Both pretrained models were trained on 160x160 px images, so will perform best if applied to images resized to this shape. For best results, images should also be cropped to the face using MTCNN (see below). By default, the above models will return 512-dimensional embeddings of images.
2022-03-06 20:24:19 110.52MB pytorch model
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开源项目facenet 预训练模型 20180402-114759 用于人脸识别,项目源码请见:https://github.com/davidsandberg/facenet
2022-03-06 16:55:54 183.23MB facenet 人脸识别 预训练模型
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facenet预训练模型,可用于github中facenet-pytorch工程;可以自行下载,亲侧可用。
2021-09-20 20:49:08 83.63MB facenet vggface2 20180402-114759
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facenet预训练模型
2021-09-08 18:11:33 91.31MB facenet预训练模型 20180402-114759
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facenet预训练权重 20180402-114759
2021-06-23 19:11:07 183.78MB 20180402-114759
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使用facenet框架做人脸识别的两个预训练模型,一个是20180402-114759,另一个是20180408-102900,里面都有。
2021-05-21 15:03:06 369.65MB facenet python 人脸识别
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facenet训练好的模型 20180402-114759,用于tensorflow FaceNet人脸识别
2019-12-21 21:00:48 183.23MB facenet
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