Address Sourcery review feedback on PR #1879:
- Move OPENVINO_PROVIDER_CONFIG from _onnx_enhancer.py to
platform_info.py (a leaf module with no modules.* imports), so
the enhancer and face_swapper no longer import each other just to
share a constant. _onnx_enhancer re-exports it; face_swapper now
imports it at module top level instead of inside get_face_swapper().
- Narrow run.py's SystemExit handling: catch SystemExit separately
and print a [startup] message so the failure is visible instead
of being swallowed alongside ImportError/FileNotFoundError.
- Add add_openvino_libs_to_path() call in run.py before any ONNX
InferenceSession creation to register openvino.dll directory
- Detect and advertise OpenVINOExecutionProvider in platform_info
banner and accelerator label
- Prioritize openvino over dml in suggest_default_execution_provider
- Configure OpenVINO EP with GPU + FP16 device options for optimal
performance (~13 FPS on Intel GPU vs ~1 FPS CPU fallback)
- Set thread hint to 1 when OpenVINO EP is active
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>
dunegym