Add new functionality for image rectification and depth metadata handling

- Implemented a preview tool for rectifying images with interactive aspect controls in `preview.py`.
- Added tests for depth metadata loading to ensure consistent schema usage in `test_depth_metadata.py`.
- Developed comprehensive tests for cutout calibration processes in `test_cutout_calibration.py`, including stability checks and depth calibration.
- Created tests for frame compositing operations in `test_frame_compositing.py`, ensuring correct handling of depth and transparency.
- Introduced material slot inheritance functionality in `material_slots.py` to manage geometry material assignments.
- Built shared shader nodes for material processing in `shader.py`, including roughness and bump mapping setups.

tests/anyimage/server/test_model_geometry.py

@@ -3,26 +3,9 @@ import numpy as np
 
 
 from anyimage.server.models import moge as moge2_model
-from anyimage.server.models.geometry import GeometryFrame
 
 
-def test_geometry_frame_requires_matching_float32_fields():
-    with np.testing.assert_raises_regex(ValueError, "validity"):
-        GeometryFrame(
-            depth=np.ones((2, 2), dtype=np.float32),
-            validity=np.ones((1, 2), dtype=np.float32),
-            intrinsics=np.eye(3, dtype=np.float32),
-        )
-    with np.testing.assert_raises_regex(ValueError, "normal"):
-        GeometryFrame(
-            depth=np.ones((2, 2), dtype=np.float32),
-            validity=np.ones((2, 2), dtype=np.float32),
-            intrinsics=np.eye(3, dtype=np.float32),
-            normal=np.ones((2, 2, 2), dtype=np.float32),
-        )
-
-
-def test_moge_infer_returns_geometry_frames_with_model_validity():
+def test_moge_infer_returns_geometry_frame_with_model_validity():
     mask = np.asarray(((1.0, 0.2), (0.7, 0.0)), dtype=np.float32)
     prediction = {
         "depth": np.ones((2, 2), dtype=np.float32),
@@ -36,10 +19,8 @@ def test_moge_infer_returns_geometry_frames_with_model_validity():
     }
 
     with patch.object(moge2_model, "infer_one", return_value=prediction):
-        frames = moge2_model.infer(None, {}, ["image"], include_points=True)
+        frame = moge2_model.infer(None, {}, "image", include_points=True)
 
-    assert len(frames) == 1
-    frame = frames[0]
     assert np.array_equal(frame.validity, mask.astype(np.float32))
     assert np.array_equal(frame.normal, prediction["normal"])
     assert np.array_equal(frame.points, prediction["points"])
@@ -59,7 +40,7 @@ def test_moge_z_depth_frame_does_not_require_points():
     }
 
     with patch.object(moge2_model, "infer_one", return_value=prediction):
-        frame = moge2_model.infer(None, {}, ["image"], include_points=False)[0]
+        frame = moge2_model.infer(None, {}, "image", include_points=False)
 
     assert frame.points is None
     assert frame.validity.all()