Request.mp4 | Anal Friend

# Reshape for model video_tensor = video_tensor.unsqueeze(0) # Add batch dimension

print(features.shape) The extracted features can be used for various downstream tasks such as video clustering, similarity search, classification, etc. anal friend request.mp4

# Assuming 'video_path' is your video file video_path = 'anal friend request.mp4' video_tensor = video_to_tensor(video_path) # Reshape for model video_tensor = video_tensor

# Prepare a transform for preprocessing frames transform = transforms.Compose([ transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) anal friend request.mp4

import torch import torch.nn as nn import torchvision import torchvision.transforms as transforms import cv2