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Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)

Results 81 FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 issues
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##accorcoding to casia-surf val to commpute normalize = transforms.Normalize(mean=[0.14300402, 0.1434545, 0.14277956], std=[0.10050353, 0.100842826, 0.10034215]) how to commpute normalize? do you have any references? how about training effect using normalize?

请问大佬,论文中关于三种特征图融合是在哪一部分呢。我在您的代码中只看到了关于depth的部分。期待大佬回复哈 ;-)

When I run "python main.py --config="cfgs/fishnet150-32.yaml" --b 32 --lr 0.01 --every-decay 30 --fl-gamma 2 >> fishnet150-train.log". The following error happen: `D:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\upsampling.py:129: UserWarning: nn.Upsample is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.{} is...

您好,这个百度云盘链接(提交代码的链接)失效了,您能重新提供一个吗?

你好,我在训练完一个epoch后进行validata后出错,经查是在 _,predicted = torch.max(soft_output.data, 1) predicted = predicted.to('cpu').detach().numpy() 这里的predicted不是包含0,1的tensor,是一个这样的tensor Tensor: tensor([920, 744, 920, 818, 416, 920, 818, 920, 919, 920, 818, 818, 920, 974, 920, 855, 919, 744, 503, 818,...

作者好,能否提前把论文挂出来学习一下?谢谢。

请问大佬们,模型训练出来有用到系统中的吗?准确率怎么样?

请问有没有测试数据的标签呀?

大神,您好~参考您提供read_data.py,发现只读取的depth数据集作为mobilenetv2训练样本,ir和rgb不需要吗?