22241mp4 | Deluxe |

def prepare_model(): model = models.video.slowfast_r50_2x16x32_featurizer(pretrained=True) model.eval() # Set the model to evaluation mode return model

import torch import torchvision import torchvision.transforms as transforms from torchvision import models 22241mp4

pip install torch torchvision We'll use the SlowFast model pre-trained on Kinetics-400. This example assumes you're familiar with PyTorch basics. def prepare_model(): model = models

features = extract_features(model, frames_tensor) print(features.shape) You might want to save these features for later use: 22241mp4