Anal Friend Request.mp4 [WORKING]

# Extract features with torch.no_grad(): features = model(video_tensor)

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

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

# 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]) ])

# Load a pre-trained model model = torchvision.models.video.i3d_resnet50(pretrained=True) # Extract features with torch

# 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

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