Open csjgit123 opened 2 years ago
if result_mean < 0.5:
return 0
else:
return 1
为什么我认为<0.5应该是1呢,真实人脸使用的深度图监督,那么欺骗人脸使用全黑的图监督,欺骗人脸得到的特征图的均值应该会更小一些吧,那么result_mean<0.5应该认为是欺骗类别吧?
test_dir = "/home/shicaiwei/data/liveness_data/CASIA-FASD/test/living"
label = 0
pre_path = "../output/models/depth_patch.pth"
isface = True
depth_cnn_test(pre_path=pre_path, test_dir=test_dir, label=label,
isface=isface)
depth_cnn_test.py中,这里的label是否应该是1?
是的,living face 对应是1,我会更正一下。谢谢。
电子科技大学 信息与通信工程院 School of Information and Communication Engineering University of Electronic Science and Technology of China (UESTC) +18285516726 韦仕才
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---- Replied mail ---- | From | @.> | | Date | 12/05/2021 11:28 | | To | @.> | | Cc | @.***> | | Subject | Re: [shicaiwei123/patch_based_cnn] 像素级监督疑惑 (Issue #7) |
test_dir = "/home/shicaiwei/data/liveness_data/CASIA-FASD/test/living"
label = 0
pre_path = "../output/models/depth_patch.pth"
isface = True
depth_cnn_test(pre_path=pre_path, test_dir=test_dir, label=label,
isface=isface)
depth_cnn_test.py中,这里的label是否应该是1?
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深度图这一部分网络最后的输入是一副特征图?实际应用时怎么做分类呢?标量监督最后会给出0或1代表预测的物体类别,那么像素级监督最后的输出是特征图要怎么做分类呢?