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features = extract_features(model, frames_tensor) print(features.shape) You might want to save these features for later use:

video_path = '22241.mp4' frames_tensor = load_video(video_path) def extract_features(model, video_tensor): # This may need to be adjusted based on the model and the input requirements inputs = video_tensor.unsqueeze(0) # Add batch dimension with torch.no_grad(): features = model(inputs) return features.squeeze() 22241mp4

import torch import torchvision import torchvision.transforms as transforms from torchvision import models features = extract_features(model

pip install torch torchvision We'll use the SlowFast model pre-trained on Kinetics-400. This example assumes you're familiar with PyTorch basics. 22241mp4

import cv2 import numpy as np