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"cells": [
{
"cell_type": "code",
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"id": "b8dc159c-47ba-4309-97f1-bef01de80582",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"Found 122635 videos. Starting scan with 64 threads...\n",
"\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Scanning Videos: 2%|▏ | 1909/122635 [00:48<48:14, 41.72file/s] "
]
}
],
"source": [
"import os\n",
"import cv2\n",
"from pathlib import Path\n",
"from concurrent.futures import ThreadPoolExecutor, as_completed\n",
"from tqdm import tqdm\n",
"\n",
"# --- OPENCV LOG SUPPRESSION ---\n",
"# OpenCV's C++ backend can be very noisy when it finds corrupted videos, \n",
"# which can visually break the tqdm progress bar. This suppresses those warnings.\n",
"os.environ[\"OPENCV_LOG_LEVEL\"] = \"FATAL\"\n",
"os.environ[\"OPENCV_FFMPEG_LOGLEVEL\"] = \"-8\"\n",
"\n",
"# --- CONFIGURATION ---\n",
"TARGET_FOLDER = r\"/workspace/musubi-tuner/dataset/ltxxx\" \n",
"MAX_THREADS = 64\n",
"# ---------------------\n",
"\n",
"def delete_corrupted(file_path, reason):\n",
" \"\"\"Helper function to handle the deletion and message formatting.\"\"\"\n",
" result_msg = f\"[CORRUPT] {reason}: {file_path.parent.name}/{file_path.name}\\n\"\n",
" result_msg += f\" -> Deleting {file_path.name}...\"\n",
" try:\n",
" file_path.unlink() # Deletes the video\n",
" return (\"CORRUPTED\", result_msg + \" SUCCESS.\")\n",
" except Exception as del_e:\n",
" return (\"CORRUPTED\", result_msg + f\" FAILED: {del_e}\")\n",
"\n",
"def process_video(file_path):\n",
" \"\"\"\n",
" Worker function executed by the threads. \n",
" Uses OpenCV to open the container and read the first frame.\n",
" \"\"\"\n",
" try:\n",
" # 1. Attempt to open the video container\n",
" cap = cv2.VideoCapture(str(file_path))\n",
" \n",
" if not cap.isOpened():\n",
" cap.release()\n",
" return delete_corrupted(file_path, \"OpenCV could not open the container\")\n",
" \n",
" # 2. Attempt to decode and read the very first frame\n",
" ret, frame = cap.read()\n",
" cap.release()\n",
" \n",
" if not ret:\n",
" # The container opened, but the video stream is empty or completely broken\n",
" return delete_corrupted(file_path, \"OpenCV could not read the first frame\")\n",
" \n",
" # If it passed both checks, it is a healthy, readable video\n",
" return (\"OK\", \"\")\n",
" \n",
" except Exception as e:\n",
" return (\"ERROR\", f\"[ERROR] Unexpected error processing {file_path.name}: {e}\")\n",
"\n",
"def check_and_clean_videos(base_path):\n",
" base_dir = Path(base_path)\n",
" \n",
" if not base_dir.is_dir():\n",
" print(f\"Error: The path '{base_dir}' is not a valid directory.\")\n",
" return\n",
"\n",
" video_extensions = {'.mp4', '.mkv', '.avi', '.mov', '.wmv', '.flv', '.webm', '.m4v'}\n",
" files_to_check =[]\n",
"\n",
" # 1. Gather all matching video files first\n",
" for folder in base_dir.iterdir():\n",
" if folder.is_dir() and folder.name.lower().startswith(\"videos\") and folder.name.lower() != \"videos\":\n",
" \n",
" # Using rglob(\"*\") to search recursively in case there are subfolders\n",
" for file_path in folder.rglob(\"*\"):\n",
" if file_path.is_file() and file_path.suffix.lower() in video_extensions:\n",
" files_to_check.append(file_path)\n",
"\n",
" if not files_to_check:\n",
" print(\"No videos found matching the criteria.\")\n",
" return\n",
"\n",
" print(f\"Found {len(files_to_check)} videos. Starting scan with {MAX_THREADS} threads...\\n\")\n",
"\n",
" # 2. Process the gathered files\n",
" with ThreadPoolExecutor(max_workers=MAX_THREADS) as executor:\n",
" futures = [executor.submit(process_video, path) for path in files_to_check]\n",
" \n",
" for future in tqdm(as_completed(futures), total=len(files_to_check), desc=\"Scanning Videos\", unit=\"file\"):\n",
" status, message = future.result()\n",
" \n",
" # If it's anything other than OK (like a corruption or unexpected error), print it.\n",
" if status != \"OK\":\n",
" tqdm.write(message)\n",
"\n",
"if __name__ == \"__main__\":\n",
" check_and_clean_videos(TARGET_FOLDER)\n",
" print(\"\\nScan complete.\")"
]
},
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