Da (3).mp4 May 2026

# Add batch dimension tensor_frame = tensor_frame.unsqueeze(0)

video_capture.release() This example demonstrates a basic approach to extracting features from video frames using a pre-trained ResNet50 model. You can adapt it based on your specific requirements, such as changing the model, applying different transformations, or processing the features further. 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) # Add batch dimension tensor_frame = tensor_frame

# Read video video_capture = cv2.VideoCapture('da (3).mp4') such as changing the model