Add ONNX model inference implementations for MoGe-2, BEN2, and DA3

- Introduced `onnx_moge2.py` for MoGe-2 ONNX inference with NumPy post-processing.
- Added `onnx_ben2.py` for BEN2 ONNX inference with Pillow and NumPy preprocessing.
- Created `onnx_da3.py` for Depth Anything 3 inference with ONNX Runtime and NumPy.
- Implemented shared ONNX Runtime session helpers in `onnx_runtime.py`.
- Developed unit tests for server functionalities in `test_server.py`, including model caching and job management.
- Enhanced job server to handle frame extraction without requiring models.

docs/index.md

@@ -6,6 +6,6 @@
 - [Depth Plane](depth-plane.md)：深度面片的数据、节点与材质流程
 - [Surface](surface.md)：透视网格、Geometry Nodes 后处理与材质法线
 - [输出格式](outputs.md)：Debug 输出类型、参数和任务产物
-- [AI Service](service.md)：Environment、模型缓存、任务目录与运行机制
+- [Job Server](server.md)：Environment、模型缓存、任务目录与运行机制
 - [BlendJob 开发者指南](blendjob.md)：可复用 Job Server、Blender Client 与装饰器注册 API
 - [开发与许可证](development.md)：开发验证、打包、上游版本与许可证