{"action":"closed","issue":{"url":"https://api.github.com/repos/BichenWuUCB/squeezeDet/issues/105","repository_url":"https://api.github.com/repos/BichenWuUCB/squeezeDet","labels_url":"https://api.github.com/repos/BichenWuUCB/squeezeDet/issues/105/labels{/name}","comments_url":"https://api.github.com/repos/BichenWuUCB/squeezeDet/issues/105/comments","events_url":"https://api.github.com/repos/BichenWuUCB/squeezeDet/issues/105/events","html_url":"https://github.com/BichenWuUCB/squeezeDet/issues/105","id":332552630,"node_id":"MDU6SXNzdWUzMzI1NTI2MzA=","number":105,"title":"Using a different checkpoint","user":{"login":"aditya1709","id":9576039,"node_id":"MDQ6VXNlcjk1NzYwMzk=","avatar_url":"https://avatars3.githubusercontent.com/u/9576039?v=4","gravatar_id":"","url":"https://api.github.com/users/aditya1709","html_url":"https://github.com/aditya1709","followers_url":"https://api.github.com/users/aditya1709/followers","following_url":"https://api.github.com/users/aditya1709/following{/other_user}","gists_url":"https://api.github.com/users/aditya1709/gists{/gist_id}","starred_url":"https://api.github.com/users/aditya1709/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/aditya1709/subscriptions","organizations_url":"https://api.github.com/users/aditya1709/orgs","repos_url":"https://api.github.com/users/aditya1709/repos","events_url":"https://api.github.com/users/aditya1709/events{/privacy}","received_events_url":"https://api.github.com/users/aditya1709/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-06-14T20:28:29Z","updated_at":"2018-06-15T17:52:47Z","closed_at":"2018-06-15T17:52:46Z","author_association":"NONE","body":"I have trained the model for a while and want to start training from that checkpoint again. I tried making LOAD_PRETRAINED_MODEL = False, and did save.restore(sess, appropriate checkpoint directory) in train.py. It starts from a high loss (not where the checkpoint was saved). \r\nIs the only way to do this, converting the ckpt file to a .pkl file and make LOAD_PRETRAINED_MODEL = True ? "}}
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