Da (3).mp4 Access

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

# Process features as needed print(features.shape) da (3).mp4

# Display or save frame if needed # ...

# Read video video_capture = cv2.VideoCapture('da (3).mp4') # Load a pre-trained model model = torchvision

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. such as changing the model