Tomo_4.mp4 Official

pip install tensorflow opencv-python numpy You'll need to load the video, extract frames, and then feed these frames into a deep learning model to extract features.

# Read and display video frames frames = [] while cap.isOpened(): ret, frame = cap.read() if not ret: break # Convert to RGB (OpenCV reads in BGR format) frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) frames.append(frame_rgb) tomo_4.mp4

# Load the VGG16 model for feature extraction model = VGG16(weights='imagenet', include_top=False, pooling='avg') pip install tensorflow opencv-python numpy You'll need to

# Check if video file was opened successfully if not cap.isOpened(): print("Error opening video file") tomo_4.mp4