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This project forked from shen1994/deepid
tensorflow + python3实现,目标是实现DeepID2+
deepid's Introduction
- 训练图(极小数据测试训练)
![image](https://github.com/shen1994/README/raw/master/images/DeepID_train.jpg)
- 测试图
![image](https://github.com/shen1994/README/raw/master/images/DeepID_test.jpg)
- 训练曲线accuracy
![image](https://github.com/shen1994/README/raw/master/images/DeepID_acc.jpg)
- 训练曲线loss
![image](https://github.com/shen1994/README/raw/master/images/DeepID_loss.jpg)
- 防止数据不均衡,小于100张的用于测试,不足600的做数据扩充
python image_augmentation.py
- 将原图剪裁,剪裁成(47 * 55)大小的图片,原图是人脸对齐的
python image_crop.py
- 将图库进行划分,保存各分块的本地地址,存储为csv文件
python image_split.py
- 将划分后的数据保存成向量存储形式, 存储为pkl文件
python image_vector.py
- 训练数据
python train.py
- 在命令行输入,启动tensorboard观测曲线
tensorboard --logdir=log
- 在浏览器中输入,显示曲线
http://localhost:6006/#scalars
- 测试数据
python test.py
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