Da (3).mp4 -

# Process features as needed print(features.shape)

# Add batch dimension tensor_frame = tensor_frame.unsqueeze(0) da (3).mp4

while True: ret, frame = video_capture.read() if not ret: break # Convert to RGB and apply transform rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) tensor_frame = transform(rgb_frame) # Process features as needed print(features

# Load a pre-trained model model = torchvision.models.resnet50(pretrained=True) model.eval() # Set to evaluation mode da (3).mp4

# Display or save frame if needed # ...