Anal Friend Request.mp4 Info

# 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]) ])

# Reshape for model video_tensor = video_tensor.unsqueeze(0) # Add batch dimension 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. # Prepare a transform for preprocessing frames transform

# Extract features with torch.no_grad(): features = model(video_tensor) anal friend request.mp4

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