{"action":"created","issue":{"url":"https://api.github.com/repos/cvlabmiet/cvclasses16/issues/29","repository_url":"https://api.github.com/repos/cvlabmiet/cvclasses16","labels_url":"https://api.github.com/repos/cvlabmiet/cvclasses16/issues/29/labels{/name}","comments_url":"https://api.github.com/repos/cvlabmiet/cvclasses16/issues/29/comments","events_url":"https://api.github.com/repos/cvlabmiet/cvclasses16/issues/29/events","html_url":"https://github.com/cvlabmiet/cvclasses16/pull/29","id":181473012,"number":29,"title":"Lesson 2. Add otsu threshold algorithm. Close #19","user":{"login":"whitemol","id":22376462,"avatar_url":"https://avatars.githubusercontent.com/u/22376462?v=3","gravatar_id":"","url":"https://api.github.com/users/whitemol","html_url":"https://github.com/whitemol","followers_url":"https://api.github.com/users/whitemol/followers","following_url":"https://api.github.com/users/whitemol/following{/other_user}","gists_url":"https://api.github.com/users/whitemol/gists{/gist_id}","starred_url":"https://api.github.com/users/whitemol/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/whitemol/subscriptions","organizations_url":"https://api.github.com/users/whitemol/orgs","repos_url":"https://api.github.com/users/whitemol/repos","events_url":"https://api.github.com/users/whitemol/events{/privacy}","received_events_url":"https://api.github.com/users/whitemol/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/cvlabmiet/cvclasses16/labels/lesson%202","name":"lesson 2","color":"005277"}],"state":"open","locked":false,"assignee":{"login":"LenaBuranova","id":8864636,"avatar_url":"https://avatars.githubusercontent.com/u/8864636?v=3","gravatar_id":"","url":"https://api.github.com/users/LenaBuranova","html_url":"https://github.com/LenaBuranova","followers_url":"https://api.github.com/users/LenaBuranova/followers","following_url":"https://api.github.com/users/LenaBuranova/following{/other_user}","gists_url":"https://api.github.com/users/LenaBuranova/gists{/gist_id}","starred_url":"https://api.github.com/users/LenaBuranova/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/LenaBuranova/subscriptions","organizations_url":"https://api.github.com/users/LenaBuranova/orgs","repos_url":"https://api.github.com/users/LenaBuranova/repos","events_url":"https://api.github.com/users/LenaBuranova/events{/privacy}","received_events_url":"https://api.github.com/users/LenaBuranova/received_events","type":"User","site_admin":false},"assignees":[{"login":"LenaBuranova","id":8864636,"avatar_url":"https://avatars.githubusercontent.com/u/8864636?v=3","gravatar_id":"","url":"https://api.github.com/users/LenaBuranova","html_url":"https://github.com/LenaBuranova","followers_url":"https://api.github.com/users/LenaBuranova/followers","following_url":"https://api.github.com/users/LenaBuranova/following{/other_user}","gists_url":"https://api.github.com/users/LenaBuranova/gists{/gist_id}","starred_url":"https://api.github.com/users/LenaBuranova/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/LenaBuranova/subscriptions","organizations_url":"https://api.github.com/users/LenaBuranova/orgs","repos_url":"https://api.github.com/users/LenaBuranova/repos","events_url":"https://api.github.com/users/LenaBuranova/events{/privacy}","received_events_url":"https://api.github.com/users/LenaBuranova/received_events","type":"User","site_admin":false},{"login":"rgolovanov","id":14174584,"avatar_url":"https://avatars.githubusercontent.com/u/14174584?v=3","gravatar_id":"","url":"https://api.github.com/users/rgolovanov","html_url":"https://github.com/rgolovanov","followers_url":"https://api.github.com/users/rgolovanov/followers","following_url":"https://api.github.com/users/rgolovanov/following{/other_user}","gists_url":"https://api.github.com/users/rgolovanov/gists{/gist_id}","starred_url":"https://api.github.com/users/rgolovanov/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rgolovanov/subscriptions","organizations_url":"https://api.github.com/users/rgolovanov/orgs","repos_url":"https://api.github.com/users/rgolovanov/repos","events_url":"https://api.github.com/users/rgolovanov/events{/privacy}","received_events_url":"https://api.github.com/users/rgolovanov/received_events","type":"User","site_admin":false}],"milestone":{"url":"https://api.github.com/repos/cvlabmiet/cvclasses16/milestones/2","html_url":"https://github.com/cvlabmiet/cvclasses16/milestones/Lesson%202%20-%20Image%20Segmentation","labels_url":"https://api.github.com/repos/cvlabmiet/cvclasses16/milestones/2/labels","id":2025127,"number":2,"title":"Lesson 2 - Image Segmentation","description":"","creator":{"login":"rgolovanov","id":14174584,"avatar_url":"https://avatars.githubusercontent.com/u/14174584?v=3","gravatar_id":"","url":"https://api.github.com/users/rgolovanov","html_url":"https://github.com/rgolovanov","followers_url":"https://api.github.com/users/rgolovanov/followers","following_url":"https://api.github.com/users/rgolovanov/following{/other_user}","gists_url":"https://api.github.com/users/rgolovanov/gists{/gist_id}","starred_url":"https://api.github.com/users/rgolovanov/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rgolovanov/subscriptions","organizations_url":"https://api.github.com/users/rgolovanov/orgs","repos_url":"https://api.github.com/users/rgolovanov/repos","events_url":"https://api.github.com/users/rgolovanov/events{/privacy}","received_events_url":"https://api.github.com/users/rgolovanov/received_events","type":"User","site_admin":false},"open_issues":10,"closed_issues":3,"state":"open","created_at":"2016-09-23T19:19:25Z","updated_at":"2016-10-07T19:04:33Z","due_on":"2016-10-08T00:00:00Z","closed_at":null},"comments":2,"created_at":"2016-10-06T17:09:22Z","updated_at":"2016-10-07T19:13:15Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/cvlabmiet/cvclasses16/pulls/29","html_url":"https://github.com/cvlabmiet/cvclasses16/pull/29","diff_url":"https://github.com/cvlabmiet/cvclasses16/pull/29.diff","patch_url":"https://github.com/cvlabmiet/cvclasses16/pull/29.patch"},"body":"Добавлена демонстрация работы метода Отцу. Это метод глобальной сегментации изображения.\r\n\r\nВвода пользователя не требуется.\r\n\r\nРабота алгоритма начинается с нулевого порога. \r\nЗеленой точечкой помечен текущий порог на гистограмме.\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19201291/ba88ffb8-8cd5-11e6-9fd7-2808650b2bf5.png)\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19161933/728a950a-8bfe-11e6-815f-79e1884945df.png)\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19161936/79eb0118-8bfe-11e6-9af9-6628fb47907b.png)\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19161950/8a52bf32-8bfe-11e6-9332-cf297b89c10c.png)\r\n\r\nИ продолжается до тех пор пока не будет найдено максимальное значение межклассовой вариации.\r\n\r\nОдна из последующих итераций:\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19201321/e5d33b2a-8cd5-11e6-9927-51293d937faa.png)\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19162012/ce84dce4-8bfe-11e6-89ab-6e88a0c262e7.png)\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19162026/dac64fce-8bfe-11e6-8ffb-12d0c6aa8d96.png)\r\n\r\nИ конечный вывод\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19201337/09377e3c-8cd6-11e6-8031-991fcd93090d.png)\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19162353/31d0fc5a-8c00-11e6-9270-3e856a9147d5.png)\r\n![image](https://cloud.githubusercontent.com/assets/22376462/19162356/354721fc-8c00-11e6-80ce-2b8d905cc95e.png)\r\n\r\n\r\n\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/cvlabmiet/cvclasses16/issues/comments/252337258","html_url":"https://github.com/cvlabmiet/cvclasses16/pull/29#issuecomment-252337258","issue_url":"https://api.github.com/repos/cvlabmiet/cvclasses16/issues/29","id":252337258,"user":{"login":"rgolovanov","id":14174584,"avatar_url":"https://avatars.githubusercontent.com/u/14174584?v=3","gravatar_id":"","url":"https://api.github.com/users/rgolovanov","html_url":"https://github.com/rgolovanov","followers_url":"https://api.github.com/users/rgolovanov/followers","following_url":"https://api.github.com/users/rgolovanov/following{/other_user}","gists_url":"https://api.github.com/users/rgolovanov/gists{/gist_id}","starred_url":"https://api.github.com/users/rgolovanov/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rgolovanov/subscriptions","organizations_url":"https://api.github.com/users/rgolovanov/orgs","repos_url":"https://api.github.com/users/rgolovanov/repos","events_url":"https://api.github.com/users/rgolovanov/events{/privacy}","received_events_url":"https://api.github.com/users/rgolovanov/received_events","type":"User","site_admin":false},"created_at":"2016-10-07T19:13:15Z","updated_at":"2016-10-07T19:13:15Z","body":"@whitemol хорошо. Теперь осталось дождаться, когда @LenaBuranova тоже сделает ревью."}}
{"actor":{"display_login":"rgolovanov"}}