:
+        scale = max_width / canvas.shape[1]
+        canvas = cv2.resize(
+            canvas,
+            (int(canvas.shape[1] * scale), int(canvas.shape[0] * scale)),
+            interpolation=cv2.INTER_AREA
+        )
+
+    return canvas
+
+
+def sort_panels(panels):
+    order = ["Preview salvo", "cam2", "cam0", "cam1"]
+
+    def key(p):
+        title = p[0].lower()
+        for i, k in enumerate(order):
+            if k in title:
+                return i
+        return 99
+
+    return sorted(panels, key=key)
+
+
+def fit_same_height(img_a: np.ndarray, img_b: np.ndarray, target_h: int = None):
+    if target_h is None:
+        target_h = max(img_a.shape[0], img_b.shape[0])
+
+    def resize_to_h(img, h):
+        scale = h / img.shape[0]
+        w = int(img.shape[1] * scale)
+        return cv2.resize(img, (w, h), interpolation=cv2.INTER_NEAREST)
+
+    return resize_to_h(img_a, target_h), resize_to_h(img_b, target_h)
+
+
+def put_label(img: np.ndarray, title: str, subtitle: str = "") -> np.ndarray:
+    out = img.copy()
+    cv2.putText(out, title, (12, 28), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 0), 3, cv2.LINE_AA)
+    cv2.putText(out, title, (12, 28), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 255), 2, cv2.LINE_AA)
+
+    if subtitle:
+        cv2.putText(out, subtitle, (12, 56), cv2.FONT_HERSHEY_SIMPLEX, 0.55, (0, 0, 0), 3, cv2.LINE_AA)
+        cv2.putText(out, subtitle, (12, 56), cv2.FONT_HERSHEY_SIMPLEX, 0.55, (255, 255, 255), 1, cv2.LINE_AA)
+
+    return out
+
+
+def resolve_capture_group(input_path: Path):
+    """
+    Resolve todos os arquivos relacionados a uma captura.
+
+    Retorna:
+    {
+        "json": Path,
+        "png": Path,
+        "final_raw": Path | None,
+        "cameras": { "cam0": Path, ... }
+    }
+    """
+    input_path = input_path.resolve()
+    folder = input_path.parent
+
+    name = input_path.stem
+
+    # remove sufixo _camX se existir
+    if "_cam" in name:
+        base_name = name.split("_cam")[0]
+    else:
+        base_name = name
+
+    json_path = folder / f"{base_name}.json"
+    png_path = folder / f"{base_name}.png"
+
+    if not json_path.exists():
+        raise FileNotFoundError(f"JSON não encontrado: {json_path}")
+    if not png_path.exists():
+        raise FileNotFoundError(f"PNG não encontrado: {png_path}")
+
+    meta = load_json(json_path)
+
+    group = {
+        "json": json_path,
+        "png": png_path,
+        "final_raw": None,
+        "cameras": {}
+    }
+
+    # =========================
+    # Caso MULTI payload
+    # =========================
+    if "saved_payload_paths" in meta:
+        for cam_id, fname in meta["saved_payload_paths"].items():
+            path = folder / fname
+            if path.exists():
+                group["cameras"][cam_id] = path
+
+    # =========================
+    # Caso payload único (.raw)
+    # =========================
+    elif "saved_payload_path" in meta:
+        path = folder / meta["saved_payload_path"]
+        if path.exists():
+            group["final_raw"] = path
+
+    return group
+
+
+def resolve_sensor_dims_for_raw10_packed(arr: np.ndarray, cam_meta: dict, meta: dict) -> tuple[int, int]:
+    """
+    Para CSI RAW10 packed:
+      packed_width = ceil(sensor_width * 5 / 4)
+    Na prática aqui usamos:
+      sensor_width = packed_width * 4 // 5
+
+    Altura permanece a mesma.
+    """
+    packed_h = int(arr.shape[0])
+    packed_w = int(arr.shape[1])
+
+    interface = str(cam_meta.get("interface", "")).upper()
+    bit_depth = int(cam_meta.get("bit_depth", 10))
+
+    # USB ou RGB HWC não entra nessa lógica
+    if interface == "USB":
+        return packed_w, packed_h
+
+    # Caso esperado: CSI RAW10 packed mono
+    if bit_depth == 10:
+        sensor_w = (packed_w * 4) // 5
+        sensor_h = packed_h
+        return sensor_w, sensor_h
+
+    # fallback conservador
+    return packed_w, packed_h
+
+
+def list_capture_groups_from_dir(folder: Path) -> list[Path]:
+    """
+    Lista todos os JSONs de captura do diretório, ordenados por nome.
+    Cada JSON representa uma captura.
+    """
+    if not folder.exists() or not folder.is_dir():
+        raise FileNotFoundError(f"Diretório não encontrado: {folder}")
+
+    items = sorted(folder.glob("*.json"))
+    if not items:
+        raise RuntimeError(f"Nenhum arquivo .json encontrado em: {folder}")
+
+    return items
+
+
+def resolve_navigation_inputs(input_path: Path) -> tuple[list[Path], int]:
+    """
+    Retorna:
+      entries: lista de JSONs de captura
+      start_index: índice inicial baseado no input fornecido
+    """
+    input_path = input_path.resolve()
+
+    # Caso 1: usuário passou uma pasta
+    if input_path.is_dir():
+        entries = list_capture_groups_from_dir(input_path)
+        return entries, 0
+
+    # Caso 2: usuário passou arquivo
+    if not input_path.exists():
+        raise FileNotFoundError(f"Arquivo não encontrado: {input_path}")
+
+    folder = input_path.parent
+    entries = list_capture_groups_from_dir(folder)
+
+    # Tenta descobrir qual JSON corresponde ao input
+    if input_path.suffix.lower() == ".json":
+        target_json = input_path.resolve()
+    else:
+        group = resolve_capture_group(input_path)
+        target_json = group["json"].resolve()
+
+    try:
+        idx = entries.index(target_json)
+    except ValueError:
+        idx = 0
+
+    return entries, idx
+
+
+def render_group_to_canvas(json_path: Path, max_width: int):
+    group = resolve_capture_group(json_path)
+    meta = load_json(group["json"])
+
+    panels = build_panels_from_group(group)
+    panels = sort_panels(panels)
+    canvas = compose_panels(panels, max_width=max_width)
+
+    info = {
+        "json": group["json"],
+        "png": group["png"],
+        "final_raw": group["final_raw"],
+        "cameras": group["cameras"],
+        "meta": meta,
+    }
+    return canvas, info
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Valida visualmente payload salvo (.bin/.raw/.json/.png) comparando com o preview .png"
+    )
+    parser.add_argument("input_path", help="Caminho para .json, .png, .bin, .raw ou diretório")
+    parser.add_argument("--max-width", type=int, default=1600, help="Largura máxima da janela final")
+    args = parser.parse_args()
+
+    input_path = Path(args.input_path)
+    entries, current_idx = resolve_navigation_inputs(input_path)
+
+    window_name = "Validacao do payload salvo | A=anterior | D=proximo | Q/Esc=sair"
+    cv2.namedWindow(window_name, cv2.WINDOW_NORMAL)
+
+    while True:
+        current_json = entries[current_idx]
+        canvas, info = render_group_to_canvas(current_json, max_width=args.max_width)
+
+        # Cabeçalho adicional na imagem
+        overlay = canvas.copy()
+        text = f"{current_idx + 1}/{len(entries)} | {current_json.name}"
+        cv2.putText(overlay, text, (12, overlay.shape[0] - 16),
+                    cv2.FONT_HERSHEY_SIMPLEX, 0.65, (0, 0, 0), 3, cv2.LINE_AA)
+        cv2.putText(overlay, text, (12, overlay.shape[0] - 16),
+                    cv2.FONT_HERSHEY_SIMPLEX, 0.65, (0, 255, 0), 1, cv2.LINE_AA)
+
+        cv2.imshow(window_name, overlay)
+
+        meta = info["meta"]
+        print("=" * 60)
+        print(f"[{current_idx + 1}/{len(entries)}]")
+        print("Entrada JSON   :", info["json"])
+        print("PNG            :", info["png"])
+        print("Final RAW      :", info["final_raw"])
+        print("Câmeras        :", {k: str(v) for k, v in info["cameras"].items()})
+        print("saved_payload_type :", meta.get("saved_payload_type"))
+        print("saved_payload_dtype:", meta.get("saved_payload_dtype"))
+        print("saved_payload_shape:", meta.get("saved_payload_shape"))
+        print("saved_payload_dtypes:", meta.get("saved_payload_dtypes"))
+        print("saved_payload_shapes:", meta.get("saved_payload_shapes"))
+        print("stream frame_type  :", (meta.get("stream_meta") or {}).get("frame_type"))
+        print("=" * 60)
+
+        k = cv2.waitKey(0) & 0xFF
+
+        if k in (ord("q"), ord("Q"), 27):
+            break
+        elif k in (ord("d"), ord("D")):
+            current_idx = min(current_idx + 1, len(entries) - 1)
+        elif k in (ord("a"), ord("A")):
+            current_idx = max(current_idx - 1, 0)
+
+    cv2.destroyAllWindows()
+
+
+if __name__ == "__main__":
+    main()

Python/raspi/pi/camera_manager.py

@@ -1,278 +0,0 @@
-from pathlib import Path
-from datetime import datetime
-import subprocess
-from picamera2 import Picamera2
-import base64
-import io
-from PIL import Image
-from threading import Lock, RLock
-import threading
-import time
-import numpy as np
-
-
-class CameraManager:
-    def __init__(self, state):
-        self.state = state
-        self.picam2 = None
-        self.initialized = False
-
-        self.output_dir = Path("/tmp/multispec_captures")
-        self.output_dir.mkdir(parents=True, exist_ok=True)
-
-        self.last_raw_frame = None
-        self.last_raw_frame_id = 0
-        self.last_raw_frame_ts = None
-        self._raw_buffer = None
-        self.frame_lock = Lock()
-        self.camera_lock = RLock()
-
-        self._stop_event = threading.Event()
-        self._stream_thread = None
-        self._sensor_modes_cache = None
-
-        self.current_width = None
-        self.current_height = None
-        self.current_fps = None
-        self._reconfigure_needed = False
-
-    def mark_reconfigure_needed(self):
-        with self.camera_lock:
-            self._reconfigure_needed = True
-
-    def needs_reconfigure(self):
-        return (
-            self._reconfigure_needed or
-            not self.initialized or
-            self.current_width != self.state.width or
-            self.current_height != self.state.height or
-            self.current_fps != self.state.fps
-        )
-
-    def begin(self):
-        with self.camera_lock:
-            if self.picam2 is not None and self.needs_reconfigure():
-                self.stop()
-
-            if self.initialized and self.picam2 is not None:
-                return True
-
-            self.picam2 = Picamera2()
-
-            config = self.picam2.create_video_configuration(
-                main={"size": (640, 480), "format": "RGB888"},
-                raw={"size": (self.state.width, self.state.height)},
-                buffer_count=6
-            )
-
-            if config is None:
-                self.picam2 = None
-                raise RuntimeError("Falha ao criar configuração da câmera. Verifique se a resolução é suportada.")
-
-            self.picam2.configure(config)
-            self.picam2.start()
-
-            self.initialized = True
-            self.current_width = self.state.width
-            self.current_height = self.state.height
-            self.current_fps = self.state.fps
-            self._reconfigure_needed = False
-
-            self.apply_controls()
-
-            with self.frame_lock:
-                self.last_raw_frame = None
-                self.last_raw_frame_id = 0
-                self.last_raw_frame_ts = None
-
-            self._stop_event.clear()
-            self._stream_thread = threading.Thread(target=self._update_loop, daemon=True)
-            self._stream_thread.start()
-
-        if not self.wait_first_frame(timeout_s=2.0):
-            self.stop()
-            raise RuntimeError("Câmera inicializada, mas nenhum frame foi recebido a tempo")
-
-        return True
-
-    def _update_loop(self):
-        print("[DEBUG] Loop de atualização de frames iniciado")
-
-        while not self._stop_event.is_set():
-            request = None
-            try:
-                with self.camera_lock:
-                    if self.picam2 is None:
-                        time.sleep(0.05)
-                        continue
-                    request = self.picam2.capture_request()
-
-                raw_array = request.make_array("raw")
-                self.last_raw_shape = raw_array.shape
-                self.last_raw_dtype = raw_array.dtype
-
-                with self.frame_lock:
-                    if (
-                        self._raw_buffer is None or
-                        self._raw_buffer.shape != raw_array.shape or
-                        self._raw_buffer.dtype != raw_array.dtype
-                    ):
-                        self._raw_buffer = raw_array.copy()
-                    else:
-                        np.copyto(self._raw_buffer, raw_array)
-
-                    self.last_raw_frame = self._raw_buffer
-                    self.last_raw_frame_id += 1
-                    self.last_raw_frame_ts = time.perf_counter()
-
-            except Exception as e:
-                print(f"[ERRO LOOP] {e}")
-                time.sleep(0.1)
-            finally:
-                if request is not None:
-                    try:
-                        request.release()
-                    except Exception:
-                        pass
-
-    def stop(self):
-        with self.camera_lock:
-            self._stop_event.set()
-
-            if self._stream_thread is not None:
-                self._stream_thread.join(timeout=1.5)
-                self._stream_thread = None
-
-            if self.picam2 is not None:
-                try:
-                    self.picam2.stop()
-                except Exception:
-                    pass
-                try:
-                    self.picam2.close()
-                except Exception:
-                    pass
-
-            self.picam2 = None
-            self.initialized = False
-            self._reconfigure_needed = False
-
-            self.current_width = None
-            self.current_height = None
-            self.current_fps = None
-
-            with self.frame_lock:
-                self.last_raw_frame = None
-
-        with self.frame_lock:
-            self.last_raw_frame = None
-            self.last_raw_frame_id = 0
-            self.last_raw_frame_ts = None
-            self._raw_buffer = None
-
-    def capture_raw_frame(self):
-        with self.frame_lock:
-            if self.last_raw_frame is None:
-                return None, 0, 0, 0, 0, None
-
-            frame = self.last_raw_frame
-            frame_id = self.last_raw_frame_id
-            frame_ts = self.last_raw_frame_ts
-            h, w = frame.shape[:2]
-
-            return {
-                "frame": frame,
-                "width": w,
-                "height": h,
-                "channels": 1,
-                "frame_id": frame_id,
-                "timestamp": frame_ts,
-            }
-
-    def _build_controls_from_state(self):
-        controls = {}
-
-        frame_us = int(1_000_000 / max(1, self.state.fps or 10))
-        controls["FrameDurationLimits"] = (frame_us, frame_us)
-
-        controls["AeEnable"] = bool(self.state.ae_enable)
-        controls["AwbEnable"] = bool(self.state.awb_enable)
-
-        if not self.state.ae_enable:
-            if self.state.exposure_time_us is not None:
-                controls["ExposureTime"] = int(self.state.exposure_time_us)
-            if self.state.analogue_gain is not None:
-                controls["AnalogueGain"] = float(self.state.analogue_gain)
-
-        if not self.state.awb_enable and self.state.colour_gains is not None:
-            r_gain, b_gain = self.state.colour_gains
-            controls["ColourGains"] = (float(r_gain), float(b_gain))
-
-        return controls
-
-    def apply_controls(self):
-        with self.camera_lock:
-            if self.picam2 is None:
-                return False
-
-            controls = self._build_controls_from_state()
-            try:
-                self.picam2.set_controls(controls)
-                return True
-            except Exception as e:
-                print(f"[ERRO CONTROLS] {e} | controls={controls}")
-                return False
-
-    def get_sensor_modes(self):
-        if self._sensor_modes_cache:
-            return self._sensor_modes_cache
-
-        temp_picam2 = None
-        try:
-            if self.picam2 is not None:
-                cam = self.picam2
-            else:
-                temp_picam2 = Picamera2()
-                cam = temp_picam2
-
-            modes = cam.sensor_modes
-            result = []
-
-            for i, m in enumerate(modes):
-                fmt = str(m.get("format")) if m.get("format") is not None else None
-                size = m.get("size")
-                bit_depth = m.get("bit_depth")
-                fps = m.get("fps")
-                crop_limits = m.get("crop_limits")
-                exposure_limits = m.get("exposure_limits")
-
-                result.append({
-                    "index": i,
-                    "format": fmt,
-                    "size": list(size) if size is not None else None,
-                    "bit_depth": bit_depth,
-                    "fps": fps,
-                    "crop_limits": list(crop_limits) if crop_limits is not None else None,
-                    "exposure_limits": list(exposure_limits) if exposure_limits is not None else None,
-                })
-
-            self._sensor_modes_cache = result
-            return result
-
-        finally:
-            if temp_picam2 is not None:
-                try:
-                    temp_picam2.close()
-                except Exception:
-                    pass
-
-    def wait_first_frame(self, timeout_s=2.0):
-        t0 = time.perf_counter()
-
-        while time.perf_counter() - t0 < timeout_s:
-            with self.frame_lock:
-                if self.last_raw_frame is not None:
-                    return True
-            time.sleep(0.01)
-
-        return False

Python/raspi/pi/frame_service.py

@@ -1,239 +0,0 @@
-import time
-import threading
-import base64
-
-
-class FrameService:
-    def __init__(self, state, trigger_manager, camera_manager):
-        self.state = state
-        self.trigger = trigger_manager
-        self.camera = camera_manager
-        self._capture_lock = threading.RLock()
-
-        self._ensure_raw_processor()
-
-    def _ensure_raw_processor(self):
-        if (
-            not hasattr(self, "raw_processor") or
-            self.raw_processor.sensor_width != self.state.width or
-            self.raw_processor.sensor_height != self.state.height or
-            self.raw_processor.bayer_pattern.upper() != self.state.source_bayer_pattern.upper()
-        ):
-            from raw_processor_core import RawProcessorCore
-            self.raw_processor = RawProcessorCore(
-                sensor_width=self.state.width,
-                sensor_height=self.state.height,
-                bayer_pattern=self.state.source_bayer_pattern,
-            )
-
-    def _capture_with_retry(self, max_attempts=10, retry_delay_s=0.02):
-        last_info = None
-
-        for _ in range(max_attempts):
-            info = self.camera.capture_raw_frame()
-
-            if (
-                info is not None and
-                info.get("frame") is not None and
-                info.get("width", 0) > 0 and
-                info.get("height", 0) > 0 and
-                info.get("channels", 0) > 0
-            ):
-                return info
-
-            last_info = info
-            time.sleep(retry_delay_s)
-
-        if last_info is None:
-            raise RuntimeError(f"Capture retornou frame vazio após {max_attempts} tentativas")
-
-        raise RuntimeError(
-            f"Capture retornou frame vazio após {max_attempts} tentativas: "
-            f"width={last_info.get('width')}, "
-            f"height={last_info.get('height')}, "
-            f"channels={last_info.get('channels')}, "
-            f"camera_frame_id={last_info.get('frame_id')}, "
-            f"camera_frame_ts={last_info.get('timestamp')}"
-        )
-
-    def capture_frame_raw(self):
-        with self._capture_lock:
-            if not self.state.initialized:
-                raise RuntimeError("Módulo não inicializado")
-
-            t0_perf = time.perf_counter()
-            t0_unix = time.time()
-
-            dt_trigger = 0.0
-            dt_settle = 0.0
-            dt_capture = 0.0
-            dt_process = 0.0
-
-            try:
-                if self.state.trigger_enabled:
-                    trig_start = time.perf_counter()
-                    self.trigger.pulse()
-                    trig_end = time.perf_counter()
-                    dt_trigger = trig_end - trig_start
-
-                    settle_ms = float(getattr(self.state, "trigger_settle_delay_ms", 0.0) or 0.0)
-                    if settle_ms > 0:
-                        settle_start = time.perf_counter()
-                        time.sleep(settle_ms / 1000.0)
-                        settle_end = time.perf_counter()
-                        dt_settle = settle_end - settle_start
-
-                cap_start = time.perf_counter()
-                raw_frame_info = self._capture_with_retry()
-                cap_end = time.perf_counter()
-                dt_capture = cap_end - cap_start
-
-                proc_start = time.perf_counter()
-                if self.state.frame_type != "RAW_BRUTO":
-                    self._ensure_raw_processor()
-                frame_out, meta_extra = self._build_output_frame(raw_frame_info)
-                proc_end = time.perf_counter()
-                dt_process = proc_end - proc_start
-
-            except Exception as e:
-                raise RuntimeError(f"Falha durante captura/processamento de frame: {e}") from e
-
-            if frame_out is None:
-                raise RuntimeError("Frame processado retornou nulo")
-
-            total_end = time.perf_counter()
-
-            self.state.stream_frame_id += 1
-            frame_id = self.state.stream_frame_id
-
-            meta = {
-                "frame_id": frame_id,
-                "camera_frame_id": int(raw_frame_info["frame_id"]),
-                "camera_frame_ts": raw_frame_info["timestamp"],
-
-                "ts_pi": t0_unix,
-                "ts_pi_monotonic": t0_perf,
-
-                "dt_trigger": dt_trigger,
-                "dt_settle": dt_settle,
-                "dt_capture": dt_capture,
-                "dt_process": dt_process,
-                "dt_total_pi": total_end - t0_perf,
-
-                "source_bayer_pattern": self.state.source_bayer_pattern,
-                "source_bit_depth": self.state.source_bit_depth,
-            }
-
-            meta.update(meta_extra)
-
-            return frame_out, meta
-
-    def capture_frame_base64(self):
-        frame, meta = self.capture_frame_raw()
-
-        frame_bytes = frame.tobytes()
-        meta["encoding"] = "base64"
-        meta["size"] = len(frame_bytes)
-        meta["data"] = base64.b64encode(frame_bytes).decode("ascii")
-        return meta
-
-    def _build_output_frame(self, raw_frame_info):
-        if self.state.frame_type == "RAW_BRUTO":
-            return self._process_raw_bruto(raw_frame_info)
-
-        if self.state.frame_type == "RGB":
-            return self._process_rgb(raw_frame_info)
-
-        if self.state.frame_type == "RGBNIR":
-            return self._process_rgbnir(raw_frame_info)
-
-        raise RuntimeError(f"frame_type inválido: {self.state.frame_type}")
-
-    def _convert_output_dtype(self, arr):
-        max_sensor_value = (1 << int(self.state.source_bit_depth)) - 1
-        if self.state.output_dtype == "uint8":
-            if arr.dtype == "uint8":
-                return arr
-            if arr.dtype == "float32":
-                return (arr * 255.0).clip(0, 255).astype("uint8")
-            if arr.dtype.kind in ("u", "i"):
-                # assume 10-bit/16-bit vindo do pipeline
-                max_val = arr.max() if arr.size > 0 else 0
-                if max_val <= 255:
-                    return arr.astype("uint8")
-                return ((arr.astype("float32") / max_sensor_value) * 255.0).clip(0, 255).astype("uint8")
-            raise RuntimeError(f"dtype não suportado para uint8: {arr.dtype}")
-
-        elif self.state.output_dtype == "float32":
-            if arr.dtype == "float32":
-                return arr
-            if arr.dtype == "uint8":
-                return arr.astype("float32") / 255.0
-            if arr.dtype.kind in ("u", "i"):
-                max_val = arr.max() if arr.size > 0 else 0
-                if max_val <= 255:
-                    return arr.astype("float32") / 255.0
-                return arr.astype("float32") / max_sensor_value
-            raise RuntimeError(f"dtype não suportado para float32: {arr.dtype}")
-
-        raise RuntimeError(f"output_dtype inválido: {self.state.output_dtype}")
-        
-    def _process_raw_bruto(self, raw_frame_info):
-        frame = raw_frame_info["frame"]
-
-        meta_extra = {
-            "frame_type": self.state.frame_type,
-            "payload_format_version": self.state.payload_format_version,
-            "output_dtype": str(frame.dtype),
-            "dtype": str(frame.dtype),
-            "output_layout": "HW",
-            "output_channels": 1,
-            "output_channel_names": ["RAW10_PACKED"],
-            "output_width": int(raw_frame_info["width"]),
-            "output_height": int(raw_frame_info["height"]),
-            "source_width": int(self.state.width),
-            "source_height": int(self.state.height),
-            "packed_width": int(raw_frame_info["width"]),
-            "packed_height": int(raw_frame_info["height"]),
-            "width": int(raw_frame_info["width"]),
-            "height": int(raw_frame_info["height"]),
-            "channels": 1,
-        }
-
-        return frame, meta_extra
-
-    def _process_rgb(self, raw_frame_info):
-        packed = raw_frame_info["frame"]
-        b_depth = self.state.source_bit_depth
-
-        if packed.ndim == 3 and packed.shape[2] == 1:
-            packed = packed[:, :, 0]
-
-        raw16 = self.raw_processor.unpack_raw10_packed(packed)
-        rgb_chw = self.raw_processor.build_training_rgb(raw16, bit_depth=b_depth)
-
-        rgb_chw = self._convert_output_dtype(rgb_chw)
-
-        meta_extra = {
-            "frame_type": self.state.frame_type,
-            "payload_format_version": self.state.payload_format_version,
-            "output_dtype": self.state.output_dtype,
-            "dtype": str(rgb_chw.dtype),
-            "output_layout": "CHW",
-            "output_channels": 3,
-            "output_channel_names": ["R", "G", "B"],
-            "output_width": int(rgb_chw.shape[2]),
-            "output_height": int(rgb_chw.shape[1]),
-            "source_width": int(self.state.width),
-            "source_height": int(self.state.height),
-            "width": int(rgb_chw.shape[2]),
-            "height": int(rgb_chw.shape[1]),
-            "channels": 3,
-            "packed_width": int(raw_frame_info["width"]),
-            "packed_height": int(raw_frame_info["height"]),
-        }
-        
-        return rgb_chw, meta_extra
-
-    def _process_rgbnir(self, raw_frame_info):
-        raise NotImplementedError("RGBNIR ainda não implementado")

Python/raspi/pi/state.py

@@ -1,155 +0,0 @@
-class ModuleState:
-    def __init__(self):
-        self.module_name = "multispectral"
-        self.version = "0.1.0"
-        self.payload_format_version = 1
-
-        self.status = "idle"
-        self.status_detail = None
-        self.last_error = None
-        self.last_command = None
-
-        self.camera_connected = False
-        self.camera_id = "cam0"
-
-        self.initialized = False
-        self.streaming = False
-
-        # Configuração da captura no sensor
-        self.fps = 10
-        self.jpeg_quality = 90
-        self.width = 640
-        self.height = 480
-        self.source_bayer_pattern = "GBRG"
-        self.source_bit_depth = 10
-
-        # Configuração do tipo de payload de saída
-        self.frame_type = "RAW_BRUTO"      # RAW_BRUTO | RGB | RGBNIR
-        self.output_dtype = "uint8"        # uint8 | float32
-        self.output_layout = "CHW"         # sempre CHW
-        self.output_channels = 1
-        self.output_channel_names = ["RAW10_PACKED"]
-        self.output_width = 640
-        self.output_height = 480
-
-        self.trigger_enabled = True
-        self.trigger_pin = 18
-        self.trigger_active_high = True
-        self.trigger_pulse_ms = 5.0
-        self.trigger_settle_delay_ms = 0.0
-
-        self.stream_host = None
-        self.stream_port = None
-        self.stream_fps = None
-        self.stream_frame_id = 0
-
-        self.codec_family = "none"
-        self.codec_name = "blosc"
-        self.codec_params = {
-            "cname": "zstd",
-            "clevel": 3,
-            "shuffle": "BITSHUFFLE",
-        }
-
-        self.ae_enable = True
-        self.awb_enable = True
-        self.exposure_time_us = 15000
-        self.analogue_gain = 1.0
-        self.colour_gains = [1.0, 1.0]
-        self.frame_duration_limits = None
-
-        self.update_output_spec()
-
-    def update_output_spec(self):
-        if self.frame_type == "RAW_BRUTO":
-            self.output_layout = "HW"
-            self.output_channels = 1
-            self.output_channel_names = ["BAYER"]
-            self.output_width = self.width
-            self.output_height = self.height
-
-        elif self.frame_type == "RGB":
-            self.output_layout = "CHW"
-            self.output_channels = 3
-            self.output_channel_names = ["R", "G", "B"]
-            self.output_width = self.width // 2
-            self.output_height = self.height // 2
-
-        elif self.frame_type == "RGBNIR":
-            self.output_layout = "CHW"
-            self.output_channels = 5
-            self.output_channel_names = ["R", "G", "B", "NIR", "RE"]
-            self.output_width = self.width // 2
-            self.output_height = self.height // 2
-
-        else:
-            raise ValueError(f"frame_type inválido: {self.frame_type}")
-
-    def clear_error(self):
-        self.last_error = None
-        if self.status == "error":
-            self.status = "idle"
-            self.status_detail = None
-
-    def set_error(self, error: str):
-        self.last_error = str(error)
-        self.status = "error"
-        self.status_detail = str(error)
-
-    def to_dict(self):
-        return {
-            "module": self.module_name,
-            "version": self.version,
-
-            "status": self.status,
-            "status_detail": self.status_detail,
-            "last_error": self.last_error,
-            "last_command": self.last_command,
-
-            "camera_connected": self.camera_connected,
-            "camera_id": self.camera_id,
-
-            "initialized": self.initialized,
-            "streaming": self.streaming,
-
-            "fps": self.fps,
-            "jpeg_quality": self.jpeg_quality,
-            "width": self.width,
-            "height": self.height,
-
-            "trigger_enabled": self.trigger_enabled,
-            "trigger_pin": self.trigger_pin,
-            "trigger_active_high": self.trigger_active_high,
-            "trigger_pulse_ms": self.trigger_pulse_ms,
-            "trigger_settle_delay_ms": self.trigger_settle_delay_ms,
-
-            "stream_host": self.stream_host,
-            "stream_port": self.stream_port,
-            "stream_fps": self.stream_fps,
-            "stream_frame_id": self.stream_frame_id,
-
-            "codec_family": self.codec_family,
-            "codec_name": self.codec_name,
-            "codec_params": self.codec_params,
-
-            "ae_enable": self.ae_enable,
-            "awb_enable": self.awb_enable,
-            "exposure_time_us": self.exposure_time_us,
-            "analogue_gain": self.analogue_gain,
-            "colour_gains": self.colour_gains,
-            "frame_duration_limits": self.frame_duration_limits,
-
-            "payload_format_version": self.payload_format_version,
-
-            "source_bayer_pattern": self.source_bayer_pattern,
-            "source_bit_depth": self.source_bit_depth,
-
-            "frame_type": self.frame_type,
-            "output_dtype": self.output_dtype,
-            "output_layout": self.output_layout,
-            "output_channels": self.output_channels,
-            "output_channel_names": self.output_channel_names,
-            "output_width": self.output_width,
-            "output_height": self.output_height,
-        }
-        

Python/raspi/test_service.py

@@ -0,0 +1,29 @@
+import time
+from cam_3.multispectral_service import MultiSpectralService
+
+svc = MultiSpectralService(host="192.168.105.6", port=5000)
+
+svc.connect()
+
+print("PING:", svc.ping())
+print("STATUS:", svc.get_status())
+print("SET FPS:", svc.set_fps(15))
+print("SET JPG:", svc.set_jpeg_quality(85))
+print("SET RES:", svc.set_resolution(1280, 720))
+print("BEGIN:", svc.begin())
+jpg = None
+for i in range(1, 6):  # Começa em 1 e vai até 5
+    t0 = time.time()
+    jpg = svc.capture_jpg_base64()
+    status = "OK" if jpg is not None else "Falha"
+    tempo = time.time() - t0
+    print(f"CAPTURE {i} JPG: {status}, Tempo: {tempo:.4f}")
+print("STOP:", svc.stop())
+print("CONFIG:", svc.get_config())
+print("STATUS FINAL:", svc.get_status())
+
+svc.disconnect()
+
+if jpg is not None:
+    with open("capture.jpg", "wb") as f:
+        f.write(jpg)