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# Extract feature def extract_feature(video_path): frames = extract_frames_and_transform(video_path) features = [] with torch.no_grad(): for frame in frames: input = frame.unsqueeze(0) output = model(input) features.append(output.squeeze(0)) # Aggregate features (e.g., mean) aggregated_feature = torch.mean(torch.stack(features), dim=0) return aggregated_feature