{"action":"created","issue":{"url":"https://api.github.com/repos/NVIDIA/DIGITS/issues/1249","repository_url":"https://api.github.com/repos/NVIDIA/DIGITS","labels_url":"https://api.github.com/repos/NVIDIA/DIGITS/issues/1249/labels{/name}","comments_url":"https://api.github.com/repos/NVIDIA/DIGITS/issues/1249/comments","events_url":"https://api.github.com/repos/NVIDIA/DIGITS/issues/1249/events","html_url":"https://github.com/NVIDIA/DIGITS/issues/1249","id":188116357,"number":1249,"title":"Reason of training images' dimensions?","user":{"login":"ontheway16","id":23200711,"avatar_url":"https://avatars.githubusercontent.com/u/23200711?v=3","gravatar_id":"","url":"https://api.github.com/users/ontheway16","html_url":"https://github.com/ontheway16","followers_url":"https://api.github.com/users/ontheway16/followers","following_url":"https://api.github.com/users/ontheway16/following{/other_user}","gists_url":"https://api.github.com/users/ontheway16/gists{/gist_id}","starred_url":"https://api.github.com/users/ontheway16/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ontheway16/subscriptions","organizations_url":"https://api.github.com/users/ontheway16/orgs","repos_url":"https://api.github.com/users/ontheway16/repos","events_url":"https://api.github.com/users/ontheway16/events{/privacy}","received_events_url":"https://api.github.com/users/ontheway16/received_events","type":"User","site_admin":false},"labels":[{"id":425159825,"url":"https://api.github.com/repos/NVIDIA/DIGITS/labels/object-detection","name":"object-detection","color":"b60205","default":false},{"id":188540314,"url":"https://api.github.com/repos/NVIDIA/DIGITS/labels/question","name":"question","color":"cc317c","default":true}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2016-11-08T22:04:58Z","updated_at":"2016-11-14T07:22:01Z","closed_at":"2016-11-14T07:22:01Z","body":"I do not know about lmdb but what i am seeing in kitti dataset, there are different directories like train, val and raw etc.  I have two questions here. \r\n\r\n1. For custom data, I was assuming train and val directories would be enough, is it?\r\n\r\n2. Title question,  if i have information of bounding box rectangle of an object in a photo, which will be utilized in training, why I am supplying 1248x384 training images (consumes a lot of memory) instead of directly providing much smaller bounding-box crops of the objects from the main photos? Since coordinates of objects known, this cropping work can be done programmatically, unless there is another reason for this large dimension."},"comment":{"url":"https://api.github.com/repos/NVIDIA/DIGITS/issues/comments/260264914","html_url":"https://github.com/NVIDIA/DIGITS/issues/1249#issuecomment-260264914","issue_url":"https://api.github.com/repos/NVIDIA/DIGITS/issues/1249","id":260264914,"user":{"login":"gheinrich","id":3889770,"avatar_url":"https://avatars.githubusercontent.com/u/3889770?v=3","gravatar_id":"","url":"https://api.github.com/users/gheinrich","html_url":"https://github.com/gheinrich","followers_url":"https://api.github.com/users/gheinrich/followers","following_url":"https://api.github.com/users/gheinrich/following{/other_user}","gists_url":"https://api.github.com/users/gheinrich/gists{/gist_id}","starred_url":"https://api.github.com/users/gheinrich/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gheinrich/subscriptions","organizations_url":"https://api.github.com/users/gheinrich/orgs","repos_url":"https://api.github.com/users/gheinrich/repos","events_url":"https://api.github.com/users/gheinrich/events{/privacy}","received_events_url":"https://api.github.com/users/gheinrich/received_events","type":"User","site_admin":false},"created_at":"2016-11-14T07:22:01Z","updated_at":"2016-11-14T07:22:01Z","body":"Thanks. Closing."}}
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