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A tensorflow implement for ganomaly
你好呀,我是在google coral里看到你的,看你在做openpose的,我现在也在做这个毕设,非常头疼,有些问题想和您请教一下,不知道方便吗?抱歉在这里留言找你,不知道有啥办法能联系到你😂
Hi,I just have a problem.
when a finish the training and test step,i find the AUC value is lower.
May you give me some advice ?
thank you
你好 我第一次上github下载程序,我想请问一下你的三段程序main.py,ganomaly.py和option.py,我应该先运行哪一个呢,还是需要把三段程序连起来呀?
在Ganomaly中,我对代码的label设置有一些疑惑,想咨询一下你
1、在数据预处理中,正常样本的标签设置为0
#####Assign labels to normal (0) and abnormals (1)
nrm_trn_lbl[:] = 0
nrm_tst_lbl[:] = 0
abn_trn_lbl[:] = 1
bn_tst_lbl[:] = 1
2、在训练过程中,正常样本的预测值和self.real_label比较,self.real_label的值为1.
def backward_d(self):
""" Backpropagate through netD
"""
#####Real - Fake Loss
self.err_d_real = self.l_bce(self.pred_real, self.real_label)
self.err_d_fake = self.l_bce(self.pred_fake, self.fake_label)`
我对这一点,很是不解。为什么反向传播时的正常样本预测值self.pred_real要和标签值self.real_label=1比较???看到你有重现这个代码,能给我说说你的理解吗?
我的联系方式(QQ):631314045.
有偿解答也可以,希望得到你的回复。
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