{"action":"opened","issue":{"url":"https://api.github.com/repos/pjreddie/darknet/issues/1172","repository_url":"https://api.github.com/repos/pjreddie/darknet","labels_url":"https://api.github.com/repos/pjreddie/darknet/issues/1172/labels{/name}","comments_url":"https://api.github.com/repos/pjreddie/darknet/issues/1172/comments","events_url":"https://api.github.com/repos/pjreddie/darknet/issues/1172/events","html_url":"https://github.com/pjreddie/darknet/issues/1172","id":368727170,"node_id":"MDU6SXNzdWUzNjg3MjcxNzA=","number":1172,"title":"Can't predict anything","user":{"login":"mobileonekh","id":43160152,"node_id":"MDQ6VXNlcjQzMTYwMTUy","avatar_url":"https://avatars1.githubusercontent.com/u/43160152?v=4","gravatar_id":"","url":"https://api.github.com/users/mobileonekh","html_url":"https://github.com/mobileonekh","followers_url":"https://api.github.com/users/mobileonekh/followers","following_url":"https://api.github.com/users/mobileonekh/following{/other_user}","gists_url":"https://api.github.com/users/mobileonekh/gists{/gist_id}","starred_url":"https://api.github.com/users/mobileonekh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mobileonekh/subscriptions","organizations_url":"https://api.github.com/users/mobileonekh/orgs","repos_url":"https://api.github.com/users/mobileonekh/repos","events_url":"https://api.github.com/users/mobileonekh/events{/privacy}","received_events_url":"https://api.github.com/users/mobileonekh/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-10T15:36:25Z","updated_at":"2018-10-10T15:36:25Z","closed_at":null,"author_association":"NONE","body":"Hi,\r\nI run darknet yolo test but can't detect anything, even using the existing sample data.\r\n\r\nAnything wrong with my script?\r\n\r\n`./darknet yolo test cfg/yolov3.cfg yolov3.weights data/person.jpg\r\nlayer     filters    size              input                output\r\n    0 conv     32  3 x 3 / 1   608 x 608 x   3   ->   608 x 608 x  32  0.639 BFLOPs\r\n    1 conv     64  3 x 3 / 2   608 x 608 x  32   ->   304 x 304 x  64  3.407 BFLOPs\r\n    2 conv     32  1 x 1 / 1   304 x 304 x  64   ->   304 x 304 x  32  0.379 BFLOPs\r\n    3 conv     64  3 x 3 / 1   304 x 304 x  32   ->   304 x 304 x  64  3.407 BFLOPs\r\n    4 res    1                 304 x 304 x  64   ->   304 x 304 x  64\r\n    5 conv    128  3 x 3 / 2   304 x 304 x  64   ->   152 x 152 x 128  3.407 BFLOPs\r\n    6 conv     64  1 x 1 / 1   152 x 152 x 128   ->   152 x 152 x  64  0.379 BFLOPs\r\n    7 conv    128  3 x 3 / 1   152 x 152 x  64   ->   152 x 152 x 128  3.407 BFLOPs\r\n    8 res    5                 152 x 152 x 128   ->   152 x 152 x 128\r\n    9 conv     64  1 x 1 / 1   152 x 152 x 128   ->   152 x 152 x  64  0.379 BFLOPs\r\n   10 conv    128  3 x 3 / 1   152 x 152 x  64   ->   152 x 152 x 128  3.407 BFLOPs\r\n   11 res    8                 152 x 152 x 128   ->   152 x 152 x 128\r\n   12 conv    256  3 x 3 / 2   152 x 152 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n   13 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n   14 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n   15 res   12                  76 x  76 x 256   ->    76 x  76 x 256\r\n   16 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n   17 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n   18 res   15                  76 x  76 x 256   ->    76 x  76 x 256\r\n   19 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n   20 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n   21 res   18                  76 x  76 x 256   ->    76 x  76 x 256\r\n   22 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n   23 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n   24 res   21                  76 x  76 x 256   ->    76 x  76 x 256\r\n   25 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n   26 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n   27 res   24                  76 x  76 x 256   ->    76 x  76 x 256\r\n   28 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n   29 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n   30 res   27                  76 x  76 x 256   ->    76 x  76 x 256\r\n   31 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n   32 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n   33 res   30                  76 x  76 x 256   ->    76 x  76 x 256\r\n   34 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n   35 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n   36 res   33                  76 x  76 x 256   ->    76 x  76 x 256\r\n   37 conv    512  3 x 3 / 2    76 x  76 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   38 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   39 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   40 res   37                  38 x  38 x 512   ->    38 x  38 x 512\r\n   41 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   42 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   43 res   40                  38 x  38 x 512   ->    38 x  38 x 512\r\n   44 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   45 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   46 res   43                  38 x  38 x 512   ->    38 x  38 x 512\r\n   47 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   48 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   49 res   46                  38 x  38 x 512   ->    38 x  38 x 512\r\n   50 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   51 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   52 res   49                  38 x  38 x 512   ->    38 x  38 x 512\r\n   53 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   54 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   55 res   52                  38 x  38 x 512   ->    38 x  38 x 512\r\n   56 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   57 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   58 res   55                  38 x  38 x 512   ->    38 x  38 x 512\r\n   59 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   60 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   61 res   58                  38 x  38 x 512   ->    38 x  38 x 512\r\n   62 conv   1024  3 x 3 / 2    38 x  38 x 512   ->    19 x  19 x1024  3.407 BFLOPs\r\n   63 conv    512  1 x 1 / 1    19 x  19 x1024   ->    19 x  19 x 512  0.379 BFLOPs\r\n   64 conv   1024  3 x 3 / 1    19 x  19 x 512   ->    19 x  19 x1024  3.407 BFLOPs\r\n   65 res   62                  19 x  19 x1024   ->    19 x  19 x1024\r\n   66 conv    512  1 x 1 / 1    19 x  19 x1024   ->    19 x  19 x 512  0.379 BFLOPs\r\n   67 conv   1024  3 x 3 / 1    19 x  19 x 512   ->    19 x  19 x1024  3.407 BFLOPs\r\n   68 res   65                  19 x  19 x1024   ->    19 x  19 x1024\r\n   69 conv    512  1 x 1 / 1    19 x  19 x1024   ->    19 x  19 x 512  0.379 BFLOPs\r\n   70 conv   1024  3 x 3 / 1    19 x  19 x 512   ->    19 x  19 x1024  3.407 BFLOPs\r\n   71 res   68                  19 x  19 x1024   ->    19 x  19 x1024\r\n   72 conv    512  1 x 1 / 1    19 x  19 x1024   ->    19 x  19 x 512  0.379 BFLOPs\r\n   73 conv   1024  3 x 3 / 1    19 x  19 x 512   ->    19 x  19 x1024  3.407 BFLOPs\r\n   74 res   71                  19 x  19 x1024   ->    19 x  19 x1024\r\n   75 conv    512  1 x 1 / 1    19 x  19 x1024   ->    19 x  19 x 512  0.379 BFLOPs\r\n   76 conv   1024  3 x 3 / 1    19 x  19 x 512   ->    19 x  19 x1024  3.407 BFLOPs\r\n   77 conv    512  1 x 1 / 1    19 x  19 x1024   ->    19 x  19 x 512  0.379 BFLOPs\r\n   78 conv   1024  3 x 3 / 1    19 x  19 x 512   ->    19 x  19 x1024  3.407 BFLOPs\r\n   79 conv    512  1 x 1 / 1    19 x  19 x1024   ->    19 x  19 x 512  0.379 BFLOPs\r\n   80 conv   1024  3 x 3 / 1    19 x  19 x 512   ->    19 x  19 x1024  3.407 BFLOPs\r\n   81 conv    255  1 x 1 / 1    19 x  19 x1024   ->    19 x  19 x 255  0.189 BFLOPs\r\n   82 yolo\r\n   83 route  79\r\n   84 conv    256  1 x 1 / 1    19 x  19 x 512   ->    19 x  19 x 256  0.095 BFLOPs\r\n   85 upsample            2x    19 x  19 x 256   ->    38 x  38 x 256\r\n   86 route  85 61\r\n   87 conv    256  1 x 1 / 1    38 x  38 x 768   ->    38 x  38 x 256  0.568 BFLOPs\r\n   88 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   89 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   90 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   91 conv    256  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 256  0.379 BFLOPs\r\n   92 conv    512  3 x 3 / 1    38 x  38 x 256   ->    38 x  38 x 512  3.407 BFLOPs\r\n   93 conv    255  1 x 1 / 1    38 x  38 x 512   ->    38 x  38 x 255  0.377 BFLOPs\r\n   94 yolo\r\n   95 route  91\r\n   96 conv    128  1 x 1 / 1    38 x  38 x 256   ->    38 x  38 x 128  0.095 BFLOPs\r\n   97 upsample            2x    38 x  38 x 128   ->    76 x  76 x 128\r\n   98 route  97 36\r\n   99 conv    128  1 x 1 / 1    76 x  76 x 384   ->    76 x  76 x 128  0.568 BFLOPs\r\n  100 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n  101 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n  102 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n  103 conv    128  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 128  0.379 BFLOPs\r\n  104 conv    256  3 x 3 / 1    76 x  76 x 128   ->    76 x  76 x 256  3.407 BFLOPs\r\n  105 conv    255  1 x 1 / 1    76 x  76 x 256   ->    76 x  76 x 255  0.754 BFLOPs\r\n  106 yolo\r\nLoading weights from yolov3.weights...Done!\r\ndata/person.jpg: Predicted in 27.022957 seconds.\r\nNot compiled with OpenCV, saving to predictions.png instead`"}}
{"actor":{"display_login":"mobileonekh"}}