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A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

Results 44 Facial-Expression-Recognition.Pytorch issues
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Thank you for sharing your nice work! I really enjoyed the results. (it tends to output `sad` face 🤔) I run this script on MacBook, so I Update the demo...

What is the use of AvgPool2D at the end in vgg.py ?

Pleasee help me, i can use this code for my rasberry pi 3

请问 mainpro_FER.py 执行完成之后,可以这样保存模型到文件吗? torch.save(net, '80.pth') 我训练了80代,另外再次加载模型时,怎么把一张正常的人脸图片传入模型呢?目前我把一个人脸图片裁剪为48*48,但是推理结果的正确度不好

有问题的小伙伴,可以私聊我,我已经完成基本项目的复现,邮箱[email protected]

I see you build the resnet18 model, why not use the resnet18 model torchversion.model provided and just modify the linear layer. Thank you so much!

运行preprocess_fer2013后,得到的输出结果为(0,),请问这个问题该如何解决?是什么原因导致的呢? ![QQ截图20230506092911](https://user-images.githubusercontent.com/126170282/236590975-909f83fd-f4af-423a-98f2-3803cd51ff9a.png)

_, term_width = os.popen('stty size', 'r').read().split() ValueError: not enough values to unpack (expected 2, got 0) Can you tell me how to fix the problem?

![image](https://user-images.githubusercontent.com/131334796/233266772-5d29c168-34ce-4ff5-8f0b-a1233e6b66a0.png)