{"action":"created","issue":{"url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1658","repository_url":"https://api.github.com/repos/AlexeyAB/darknet","labels_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1658/labels{/name}","comments_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1658/comments","events_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1658/events","html_url":"https://github.com/AlexeyAB/darknet/issues/1658","id":363630126,"node_id":"MDU6SXNzdWUzNjM2MzAxMjY=","number":1658,"title":"Unused field: 'bin_output = 1'","user":{"login":"dexception","id":31848222,"node_id":"MDQ6VXNlcjMxODQ4MjIy","avatar_url":"https://avatars3.githubusercontent.com/u/31848222?v=4","gravatar_id":"","url":"https://api.github.com/users/dexception","html_url":"https://github.com/dexception","followers_url":"https://api.github.com/users/dexception/followers","following_url":"https://api.github.com/users/dexception/following{/other_user}","gists_url":"https://api.github.com/users/dexception/gists{/gist_id}","starred_url":"https://api.github.com/users/dexception/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dexception/subscriptions","organizations_url":"https://api.github.com/users/dexception/orgs","repos_url":"https://api.github.com/users/dexception/repos","events_url":"https://api.github.com/users/dexception/events{/privacy}","received_events_url":"https://api.github.com/users/dexception/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-09-25T15:13:47Z","updated_at":"2018-09-25T18:53:07Z","closed_at":null,"author_association":"NONE","body":"I am trying to train yolov3-tiny_xnor and getting the following output while testing on 2000 epochs. \r\n\r\n```\r\nlayer     filters    size              input                output\r\n   0 conv     16  3 x 3 / 1   416 x 416 x   3   ->   416 x 416 x  16 0.150 BF\r\n   1 max          2 x 2 / 2   416 x 416 x  16   ->   208 x 208 x  16 0.003 BF\r\n   2 conv     32  3 x 3 / 1   208 x 208 x  16   ->   208 x 208 x  32 0.399 BF\r\nUnused field: 'bin_output = 1'\r\n   3 max          2 x 2 / 2   208 x 208 x  32   ->   104 x 104 x  32 0.001 BF\r\n   4 conv     64  3 x 3 / 1   104 x 104 x  32   ->   104 x 104 x  64 0.399 BF\r\nUnused field: 'bin_output = 1'\r\n   5 max          2 x 2 / 2   104 x 104 x  64   ->    52 x  52 x  64 0.001 BF\r\n   6 conv    128  3 x 3 / 1    52 x  52 x  64   ->    52 x  52 x 128 0.399 BF\r\nUnused field: 'bin_output = 1'\r\n   7 max          2 x 2 / 2    52 x  52 x 128   ->    26 x  26 x 128 0.000 BF\r\n   8 conv    256  3 x 3 / 1    26 x  26 x 128   ->    26 x  26 x 256 0.399 BF\r\n   9 max          2 x 2 / 2    26 x  26 x 256   ->    13 x  13 x 256 0.000 BF\r\n  10 conv    512  3 x 3 / 1    13 x  13 x 256   ->    13 x  13 x 512 0.399 BF\r\nUnused field: 'bin_output = 1'\r\n  11 max          2 x 2 / 1    13 x  13 x 512   ->    13 x  13 x 512 0.000 BF\r\n  12 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024 1.595 BF\r\nUnused field: 'bin_output = 1'\r\n  13 conv    256  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 256 0.089 BF\r\n  14 conv    512  3 x 3 / 1    13 x  13 x 256   ->    13 x  13 x 512 0.399 BF\r\n  15 conv     18  1 x 1 / 1    13 x  13 x 512   ->    13 x  13 x  18 0.003 BF\r\n  16 yolo\r\n  17 route  13\r\n  18 conv    128  1 x 1 / 1    13 x  13 x 256   ->    13 x  13 x 128 0.011 BF\r\n  19 upsample            2x    13 x  13 x 128   ->    26 x  26 x 128\r\n  20 route  19 8\r\n  21 conv    256  3 x 3 / 1    26 x  26 x 384   ->    26 x  26 x 256 1.196 BF\r\n  22 conv     18  1 x 1 / 1    26 x  26 x 256   ->    26 x  26 x  18 0.006 BF\r\n  23 yolo\r\nTotal BFLOPS 5.448\r\nLoading weights from tiny-xnor_2000.weights...\r\n seen 32\r\nDone!\r\nvideo file: E:\\test\\1.mp4\r\nVideo stream: 1280 x 720\r\n```"},"comment":{"url":"https://api.github.com/repos/AlexeyAB/darknet/issues/comments/424459647","html_url":"https://github.com/AlexeyAB/darknet/issues/1658#issuecomment-424459647","issue_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1658","id":424459647,"node_id":"MDEyOklzc3VlQ29tbWVudDQyNDQ1OTY0Nw==","user":{"login":"dexception","id":31848222,"node_id":"MDQ6VXNlcjMxODQ4MjIy","avatar_url":"https://avatars3.githubusercontent.com/u/31848222?v=4","gravatar_id":"","url":"https://api.github.com/users/dexception","html_url":"https://github.com/dexception","followers_url":"https://api.github.com/users/dexception/followers","following_url":"https://api.github.com/users/dexception/following{/other_user}","gists_url":"https://api.github.com/users/dexception/gists{/gist_id}","starred_url":"https://api.github.com/users/dexception/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dexception/subscriptions","organizations_url":"https://api.github.com/users/dexception/orgs","repos_url":"https://api.github.com/users/dexception/repos","events_url":"https://api.github.com/users/dexception/events{/privacy}","received_events_url":"https://api.github.com/users/dexception/received_events","type":"User","site_admin":false},"created_at":"2018-09-25T18:53:07Z","updated_at":"2018-09-25T18:53:07Z","author_association":"NONE","body":"8bit quantization is 30% faster but how fast is 1bit for yolov3_xnor ?"}}
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