Da (3).mp4 ✦ No Ads

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

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

# Process features as needed print(features.shape) # Load a pre-trained model model = torchvision