37553163db
- Added FFmpegVideoConverter for video format conversion using FFmpeg. - Implemented NoOpVideoConverter for scenarios where FFmpeg is unavailable. - Created OpenCVMetadataExtractor for extracting video metadata. - Developed FileSystemVideoRepository for managing video files in the file system. - Integrated video services with dependency injection in VideoModule. - Established API routes for video management and streaming. - Added request/response schemas for video metadata and streaming information. - Implemented caching mechanisms for video streaming. - Included error handling and logging throughout the module.
37 lines
815 B
Python
37 lines
815 B
Python
#!/usr/bin/env python3
|
|
"""
|
|
Service script to run the standalone auto-recorder
|
|
|
|
Usage:
|
|
sudo python run_auto_recorder.py
|
|
"""
|
|
|
|
import sys
|
|
import os
|
|
from pathlib import Path
|
|
|
|
# Add the project root to the path
|
|
project_root = Path(__file__).parent
|
|
sys.path.insert(0, str(project_root))
|
|
|
|
from usda_vision_system.recording.standalone_auto_recorder import StandaloneAutoRecorder
|
|
|
|
|
|
def main():
|
|
"""Main entry point"""
|
|
print("🚀 Starting USDA Vision Auto-Recorder Service")
|
|
|
|
# Check if running as root
|
|
if os.geteuid() != 0:
|
|
print("❌ This script must be run as root (use sudo)")
|
|
print(" sudo python run_auto_recorder.py")
|
|
sys.exit(1)
|
|
|
|
# Create and run auto-recorder
|
|
recorder = StandaloneAutoRecorder()
|
|
recorder.run()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|