{"action":"created","issue":{"url":"https://api.github.com/repos/AITTSMD/MTCNN-Tensorflow/issues/77","repository_url":"https://api.github.com/repos/AITTSMD/MTCNN-Tensorflow","labels_url":"https://api.github.com/repos/AITTSMD/MTCNN-Tensorflow/issues/77/labels{/name}","comments_url":"https://api.github.com/repos/AITTSMD/MTCNN-Tensorflow/issues/77/comments","events_url":"https://api.github.com/repos/AITTSMD/MTCNN-Tensorflow/issues/77/events","html_url":"https://github.com/AITTSMD/MTCNN-Tensorflow/issues/77","id":302138097,"number":77,"title":"pnet  cls_loss的问题","user":{"login":"guojiapeng00","id":32899195,"avatar_url":"https://avatars1.githubusercontent.com/u/32899195?v=4","gravatar_id":"","url":"https://api.github.com/users/guojiapeng00","html_url":"https://github.com/guojiapeng00","followers_url":"https://api.github.com/users/guojiapeng00/followers","following_url":"https://api.github.com/users/guojiapeng00/following{/other_user}","gists_url":"https://api.github.com/users/guojiapeng00/gists{/gist_id}","starred_url":"https://api.github.com/users/guojiapeng00/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/guojiapeng00/subscriptions","organizations_url":"https://api.github.com/users/guojiapeng00/orgs","repos_url":"https://api.github.com/users/guojiapeng00/repos","events_url":"https://api.github.com/users/guojiapeng00/events{/privacy}","received_events_url":"https://api.github.com/users/guojiapeng00/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-03-05T00:18:32Z","updated_at":"2018-03-10T12:56:12Z","closed_at":null,"author_association":"NONE","body":"您好，感谢开源代码。1\r\n1。代码中关于pnet的损失是:     loss = -tf.log(label_prob+1e-10)\r\n跟论文中的cross_entropy   = -y*log(p)  + (1-y) * (1-log（p))  好像不一样啊？\r\n当y=1时两者确实相同，但当y = 0时，就不同了\r\n2.pnet 中我训练时，label中好像没有  -2（landmark样本）？"},"comment":{"url":"https://api.github.com/repos/AITTSMD/MTCNN-Tensorflow/issues/comments/372027774","html_url":"https://github.com/AITTSMD/MTCNN-Tensorflow/issues/77#issuecomment-372027774","issue_url":"https://api.github.com/repos/AITTSMD/MTCNN-Tensorflow/issues/77","id":372027774,"user":{"login":"guojiapeng00","id":32899195,"avatar_url":"https://avatars1.githubusercontent.com/u/32899195?v=4","gravatar_id":"","url":"https://api.github.com/users/guojiapeng00","html_url":"https://github.com/guojiapeng00","followers_url":"https://api.github.com/users/guojiapeng00/followers","following_url":"https://api.github.com/users/guojiapeng00/following{/other_user}","gists_url":"https://api.github.com/users/guojiapeng00/gists{/gist_id}","starred_url":"https://api.github.com/users/guojiapeng00/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/guojiapeng00/subscriptions","organizations_url":"https://api.github.com/users/guojiapeng00/orgs","repos_url":"https://api.github.com/users/guojiapeng00/repos","events_url":"https://api.github.com/users/guojiapeng00/events{/privacy}","received_events_url":"https://api.github.com/users/guojiapeng00/received_events","type":"User","site_admin":false},"created_at":"2018-03-10T12:56:12Z","updated_at":"2018-03-10T12:56:12Z","author_association":"NONE","body":"刚明白cls_loss   是用softmax计算的cross_entropy     ，loss =  -y*log(p),"}}
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