Da (3).mp4 ⭐

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.

# Process features as needed print(features.shape)

# Get features with torch.no_grad(): features = model(tensor_frame)

# Display or save frame if needed # ...

# Transform to apply to frames transform = transforms.Compose([ transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ])