nan
591e62085a
- Introduced a new `Boundary Padding` preference in the Cutout Tool with a default of 2 px and a configurable range of 1-4 px. - Updated the Cutout client to establish inward mapping from the final Mask, sampling in a fixed direction and processing independent material RGBA and Depth. - Enhanced the handling of RGBA and Depth during cutout operations, ensuring proper mapping and preservation of source data. - Added tests to validate the new boundary padding functionality and its integration with existing cutout processes. feat(geometry): remove overall mesh smoothing from geometry nodes - Removed the `Smooth` input from several geometry node groups to eliminate unnecessary overall mesh smoothing. - Retained `Smooth Weight` for depth nodes while removing it from Cutout and Relief Plane nodes. - Ensured that boundary, normal, and fill smoothing behaviors remain intact and consistent. - Updated tests and documentation to reflect the changes in node interfaces and behaviors. feat(normals): scale tangent normals with depth - Reused the existing `o_normal_reduction` attribute to adjust Tangent Normal strength based on the geometry's `Depth Scale`. - Ensured that Tangent Normal strength is consistent with the geometry depth, preserving full strength for materials that do not provide the attribute. - Updated tests to verify the correct behavior of normal strength adjustments in both Tangent and Object Space.
109 lines
3.4 KiB
Python
109 lines
3.4 KiB
Python
import unittest
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from types import SimpleNamespace
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from tests.anyimage.common.support import load_common_modules
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class ImageDataTest(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.modules = load_common_modules()
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def test_is_animated_image_accepts_movie_and_sequence(self):
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self.assertTrue(
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self.modules.image.is_animated_image(SimpleNamespace(source="MOVIE"))
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)
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self.assertTrue(
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self.modules.image.is_animated_image(SimpleNamespace(source="SEQUENCE"))
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)
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self.assertFalse(
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self.modules.image.is_animated_image(SimpleNamespace(source="FILE"))
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)
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def test_panorama_crop_bounds_returns_largest_centered_two_to_one_region(self):
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cases = (
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((32, 16), (0, 0, 32, 16)),
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((40, 16), (4, 0, 36, 16)),
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((30, 20), (0, 2, 30, 17)),
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((31, 20), (0, 2, 30, 17)),
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((35, 16), (1, 0, 33, 16)),
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)
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for size, expected in cases:
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with self.subTest(size=size):
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self.assertEqual(
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self.modules.image.panorama_crop_bounds(*size), expected
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)
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def test_panorama_crop_bounds_rejects_unusable_dimensions(self):
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for size in ((0, 1), (1, 1), (2, 0), (-2, 1)):
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with self.subTest(size=size):
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with self.assertRaisesRegex(ValueError, "at least 2 x 1 pixels"):
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self.modules.image.panorama_crop_bounds(*size)
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def test_image_user_settings_reads_empty_values(self):
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source_object = SimpleNamespace(
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image_user=SimpleNamespace(
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frame_start=4,
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frame_offset=70,
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frame_duration=12,
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)
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)
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self.assertEqual(
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self.modules.image.image_user_settings(source_object),
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(4, 70, 12, False),
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)
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source_object.image_user.use_cyclic = True
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self.assertEqual(
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self.modules.image.image_user_settings(source_object),
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(4, 70, 12, True),
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)
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def test_image_user_settings_defaults_without_user(self):
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self.assertEqual(
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self.modules.image.image_user_settings(SimpleNamespace(image_user=None)),
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(1, 0, 0, False),
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)
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def test_depth_data_uses_source_image_name(self):
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source_object = SimpleNamespace(
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name="obj_img",
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data=SimpleNamespace(name="img.png"),
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)
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self.assertEqual(
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self.modules.image.depth_data_name(source_object),
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"img_depth.exr",
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)
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source_object.data.name = "img.png.001"
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self.assertEqual(
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self.modules.image.depth_data_name(source_object),
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"img.001_depth.exr",
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)
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def test_moge_normal_name_uses_source_image_name(self):
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source_object = SimpleNamespace(
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name="obj_img",
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data=SimpleNamespace(name="img.png"),
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)
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self.assertEqual(
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self.modules.image.normal_data_name(source_object),
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"img_normal.png",
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)
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def test_image_empty_bounds_keep_image_aspect_and_empty_offset(self):
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source = SimpleNamespace(
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data=SimpleNamespace(size=(800, 400)),
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empty_display_size=2.0,
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empty_image_offset=(-0.5, -0.5),
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)
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bounds = self.modules.image.image_empty_bounds(source)
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self.assertEqual(bounds, (-1.0, 1.0, -0.5, 0.5))
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