{"action":"created","issue":{"url":"https://api.github.com/repos/pjreddie/darknet/issues/294","repository_url":"https://api.github.com/repos/pjreddie/darknet","labels_url":"https://api.github.com/repos/pjreddie/darknet/issues/294/labels{/name}","comments_url":"https://api.github.com/repos/pjreddie/darknet/issues/294/comments","events_url":"https://api.github.com/repos/pjreddie/darknet/issues/294/events","html_url":"https://github.com/pjreddie/darknet/issues/294","id":272499136,"number":294,"title":"No detection is found after training","user":{"login":"AurusHuang","id":21114849,"avatar_url":"https://avatars0.githubusercontent.com/u/21114849?v=4","gravatar_id":"","url":"https://api.github.com/users/AurusHuang","html_url":"https://github.com/AurusHuang","followers_url":"https://api.github.com/users/AurusHuang/followers","following_url":"https://api.github.com/users/AurusHuang/following{/other_user}","gists_url":"https://api.github.com/users/AurusHuang/gists{/gist_id}","starred_url":"https://api.github.com/users/AurusHuang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AurusHuang/subscriptions","organizations_url":"https://api.github.com/users/AurusHuang/orgs","repos_url":"https://api.github.com/users/AurusHuang/repos","events_url":"https://api.github.com/users/AurusHuang/events{/privacy}","received_events_url":"https://api.github.com/users/AurusHuang/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":21,"created_at":"2017-11-09T09:46:58Z","updated_at":"2017-11-15T09:53:47Z","closed_at":null,"author_association":"NONE","body":"My computer: i5 4210M, GTX850M, Windows 10, CUDA 8, Visual Studio 2017 (with 2015 toolset installed)\r\nTraining with a dataset called Chars74K, selecting a subset of number 0-9 and letter E, totally 11176 pictures. Divided into two roughly equal parts, for training and test respectively. \r\nSince training is too slow, I'd like to perform an intermediate check. After 500 epochs, I ran the following command: (Note: I train with GPU, but detect with CPU)\r\n`.\\darknet_no_gpu detector test cfg\\chars74k.data tiny-yolo-chars74k-test.cfg backup\\tiny-yolo-chars74k_500.weights -thresh 0.1 img001-00002.png`\r\nBut it returns no bounding boxes. \r\nI'm sure that `chars74k.data` is correct, batch count and subdivision count are set to 1 in `tiny-yolo-chars74k-test.cfg` file (but for training, I'm using slightly modified cfg file, and they're 48 and 8 respectively). There is a similar issue #257 , but not a solution for my case. \r\nIs it true that even for character detection (a much simpler problem compared to VOC or COCO), it's imperative that you run 10,000 epochs before you can see the result(even if the result is not so correct)? Or, are there any mistakes when I'm training or detecting? \r\nP.S. Chars74K can be found here: \r\n[http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/](url)\r\nI'll post more details if any of you ask. "},"comment":{"url":"https://api.github.com/repos/pjreddie/darknet/issues/comments/344541935","html_url":"https://github.com/pjreddie/darknet/issues/294#issuecomment-344541935","issue_url":"https://api.github.com/repos/pjreddie/darknet/issues/294","id":344541935,"user":{"login":"TheMikeyR","id":1436625,"avatar_url":"https://avatars2.githubusercontent.com/u/1436625?v=4","gravatar_id":"","url":"https://api.github.com/users/TheMikeyR","html_url":"https://github.com/TheMikeyR","followers_url":"https://api.github.com/users/TheMikeyR/followers","following_url":"https://api.github.com/users/TheMikeyR/following{/other_user}","gists_url":"https://api.github.com/users/TheMikeyR/gists{/gist_id}","starred_url":"https://api.github.com/users/TheMikeyR/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/TheMikeyR/subscriptions","organizations_url":"https://api.github.com/users/TheMikeyR/orgs","repos_url":"https://api.github.com/users/TheMikeyR/repos","events_url":"https://api.github.com/users/TheMikeyR/events{/privacy}","received_events_url":"https://api.github.com/users/TheMikeyR/received_events","type":"User","site_admin":false},"created_at":"2017-11-15T09:53:47Z","updated_at":"2017-11-15T09:53:47Z","author_association":"NONE","body":"The bigger dataset the better is a general thumb of rule. Can't really help you that much with what thing is better, is all about trial and error process, try it out and see what you get. You can read papers within the subject to get an idea on what other people did and had success with. \r\nFeel free to keep me updated with your experience! "}}
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