Add comprehensive tests for ONNX models and server jobs

- Introduced tests for the Moge3 ONNX model, including input validation, inference, and caching mechanisms.
- Added tests for ONNX runtime configurations and session management.
- Implemented tests for image upscaling functionality using ONNX models, ensuring proper handling of alpha channels and memory management.
- Created tests for panorama generation, verifying depth and visibility metrics.
- Developed tests for prediction artifacts, ensuring correct depth and normal data handling.
- Added server job tests for background removal and depth plane geometry generation, validating input handling and output correctness.
- Included environment tests to ensure proper dependency management and CI configurations.

pyproject.toml

@@ -9,21 +9,30 @@ dependencies = ["blendjob==0.1.17", "numpy>=1.26,<2.0", "scipy==1.15.3"]
 
 [dependency-groups]
 dev = [
+    "pillow==12.1.1",
+    "pip>=25,<27",
+    "pytest",
+]
+blender = [
     "bpy==4.5.3",
+]
+ai = [
     "huggingface-hub==1.4.1",
+    "onnxruntime==1.24.4",
+    "trimesh==4.11.2",
+]
+models = [
+    "onnx==1.19.0",
+    "onnxruntime==1.24.4",
+    "torch==2.13.0",
+]
+docs = [
     "mike>=2.1.3,<3",
     "mkdocs>=1.6.1,<2",
     "mkdocs-click==0.9.0",
     "mkdocs-material>=9.6.16,<10",
     "mkdocs-static-i18n[material]>=1.3.0",
     "mkdocstrings[python]>=1.0.6",
-    "onnx==1.19.0",
-    "onnxruntime==1.24.4",
-    "pillow==12.1.1",
-    "pip>=25,<27",
-    "pytest",
-    "torch==2.13.0",
-    "trimesh==4.11.2",
 ]
 
 [project.scripts]