133b2ac330
ROOT CAUSE IDENTIFIED: - Video capture module still had complex performance optimization code - Frame skipping, performance metrics, buffer management causing overhead - _update_performance_metrics() function adding processing time - Complex read() method with timing calculations FIXES APPLIED: - Removed all performance tracking from VideoCapturer - Removed frame skipping logic (frame_counter, frame_skip) - Removed performance metrics (frame_times, current_fps) - Removed buffer management (frame_buffer, buffer_lock) - Simplified read() method to original basic version BACK TO ORIGINAL: - Simple video capture without any optimization overhead - Basic read() method - just capture and return frame - No performance monitoring or adaptive processing - Clean, fast video capture like original Deep-Live-Cam EXPECTED RESULT: - Should restore original excellent FPS performance - No video capture overhead - Simple, fast frame reading - Back to the performance you had with first code This was the FPS bottleneck - video capture optimization was the culprit! |
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| .. | ||
| processors | ||
| __init__.py | ||
| capturer.py | ||
| cluster_analysis.py | ||
| core.py | ||
| face_analyser.py | ||
| face_tracker.py | ||
| gettext.py | ||
| globals.py | ||
| live_face_swapper.py | ||
| metadata.py | ||
| performance_manager.py | ||
| performance_optimizer.py | ||
| predicter.py | ||
| typing.py | ||
| ui.json | ||
| ui.py | ||
| utilities.py | ||
| video_capture.py | ||