Datasets:
Tasks:
Video Classification
Modalities:
Video
Languages:
English
Size:
10K<n<100K
Tags:
video
License:
File size: 9,626 Bytes
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import os
import subprocess
import json
from fractions import Fraction
import sys
import concurrent.futures
import time
import threading
def get_video_info(video_path):
cmd = [
"ffprobe", "-v", "error", "-show_entries",
"format=duration:stream=codec_type,r_frame_rate",
"-of", "json", "-i", video_path
]
try:
result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE,
text=True, timeout=45, check=False)
except subprocess.TimeoutExpired:
print(f"Probe timed out: {os.path.basename(video_path)}", file=sys.stderr)
return None
if result.returncode != 0:
error_msg = result.stderr.strip()
print(f"Probe error ({result.returncode}): {os.path.basename(video_path)} - {error_msg}", file=sys.stderr)
return None
try:
data = json.loads(result.stdout)
except json.JSONDecodeError:
print(f"JSON decode error: {os.path.basename(video_path)}", file=sys.stderr)
return None
duration = None
if "format" in data and "duration" in data["format"]:
try:
duration = float(data["format"]["duration"])
except (ValueError, TypeError):
print(f"Invalid duration format: {os.path.basename(video_path)}", file=sys.stderr)
return None
else:
print(f"No duration found: {os.path.basename(video_path)}", file=sys.stderr)
return None
fps = None
if "streams" in data:
for stream in data["streams"]:
if stream.get("codec_type") == "video" and "r_frame_rate" in stream:
fps_str = stream["r_frame_rate"]
if fps_str and fps_str != "0/0":
try:
fps = float(Fraction(*map(int, fps_str.split("/"))))
break
except (ValueError, ZeroDivisionError, TypeError):
print(f"Invalid FPS format '{fps_str}': {os.path.basename(video_path)}", file=sys.stderr)
else:
print(f"Invalid FPS value '{fps_str}': {os.path.basename(video_path)}", file=sys.stderr)
if duration is not None and fps is not None:
return {
"duration": duration,
"fps": fps
}
elif duration is not None:
print(f"No valid FPS found (duration was {duration:.2f}s): {os.path.basename(video_path)}", file=sys.stderr)
return None
else:
return None
def process_video(video_path, log_file_path, log_lock):
absolute_path = os.path.abspath(video_path)
base_name = os.path.basename(video_path)
status = "error"
try:
info = get_video_info(video_path)
if not info:
print(f"Skipping (probe error/missing info): {base_name}")
try:
os.remove(video_path)
print(f"Removed (probe error/missing info): {base_name}")
status = "removed"
except OSError as e:
print(f"Error removing {base_name}: {e}", file=sys.stderr)
status = "error"
else:
duration, fps = info["duration"], info["fps"]
remove_reason = None
if duration < 9.5 or duration > 10.5:
remove_reason = f"Duration {duration:.2f}s"
elif abs(fps-30) > 1:
remove_reason = f"FPS {fps:.2f}"
if remove_reason:
try:
os.remove(video_path)
print(f"Removed ({remove_reason}): {base_name}")
status = "removed"
except OSError as e:
print(f"Error removing {base_name}: {e}", file=sys.stderr)
status = "error"
else:
status = "kept"
except subprocess.TimeoutExpired:
print(f"Timeout processing: {base_name}", file=sys.stderr)
try:
os.remove(video_path)
print(f"Removed (timeout): {base_name}")
status = "removed"
except OSError as e:
print(f"Error removing {base_name}: {e}", file=sys.stderr)
status = "error"
except Exception as e:
print(f"Unexpected error processing {base_name}: {e}", file=sys.stderr)
try:
os.remove(video_path)
print(f"Removed (unexpected error): {base_name}")
status = "removed"
except OSError as e:
print(f"Error removing {base_name}: {e}", file=sys.stderr)
status = "error"
try:
with log_lock:
with open(log_file_path, 'a', encoding='utf-8') as log_f:
log_f.write(absolute_path + '\n')
except IOError as e:
print(f"CRITICAL: Failed to write to log file {log_file_path}: {e}", file=sys.stderr)
return status, absolute_path
def load_processed_files(log_file_path):
processed = set()
if os.path.exists(log_file_path):
try:
with open(log_file_path, 'r', encoding='utf-8') as f:
for line in f:
processed.add(line.strip())
except IOError as e:
print(f"Warning: Could not read log file {log_file_path}: {e}", file=sys.stderr)
return processed
def filter_videos_parallel(root_dir, log_file_path=".processed_videos.log", max_workers=None):
if max_workers is None:
max_workers = min(os.cpu_count() * 2, 16)
print(f"--- Starting resumable parallel video filtering in {root_dir} ---")
print(f"Using log file: {log_file_path}")
print(f"Max workers: {max_workers}")
start_time = time.time()
processed_files_set = load_processed_files(log_file_path)
print(f"Loaded {len(processed_files_set)} paths from log file.")
video_paths_to_process = []
total_files_found = 0
for dirpath, _, files in os.walk(root_dir):
for file in files:
if file.lower().endswith(".mp4"):
total_files_found += 1
absolute_path = os.path.abspath(os.path.join(dirpath, file))
if absolute_path not in processed_files_set:
video_paths_to_process.append(absolute_path)
skipped_count = total_files_found - len(video_paths_to_process)
total_to_process_this_run = len(video_paths_to_process)
print(f"Found {total_files_found} total MP4 files.")
if skipped_count > 0:
print(f"Skipping {skipped_count} files already processed (found in log).")
if not video_paths_to_process:
print("No new videos to process.")
return
print(f"Processing {total_to_process_this_run} new files...")
results = {"kept": 0, "removed": 0, "error": 0}
log_lock = threading.Lock()
completed_count = 0
progress_update_interval = 50
with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
future_to_path = {
executor.submit(process_video, path, log_file_path, log_lock): path
for path in video_paths_to_process
}
try:
for future in concurrent.futures.as_completed(future_to_path):
original_path = future_to_path[future]
try:
status, _ = future.result()
if status in results:
results[status] += 1
else:
print(f"Unknown status '{status}' received for {os.path.basename(original_path)}", file=sys.stderr)
results["error"] += 1
completed_count += 1
if completed_count % progress_update_interval == 0 or completed_count == total_to_process_this_run:
percent = (completed_count / total_to_process_this_run) * 100
progress_line = f"\rProgress: {completed_count} / {total_to_process_this_run} ({percent:.1f}%) completed. "
print(progress_line, end='', flush=True)
except Exception as exc:
print(f"\nException for {os.path.basename(original_path)} during result retrieval: {exc}", file=sys.stderr)
results["error"] += 1
completed_count += 1
try:
with log_lock:
with open(log_file_path, 'a', encoding='utf-8') as log_f:
log_f.write(os.path.abspath(original_path) + '\n')
except IOError as e:
print(f"CRITICAL: Failed to write to log file after exception for {original_path}: {e}", file=sys.stderr)
except KeyboardInterrupt:
print("\nUser interrupted. Shutting down workers...")
sys.exit(1)
print()
end_time = time.time()
print("\n--- Filtering Complete ---")
print(f"Files processed in this run: {total_to_process_this_run}")
print(f" Kept: {results['kept']}")
print(f" Removed: {results['removed']}")
print(f" Errors: {results['error']}")
print(f"Total files skipped (already processed): {skipped_count}")
print(f"Total time for this run: {end_time - start_time:.2f} seconds")
if __name__ == "__main__":
target_directory = "./train/train/"
script_dir = os.path.dirname(os.path.abspath(__file__))
log_file = os.path.join(script_dir, ".processed_videos.log")
if not os.path.isdir(target_directory):
print(f"Error: Target directory not found: {target_directory}", file=sys.stderr)
sys.exit(1)
filter_videos_parallel(target_directory, log_file_path=log_file) |