nan
4c902ed7db
- Implemented `image_plane.py` to build the Image Plane Geometry Nodes group with customizable parameters for geometry, subdivide, and thickness. - Created `image_plane_validation.py` to validate the functionality of the image plane, ensuring correct geometry generation and material assignment. - Developed `material_layers.py` to construct shader node groups for image materials, including depth and normal handling. - Authored `plane_layouts.py` to define node arrangements for image geometry assets. - Introduced `shadeless.py` to create a shadeless shader node group that displays color without scene lighting while preserving shadows and reflections.
50 lines
2.1 KiB
Python
50 lines
2.1 KiB
Python
import sys
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from pathlib import Path
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from types import SimpleNamespace
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from unittest.mock import patch
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import bpy
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import numpy as np
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from PIL import Image
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sys.path.insert(0, str(Path(__file__).parents[1] / "src"))
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from anyimage.operators.upscale import UpscaleImage
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from anyimage.common.image import image_pixels
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def test_upscale_result_replacement_undo_restores_source(tmp_path):
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source = bpy.data.images.new("Upscale undo source", width=8, height=8, alpha=True)
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source.pixels.foreach_set(np.ones(8*8*4, dtype=np.float32))
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source.pack()
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owner = bpy.data.objects.new("Upscale undo owner", None)
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owner.empty_display_type = "IMAGE"
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owner.data = source
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bpy.context.scene.collection.objects.link(owner)
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owner_name, source_name = owner.name, source.name
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before = image_pixels(source)
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Image.new("RGBA", (16,16), (32,64,96,128)).save(tmp_path / "upscale.0001.png")
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def execute(operator, context):
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operator.source_object_name = owner_name
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operator.source_image_name = source_name
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operator.model = "PISA_SR"
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operator.response(context, SimpleNamespace(directory=tmp_path))
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return {"FINISHED"}
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bpy.context.preferences.edit.use_global_undo = True
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with patch.object(UpscaleImage, "execute", execute), patch.object(
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UpscaleImage, "poll", classmethod(lambda cls, context: True)
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):
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bpy.utils.register_class(UpscaleImage)
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try:
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bpy.ops.ed.undo_push(message="Before Upscale")
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assert bpy.ops.anyimage.upscale_image("EXEC_DEFAULT", True) == {"FINISHED"}
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assert tuple(bpy.data.objects[owner_name].data.size) == (16,16)
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assert bpy.ops.ed.undo() == {"FINISHED"}
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restored = bpy.data.objects[owner_name].data
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assert tuple(restored.size) == (8,8)
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np.testing.assert_array_equal(image_pixels(restored), before)
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finally:
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bpy.utils.unregister_class(UpscaleImage)
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bpy.data.objects.remove(bpy.data.objects[owner_name], do_unlink=True)
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bpy.data.images.remove(bpy.data.images[source_name])
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