{"action":"created","issue":{"url":"https://api.github.com/repos/ray075hl/attention-ocr-toy-example/issues/10","repository_url":"https://api.github.com/repos/ray075hl/attention-ocr-toy-example","labels_url":"https://api.github.com/repos/ray075hl/attention-ocr-toy-example/issues/10/labels{/name}","comments_url":"https://api.github.com/repos/ray075hl/attention-ocr-toy-example/issues/10/comments","events_url":"https://api.github.com/repos/ray075hl/attention-ocr-toy-example/issues/10/events","html_url":"https://github.com/ray075hl/attention-ocr-toy-example/issues/10","id":384208286,"node_id":"MDU6SXNzdWUzODQyMDgyODY=","number":10,"title":"Predict in ctc & attention model ","user":{"login":"vipcualo","id":28570832,"node_id":"MDQ6VXNlcjI4NTcwODMy","avatar_url":"https://avatars2.githubusercontent.com/u/28570832?v=4","gravatar_id":"","url":"https://api.github.com/users/vipcualo","html_url":"https://github.com/vipcualo","followers_url":"https://api.github.com/users/vipcualo/followers","following_url":"https://api.github.com/users/vipcualo/following{/other_user}","gists_url":"https://api.github.com/users/vipcualo/gists{/gist_id}","starred_url":"https://api.github.com/users/vipcualo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vipcualo/subscriptions","organizations_url":"https://api.github.com/users/vipcualo/orgs","repos_url":"https://api.github.com/users/vipcualo/repos","events_url":"https://api.github.com/users/vipcualo/events{/privacy}","received_events_url":"https://api.github.com/users/vipcualo/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-11-26T07:42:57Z","updated_at":"2018-11-26T13:45:46Z","closed_at":null,"author_association":"NONE","body":"Thanks you for share code !\r\nIn Ctc & attention model, i don't know which model you use for  Inference time ( you use ctc or attention model ) ?\r\nCan you help me. Thanks !\r\n"},"comment":{"url":"https://api.github.com/repos/ray075hl/attention-ocr-toy-example/issues/comments/441643725","html_url":"https://github.com/ray075hl/attention-ocr-toy-example/issues/10#issuecomment-441643725","issue_url":"https://api.github.com/repos/ray075hl/attention-ocr-toy-example/issues/10","id":441643725,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0MTY0MzcyNQ==","user":{"login":"vipcualo","id":28570832,"node_id":"MDQ6VXNlcjI4NTcwODMy","avatar_url":"https://avatars2.githubusercontent.com/u/28570832?v=4","gravatar_id":"","url":"https://api.github.com/users/vipcualo","html_url":"https://github.com/vipcualo","followers_url":"https://api.github.com/users/vipcualo/followers","following_url":"https://api.github.com/users/vipcualo/following{/other_user}","gists_url":"https://api.github.com/users/vipcualo/gists{/gist_id}","starred_url":"https://api.github.com/users/vipcualo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vipcualo/subscriptions","organizations_url":"https://api.github.com/users/vipcualo/orgs","repos_url":"https://api.github.com/users/vipcualo/repos","events_url":"https://api.github.com/users/vipcualo/events{/privacy}","received_events_url":"https://api.github.com/users/vipcualo/received_events","type":"User","site_admin":false},"created_at":"2018-11-26T13:45:46Z","updated_at":"2018-11-26T13:45:46Z","author_association":"NONE","body":"hello @ray075hl , if you choose attention model as evaluated model, why you choose ctc_loss_weights = 0.8 ( default in your code ) ?, It seems a bit biased for the ctc modem. \r\nAnd have you ever compared between attention model without CTC and attention model ( join ctc ) about accuracy ?  "}}
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