{"action":"opened","issue":{"url":"https://api.github.com/repos/KBNLresearch/ochre/issues/7","repository_url":"https://api.github.com/repos/KBNLresearch/ochre","labels_url":"https://api.github.com/repos/KBNLresearch/ochre/issues/7/labels{/name}","comments_url":"https://api.github.com/repos/KBNLresearch/ochre/issues/7/comments","events_url":"https://api.github.com/repos/KBNLresearch/ochre/issues/7/events","html_url":"https://github.com/KBNLresearch/ochre/issues/7","id":308361746,"number":7,"title":"Unsatisfying results","user":{"login":"omrivm","id":7582428,"avatar_url":"https://avatars0.githubusercontent.com/u/7582428?v=4","gravatar_id":"","url":"https://api.github.com/users/omrivm","html_url":"https://github.com/omrivm","followers_url":"https://api.github.com/users/omrivm/followers","following_url":"https://api.github.com/users/omrivm/following{/other_user}","gists_url":"https://api.github.com/users/omrivm/gists{/gist_id}","starred_url":"https://api.github.com/users/omrivm/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/omrivm/subscriptions","organizations_url":"https://api.github.com/users/omrivm/orgs","repos_url":"https://api.github.com/users/omrivm/repos","events_url":"https://api.github.com/users/omrivm/events{/privacy}","received_events_url":"https://api.github.com/users/omrivm/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-03-25T16:05:34Z","updated_at":"2018-03-25T16:05:34Z","closed_at":null,"author_association":"NONE","body":"Hi,\r\nI'm trying to test ochre on the ICDAR 2017 dataset (English only). I'm not using the workflow but operating ochre myself:\r\n1) I took all the English monographs and periodical and clean it from special chars.\r\n2) I split the files into 2 folders (ocr and gs) and needed.\r\n3) I've created alignment files using Hirschberg's algorithm and write JSON files.\r\n4) I've called: create_data_division.py\r\n5) I've called: lstm_synced.py (bilstm, lower=false)\r\n6) then on each file I've called: lstm_synced_correct_ocr.py\r\n\r\nAnd when using ocrevalUAtion I've calculated the CER and WER and got unsatisfying results. in most cases the results as less than the ocr itself.\r\n\r\nAm I doing something wrong?\r\nDid you get better results?"}}
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