Comments (4)
rshaojimmy
commented on September 7, 2024
您好，我没遇到过这种情况。然后输入是RGB + HSV 而不是 RGB。
谢谢
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zhangxiaopang88
commented on September 7, 2024
ori_catimg = torch.cat([ori_rgbimg,ori_hsvimg],0)
这个函数的意思不是输入rgb图片，转换成hsv，然后把rgb和hsv 一起送入网络吗？我输入rgb图片，网络的输入也是RGB + HSV啊，是不是我测试用的CASIA数据集不符合训练的要求啊 @ @rshaojimmy
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roger-cv
commented on September 7, 2024
ori_catimg = torch.cat([ori_rgbimg,ori_hsvimg],0)
这个函数的意思不是输入rgb图片，转换成hsv，然后把rgb和hsv 一起送入网络吗？我输入rgb图片，网络的输入也是RGB + HSV啊，是不是我测试用的CASIA数据集不符合训练的要求啊 @ @rshaojimmy
您好，请问您成功复现这篇论文的代码了吗？我想请问一些关于数据预处理的问题，我可以通过邮箱或者其他方式联系您吗？谢谢
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duzhekai
commented on September 7, 2024
您好，我按照您的要求送入网络rgb人脸图片，但是不管是real还是fake的样本，分数都在0.5左右，没有大的变化。请问您遇到过这种问题吗？ @ @rshaojimmy
你好，请问你解决这个问题了吗，我也是出现分数都在0.5左右的问题。
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Related Issues (20)
- why the hsv image also as the input? HOT 1
- Can you share the specific path format of the txt file?
- Question about the code HOT 2
- Ask for the code HOT 2
- Do you align the faces before feeding into the network? Or only crop the bounding box? HOT 1
- Question about datasets HOT 4
- Data Processing Problem HOT 2
- It's a good job, but it doesn't mention aim-fas. Aim-fas is similar to this article. HOT 1
- Data processing problem
- Does the pretrained model will be released?
- Not able to run "python main.py --training_type Test" HOT 1
- some questions about datasets partitioning HOT 1
- fake_depth.jpg HOT 6
- Error encountered running "python main.py --training_type Test" HOT 1
- Could you please provide optimal training model? HOT 1
- depth map HOT 1
- image_list_real.txt HOT 2
- Questions about project details HOT 1
- How did you get ~_depth images? HOT 1
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