{"action":"created","issue":{"url":"https://api.github.com/repos/rbgirshick/py-faster-rcnn/issues/18","repository_url":"https://api.github.com/repos/rbgirshick/py-faster-rcnn","labels_url":"https://api.github.com/repos/rbgirshick/py-faster-rcnn/issues/18/labels{/name}","comments_url":"https://api.github.com/repos/rbgirshick/py-faster-rcnn/issues/18/comments","events_url":"https://api.github.com/repos/rbgirshick/py-faster-rcnn/issues/18/events","html_url":"https://github.com/rbgirshick/py-faster-rcnn/issues/18","id":116027271,"number":18,"title":"Use Googlenet/Inception","user":{"login":"kaishijeng","id":12689630,"avatar_url":"https://avatars.githubusercontent.com/u/12689630?v=3","gravatar_id":"","url":"https://api.github.com/users/kaishijeng","html_url":"https://github.com/kaishijeng","followers_url":"https://api.github.com/users/kaishijeng/followers","following_url":"https://api.github.com/users/kaishijeng/following{/other_user}","gists_url":"https://api.github.com/users/kaishijeng/gists{/gist_id}","starred_url":"https://api.github.com/users/kaishijeng/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kaishijeng/subscriptions","organizations_url":"https://api.github.com/users/kaishijeng/orgs","repos_url":"https://api.github.com/users/kaishijeng/repos","events_url":"https://api.github.com/users/kaishijeng/events{/privacy}","received_events_url":"https://api.github.com/users/kaishijeng/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":5,"created_at":"2015-11-10T05:00:32Z","updated_at":"2016-06-23T22:16:15Z","closed_at":null,"body":"Size of a trained VGG16 model  is quite big. Is it possible to replace VGG16 with Googlenet/Inception to reduce size of parameters?\r\n\r\n\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/rbgirshick/py-faster-rcnn/issues/comments/228202113","html_url":"https://github.com/rbgirshick/py-faster-rcnn/issues/18#issuecomment-228202113","issue_url":"https://api.github.com/repos/rbgirshick/py-faster-rcnn/issues/18","id":228202113,"user":{"login":"Supersak80","id":5209481,"avatar_url":"https://avatars.githubusercontent.com/u/5209481?v=3","gravatar_id":"","url":"https://api.github.com/users/Supersak80","html_url":"https://github.com/Supersak80","followers_url":"https://api.github.com/users/Supersak80/followers","following_url":"https://api.github.com/users/Supersak80/following{/other_user}","gists_url":"https://api.github.com/users/Supersak80/gists{/gist_id}","starred_url":"https://api.github.com/users/Supersak80/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Supersak80/subscriptions","organizations_url":"https://api.github.com/users/Supersak80/orgs","repos_url":"https://api.github.com/users/Supersak80/repos","events_url":"https://api.github.com/users/Supersak80/events{/privacy}","received_events_url":"https://api.github.com/users/Supersak80/received_events","type":"User","site_admin":false},"created_at":"2016-06-23T22:16:15Z","updated_at":"2016-06-23T22:16:15Z","body":"@chrert I have not looked into it yet, but I'm very eager to get a hold of the network definitions for GoogleNet+faster r-cnn."}}
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