Optimize performance with parallel processing and faster compression settings - #3
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…settings - Add parallel image processing using threading (default: CPU core count) - Convert JPEG XL and WebP simultaneously for each image - Reduce JPEG XL effort from 9 to 7 (faster with minimal size difference) - Reduce WebP method from 6 to 4 (faster with minimal size difference) - Skip files already in optimized formats (JXL/WebP) - Add --workers flag to control parallelism - Update README with performance optimizations documentation Expected speed improvements: 4-8x faster overall processing time
The exc_info=True parameter only works within an active exception handler. Moved exception logging with full traceback to worker thread where exceptions occur, and removed exc_info=True from main thread where we only have error message strings.
The multi-threaded path was missing hang detection that exists in the single-threaded path. Added timeout to result_queue.get() and implemented hang detection logic with notifications to match single-threaded behavior. - Add timeout to result_queue.get() to prevent indefinite blocking - Implement hang detection checking every 60 seconds - Identify and report stuck images when no progress for 5+ minutes - Send notifications matching single-threaded path behavior
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Summary
This PR implements several performance optimizations to significantly speed up image processing, along with critical bug fixes.
Changes
--workersflag to control parallelismPerformance Improvements
Bug Fixes
exc_info=Trueto worker thread where exception context existsTesting
Documentation
--workersflag