{"action":"reopened","issue":{"url":"https://api.github.com/repos/beniz/deepdetect/issues/55","repository_url":"https://api.github.com/repos/beniz/deepdetect","labels_url":"https://api.github.com/repos/beniz/deepdetect/issues/55/labels{/name}","comments_url":"https://api.github.com/repos/beniz/deepdetect/issues/55/comments","events_url":"https://api.github.com/repos/beniz/deepdetect/issues/55/events","html_url":"https://github.com/beniz/deepdetect/issues/55","id":129955783,"number":55,"title":"Building of a binary hash code image similarity search application","user":{"login":"masakinakada","id":3487812,"avatar_url":"https://avatars.githubusercontent.com/u/3487812?v=3","gravatar_id":"","url":"https://api.github.com/users/masakinakada","html_url":"https://github.com/masakinakada","followers_url":"https://api.github.com/users/masakinakada/followers","following_url":"https://api.github.com/users/masakinakada/following{/other_user}","gists_url":"https://api.github.com/users/masakinakada/gists{/gist_id}","starred_url":"https://api.github.com/users/masakinakada/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/masakinakada/subscriptions","organizations_url":"https://api.github.com/users/masakinakada/orgs","repos_url":"https://api.github.com/users/masakinakada/repos","events_url":"https://api.github.com/users/masakinakada/events{/privacy}","received_events_url":"https://api.github.com/users/masakinakada/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"}],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2016-01-30T08:06:25Z","updated_at":"2016-02-04T07:14:46Z","closed_at":null,"body":"Hi community, \r\n\r\nI would like to implement binary hash code search application as it is written in this paper,  'Deep Learning of Binary Hash Code' to enable fast image similarity match.  Specifically, I want to use googlenet and achieve the similarity search with elasticsearch on aws EC2. \r\n\r\nSince we need to take the feature vector from the network as the hash code, I believe we need to output value from the hidden layer (One layer before the final output softmax layer) in convolutional network, but deepdetect library currently does not support the output of the values. \r\n\r\nPlease kindly help me if anyone have done this before. \r\nI appreciate any kind of supports. \r\n\r\nThank you very much for providing this awesome library. \r\nMasaki\r\n"}}