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AnyImage/docs/development.md
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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开发与许可证

开发

uv run python prepare_vendor.py
uv run pytest tests -v
uv run python pack.py

项目结构:

.
├── vendor.lock.toml        各平台 uv 的版本、URL 与 SHA-256
├── prepare_vendor.py       下载并校验各平台 uv
├── pack.py
├── vendor/                 不进入 Git 的 uv 下载缓存
├── src/
│   └── snapform/
│       ├── blender_manifest.toml
│       ├── service.py
│       ├── install_env.py
│       ├── models.py
│       ├── image_depth.py
│       ├── operators.py
│       ├── panel.py
│       ├── preferences.py
│       ├── properties.py
│       ├── client.py
│       └── worker.py
└── tests/

上游与许可证

  • Depth Anything 3 代码采用 Apache 2.0。
  • BEN2 ONNX 模型采用其仓库声明的 Apache 2.0 License。
  • 本 Extension 代码采用 GPL-3.0-or-later。
  • 模型权重许可证由所选 Hugging Face 模型仓库决定,Extension 下载前会在界面显示。