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.

src/snapform/blender_manifest.toml

@@ -12,7 +12,7 @@ platforms = ["windows-x64", "macos-arm64", "linux-x64"]
 license = ["SPDX:GPL-3.0-or-later"]
 
 [permissions]
-network = "Access the local Service and download environment dependencies and model weights"
+network = "Access the local Job Server and download environment dependencies and model weights"
 files = "Read source images and store environment data"
 
 [build]