{"action":"created","issue":{"url":"https://api.github.com/repos/pjreddie/darknet/issues/560","repository_url":"https://api.github.com/repos/pjreddie/darknet","labels_url":"https://api.github.com/repos/pjreddie/darknet/issues/560/labels{/name}","comments_url":"https://api.github.com/repos/pjreddie/darknet/issues/560/comments","events_url":"https://api.github.com/repos/pjreddie/darknet/issues/560/events","html_url":"https://github.com/pjreddie/darknet/issues/560","id":308441199,"number":560,"title":"The probability of occurrence of 'nan' in learning has increased in yolov3.","user":{"login":"yjn870","id":6835037,"avatar_url":"https://avatars3.githubusercontent.com/u/6835037?v=4","gravatar_id":"","url":"https://api.github.com/users/yjn870","html_url":"https://github.com/yjn870","followers_url":"https://api.github.com/users/yjn870/followers","following_url":"https://api.github.com/users/yjn870/following{/other_user}","gists_url":"https://api.github.com/users/yjn870/gists{/gist_id}","starred_url":"https://api.github.com/users/yjn870/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yjn870/subscriptions","organizations_url":"https://api.github.com/users/yjn870/orgs","repos_url":"https://api.github.com/users/yjn870/repos","events_url":"https://api.github.com/users/yjn870/events{/privacy}","received_events_url":"https://api.github.com/users/yjn870/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-03-26T05:54:31Z","updated_at":"2018-03-27T02:21:43Z","closed_at":null,"author_association":"NONE","body":"**yolov2**\r\n./darknet detector train cfg/voc.data cfg/yolov2-voc.cfg darknet19_448.conv.23\r\nyolov2-voc\r\nlayer     filters    size              input                output\r\n    0 conv     32  3 x 3 / 1   416 x 416 x   3   ->   416 x 416 x  32  0.299 BFLOPs\r\n    1 max          2 x 2 / 2   416 x 416 x  32   ->   208 x 208 x  32\r\n    2 conv     64  3 x 3 / 1   208 x 208 x  32   ->   208 x 208 x  64  1.595 BFLOPs\r\n    3 max          2 x 2 / 2   208 x 208 x  64   ->   104 x 104 x  64\r\n    4 conv    128  3 x 3 / 1   104 x 104 x  64   ->   104 x 104 x 128  1.595 BFLOPs\r\n    5 conv     64  1 x 1 / 1   104 x 104 x 128   ->   104 x 104 x  64  0.177 BFLOPs\r\n    6 conv    128  3 x 3 / 1   104 x 104 x  64   ->   104 x 104 x 128  1.595 BFLOPs\r\n    7 max          2 x 2 / 2   104 x 104 x 128   ->    52 x  52 x 128\r\n    8 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n    9 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n   10 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   11 max          2 x 2 / 2    52 x  52 x 256   ->    26 x  26 x 256\r\n   12 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   13 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   14 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   15 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   16 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   17 max          2 x 2 / 2    26 x  26 x 512   ->    13 x  13 x 512\r\n   18 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   19 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\r\n   20 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   21 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\r\n   22 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   23 conv   1024  3 x 3 / 1    13 x  13 x1024   ->    13 x  13 x1024  3.190 BFLOPs\r\n   24 conv   1024  3 x 3 / 1    13 x  13 x1024   ->    13 x  13 x1024  3.190 BFLOPs\r\n   25 route  16\r\n   26 conv     64  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x  64  0.044 BFLOPs\r\n   27 reorg              / 2    26 x  26 x  64   ->    13 x  13 x 256\r\n   28 route  27 24\r\n   29 conv   1024  3 x 3 / 1    13 x  13 x1280   ->    13 x  13 x1024  3.987 BFLOPs\r\n   30 conv    125  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 125  0.043 BFLOPs\r\n   31 detection\r\n21125 21125\r\nmask_scale: Using default '1.000000'\r\nLoading weights from darknet19_448.conv.23...Done!\r\nLearning Rate: 0.001, Momentum: 0.9, Decay: 0.0005\r\nResizing\r\n352\r\nLoaded: 0.000067 seconds\r\nRegion Avg IOU: 0.172932, Class: 0.073199, Obj: 0.416485, No Obj: 0.455092, Avg Recall: 0.058824,  count: 17\r\nRegion Avg IOU: 0.226733, Class: 0.087378, Obj: 0.459434, No Obj: 0.455581, Avg Recall: 0.074074,  count: 27\r\nRegion Avg IOU: 0.168763, Class: 0.030807, Obj: 0.541675, No Obj: 0.457116, Avg Recall: 0.090909,  count: 22\r\nRegion Avg IOU: 0.120253, Class: 0.082913, Obj: 0.392314, No Obj: 0.456625, Avg Recall: 0.000000,  count: 12\r\nRegion Avg IOU: 0.153275, Class: 0.039615, Obj: 0.606610, No Obj: 0.455355, Avg Recall: 0.000000,  count: 31\r\nRegion Avg IOU: 0.245606, Class: 0.030234, Obj: 0.504820, No Obj: 0.456037, Avg Recall: 0.133333,  count: 15\r\nRegion Avg IOU: 0.218498, Class: 0.036994, Obj: 0.466600, No Obj: 0.452196, Avg Recall: 0.095238,  count: 21\r\nRegion Avg IOU: 0.204434, Class: 0.033537, Obj: 0.486664, No Obj: 0.459061, Avg Recall: 0.142857,  count: 14\r\n1: 206.362091, 206.362091 avg, 0.000000 rate, 0.671562 seconds, 64 images\r\nLoaded: 0.000068 seconds\r\nRegion Avg IOU: 0.150239, Class: 0.074074, Obj: 0.506929, No Obj: 0.455630, Avg Recall: 0.037037,  count: 27\r\nRegion Avg IOU: 0.108595, Class: 0.041128, Obj: 0.639023, No Obj: 0.453604, Avg Recall: 0.000000,  count: 15\r\nRegion Avg IOU: 0.129811, Class: 0.034692, Obj: 0.529507, No Obj: 0.455295, Avg Recall: 0.000000,  count: 17\r\nRegion Avg IOU: 0.232176, Class: 0.067514, Obj: 0.391457, No Obj: 0.454446, Avg Recall: 0.142857,  count: 14\r\nRegion Avg IOU: 0.184128, Class: 0.055702, Obj: 0.550151, No Obj: 0.454738, Avg Recall: 0.052632,  count: 19\r\nRegion Avg IOU: 0.186325, Class: 0.029436, Obj: 0.460590, No Obj: 0.457951, Avg Recall: 0.000000,  count: 23\r\nRegion Avg IOU: 0.146517, Class: 0.017825, Obj: 0.525231, No Obj: 0.457474, Avg Recall: 0.000000,  count: 14\r\nRegion Avg IOU: 0.185260, Class: 0.061658, Obj: 0.439727, No Obj: 0.456843, Avg Recall: 0.074074,  count: 27\r\n2: 199.058563, 205.631744 avg, 0.000000 rate, 0.665018 seconds, 128 images\r\nLoaded: 0.000075 seconds\r\nRegion Avg IOU: 0.148882, Class: 0.078798, Obj: 0.461316, No Obj: 0.456255, Avg Recall: 0.000000,  count: 13\r\nRegion Avg IOU: 0.152110, Class: 0.083853, Obj: 0.525010, No Obj: 0.458589, Avg Recall: 0.045455,  count: 22\r\nRegion Avg IOU: 0.169859, Class: 0.035184, Obj: 0.358463, No Obj: 0.456955, Avg Recall: 0.000000,  count: 15\r\nRegion Avg IOU: 0.074488, Class: 0.028641, Obj: 0.528474, No Obj: 0.457252, Avg Recall: 0.000000,  count: 12\r\nRegion Avg IOU: 0.137748, Class: 0.036821, Obj: 0.508339, No Obj: 0.457806, Avg Recall: 0.000000,  count: 19\r\nRegion Avg IOU: 0.150358, Class: 0.038799, Obj: 0.586011, No Obj: 0.456532, Avg Recall: 0.083333,  count: 12\r\nRegion Avg IOU: 0.098337, Class: 0.066872, Obj: 0.420799, No Obj: 0.455780, Avg Recall: 0.000000,  count: 18\r\nRegion Avg IOU: 0.117497, Class: 0.037499, Obj: 0.427827, No Obj: 0.455491, Avg Recall: 0.000000,  count: 15\r\n3: 208.144287, 205.882996 avg, 0.000000 rate, 0.666492 seconds, 192 images\r\nLoaded: 0.000070 seconds\r\nRegion Avg IOU: 0.217646, Class: 0.036048, Obj: 0.547802, No Obj: 0.457840, Avg Recall: 0.000000,  count: 12\r\nRegion Avg IOU: 0.143707, Class: 0.035966, Obj: 0.366759, No Obj: 0.457593, Avg Recall: 0.050000,  count: 20\r\nRegion Avg IOU: 0.162055, Class: 0.024501, Obj: 0.541471, No Obj: 0.455676, Avg Recall: 0.000000,  count: 15\r\nRegion Avg IOU: 0.178826, Class: 0.038645, Obj: 0.445055, No Obj: 0.456631, Avg Recall: 0.083333,  count: 24\r\nRegion Avg IOU: 0.126842, Class: 0.041665, Obj: 0.491747, No Obj: 0.455918, Avg Recall: 0.071429,  count: 14\r\nRegion Avg IOU: 0.112320, Class: 0.103955, Obj: 0.441376, No Obj: 0.455905, Avg Recall: 0.000000,  count: 10\r\nRegion Avg IOU: 0.169555, Class: 0.029025, Obj: 0.601344, No Obj: 0.456498, Avg Recall: 0.000000,  count: 23\r\nRegion Avg IOU: 0.113210, Class: 0.052653, Obj: 0.517210, No Obj: 0.457318, Avg Recall: 0.045455,  count: 22\r\n4: 207.050140, 205.999710 avg, 0.000000 rate, 0.656546 seconds, 256 images\r\nLoaded: 0.000105 seconds\r\nRegion Avg IOU: 0.140079, Class: 0.085521, Obj: 0.611145, No Obj: 0.457509, Avg Recall: 0.090909,  count: 11\r\nRegion Avg IOU: 0.154055, Class: 0.030379, Obj: 0.497848, No Obj: 0.457528, Avg Recall: 0.000000,  count: 14\r\nRegion Avg IOU: 0.111925, Class: 0.086862, Obj: 0.582394, No Obj: 0.456015, Avg Recall: 0.000000,  count: 24\r\nRegion Avg IOU: 0.165389, Class: 0.036023, Obj: 0.561927, No Obj: 0.456145, Avg Recall: 0.076923,  count: 26\r\nRegion Avg IOU: 0.173753, Class: 0.035183, Obj: 0.583397, No Obj: 0.459282, Avg Recall: 0.052632,  count: 19\r\nRegion Avg IOU: 0.174121, Class: 0.044069, Obj: 0.516023, No Obj: 0.457686, Avg Recall: 0.062500,  count: 16\r\nRegion Avg IOU: 0.093323, Class: 0.075904, Obj: 0.450859, No Obj: 0.457811, Avg Recall: 0.000000,  count: 17\r\nRegion Avg IOU: 0.151735, Class: 0.057463, Obj: 0.519273, No Obj: 0.457252, Avg Recall: 0.052632,  count: 19\r\n5: 210.524384, 206.452179 avg, 0.000000 rate, 0.663139 seconds, 320 images\r\nLoaded: 0.000066 seconds\r\nRegion Avg IOU: 0.138051, Class: 0.042701, Obj: 0.568811, No Obj: 0.457801, Avg Recall: 0.000000,  count: 20\r\nRegion Avg IOU: 0.127011, Class: 0.062812, Obj: 0.519404, No Obj: 0.456642, Avg Recall: 0.000000,  count: 10\r\nRegion Avg IOU: 0.169190, Class: 0.046100, Obj: 0.497564, No Obj: 0.454395, Avg Recall: 0.000000,  count: 22\r\nRegion Avg IOU: 0.255788, Class: 0.079578, Obj: 0.499898, No Obj: 0.455741, Avg Recall: 0.040000,  count: 25\r\nRegion Avg IOU: 0.186912, Class: 0.055561, Obj: 0.468963, No Obj: 0.457258, Avg Recall: 0.000000,  count: 16\r\nRegion Avg IOU: 0.195199, Class: 0.061243, Obj: 0.485001, No Obj: 0.457437, Avg Recall: 0.117647,  count: 17\r\nRegion Avg IOU: 0.143087, Class: 0.037160, Obj: 0.578009, No Obj: 0.456813, Avg Recall: 0.038462,  count: 26\r\nRegion Avg IOU: 0.101073, Class: 0.024806, Obj: 0.568099, No Obj: 0.457339, Avg Recall: 0.000000,  count: 14\r\n6: 203.544174, 206.161377 avg, 0.000000 rate, 0.668459 seconds, 384 images\r\nLoaded: 0.000063 seconds\r\nRegion Avg IOU: 0.103483, Class: 0.051271, Obj: 0.528635, No Obj: 0.457901, Avg Recall: 0.055556,  count: 18\r\nRegion Avg IOU: 0.198955, Class: 0.074233, Obj: 0.561071, No Obj: 0.455943, Avg Recall: 0.052632,  count: 19\r\nRegion Avg IOU: 0.076796, Class: 0.030194, Obj: 0.596079, No Obj: 0.458931, Avg Recall: 0.000000,  count: 14\r\nRegion Avg IOU: 0.157097, Class: 0.020356, Obj: 0.445634, No Obj: 0.453122, Avg Recall: 0.000000,  count: 23\r\nRegion Avg IOU: 0.125707, Class: 0.050457, Obj: 0.389599, No Obj: 0.457247, Avg Recall: 0.000000,  count: 15\r\nRegion Avg IOU: 0.253784, Class: 0.028207, Obj: 0.485026, No Obj: 0.458208, Avg Recall: 0.100000,  count: 30\r\nRegion Avg IOU: 0.180943, Class: 0.040568, Obj: 0.434596, No Obj: 0.456965, Avg Recall: 0.074074,  count: 27\r\nRegion Avg IOU: 0.249811, Class: 0.068400, Obj: 0.577035, No Obj: 0.453632, Avg Recall: 0.250000,  count: 12\r\n7: 209.525757, 206.497818 avg, 0.000000 rate, 0.659296 seconds, 448 images\r\nLoaded: 0.000062 seconds\r\nRegion Avg IOU: 0.258213, Class: 0.021939, Obj: 0.455081, No Obj: 0.456932, Avg Recall: 0.187500,  count: 16\r\nRegion Avg IOU: 0.203427, Class: 0.038307, Obj: 0.456176, No Obj: 0.456424, Avg Recall: 0.176471,  count: 17\r\nRegion Avg IOU: 0.166089, Class: 0.021973, Obj: 0.606887, No Obj: 0.458339, Avg Recall: 0.000000,  count: 19\r\nRegion Avg IOU: 0.105551, Class: 0.027977, Obj: 0.536032, No Obj: 0.458344, Avg Recall: 0.000000,  count: 30\r\nRegion Avg IOU: 0.219140, Class: 0.021620, Obj: 0.540874, No Obj: 0.456243, Avg Recall: 0.105263,  count: 19\r\nRegion Avg IOU: 0.190040, Class: 0.033232, Obj: 0.538430, No Obj: 0.457394, Avg Recall: 0.153846,  count: 13\r\nRegion Avg IOU: 0.148803, Class: 0.033309, Obj: 0.494000, No Obj: 0.456445, Avg Recall: 0.041667,  count: 24\r\nRegion Avg IOU: 0.189296, Class: 0.022914, Obj: 0.482326, No Obj: 0.457460, Avg Recall: 0.052632,  count: 19\r\n8: 203.719345, 206.219971 avg, 0.000000 rate, 0.659983 seconds, 512 images\r\nLoaded: 0.000053 seconds\r\nRegion Avg IOU: 0.135816, Class: 0.028714, Obj: 0.530548, No Obj: 0.458745, Avg Recall: 0.045455,  count: 22\r\nRegion Avg IOU: 0.191605, Class: 0.028305, Obj: 0.591500, No Obj: 0.455624, Avg Recall: 0.117647,  count: 17\r\nRegion Avg IOU: 0.174639, Class: 0.053519, Obj: 0.538155, No Obj: 0.456032, Avg Recall: 0.076923,  count: 13\r\nRegion Avg IOU: 0.221348, Class: 0.045370, Obj: 0.477103, No Obj: 0.456972, Avg Recall: 0.090909,  count: 22\r\nRegion Avg IOU: 0.186292, Class: 0.027773, Obj: 0.495865, No Obj: 0.456313, Avg Recall: 0.052632,  count: 19\r\nRegion Avg IOU: 0.141310, Class: 0.020100, Obj: 0.516097, No Obj: 0.458361, Avg Recall: 0.000000,  count: 33\r\nRegion Avg IOU: 0.143138, Class: 0.062843, Obj: 0.603592, No Obj: 0.455128, Avg Recall: 0.000000,  count: 27\r\nRegion Avg IOU: 0.223102, Class: 0.070361, Obj: 0.485673, No Obj: 0.455967, Avg Recall: 0.050000,  count: 20\r\n9: 216.904800, 207.288452 avg, 0.000000 rate, 0.660023 seconds, 576 images\r\nLoaded: 0.000067 seconds\r\nRegion Avg IOU: 0.183127, Class: 0.026213, Obj: 0.558352, No Obj: 0.456416, Avg Recall: 0.100000,  count: 20\r\nRegion Avg IOU: 0.061071, Class: 0.027830, Obj: 0.552263, No Obj: 0.455063, Avg Recall: 0.000000,  count: 10\r\nRegion Avg IOU: 0.120623, Class: 0.062201, Obj: 0.425555, No Obj: 0.456090, Avg Recall: 0.000000,  count: 18\r\nRegion Avg IOU: 0.185637, Class: 0.038465, Obj: 0.454085, No Obj: 0.456819, Avg Recall: 0.066667,  count: 15\r\nRegion Avg IOU: 0.100328, Class: 0.032170, Obj: 0.527450, No Obj: 0.458139, Avg Recall: 0.000000,  count: 13\r\nRegion Avg IOU: 0.131968, Class: 0.063409, Obj: 0.481116, No Obj: 0.453916, Avg Recall: 0.000000,  count: 19\r\nRegion Avg IOU: 0.189680, Class: 0.041555, Obj: 0.529529, No Obj: 0.455973, Avg Recall: 0.136364,  count: 22\r\nRegion Avg IOU: 0.070400, Class: 0.069588, Obj: 0.587180, No Obj: 0.460332, Avg Recall: 0.041667,  count: 24\r\n10: 214.196014, 207.979202 avg, 0.000000 rate, 0.659089 seconds, 640 images\r\n\r\n**yolov3**\r\n./darknet detector train cfg/voc.data cfg/yolov3-voc.cfg darknet53.conv.74                      \r\nyolov3-voc\r\nlayer     filters    size              input                output\r\n    0 conv     32  3 x 3 / 1   416 x 416 x   3   ->   416 x 416 x  32  0.299 BFLOPs\r\n    1 conv     64  3 x 3 / 2   416 x 416 x  32   ->   208 x 208 x  64  1.595 BFLOPs\r\n    2 conv     32  1 x 1 / 1   208 x 208 x  64   ->   208 x 208 x  32  0.177 BFLOPs\r\n    3 conv     64  3 x 3 / 1   208 x 208 x  32   ->   208 x 208 x  64  1.595 BFLOPs\r\n    4 res    1                 208 x 208 x  64   ->   208 x 208 x  64\r\n    5 conv    128  3 x 3 / 2   208 x 208 x  64   ->   104 x 104 x 128  1.595 BFLOPs\r\n    6 conv     64  1 x 1 / 1   104 x 104 x 128   ->   104 x 104 x  64  0.177 BFLOPs\r\n    7 conv    128  3 x 3 / 1   104 x 104 x  64   ->   104 x 104 x 128  1.595 BFLOPs\r\n    8 res    5                 104 x 104 x 128   ->   104 x 104 x 128\r\n    9 conv     64  1 x 1 / 1   104 x 104 x 128   ->   104 x 104 x  64  0.177 BFLOPs\r\n   10 conv    128  3 x 3 / 1   104 x 104 x  64   ->   104 x 104 x 128  1.595 BFLOPs\r\n   11 res    8                 104 x 104 x 128   ->   104 x 104 x 128\r\n   12 conv    256  3 x 3 / 2   104 x 104 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   13 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n   14 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   15 res   12                  52 x  52 x 256   ->    52 x  52 x 256\r\n   16 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n   17 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   18 res   15                  52 x  52 x 256   ->    52 x  52 x 256\r\n   19 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n   20 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   21 res   18                  52 x  52 x 256   ->    52 x  52 x 256\r\n   22 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n   23 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   24 res   21                  52 x  52 x 256   ->    52 x  52 x 256\r\n   25 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n   26 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   27 res   24                  52 x  52 x 256   ->    52 x  52 x 256\r\n   28 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n   29 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   30 res   27                  52 x  52 x 256   ->    52 x  52 x 256\r\n   31 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n   32 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   33 res   30                  52 x  52 x 256   ->    52 x  52 x 256\r\n   34 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n   35 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n   36 res   33                  52 x  52 x 256   ->    52 x  52 x 256\r\n   37 conv    512  3 x 3 / 2    52 x  52 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   38 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   39 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   40 res   37                  26 x  26 x 512   ->    26 x  26 x 512\r\n   41 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   42 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   43 res   40                  26 x  26 x 512   ->    26 x  26 x 512\r\n   44 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   45 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   46 res   43                  26 x  26 x 512   ->    26 x  26 x 512\r\n   47 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   48 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   49 res   46                  26 x  26 x 512   ->    26 x  26 x 512\r\n   50 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   51 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   52 res   49                  26 x  26 x 512   ->    26 x  26 x 512\r\n   53 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   54 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   55 res   52                  26 x  26 x 512   ->    26 x  26 x 512\r\n   56 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   57 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   58 res   55                  26 x  26 x 512   ->    26 x  26 x 512\r\n   59 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   60 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   61 res   58                  26 x  26 x 512   ->    26 x  26 x 512\r\n   62 conv   1024  3 x 3 / 2    26 x  26 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   63 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\r\n   64 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   65 res   62                  13 x  13 x1024   ->    13 x  13 x1024\r\n   66 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\r\n   67 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   68 res   65                  13 x  13 x1024   ->    13 x  13 x1024\r\n   69 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\r\n   70 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   71 res   68                  13 x  13 x1024   ->    13 x  13 x1024\r\n   72 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\r\n   73 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   74 res   71                  13 x  13 x1024   ->    13 x  13 x1024\r\n   75 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\r\n   76 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   77 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\r\n   78 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   79 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\r\n   80 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\r\n   81 conv     75  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x  75  0.026 BFLOPs\r\n   82 detection\r\n   83 route  79\r\n   84 conv    256  1 x 1 / 1    13 x  13 x 512   ->    13 x  13 x 256  0.044 BFLOPs\r\n   85 upsample            2x    13 x  13 x 256   ->    26 x  26 x 256\r\n   86 route  85 61\r\n   87 conv    256  1 x 1 / 1    26 x  26 x 768   ->    26 x  26 x 256  0.266 BFLOPs\r\n   88 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   89 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   90 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   91 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\r\n   92 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\r\n   93 conv     75  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x  75  0.052 BFLOPs\r\n   94 detection\r\n   95 route  91\r\n   96 conv    128  1 x 1 / 1    26 x  26 x 256   ->    26 x  26 x 128  0.044 BFLOPs\r\n   97 upsample            2x    26 x  26 x 128   ->    52 x  52 x 128\r\n   98 route  97 36\r\n   99 conv    128  1 x 1 / 1    52 x  52 x 384   ->    52 x  52 x 128  0.266 BFLOPs\r\n  100 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n  101 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n  102 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n  103 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\r\n  104 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\r\n  105 conv     75  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x  75  0.104 BFLOPs\r\n  106 detection\r\nLoading weights from darknet53.conv.74...Done!\r\nLearning Rate: 0.001, Momentum: 0.9, Decay: 0.0005\r\nResizing\r\n416\r\nLoaded: 0.000065 seconds\r\nRegion 82 Avg IOU: 0.190704, Class: 0.740781, Obj: 0.709642, No Obj: 0.592393, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 94 Avg IOU: 0.031334, Class: 0.410262, Obj: 0.791749, No Obj: 0.514071, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 106 Avg IOU: 0.164947, Class: 0.792285, Obj: 0.837847, No Obj: 0.470089, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 82 Avg IOU: 0.061594, Class: 0.274656, Obj: 0.762575, No Obj: 0.590649, .5R: 0.000000, .75R: 0.000000,  count: 5\r\nRegion 94 Avg IOU: 0.125089, Class: 0.448301, Obj: 0.682218, No Obj: 0.513737, .5R: 0.000000, .75R: 0.000000,  count: 5\r\nRegion 106 Avg IOU: 0.103931, Class: 0.943185, Obj: 0.449675, No Obj: 0.471452, .5R: 0.000000, .75R: 0.000000,  count: 5\r\nRegion 82 Avg IOU: 0.059968, Class: 0.563527, Obj: 0.555450, No Obj: 0.590822, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 94 Avg IOU: 0.223141, Class: 0.287853, Obj: 0.282854, No Obj: 0.512346, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 106 Avg IOU: 0.219512, Class: 0.749305, Obj: 0.622592, No Obj: 0.471360, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 82 Avg IOU: 0.053748, Class: 0.736111, Obj: 0.559202, No Obj: 0.590799, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 94 Avg IOU: 0.059501, Class: 0.764014, Obj: 0.284254, No Obj: 0.513547, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 106 Avg IOU: 0.111142, Class: 0.463930, Obj: 0.509222, No Obj: 0.469791, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 82 Avg IOU: 0.181225, Class: 0.914066, Obj: 0.476433, No Obj: 0.590061, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 94 Avg IOU: 0.080072, Class: 0.322469, Obj: 0.055580, No Obj: 0.513269, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 106 Avg IOU: 0.098098, Class: 0.503395, Obj: 0.387163, No Obj: 0.468528, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 82 Avg IOU: 0.061794, Class: 0.682970, Obj: 0.759330, No Obj: 0.590620, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 94 Avg IOU: 0.131925, Class: 0.471203, Obj: 0.266458, No Obj: 0.513800, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 106 Avg IOU: 0.097094, Class: 0.544692, Obj: 0.607209, No Obj: 0.470528, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 82 Avg IOU: 0.005337, Class: 0.437142, Obj: 0.566538, No Obj: 0.590952, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 94 Avg IOU: 0.292608, Class: 0.548704, Obj: 0.469275, No Obj: 0.513833, .5R: 0.500000, .75R: 0.000000,  count: 2\r\nRegion 106 Avg IOU: 0.122378, Class: 0.510955, Obj: 0.440581, No Obj: 0.470070, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 82 Avg IOU: 0.100235, Class: 0.508078, Obj: 0.325721, No Obj: 0.590406, .5R: 0.000000, .75R: 0.000000,  count: 3\r\nRegion 94 Avg IOU: 0.180972, Class: 0.279567, Obj: 0.387911, No Obj: 0.513841, .5R: 0.000000, .75R: 0.000000,  count: 3\r\nRegion 106 Avg IOU: 0.162607, Class: 0.435788, Obj: 0.343397, No Obj: 0.470681, .5R: 0.000000, .75R: 0.000000,  count: 3\r\nRegion 82 Avg IOU: 0.080129, Class: 0.506513, Obj: 0.492548, No Obj: 0.591344, .5R: 0.000000, .75R: 0.000000,  count: 10\r\nRegion 94 Avg IOU: 0.187192, Class: 0.509168, Obj: 0.522381, No Obj: 0.514139, .5R: 0.100000, .75R: 0.000000,  count: 10\r\nRegion 106 Avg IOU: 0.147733, Class: 0.687188, Obj: 0.482433, No Obj: 0.469596, .5R: 0.000000, .75R: 0.000000,  count: 10\r\n1: 985.277832, 985.277832 avg, 0.000000 rate, 2.170971 seconds, 63 images\r\nLoaded: 0.000068 seconds\r\nRegion 82 Avg IOU: 0.047642, Class: 0.719332, Obj: 0.868803, No Obj: 0.591326, .5R: 0.000000, .75R: 0.000000,  count: 6\r\nRegion 94 Avg IOU: 0.095989, Class: 0.600145, Obj: 0.509213, No Obj: 0.513354, .5R: 0.000000, .75R: 0.000000,  count: 6\r\nRegion 106 Avg IOU: 0.219987, Class: 0.597639, Obj: 0.240670, No Obj: 0.469647, .5R: 0.166667, .75R: 0.000000,  count: 6\r\nRegion 82 Avg IOU: 0.073116, Class: 0.501768, Obj: 0.604463, No Obj: 0.592429, .5R: 0.000000, .75R: 0.000000,  count: 4\r\nRegion 94 Avg IOU: 0.058297, Class: 0.426813, Obj: 0.365488, No Obj: 0.513348, .5R: 0.000000, .75R: 0.000000,  count: 4\r\nRegion 106 Avg IOU: 0.164842, Class: 0.524613, Obj: 0.395852, No Obj: 0.467847, .5R: 0.000000, .75R: 0.000000,  count: 4\r\nRegion 82 Avg IOU: 0.083497, Class: 0.295556, Obj: 0.422576, No Obj: 0.590049, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 94 Avg IOU: 0.297590, Class: 0.441001, Obj: 0.590489, No Obj: 0.513618, .5R: 0.500000, .75R: 0.000000,  count: 2\r\nRegion 106 Avg IOU: 0.300866, Class: 0.658477, Obj: 0.492063, No Obj: 0.468453, .5R: 0.500000, .75R: 0.000000,  count: 2\r\nRegion 82 Avg IOU: 0.000000, Class: 0.872313, Obj: 0.714982, No Obj: 0.589414, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 94 Avg IOU: 0.095178, Class: 0.662358, Obj: 0.203013, No Obj: 0.514277, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 106 Avg IOU: 0.111564, Class: 0.529312, Obj: 0.453379, No Obj: 0.470580, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 82 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.591576, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.512901, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.471036, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 82 Avg IOU: 0.000000, Class: 0.647457, Obj: 0.772030, No Obj: 0.591144, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 94 Avg IOU: 0.000000, Class: 0.222532, Obj: 0.635689, No Obj: 0.513414, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 106 Avg IOU: 0.196492, Class: 0.683900, Obj: 0.680990, No Obj: 0.472920, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 82 Avg IOU: 0.025963, Class: 0.820389, Obj: 0.823175, No Obj: 0.589389, .5R: 0.000000, .75R: 0.000000,  count: 14\r\nRegion 94 Avg IOU: 0.057585, Class: 0.418040, Obj: 0.718170, No Obj: 0.513109, .5R: 0.000000, .75R: 0.000000,  count: 14\r\nRegion 106 Avg IOU: 0.170535, Class: 0.330900, Obj: 0.417796, No Obj: 0.474993, .5R: 0.071429, .75R: 0.000000,  count: 14\r\nRegion 82 Avg IOU: 0.238592, Class: 0.742183, Obj: 0.641510, No Obj: 0.591632, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 94 Avg IOU: 0.370689, Class: 0.428483, Obj: 0.674041, No Obj: 0.513199, .5R: 0.500000, .75R: 0.000000,  count: 2\r\nRegion 106 Avg IOU: 0.228465, Class: 0.563272, Obj: 0.145735, No Obj: 0.470607, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 82 Avg IOU: 0.080234, Class: 0.784869, Obj: 0.244848, No Obj: 0.592738, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 94 Avg IOU: 0.136115, Class: 0.706861, Obj: 0.601392, No Obj: 0.513310, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 106 Avg IOU: 0.289910, Class: 0.812961, Obj: 0.339959, No Obj: 0.470407, .5R: 0.000000, .75R: 0.000000,  count: 2\r\n2: 984.079346, 985.157959 avg, 0.000000 rate, 2.265003 seconds, 126 images\r\nLoaded: 0.000134 seconds\r\nRegion 82 Avg IOU: 0.034332, Class: 0.055353, Obj: 0.765996, No Obj: 0.587861, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 94 Avg IOU: 0.040991, Class: 0.333858, Obj: 0.362111, No Obj: 0.512538, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 106 Avg IOU: 0.006114, Class: 0.396362, Obj: 0.597828, No Obj: 0.475204, .5R: 0.000000, .75R: 0.000000,  count: 2\r\nRegion 82 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.590706, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.513195, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.469370, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 82 Avg IOU: 0.278676, Class: 0.832263, Obj: 0.808195, No Obj: 0.590561, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 94 Avg IOU: 0.047208, Class: 0.111553, Obj: 0.936471, No Obj: 0.513079, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 106 Avg IOU: 0.160032, Class: 0.741549, Obj: 0.392632, No Obj: 0.469426, .5R: 0.000000, .75R: 0.000000,  count: 1\r\nRegion 82 Avg IOU: 0.167428, Class: 0.526888, Obj: 0.550609, No Obj: 0.590988, .5R: 0.142857, .75R: 0.000000,  count: 7\r\nRegion 94 Avg IOU: 0.177643, Class: 0.423395, Obj: 0.688166, No Obj: 0.512807, .5R: 0.000000, .75R: 0.000000,  count: 7\r\nRegion 106 Avg IOU: 0.104065, Class: 0.465744, Obj: 0.496708, No Obj: 0.470529, .5R: 0.000000, .75R: 0.000000,  count: 7\r\nRegion 82 Avg IOU: 0.048593, Class: 0.460855, Obj: 0.546822, No Obj: 0.590760, .5R: 0.000000, .75R: 0.000000,  count: 3\r\nRegion 94 Avg IOU: 0.168190, Class: 0.579045, Obj: 0.642381, No Obj: 0.513560, .5R: 0.000000, .75R: 0.000000,  count: 3\r\nRegion 106 Avg IOU: 0.280485, Class: 0.339997, Obj: 0.383848, No Obj: 0.470723, .5R: 0.000000, .75R: 0.000000,  count: 3\r\nRegion 82 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.592642, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.512993, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.472182, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 82 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.589521, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.514411, .5R: -nan, .75R: -nan,  count: 0\r\nRegion 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.470534, .5R: -nan, .75R: -nan,  count: 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images\r\n"},"comment":{"url":"https://api.github.com/repos/pjreddie/darknet/issues/comments/376374354","html_url":"https://github.com/pjreddie/darknet/issues/560#issuecomment-376374354","issue_url":"https://api.github.com/repos/pjreddie/darknet/issues/560","id":376374354,"user":{"login":"yjn870","id":6835037,"avatar_url":"https://avatars3.githubusercontent.com/u/6835037?v=4","gravatar_id":"","url":"https://api.github.com/users/yjn870","html_url":"https://github.com/yjn870","followers_url":"https://api.github.com/users/yjn870/followers","following_url":"https://api.github.com/users/yjn870/following{/other_user}","gists_url":"https://api.github.com/users/yjn870/gists{/gist_id}","starred_url":"https://api.github.com/users/yjn870/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yjn870/subscriptions","organizations_url":"https://api.github.com/users/yjn870/orgs","repos_url":"https://api.github.com/users/yjn870/repos","events_url":"https://api.github.com/users/yjn870/events{/privacy}","received_events_url":"https://api.github.com/users/yjn870/received_events","type":"User","site_admin":false},"created_at":"2018-03-27T02:21:43Z","updated_at":"2018-03-27T02:21:43Z","author_association":"NONE","body":"@fabito In yolov2, learning is well. "}}
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