{"action":"created","issue":{"url":"https://api.github.com/repos/qqwweee/keras-yolo3/issues/208","repository_url":"https://api.github.com/repos/qqwweee/keras-yolo3","labels_url":"https://api.github.com/repos/qqwweee/keras-yolo3/issues/208/labels{/name}","comments_url":"https://api.github.com/repos/qqwweee/keras-yolo3/issues/208/comments","events_url":"https://api.github.com/repos/qqwweee/keras-yolo3/issues/208/events","html_url":"https://github.com/qqwweee/keras-yolo3/issues/208","id":348601657,"node_id":"MDU6SXNzdWUzNDg2MDE2NTc=","number":208,"title":"cumulative train","user":{"login":"a506620248","id":37469813,"node_id":"MDQ6VXNlcjM3NDY5ODEz","avatar_url":"https://avatars2.githubusercontent.com/u/37469813?v=4","gravatar_id":"","url":"https://api.github.com/users/a506620248","html_url":"https://github.com/a506620248","followers_url":"https://api.github.com/users/a506620248/followers","following_url":"https://api.github.com/users/a506620248/following{/other_user}","gists_url":"https://api.github.com/users/a506620248/gists{/gist_id}","starred_url":"https://api.github.com/users/a506620248/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/a506620248/subscriptions","organizations_url":"https://api.github.com/users/a506620248/orgs","repos_url":"https://api.github.com/users/a506620248/repos","events_url":"https://api.github.com/users/a506620248/events{/privacy}","received_events_url":"https://api.github.com/users/a506620248/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-08-08T07:09:15Z","updated_at":"2018-08-19T10:09:32Z","closed_at":null,"author_association":"NONE","body":"I have alreadly trained a model with my own dataset. If there are some new dataset or new classes, can I continue training with the result h5 file? Will the train quality be infulenced?"},"comment":{"url":"https://api.github.com/repos/qqwweee/keras-yolo3/issues/comments/414117315","html_url":"https://github.com/qqwweee/keras-yolo3/issues/208#issuecomment-414117315","issue_url":"https://api.github.com/repos/qqwweee/keras-yolo3/issues/208","id":414117315,"node_id":"MDEyOklzc3VlQ29tbWVudDQxNDExNzMxNQ==","user":{"login":"gabrielnpol","id":850340,"node_id":"MDQ6VXNlcjg1MDM0MA==","avatar_url":"https://avatars3.githubusercontent.com/u/850340?v=4","gravatar_id":"","url":"https://api.github.com/users/gabrielnpol","html_url":"https://github.com/gabrielnpol","followers_url":"https://api.github.com/users/gabrielnpol/followers","following_url":"https://api.github.com/users/gabrielnpol/following{/other_user}","gists_url":"https://api.github.com/users/gabrielnpol/gists{/gist_id}","starred_url":"https://api.github.com/users/gabrielnpol/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gabrielnpol/subscriptions","organizations_url":"https://api.github.com/users/gabrielnpol/orgs","repos_url":"https://api.github.com/users/gabrielnpol/repos","events_url":"https://api.github.com/users/gabrielnpol/events{/privacy}","received_events_url":"https://api.github.com/users/gabrielnpol/received_events","type":"User","site_admin":false},"created_at":"2018-08-19T10:09:32Z","updated_at":"2018-08-19T10:09:32Z","author_association":"NONE","body":"For new classes you can train only the last layer with train_bottleneck if you want to use an already trained model."}}
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