{"action":"created","issue":{"url":"https://api.github.com/repos/beniz/deepdetect/issues/43","labels_url":"https://api.github.com/repos/beniz/deepdetect/issues/43/labels{/name}","comments_url":"https://api.github.com/repos/beniz/deepdetect/issues/43/comments","events_url":"https://api.github.com/repos/beniz/deepdetect/issues/43/events","html_url":"https://github.com/beniz/deepdetect/issues/43","id":124686430,"number":43,"title":"Object Detection via Faster R-CNN","user":{"login":"pribadihcr","id":13068286,"avatar_url":"https://avatars.githubusercontent.com/u/13068286?v=3","gravatar_id":"","url":"https://api.github.com/users/pribadihcr","html_url":"https://github.com/pribadihcr","followers_url":"https://api.github.com/users/pribadihcr/followers","following_url":"https://api.github.com/users/pribadihcr/following{/other_user}","gists_url":"https://api.github.com/users/pribadihcr/gists{/gist_id}","starred_url":"https://api.github.com/users/pribadihcr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pribadihcr/subscriptions","organizations_url":"https://api.github.com/users/pribadihcr/orgs","repos_url":"https://api.github.com/users/pribadihcr/repos","events_url":"https://api.github.com/users/pribadihcr/events{/privacy}","received_events_url":"https://api.github.com/users/pribadihcr/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/beniz/deepdetect/labels/API","name":"API","color":"bfdadc"},{"url":"https://api.github.com/repos/beniz/deepdetect/labels/Caffe","name":"Caffe","color":"fbca04"},{"url":"https://api.github.com/repos/beniz/deepdetect/labels/enhancement","name":"enhancement","color":"84b6eb"},{"url":"https://api.github.com/repos/beniz/deepdetect/labels/neural%20net","name":"neural net","color":"eb6420"}],"state":"open","locked":false,"assignee":{"login":"beniz","id":3530657,"avatar_url":"https://avatars.githubusercontent.com/u/3530657?v=3","gravatar_id":"","url":"https://api.github.com/users/beniz","html_url":"https://github.com/beniz","followers_url":"https://api.github.com/users/beniz/followers","following_url":"https://api.github.com/users/beniz/following{/other_user}","gists_url":"https://api.github.com/users/beniz/gists{/gist_id}","starred_url":"https://api.github.com/users/beniz/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/beniz/subscriptions","organizations_url":"https://api.github.com/users/beniz/orgs","repos_url":"https://api.github.com/users/beniz/repos","events_url":"https://api.github.com/users/beniz/events{/privacy}","received_events_url":"https://api.github.com/users/beniz/received_events","type":"User","site_admin":false},"milestone":null,"comments":2,"created_at":"2016-01-04T02:16:38Z","updated_at":"2016-01-04T05:44:22Z","closed_at":null,"body":"Hi @beniz ,\r\n\r\nfaster RCNN like https://github.com/rbgirshick/py-faster-rcnn is a very useful application. It's implemented and trained in Caffe framework.\r\nDo you have a plan to implement it in deepdeteect?\r\n\r\nThanks,"},"comment":{"url":"https://api.github.com/repos/beniz/deepdetect/issues/comments/168587391","html_url":"https://github.com/beniz/deepdetect/issues/43#issuecomment-168587391","issue_url":"https://api.github.com/repos/beniz/deepdetect/issues/43","id":168587391,"user":{"login":"pribadihcr","id":13068286,"avatar_url":"https://avatars.githubusercontent.com/u/13068286?v=3","gravatar_id":"","url":"https://api.github.com/users/pribadihcr","html_url":"https://github.com/pribadihcr","followers_url":"https://api.github.com/users/pribadihcr/followers","following_url":"https://api.github.com/users/pribadihcr/following{/other_user}","gists_url":"https://api.github.com/users/pribadihcr/gists{/gist_id}","starred_url":"https://api.github.com/users/pribadihcr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pribadihcr/subscriptions","organizations_url":"https://api.github.com/users/pribadihcr/orgs","repos_url":"https://api.github.com/users/pribadihcr/repos","events_url":"https://api.github.com/users/pribadihcr/events{/privacy}","received_events_url":"https://api.github.com/users/pribadihcr/received_events","type":"User","site_admin":false},"created_at":"2016-01-04T05:44:21Z","updated_at":"2016-01-04T05:44:21Z","body":"I think an in-production prediction phase is the first. We can train the\nmodel using existing faster RCNN framework (e.g. py-faster-rcnn).\nRegarding the models, well, I want to localize and detect objects like\ntowel, shampoo, drink bottle etc ( room hotel amenities). So, I think I\nneed custom model.\n\n\nOn Mon, Jan 4, 2016 at 12:22 PM, Emmanuel Benazera <notifications@github.com\n> wrote:\n\n> @pribadihcr <https://github.com/pribadihcr> yes it is indeed on the\n> roadmap, though not fast-tracked yet. It would be useful if you could share\n> what the most important features are for you regarding faster R-CNN wrt\n> DD's API and server side. Typically, are you mostly interested in the\n> training phase or an in-production prediction phase (while training with\n> py-faster-rcnn) ? Regarding the models, are you looking forward using the\n> existing set of pre-trained ones, or building your own ?\n>\n> —\n> Reply to this email directly or view it on GitHub\n> <https://github.com/beniz/deepdetect/issues/43#issuecomment-168585714>.\n>\n"}}