判断图片清晰度
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@@ -251,3 +251,20 @@ def combined(img1, img2):
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combined_img[:height1, :width1] = img1
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combined_img[:height1, :width1] = img1
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combined_img[:height2, width1:width1 + width2] = img2
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combined_img[:height2, width1:width1 + width2] = img2
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return combined_img
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return combined_img
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def parse_clarity(image):
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"""
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判断图片清晰度
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:param image: 图片NumPy数组或文件路径
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:return: 判断结果及置信度
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"""
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clarity_result = [1, 0]
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model = PaddleClas(inference_model_dir=r"model/clas/clarity_assessment", use_gpu=False)
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clas_result = model.predict(input_data=image)
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try:
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clas_result = next(clas_result)[0]
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clarity_result = [clas_result["class_ids"][0], clas_result["scores"][0]]
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except Exception as e:
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logging.error("获取图片清晰度失败", exc_info=e)
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return clarity_result
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