danduncan / HappyNet

Convolutional neural network that does real-time emotion recognition. HappyNet detects faces in video and images, classifies the emotion on each face, then replaces each face with the correct emoji for that emotion. Based on Caffe and the "Emotions in the Wild" network available on Caffe model zoo.
https://youtu.be/MDHtzOdnSgA
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ReTrain own model #3

Open zhanglaplace opened 7 years ago

zhanglaplace commented 7 years ago

Hi ,i training my own datasets but the accuracy is only 25%,what should i do to improve the accuracy

dearhoper commented 7 years ago

@zhanglaplace ,Hi, Can you tell me how to train the EmotiW_VGG_S.caffemodel ? Thank you very much.

zhanglaplace commented 7 years ago

@dearhoper 作者提供了训练网络模型和超参数,用caffe制作样本就可以了

dearhoper commented 7 years ago

可以说得详细一点吗?没用过caffe……

zhanglaplace commented 7 years ago

那你得先看下caffe了,这是深度学习model dearhoper notifications@github.com于2017年4月14日 周五15:56写道:

可以说得详细一点吗?没用过caffe……

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Feng Zhang 张峰 School of Automation, Huazhong Univ. of Sci. & Tech. 1037 Luoyu Road, Wuhan 430074, P. R. China QQ:476833883 Mobile: +86-13129913417

GarryWan commented 6 years ago

Hi ,i training my own datasets but the accuracy is only 40%,what should i do to improve the accuracy,and where is the caffemode emtionW_VGG.s.model