Ahora, mi solución extrae imágenes con bytes guardados en el disco usando OpenCV/FFmpeg:

 from fastapi import APIRouter, UploadFile, File @router.post("/") def extract_stream_frames(stream: UploadFile = File(...)): temp_filename = os.path.join(tempfile.gettempdir(), str(uuid.uuid4()) + ".mp4") # print(stream.content_type) local_temp_file = open(temp_filename, "wb") local_temp_file.write(stream.file.read()) local_temp_file.close() try: images = video.sampling(local_temp_file.name, num_frames=Config.IMAGES_PER_STREAM) images = list(map(lambda array: image.preprocess(array, Config.IMAGE_HEIGHT, Config.IMAGE_WIDTH), images)) result = classify(images=images) finally: os.remove(local_temp_file.name) return result

Función de extracción de fotogramas:

 def sampling(video_path: str, num_frames: int): cam = cv2.VideoCapture(video_path) images = [] while True: ret, frame = cam.read() if ret: images.append(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)) else: break cam.release() cv2.destroyAllWindows() total_frames = len(images) images = [images[frame_no] for frame_no in range(0, total_frames, (total_frames + num_frames -1) // num_frames)] return images

¿Hay alguna solución que no requiera guardar la secuencia en el disco?