download_model.py

#!/usr/bin/env python3
"""
Script to download the TSN model checkpoint for GenVidBench
"""

import os
import requests
from tqdm import tqdm

def download_file(url, filename):
    """Download a file with progress bar"""
    response = requests.get(url, stream=True)
    total_size = int(response.headers.get('content-length', 0))
    
    with open(filename, 'wb') as f, tqdm(
        desc=filename,
        total=total_size,
        unit='iB',
        unit_scale=True,
        unit_divisor=1024,
    ) as pbar:
        for chunk in response.iter_content(chunk_size=8192):
            size = f.write(chunk)
            pbar.update(size)

def main():
    """Download the TSN model checkpoint"""
    # Create checkpoints directory
    os.makedirs('checkpoints', exist_ok=True)
    
    # Model checkpoint URL (you may need to update this with the actual URL)
    checkpoint_url = "https://download.openmmlab.com/mmaction/v1.0/recognition/tsn/tsn_r50_8xb32-1x1x8-100e_kinetics400-rgb/tsn_r50_8xb32-1x1x8-100e_kinetics400-rgb_20220818-2692d16c.pth"
    checkpoint_path = "checkpoints/tsn_r50_8xb32-1x1x8-100e_kinetics400-rgb_20220818-2692d16c.pth"
    
    if os.path.exists(checkpoint_path):
        print(f"Checkpoint already exists: {checkpoint_path}")
        return
    
    print(f"Downloading TSN model checkpoint...")
    print(f"URL: {checkpoint_url}")
    print(f"Destination: {checkpoint_path}")
    
    try:
        download_file(checkpoint_url, checkpoint_path)
        print(f"✅ Successfully downloaded checkpoint to {checkpoint_path}")
    except Exception as e:
        print(f"❌ Error downloading checkpoint: {e}")
        print("Please download the checkpoint manually and place it in the checkpoints/ directory")

if __name__ == "__main__":
    main()