{"action":"created","issue":{"url":"https://api.github.com/repos/mndar/facenet_classifier/issues/8","repository_url":"https://api.github.com/repos/mndar/facenet_classifier","labels_url":"https://api.github.com/repos/mndar/facenet_classifier/issues/8/labels{/name}","comments_url":"https://api.github.com/repos/mndar/facenet_classifier/issues/8/comments","events_url":"https://api.github.com/repos/mndar/facenet_classifier/issues/8/events","html_url":"https://github.com/mndar/facenet_classifier/issues/8","id":340902369,"node_id":"MDU6SXNzdWUzNDA5MDIzNjk=","number":8,"title":"Very wrong output","user":{"login":"MekkaSiekka","id":36904550,"node_id":"MDQ6VXNlcjM2OTA0NTUw","avatar_url":"https://avatars3.githubusercontent.com/u/36904550?v=4","gravatar_id":"","url":"https://api.github.com/users/MekkaSiekka","html_url":"https://github.com/MekkaSiekka","followers_url":"https://api.github.com/users/MekkaSiekka/followers","following_url":"https://api.github.com/users/MekkaSiekka/following{/other_user}","gists_url":"https://api.github.com/users/MekkaSiekka/gists{/gist_id}","starred_url":"https://api.github.com/users/MekkaSiekka/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MekkaSiekka/subscriptions","organizations_url":"https://api.github.com/users/MekkaSiekka/orgs","repos_url":"https://api.github.com/users/MekkaSiekka/repos","events_url":"https://api.github.com/users/MekkaSiekka/events{/privacy}","received_events_url":"https://api.github.com/users/MekkaSiekka/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2018-07-13T06:52:08Z","updated_at":"2018-07-15T10:46:46Z","closed_at":null,"author_association":"NONE","body":"Hi, \r\n\r\nI just successfully compiled the code and setup the classification/test data sets, and I am having the following issues:\r\n\r\n1. with approx. 60 images, 10 classes, the program only outputs the correct classification IF AND ONLY IF the test set and the training set are exactly the same, including the directory structure. \r\n\r\n2. from my understanding, the grouping and naming of the testing set does not matter, right? \r\n\r\n3. I tried to use 5 groups with 5 images in that to train the classifier, and another 5  different images from the same group(person) for testing, but the result is still terrible. The model I use is downloaded from facenet git repo, and everything compiles w/o warning. \r\n\r\nAny thoughts? \r\n\r\nCould you also post the data sets and models you used for training/testing? \r\n\r\nBest regards,\r\nChris \r\n\r\n"},"comment":{"url":"https://api.github.com/repos/mndar/facenet_classifier/issues/comments/405082557","html_url":"https://github.com/mndar/facenet_classifier/issues/8#issuecomment-405082557","issue_url":"https://api.github.com/repos/mndar/facenet_classifier/issues/8","id":405082557,"node_id":"MDEyOklzc3VlQ29tbWVudDQwNTA4MjU1Nw==","user":{"login":"Dima00782","id":5621716,"node_id":"MDQ6VXNlcjU2MjE3MTY=","avatar_url":"https://avatars1.githubusercontent.com/u/5621716?v=4","gravatar_id":"","url":"https://api.github.com/users/Dima00782","html_url":"https://github.com/Dima00782","followers_url":"https://api.github.com/users/Dima00782/followers","following_url":"https://api.github.com/users/Dima00782/following{/other_user}","gists_url":"https://api.github.com/users/Dima00782/gists{/gist_id}","starred_url":"https://api.github.com/users/Dima00782/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Dima00782/subscriptions","organizations_url":"https://api.github.com/users/Dima00782/orgs","repos_url":"https://api.github.com/users/Dima00782/repos","events_url":"https://api.github.com/users/Dima00782/events{/privacy}","received_events_url":"https://api.github.com/users/Dima00782/received_events","type":"User","site_admin":false},"created_at":"2018-07-15T10:46:46Z","updated_at":"2018-07-15T10:46:46Z","author_association":"NONE","body":"mndar, can you provide your dlib extraction routine? I've asked in other issue and I'm still waiting for answer"}}
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