nan
d694980da7
- Introduced BEN2 model for background removal in the panel and properties. - Updated runtime to handle background removal commands and model downloads. - Implemented background removal logic in worker, including image processing and saving results. - Enhanced tests to cover new background removal features and ensure proper integration. - Updated version to 0.9.28 to reflect new features and improvements.
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
import importlib.util
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import unittest
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from pathlib import Path
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PROJECT_ROOT = Path(__file__).resolve().parents[1]
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def load_module(name, relative_path):
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specification = importlib.util.spec_from_file_location(
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name,
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PROJECT_ROOT / relative_path,
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)
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module = importlib.util.module_from_spec(specification)
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specification.loader.exec_module(module)
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return module
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class ModelTest(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.models = load_module(
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"snapform_models",
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"src/snapform/models.py",
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)
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def test_base_model_is_default_friendly_apache_model(self):
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model = self.models.get_model("BASE")
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self.assertEqual(model.repository, "depth-anything/DA3-BASE")
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self.assertEqual(model.license_name, "Apache 2.0")
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def test_large_model_exposes_noncommercial_license(self):
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model = self.models.get_model("LARGE_1_1")
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self.assertEqual(model.license_name, "CC BY-NC 4.0")
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def test_giant_models_expose_gaussian_head(self):
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for model_key in ("GIANT_1_1", "NESTED_GIANT_LARGE_1_1"):
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with self.subTest(model_key=model_key):
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self.assertTrue(self.models.get_model(model_key).supports_gs)
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def test_unknown_model_is_rejected(self):
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with self.assertRaisesRegex(ValueError, "Unknown DA3 model"):
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self.models.get_model("UNKNOWN")
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def test_ben2_download_only_includes_required_hugging_face_files(self):
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model = self.models.get_downloadable_model("BEN2_BASE")
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self.assertEqual(model.repository, "PramaLLC/BEN2")
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self.assertEqual(model.license_name, "MIT")
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self.assertEqual(
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model.download_patterns,
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("config.json", "model.safetensors"),
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)
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self.assertNotIn("BEN2_BASE", self.models.MODELS)
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