{"action":"opened","issue":{"url":"https://api.github.com/repos/drmaj/UnDeepVO/issues/1","repository_url":"https://api.github.com/repos/drmaj/UnDeepVO","labels_url":"https://api.github.com/repos/drmaj/UnDeepVO/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/drmaj/UnDeepVO/issues/1/comments","events_url":"https://api.github.com/repos/drmaj/UnDeepVO/issues/1/events","html_url":"https://github.com/drmaj/UnDeepVO/issues/1","id":300506957,"number":1,"title":"How to control the training order between disp_net and pose_net","user":{"login":"royal-feng","id":14287863,"avatar_url":"https://avatars3.githubusercontent.com/u/14287863?v=4","gravatar_id":"","url":"https://api.github.com/users/royal-feng","html_url":"https://github.com/royal-feng","followers_url":"https://api.github.com/users/royal-feng/followers","following_url":"https://api.github.com/users/royal-feng/following{/other_user}","gists_url":"https://api.github.com/users/royal-feng/gists{/gist_id}","starred_url":"https://api.github.com/users/royal-feng/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/royal-feng/subscriptions","organizations_url":"https://api.github.com/users/royal-feng/orgs","repos_url":"https://api.github.com/users/royal-feng/repos","events_url":"https://api.github.com/users/royal-feng/events{/privacy}","received_events_url":"https://api.github.com/users/royal-feng/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-02-27T06:20:03Z","updated_at":"2018-02-27T06:20:03Z","closed_at":null,"author_association":"NONE","body":"  Surprise to see the Implementation of UnDeepVO, I also do the implementation work recently. But I wonder how the training order between disp_net and pose_net? Because we use the depth_net to reconstruct the real depth ,then use the depth to estimate the pose between the adjacent frame. So I wonder maybe train the depth_net for several epoch(such 30 epoch),then training the pose_net for next epoch. I wonder in the early training, the depth net is not so dependable. Could you give me some advice for how to consider this? "}}
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