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nan 2ad30bf4a3 feat: Implement ONNX model inference for BEN2, Depth Anything 3, and MoGe
- Added `ben2_onnx.py` for BEN2 ONNX inference with preprocessing.
- Introduced `da3_onnx.py` for Depth Anything 3 inference, including camera projection calculations.
- Created `moge_onnx.py` for MoGe-2 ONNX inference and post-processing.
- Implemented shared ONNX Runtime session helpers in `onnx_runtime.py`.
- Added model synchronization script `sync_models.py` for downloading and verifying ONNX models.
- Developed unit tests for BEN2, Depth Anything 3, and MoGe ONNX models to ensure functionality.
- Updated `vendor.lock.toml` to remove unused artifacts.
2026-08-14 10:27:09 +08:00

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__pycache__/
*.py[cod]
.venv/
.uv-cache/
dist/
build/
*.zip
.pytest_cache/
/vendor/
/models/