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: Finally, use these features for your specific application, such as clustering videos, classifying them, or using them for retrieval tasks.

import torch import torch.nn as nn import torchvision import torchvision.transforms as transforms : Finally, use these features for your specific

: Select a pre-trained model that can serve as a foundation for your feature extraction. Models like convolutional neural networks (CNNs) for image-based features or 3D CNNs, two-stream networks, and transformer-based models for video are commonly used. such as clustering videos

This example simplifies the process and focuses on conceptual steps. Detailed implementation depends on your dataset, specific requirements, and chosen models. and chosen models.