Anal Friend Request.mp4 | REAL |

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

# 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 # Assuming 'video_path' is your video file video_path

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

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

# Modify the model to output features num_ftrs = model.fc.in_features model.fc = nn.Identity() # Replace the classification layer with an identity function