{"action":"closed","issue":{"url":"https://api.github.com/repos/deepinsight/insightface/issues/302","repository_url":"https://api.github.com/repos/deepinsight/insightface","labels_url":"https://api.github.com/repos/deepinsight/insightface/issues/302/labels{/name}","comments_url":"https://api.github.com/repos/deepinsight/insightface/issues/302/comments","events_url":"https://api.github.com/repos/deepinsight/insightface/issues/302/events","html_url":"https://github.com/deepinsight/insightface/issues/302","id":345459432,"node_id":"MDU6SXNzdWUzNDU0NTk0MzI=","number":302,"title":"mood recognition","user":{"login":"mrazimi","id":33127738,"node_id":"MDQ6VXNlcjMzMTI3NzM4","avatar_url":"https://avatars1.githubusercontent.com/u/33127738?v=4","gravatar_id":"","url":"https://api.github.com/users/mrazimi","html_url":"https://github.com/mrazimi","followers_url":"https://api.github.com/users/mrazimi/followers","following_url":"https://api.github.com/users/mrazimi/following{/other_user}","gists_url":"https://api.github.com/users/mrazimi/gists{/gist_id}","starred_url":"https://api.github.com/users/mrazimi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mrazimi/subscriptions","organizations_url":"https://api.github.com/users/mrazimi/orgs","repos_url":"https://api.github.com/users/mrazimi/repos","events_url":"https://api.github.com/users/mrazimi/events{/privacy}","received_events_url":"https://api.github.com/users/mrazimi/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2018-07-28T16:05:13Z","updated_at":"2018-07-30T09:06:37Z","closed_at":"2018-07-30T09:06:37Z","author_association":"NONE","body":"Using deploy/test.py it would be possible to estimate gender and age, how can I estimate the mood using your code?\r\nDo I need to write my own classifier using the extracted feature vector or it is already possible? (pretrained model can give me an estimation)"}}
{"actor":{"display_login":"mrazimi"}}