Max Buckley f65aeae5db Apple Silicon + Windows CUDA perf: 60 FPS pipeline, cross-platform routing ...

Bundles CoreML graph rewrites, GPU-accelerated pipeline work, Windows CUDA
fixes, and Mac/Windows runtime routing into a single drop.

CoreML (Apple Silicon):
- Decompose Pad(reflect) → Slice+Concat in inswapper_128 so the model
  runs in one CoreML partition instead of 14 (TEMPORARY: fixed upstream
  in microsoft/onnxruntime#28073, drop when ORT >= 1.26.0).
- Fold Shape/Gather chains to constants in det_10g (21ms → 4ms).
- Decompose Split(axis=1) → Slice pairs in GFPGAN (155ms → 89ms).
- Route detection model to GPU so the ANE is free for the swap model.
- Centralize provider/config selection in create_onnx_session.

Pipeline (all platforms):
- Parallelize face landmark + recognition post-detection; skip landmark_2d_106
  when only face_swapper is active.
- Pipeline face detection with swap for ANE overlap.
- GPU-accelerated paste_back, MJPEG capture, zero-copy display path.
- Standalone pipeline benchmark script.

Windows / CUDA:
- CUDA graphs + FP16 model + all-GPU pipeline for 1080p 60 FPS.
- Auto-detect GPU provider and fix DLL discovery for Windows CUDA execution.

Cross-platform:
- platform_info helper for Mac/Windows runtime routing.
- GFPGAN 30 fps + MSMF camera 60 fps with adaptive pipeline tuning.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-04-22 10:44:59 +02:00

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frame

Apple Silicon + Windows CUDA perf: 60 FPS pipeline, cross-platform routing

2026-04-22 10:44:59 +02:00

__init__.py

initial commit

2023-09-24 21:36:57 +08:00