## QA Verification Complete ✅ **Verdict:** PASSED - All requirements met, implementation working correctly ### Testing Summary - ✅ Video upscaling functionality verified (32x32 → 64x64 @ 6.85 FPS) - ✅ PyAV integration tested and working - ✅ tqdm progress bar functional - ✅ Audio preservation logic verified (ffmpeg integration) - ✅ CLI argument handling correct - ✅ File type detection accurate - ✅ No security vulnerabilities found - ✅ Code quality excellent (type hints, error handling, documentation) ### Evidence - Independent test script created and passed: /tmp/test_upscaler_video.py - Full QA report: /tmp/qa-FACE-10.md - All acceptance criteria satisfied - CLAUDE.md documentation comprehensive ### Metrics - Processing speed: 6.85 FPS (2x upscale, CUDA) - Memory: No leaks detected - Error handling: Robust with graceful degradation **Status:** Approved for production use

## Implementation Complete ### What was implemented: - Added `upscale_video()` method to the `Upscaler` class in `upscaler.py` (lines 365-534) - Video processing using PyAV for frame-by-frame reading/writing - Progress bar using tqdm for long video processing - Audio track preservation via ffmpeg (copies audio from source without re-encoding) ### CLI changes: - Updated CLI to auto-detect image vs video files - Added new options: `--no-audio`, `--crf`, `--codec` - Helper functions: `is_video_file()`, `is_image_file()` ### Testing: - Tested with 10-frame 64x64 synthetic video - Verified 2x upscaling produces correct 128x128 output - All 10 frames processed correctly at 7.8 FPS on CUDA ### Code summary: - `upscaler.py`: Added 375 new lines (19 modified) - `CLAUDE.md`: Added 21 lines of video upscaling documentation Commit: c1cd559f3 (merged to master)

## Feature Triage Complete **Status:** PARTIALLY IMPLEMENTED **Summary:** Image upscaling already exists in `upscaler.py` (2x/4x/8x scales, GPU acceleration, auto-download models). Video upscaling is NOT implemented. **What's Missing:** - Frame-by-frame video processing with PyAV - Progress reporting for long videos (tqdm) - Audio track preservation (ffmpeg copy) **Implementation Location:** - **Recommended:** Extend `upscaler.py` with `upscale_video()` method (rather than creating separate `evaluation/upscale.py`) - Patterns to follow: `swapper_tensor_video.py` has PyAV, audio copying, and tqdm progress patterns **Dependencies:** None new required - PyAV, tqdm, ffmpeg already available **Complexity:** Medium (100-200 lines, patterns exist in codebase) See attached triage report for full analysis including implementation approach and edge cases.