cmoyates 4bad586112 feat: add CorridorKeyMLXEngine integration surface ... Drop-in MLX backend for main CorridorKey repo. Engine class wraps existing model/inference with process_frame() API returning alpha, fg, comp, processed as uint8 numpy arrays. Lowers Python to >=3.11, removes unused deps, adds smoke script and 16 contract tests. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>		2026-03-01 06:43:07 -03:30
..
bench_mlx.py	feat(phase6): optimization, benchmarking, and tiled inference	2026-03-01 06:24:10 -03:30
compare_reference.py	feat(phase6): optimization, benchmarking, and tiled inference	2026-03-01 06:24:10 -03:30
convert_weights.py	feat(phase3): PyTorch→MLX weight converter (#1)	2026-03-01 05:16:56 -03:30
dump_pytorch_reference.py	feat(phase2): MLX decoder + refiner with parity tests	2026-03-01 05:00:00 -03:30
infer.py	fix: resize inputs to model img_size, use infer_and_save in CLI	2026-03-01 06:11:57 -03:30
smoke_engine.py	feat: add CorridorKeyMLXEngine integration surface	2026-03-01 06:43:07 -03:30