tensorflower/seetaFace6Python

similarity calculation accuracy problem

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i don't know how to transfer numpy (ndarray type) to c_float_Array_1024 structure, i read the seetaface python api, and see the compare_feature_np methods, so i use self.seetaFace.get_feature_numpy(feature2) to get numpy ndarray feature description, but the similarity down from 0.99 to 0.68? i don't know why? And i wonder if there is some solution, thanks a lot.
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