- Added intelligent quality checkers and auto-retry pipeline for `image-to-3d` and `text-to-3d`. - Added unit tests for quality checkers. - `text-to-3d` now supports more `text-to-image` models, pipeline success rate improved to 94%.
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
# Project EmbodiedGen
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#
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# Copyright (c) 2025 Horizon Robotics. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied. See the License for the specific language governing
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# permissions and limitations under the License.
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import logging
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from embodied_gen.validators.aesthetic_predictor import AestheticPredictor
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logger = logging.getLogger(__name__)
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# @pytest.mark.manual
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def test_aesthetic_predictor():
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image_path = "apps/assets/example_image/sample_02.jpg"
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predictor = AestheticPredictor(device="cpu")
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score = predictor.predict(image_path)
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assert isinstance(score, float)
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logger.info(f"Aesthetic score: {score:.3f}")
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