# Load a pre-trained model model = torchvision.models.video.i3d_resnet50(pretrained=True)
import torch import torch.nn as nn import torchvision import torchvision.transforms as transforms import cv2 anal friend request.mp4
print(features.shape) The extracted features can be used for various downstream tasks such as video clustering, similarity search, classification, etc. # Load a pre-trained model model = torchvision
# Modify the model to output features num_ftrs = model.fc.in_features model.fc = nn.Identity() # Replace the classification layer with an identity function anal friend request.mp4