文件名称:深度学习mtcnn

  • 所属分类:
  • 人工智能/神经网络/遗传算法
  • 资源属性:
  • 上传时间:
  • 2020-11-18
  • 文件大小:
  • 2.3mb
  • 下载次数:
  • 1次
  • 提 供 者:
  • 莱*
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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用市面上的摄像头,可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and network layers, so that each layer can learn more features and greatly improve the generalization ability. The network is deeper, the amount of calculation in each layer is reduced, and the ability of feature extraction is strengthened, so as to improve the accuracy of target classification. On the LFW data set, the accuracy of face recognition reaches 98.40%. In this experiment, mtcnn is introduced into the face detection algorithm. Its backbone network is divided into three convolutional neural networks: p-net, R-Net and o-net. Among them, o-net is the most strict in screening candidate face fr a mes. It will output the coordinates of a human face detection fr a me and five facial feature points (left eye, right eye, nose, left mouth corner, right mouth corner).)
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下载文件列表

文件名大小更新时间
mtcnn-keras-master 0 2020-03-26
mtcnn-keras-master\LICENSE 1065 2020-03-26
mtcnn-keras-master\README.md 614 2020-03-26
mtcnn-keras-master\detect.py 1035 2020-03-26
mtcnn-keras-master\img 0 2020-03-26
mtcnn-keras-master\img\out.jpg 413467 2020-03-26
mtcnn-keras-master\img\timg.jpg 173231 2020-03-26
mtcnn-keras-master\model_data 0 2020-03-26
mtcnn-keras-master\model_data\onet.h5 1604296 2020-03-26
mtcnn-keras-master\model_data\pnet.h5 57184 2020-03-26
mtcnn-keras-master\model_data\rnet.h5 438312 2020-03-26
mtcnn-keras-master\mtcnn.py 7134 2020-03-26
mtcnn-keras-master\utils.py 6707 2020-03-26

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