Refactor image handling and update foreground processing
- Changed the logic in `remove_background_faces` to keep only faces with all foreground vertices. - Updated background job to save foreground images with a new naming convention (`color.0001.png`). - Replaced `copy_frames` with `copy_color_images` in various jobs to ensure consistent image naming. - Introduced a new function `copy_color_images` to handle the copying of images with a specific naming format. - Updated the BEN2 model to save output images with a new prefix for better clarity. - Modified tests to reflect changes in image naming and processing logic. - Added a new shadeless node group for improved material handling in geometry nodes. - Enhanced validation scripts to check for new image naming conventions and ensure proper functionality.
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@@ -291,12 +291,12 @@ class ImageDepthTest(unittest.TestCase):
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"微信视频2026-07-23_192756_414",
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)
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def test_removed_background_name_strips_video_extension(self):
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def test_color_name_strips_video_extension(self):
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source_object = SimpleNamespace(data=SimpleNamespace(name="clip.mp4"))
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self.assertEqual(
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self.image_depth.removed_background_data_name(source_object),
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"clip.foreground",
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self.image_depth.color_data_name(source_object),
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"clip.color",
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)
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def test_force_sequence_source_keeps_loaded_sequence(self):
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@@ -634,19 +634,19 @@ class ImageDepthTest(unittest.TestCase):
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self.assertEqual(depth_image.name, "img.depth")
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def test_removed_background_name_uses_source_image_base_name(self):
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def test_color_name_uses_source_image_base_name(self):
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source_object = SimpleNamespace(
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data=SimpleNamespace(name="img.png"),
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)
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self.assertEqual(
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self.image_depth.removed_background_data_name(source_object),
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"img.foreground",
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self.image_depth.color_data_name(source_object),
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"img.color",
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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.image_depth.removed_background_data_name(source_object),
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"img.001.foreground",
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self.image_depth.color_data_name(source_object),
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"img.001.color",
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)
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def test_surface_displacement_is_set_to_displacement_only(self):
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