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facerecognization's Introduction

FaceRecognization

学习人脸识别算法

数据

  • 位置:./data/PIE
  • 格式:.mat
列名 说明
fea 图像数据,64*64*1
gnd 标签,int
isTest 0 or 1

数据处理

    1. 准备数据
    1. 建立文件夹./data/PIE/images
    1. 调整./data_augumentation.py第7行数据增强倍数AUGUMENT_X
    1. 运行./data_augumentation.py
  • 将在./data/PIE/images生成增强后的图片

训练&测试

    1. 数据处理
    1. 运行./main.py
    • 参数1:
      • train:训练
      • eval:测试
    • 参数2:
      • image:从图片读取数据
      • pickle:从图片读数据后会自动存为pickle,使用这个参数可以加快读取速度
    • 参数3:
      • <文件夹路径>:image时设置文件夹路径,建议存固态硬盘
      • pickle:pickle时占位,无意义
    • 示例:
      • python ./main.py train image C:/images
      • python ./main.py eval pickle pickle
    1. 等待训练/测试完成
    • 训练时可以随时关闭,下次开启时自动继续训练

facerecognization's People

Contributors

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Watchers

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