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All Projects → yeziyang1992 → Python Tensorflow Face V2.0

yeziyang1992 / Python Tensorflow Face V2.0

Licence: apache-2.0
基于tensorflow的人脸识别

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Python-Tensorflow-Face-v2.0

  1. 本文以Triplet网络为基础，改进了原有的通过训练分类器来检测人脸的方法，大大提高了识别的准确度。
  2. 本人使用训练数据集为微软MS-Celeb-1M数据集,[下载地址].(https://www.msceleb.org/download/aligned)
  3. 下载的数据集为.tsv格式,需要还原成jpg格式图片。需要把extracted.py拷贝到tsv文件同目录下，然后运行：
    $ python extracted.py --outputDir=data FaceImageCroppedWithAlignment.tsv
    尽量留有足够大的硬盘空间。
  4. 还需要对数据集进行清理，可到这链接 (密码：9ykp)下载干净的列表，并把下载的txt文件、faceshutil.py和data文件夹放在同一目录下，运行py文件即可
  5. 把get_align_face.py放到out同目录下，进行最后的人脸对齐。得到的train_faces文件夹放在项目同级文件夹下。
  6. 程序运行流程：
    1. 首先运行makefile.py文件，生成一些目录。
    1. 在链接( 密码：8tgk)下载LFW数据集，放在 ./temp/lfw/文件夹下，最后的目录是./tmp/lfw/lfw。这是为了测试准确率。
    1. 运行run.py文件，如果想要继续接着训练,需要把new改为True.这样做的目的是可以间断训练，每次训练完一段时间退出，可以接着训练。
    1. 训练完成后，可以运行lfw_test.py文件查看准确率。
  1. 训练好的模型可以放到这个项目中https://github.com/yeziyang1992/Face_Recognition_Client 检验。
  2. 如有问题探讨，邮箱联系：[email protected]
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