{"action":"created","issue":{"url":"https://api.github.com/repos/ildoonet/tf-pose-estimation/issues/131","repository_url":"https://api.github.com/repos/ildoonet/tf-pose-estimation","labels_url":"https://api.github.com/repos/ildoonet/tf-pose-estimation/issues/131/labels{/name}","comments_url":"https://api.github.com/repos/ildoonet/tf-pose-estimation/issues/131/comments","events_url":"https://api.github.com/repos/ildoonet/tf-pose-estimation/issues/131/events","html_url":"https://github.com/ildoonet/tf-pose-estimation/issues/131","id":309433825,"number":131,"title":"Performance of trained Mobilenet_thin is not as good as the demo","user":{"login":"Aileenlingyu","id":22608026,"avatar_url":"https://avatars3.githubusercontent.com/u/22608026?v=4","gravatar_id":"","url":"https://api.github.com/users/Aileenlingyu","html_url":"https://github.com/Aileenlingyu","followers_url":"https://api.github.com/users/Aileenlingyu/followers","following_url":"https://api.github.com/users/Aileenlingyu/following{/other_user}","gists_url":"https://api.github.com/users/Aileenlingyu/gists{/gist_id}","starred_url":"https://api.github.com/users/Aileenlingyu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Aileenlingyu/subscriptions","organizations_url":"https://api.github.com/users/Aileenlingyu/orgs","repos_url":"https://api.github.com/users/Aileenlingyu/repos","events_url":"https://api.github.com/users/Aileenlingyu/events{/privacy}","received_events_url":"https://api.github.com/users/Aileenlingyu/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-03-28T16:09:52Z","updated_at":"2018-03-28T16:45:42Z","closed_at":null,"author_association":"NONE","body":"Hi, I trained mobilenet_thin version, the loss during training is as below:\r\nlast layer training loss: 43.82 \r\nlast layer validation loss： 46.06\r\ntotal loss on training set: 268\r\ntotal loss on validation set:286.2\r\nBut when I tested the model, there are a lot of errors, always missing one ankle joint, see attached result, it seems not to be as good as the demo version, I also plot the last layer validation loss with regard to each joint, and each part association, it seems to be similar with the demo model, cannot figure out the reason.\r\n\r\nCould anyone please advise? Is my loss too large or something with the post-processing part? Many thanks!\r\n![result1](https://user-images.githubusercontent.com/22608026/38041868-e00cc2d6-3280-11e8-8609-c46db7cbd6d0.png)\r\n![result2](https://user-images.githubusercontent.com/22608026/38041871-e1b7fb0a-3280-11e8-97fa-c6390f65eae0.png)\r\n![barplot1](https://user-images.githubusercontent.com/22608026/38041875-e480f530-3280-11e8-8613-de3e44bde837.png)\r\n![barplot2](https://user-images.githubusercontent.com/22608026/38041877-e563ef66-3280-11e8-8514-d79680949cb5.png)\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/ildoonet/tf-pose-estimation/issues/comments/376955222","html_url":"https://github.com/ildoonet/tf-pose-estimation/issues/131#issuecomment-376955222","issue_url":"https://api.github.com/repos/ildoonet/tf-pose-estimation/issues/131","id":376955222,"user":{"login":"ouceduxzk","id":2516683,"avatar_url":"https://avatars1.githubusercontent.com/u/2516683?v=4","gravatar_id":"","url":"https://api.github.com/users/ouceduxzk","html_url":"https://github.com/ouceduxzk","followers_url":"https://api.github.com/users/ouceduxzk/followers","following_url":"https://api.github.com/users/ouceduxzk/following{/other_user}","gists_url":"https://api.github.com/users/ouceduxzk/gists{/gist_id}","starred_url":"https://api.github.com/users/ouceduxzk/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ouceduxzk/subscriptions","organizations_url":"https://api.github.com/users/ouceduxzk/orgs","repos_url":"https://api.github.com/users/ouceduxzk/repos","events_url":"https://api.github.com/users/ouceduxzk/events{/privacy}","received_events_url":"https://api.github.com/users/ouceduxzk/received_events","type":"User","site_admin":false},"created_at":"2018-03-28T16:45:42Z","updated_at":"2018-03-28T16:45:42Z","author_association":"NONE","body":"I would say that the total loss is a little big, should be < 230, here is my mobilenet_thin plot on ski.jpg, maybe you should try with smaller batch size, what exactly the training command you are using?\r\n[\r\n![mobilenet_thinski](https://user-images.githubusercontent.com/2516683/38043647-fea48dc8-32b7-11e8-93b2-83087a32c503.jpg)\r\n](url)"}}
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