- 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.
20 lines
771 B
TOML
20 lines
771 B
TOML
schema_version = 1
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[uv]
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version = "0.11.3"
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[platforms.windows-x64]
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filename = "uv-x86_64-pc-windows-msvc.zip"
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url = "https://github.com/astral-sh/uv/releases/download/0.11.3/uv-x86_64-pc-windows-msvc.zip"
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sha256 = "ae681c0aaec7cc96af184648cb88d73f8393ed60fa5880abdd6bdb910f9b227c"
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[platforms.macos-arm64]
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filename = "uv-aarch64-apple-darwin.tar.gz"
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url = "https://github.com/astral-sh/uv/releases/download/0.11.3/uv-aarch64-apple-darwin.tar.gz"
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sha256 = "2bc3d0c7bf2bd08325b1e170abac6f7e5b3346e1d4eab3370d17cefec934996f"
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[platforms.linux-x64]
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filename = "uv-x86_64-unknown-linux-gnu.tar.gz"
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url = "https://github.com/astral-sh/uv/releases/download/0.11.3/uv-x86_64-unknown-linux-gnu.tar.gz"
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sha256 = "c0f3236f146e55472663cfbcc9be3042a9f1092275bbe3fe2a56a6cbfd3da5ce"
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