{"action":"opened","issue":{"url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/11","repository_url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained","labels_url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/11/labels{/name}","comments_url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/11/comments","events_url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/11/events","html_url":"https://github.com/sergiomsilva/alpr-unconstrained/issues/11","id":364362690,"node_id":"MDU6SXNzdWUzNjQzNjI2OTA=","number":11,"title":"How can I train my own model?","user":{"login":"beizhengren","id":22186249,"node_id":"MDQ6VXNlcjIyMTg2MjQ5","avatar_url":"https://avatars1.githubusercontent.com/u/22186249?v=4","gravatar_id":"","url":"https://api.github.com/users/beizhengren","html_url":"https://github.com/beizhengren","followers_url":"https://api.github.com/users/beizhengren/followers","following_url":"https://api.github.com/users/beizhengren/following{/other_user}","gists_url":"https://api.github.com/users/beizhengren/gists{/gist_id}","starred_url":"https://api.github.com/users/beizhengren/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/beizhengren/subscriptions","organizations_url":"https://api.github.com/users/beizhengren/orgs","repos_url":"https://api.github.com/users/beizhengren/repos","events_url":"https://api.github.com/users/beizhengren/events{/privacy}","received_events_url":"https://api.github.com/users/beizhengren/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-09-27T08:37:01Z","updated_at":"2018-09-27T08:37:01Z","closed_at":null,"author_association":"NONE","body":"Hi~\r\nThanks for providing this project, and the effect of recognizing plate license is so good.\r\nNow, I want to train my own weights to detect chinese character, how can I train my own arguments ?\r\nThanks a lot !"}}
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