# Extract features with torch.no_grad(): outputs = model(inputs) return outputs.detach().cpu().numpy()
If you're interested in developing a deep feature for analyzing video content in general, here's a broad overview: # Extract features with torch
: Once the model is fine-tuned, you can extract features from your videos. This typically involves taking the output of one of the layers (often a layer before the final classification layer) as the feature representation. resizing them to a uniform size
: Preprocess your video data. This can involve converting videos into frames, resizing them to a uniform size, and possibly applying data augmentation techniques. such as clustering videos
: Finally, use these features for your specific application, such as clustering videos, classifying them, or using them for retrieval tasks.