Add new tests and functionality for image processing and geometry handling

- Introduced color_image.py for preparing standalone color images for tests.
- Added hdr_image.py to create HDR textures for testing.
- Implemented test_image_depth_panorama.py to evaluate panorama topology, UVs, and depth discontinuities.
- Created test_shadeless.py to validate the opacity and HDR color endpoints of the Shadeless group.
- Developed moge3_export.py for exporting dynamic MoGe-3 backbone and ONNX graphs.
- Added material.py to inherit material slots onto generated geometry.
- Built image_depth_panorama.py to construct a quad panorama with depth separation and sampling.

tests/anyimage/common/test_alpha_presentation.py

@@ -7,41 +7,39 @@ from PIL import Image
 
 
 from anyimage.common import image as images
-from anyimage.operators.convert_to_plane.object import create_color_image
-from anyimage.operators.cutout_tool.object import create_cropped_color_image
+from tests.support.color_image import color_image
 
 
 @pytest.mark.parametrize("floating", [False, True])
 def test_owned_color_images_preserve_source_and_use_premul(floating):
     original = bpy.data.images.new("Alpha source", width=2, height=2, alpha=True, float_buffer=floating)
+    if floating:
+        original.alpha_mode = "PREMUL"
     rgba = np.tile(np.array([0.2, 0.4, 0.8, 0.25], dtype=np.float32), (2, 2, 1))
     original.pixels.foreach_set(rgba.ravel())
     source = SimpleNamespace(data=original)
     expected = images.image_rgba(original)
-    copied = create_color_image(source)
-    cropped = create_cropped_color_image(source, (0, 0, 2, 2), expected)
+    cropped = color_image(source.data, (0, 0, 2, 2), expected)
     edited = images.create_image_edit_result(original, rgba.ravel(), (2, 2))
     try:
-        assert original.alpha_mode == "STRAIGHT"
+        assert original.alpha_mode == ("PREMUL" if floating else "STRAIGHT")
         np.testing.assert_allclose(images.image_rgba(original), expected)
         assert edited.alpha_mode == original.alpha_mode
-        for image in (copied, cropped):
-            assert image.alpha_mode == "PREMUL"
+        for image in (cropped,):
+            assert image.alpha_mode == original.alpha_mode
             np.testing.assert_allclose(images.image_rgba(image), expected, atol=1 / 255)
     finally:
-        for image in (copied, cropped, edited, original):
+        for image in (cropped, edited, original):
             bpy.data.images.remove(image)
 
 
-@pytest.mark.parametrize("loader", [images.load_image_edit_result, images.load_color_result_image])
-def test_job_loader_uses_edit_or_material_alpha_policy(tmp_path, loader):
+def test_job_loader_preserves_edit_alpha_policy(tmp_path):
     rgba = np.array([[[51, 102, 204, 64]]], dtype=np.uint8)
     Image.fromarray(rgba).save(tmp_path / "image.0001.png")
     original = bpy.data.images.new("Job source", width=1, height=1, alpha=True)
-    source = original if loader == images.load_image_edit_result else SimpleNamespace(data=original)
-    result = loader(source, tmp_path)
+    result = images.load_image_edit_result(original, tmp_path)
     try:
-        assert result.alpha_mode == ("STRAIGHT" if loader == images.load_image_edit_result else "PREMUL")
+        assert result.alpha_mode == "STRAIGHT"
         assert result.packed_file is not None
         assert original.alpha_mode == "STRAIGHT"
     finally: