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Microexpression_recognition

基于DNN实现实时分辨人脸微表情

所需环境:opencv + tensorflow1.8 + pycharm

demo.py 调用系统摄像头完成实时识别人脸微表情

main.py 包含训练模型、测试模型的接口

model.py DNN算法的实现

utils.py 对数据集合的预处理

model这个文件夹包含我已经训练好的模型

你可以自己通过训练数据进行模型的训练,或者可以直接读取我已经训练好的模型

数据集的下载地址:https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data

由于中科院微表情数据集不好公众,所以有需要请私信我!

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