nan
938d95db0f
- 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.
61 lines
2.6 KiB
Python
61 lines
2.6 KiB
Python
import hashlib
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from unittest.mock import patch
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import numpy as np
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import pytest
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from PIL import Image
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from server import model_catalog
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from server.jobs import remove_background
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from server.model_manager import ModelManager
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from server.models import background
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from tests.anyimage.server.support import FakeJobContext
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@pytest.mark.parametrize("key", model_catalog.BACKGROUND_MODELS)
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@pytest.mark.parametrize("kind", ["foreground", "alpha"])
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def test_models_dispatch_keep_alpha(tmp_path, key, kind):
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source = tmp_path / "source.png"
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Image.new("RGBA", (7, 5), (60, 120, 180, 128)).save(source)
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manager = ModelManager(tmp_path / "models")
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context = FakeJobContext(tmp_path / "job", "remove-background", manager)
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adapter = background.model_adapter(manager.directory(key))
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parameters = {"input": str(source), "model": key, "device": "directml"}
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if kind == "alpha":
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parameters["output_kind"] = kind
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with patch.object(adapter, "create_session", return_value=object()) as create, patch.object(
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adapter, "infer_alpha", return_value=np.full((5, 7), .4, np.float32)
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) as infer:
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remove_background.run(context, parameters)
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create.assert_called_once_with(manager.directory(key), "cpu" if key == "BIREFNET_HR_MATTING" else "directml")
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infer.assert_called_once()
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if kind == "alpha":
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np.testing.assert_allclose(np.load(context.directory / "alpha.npy"), .4)
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else:
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outputs = sorted(context.directory.glob("*.png"))
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assert len(outputs) == infer.call_count
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with Image.open(outputs[0]) as result:
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assert result.size == (7, 5)
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assert result.getpixel((0, 0)) == (60, 120, 180, 51)
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manager.close()
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assert manager.snapshot()["loaded"]["background"] == ""
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@pytest.mark.parametrize("key", ["BIREFNET_LITE", "BIREFNET_HR_MATTING", "HAT_GAN_X4_SHARPER"])
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def test_readiness_checks_model_and_license_corruption(tmp_path, key):
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from dataclasses import replace
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content = b"verified"
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files = tuple((name, len(content), hashlib.sha256(content).hexdigest()) for name in ("model.onnx", "LICENSE.txt"))
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spec = replace(model_catalog.get_downloadable_model(key), r2_files=files)
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directory = tmp_path / spec.directory_name
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directory.mkdir()
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manager = ModelManager(tmp_path)
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with patch.object(model_catalog, "get_downloadable_model", return_value=spec):
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assert not manager.ready(key)
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for name, _, _ in files:
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(directory / name).write_bytes(content)
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assert manager.ready(key)
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(directory / "LICENSE.txt").write_bytes(b"damaged!")
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assert not manager.ready(key)
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