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.
This commit is contained in:
2026-09-12 19:20:06 +08:00
parent e8268504c2
commit 938d95db0f
175 changed files with 3812 additions and 6864 deletions

View File

@@ -21,11 +21,11 @@ class AiImageOperatorsTest(BlenderTestCase):
self.assertEqual(operator_type.bl_options, {"UNDO"})
operator = operator_type()
operator.input_path = "input.png"
operator._image_target = SimpleNamespace(start_frame=4)
operator._image_target = SimpleNamespace()
operator.model = "HAT_GAN_X4_SHARPER"
operator.max_input_size = 1024
context = SimpleNamespace(
scene=SimpleNamespace(anyimage_settings=SimpleNamespace(video_frames=7))
scene=SimpleNamespace(anyimage_settings=SimpleNamespace())
)
with (
patch.object(self.upscale, "require_environment"),
@@ -44,8 +44,6 @@ class AiImageOperatorsTest(BlenderTestCase):
"input": "input.png",
"model": "HAT_GAN_X4_SHARPER",
"device": "cuda",
"video_frames": 7,
"start_frame": 4,
"max_input_size": 1024,
},
)
@@ -89,7 +87,7 @@ class AiImageOperatorsTest(BlenderTestCase):
def test_remove_background_loads_a_plain_image_edit_result(self):
result = SimpleNamespace(directory=Path("result"))
result = SimpleNamespace(file=lambda key: Path("result") / f"{key}.png")
operator = self.remove_background.RunBackgroundRemoval()
operator._image_target = Mock()
ops = SimpleNamespace(
@@ -100,12 +98,12 @@ class AiImageOperatorsTest(BlenderTestCase):
):
operator.response(None, result)
operator._image_target.apply.assert_called_once_with(Path("result"))
operator._image_target.apply.assert_called_once_with(Path("result/foreground.png"))
ops.ed.undo_push.assert_called_once_with(message="Remove Background")
def test_upscale_loads_a_plain_image_edit_result(self):
result = SimpleNamespace(directory=Path("result"))
result = SimpleNamespace(file=lambda key: Path("result") / f"{key}.png")
operator = self.upscale.UpscaleImage()
operator._image_target = Mock()
operator.model = "HAT_GAN_X4_SHARPER"
@@ -119,7 +117,6 @@ class AiImageOperatorsTest(BlenderTestCase):
message = operator.response(None, result)
operator._image_target.apply.assert_called_once_with(
Path("result"),
frame_prefix="upscale.",
Path("result/upscale.png"),
)
self.assertEqual(message, "Image is upscaled with HAT Sharper")