Comments (1)
这个是 SeetaFace6 官方文档 上的说法:
1比N识别与1比1区别在于,对于现场待识别的人脸,不知道其身份,需要在一个底库中去查询,如果在底库中给出对应识别结果,如果不在底库中,报告未识别。如果业务场景中,确定待识别的人脸一定在底库中,那么就是一个闭集测试,也可以称之为人脸检索。反之,就是开集测试。
由描述可以看出,开集场景要比闭集场景更困难,因为要着重考虑误识别率。
1比N识别从接口调用上来说,首先需要将底库中的人脸全部提取特征,然后,对现场抓拍到的待识别人脸提取特征,最终使用特征与底库中的特征进行比较选出相似度最高的人脸,这时相似度若超过阈值,则认为识别成功,反之待识别人员不在底库。
应该只能加机器了
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