{"action":"created","issue":{"url":"https://api.github.com/repos/CCThompson82/nuclei/issues/3","repository_url":"https://api.github.com/repos/CCThompson82/nuclei","labels_url":"https://api.github.com/repos/CCThompson82/nuclei/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/CCThompson82/nuclei/issues/3/comments","events_url":"https://api.github.com/repos/CCThompson82/nuclei/issues/3/events","html_url":"https://github.com/CCThompson82/nuclei/issues/3","id":298078715,"number":3,"title":"create data reader 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object should ease the iteration of data for general applications\r\n* Explore tensorflow data objects instead of python generators or custom built classes"},"comment":{"url":"https://api.github.com/repos/CCThompson82/nuclei/issues/comments/368409080","html_url":"https://github.com/CCThompson82/nuclei/issues/3#issuecomment-368409080","issue_url":"https://api.github.com/repos/CCThompson82/nuclei/issues/3","id":368409080,"user":{"login":"CCThompson82","id":17596748,"avatar_url":"https://avatars1.githubusercontent.com/u/17596748?v=4","gravatar_id":"","url":"https://api.github.com/users/CCThompson82","html_url":"https://github.com/CCThompson82","followers_url":"https://api.github.com/users/CCThompson82/followers","following_url":"https://api.github.com/users/CCThompson82/following{/other_user}","gists_url":"https://api.github.com/users/CCThompson82/gists{/gist_id}","starred_url":"https://api.github.com/users/CCThompson82/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/CCThompson82/subscriptions","organizations_url":"https://api.github.com/users/CCThompson82/orgs","repos_url":"https://api.github.com/users/CCThompson82/repos","events_url":"https://api.github.com/users/CCThompson82/events{/privacy}","received_events_url":"https://api.github.com/users/CCThompson82/received_events","type":"User","site_admin":false},"created_at":"2018-02-26T07:07:19Z","updated_at":"2018-02-26T07:07:19Z","author_association":"OWNER","body":"## Plan for Dataset and Reader Construction \r\n\r\n- [ ]  create a tensorflow Dataset object composed of the following elements:\r\n    -  filename to image \r\n    -  raw label for image \r\n    -  unique example id \r\n    -  train/validate/test category?\r\n- [ ] write this dataset permanently to data/interim \r\n- [ ] utils that can load, display, etc the images and labels from the example_id \r\n\r\n## Notes \r\n-  map functions will load, preprocess data as it is iterated \r\n-  intention is to use queue system to speed up training / prediction, as opposed to using binary TFRecord formatted data.  \r\n"}}
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