{"action":"created","issue":{"url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/33","repository_url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained","labels_url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/33/labels{/name}","comments_url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/33/comments","events_url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/33/events","html_url":"https://github.com/sergiomsilva/alpr-unconstrained/issues/33","id":389263325,"node_id":"MDU6SXNzdWUzODkyNjMzMjU=","number":33,"title":"Bounding box on license plates","user":{"login":"FilipaRamos","id":9221520,"node_id":"MDQ6VXNlcjkyMjE1MjA=","avatar_url":"https://avatars3.githubusercontent.com/u/9221520?v=4","gravatar_id":"","url":"https://api.github.com/users/FilipaRamos","html_url":"https://github.com/FilipaRamos","followers_url":"https://api.github.com/users/FilipaRamos/followers","following_url":"https://api.github.com/users/FilipaRamos/following{/other_user}","gists_url":"https://api.github.com/users/FilipaRamos/gists{/gist_id}","starred_url":"https://api.github.com/users/FilipaRamos/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/FilipaRamos/subscriptions","organizations_url":"https://api.github.com/users/FilipaRamos/orgs","repos_url":"https://api.github.com/users/FilipaRamos/repos","events_url":"https://api.github.com/users/FilipaRamos/events{/privacy}","received_events_url":"https://api.github.com/users/FilipaRamos/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-12-10T11:42:54Z","updated_at":"2018-12-11T11:52:00Z","closed_at":"2018-12-11T11:52:00Z","author_association":"NONE","body":"Hi! I was trying to get a bounding box surrounding the license plates that were found on the image. Could you please explain the output of the model that detects license plates? I also do not understand the reconstruct function too well, if you could give some input on this as well it would be really helpful.\r\n\r\nThanks a lot in advance!"},"comment":{"url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/comments/446175940","html_url":"https://github.com/sergiomsilva/alpr-unconstrained/issues/33#issuecomment-446175940","issue_url":"https://api.github.com/repos/sergiomsilva/alpr-unconstrained/issues/33","id":446175940,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0NjE3NTk0MA==","user":{"login":"sergiomsilva","id":25407804,"node_id":"MDQ6VXNlcjI1NDA3ODA0","avatar_url":"https://avatars1.githubusercontent.com/u/25407804?v=4","gravatar_id":"","url":"https://api.github.com/users/sergiomsilva","html_url":"https://github.com/sergiomsilva","followers_url":"https://api.github.com/users/sergiomsilva/followers","following_url":"https://api.github.com/users/sergiomsilva/following{/other_user}","gists_url":"https://api.github.com/users/sergiomsilva/gists{/gist_id}","starred_url":"https://api.github.com/users/sergiomsilva/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sergiomsilva/subscriptions","organizations_url":"https://api.github.com/users/sergiomsilva/orgs","repos_url":"https://api.github.com/users/sergiomsilva/repos","events_url":"https://api.github.com/users/sergiomsilva/events{/privacy}","received_events_url":"https://api.github.com/users/sergiomsilva/received_events","type":"User","site_admin":false},"created_at":"2018-12-11T11:52:00Z","updated_at":"2018-12-11T11:52:00Z","author_association":"OWNER","body":"Hi @FilipaRamos , the model output parameters for an affine transformation centred in the feature cell. I suggest you take a look at the paper for a detailed explanation. Having the affine transformation, you can interpolate the LP region into a new image that will be used to feed the OCR network. This is the role of the reconstruction function."}}
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