I0113 13:44:05.259315 9 solver.cpp:75] Solver scaffolding done.
    I0113 13:44:05.261256 9 caffe.cpp:251] Starting Optimization
    I0113 13:44:05.261266 9 solver.cpp:294] Solving SSD_224x224_train
    I0113 13:44:05.261270 9 solver.cpp:295] Learning Rate Policy: multistep
    I0113 13:44:05.262486 9 blocking_queue.cpp:50] Data layer prefetch queue empty
    I0113 13:44:13.470261 9 solver.cpp:243] Iteration 0, loss = 17.8408
    I0113 13:44:13.470350 9 solver.cpp:259] Train net output #0: mbox_loss = 17.8408 ( 1 = 17.8408 loss)
    I0113 13:44:13.470386 9 sgd_solver.cpp:138] Iteration 0, lr = 0.0005
    I0113 14:27:02.265939 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_225.caffemodel
    I0113 14:27:02.284389 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_225.solverstate
    I0113 14:27:02.295881 9 solver.cpp:433] Iteration 225, Testing net (#0)
    I0113 14:27:02.297276 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 14:27:17.166163 9 solver.cpp:540] class1: 0.521125
    I0113 14:27:17.166218 9 solver.cpp:546] Test net output #0: detection_eval = 0.521125
    I0113 14:27:17.637965 9 solver.cpp:243] Iteration 225, loss = 3.9725
    I0113 14:27:17.638011 9 solver.cpp:259] Train net output #0: mbox_loss = 4.29296 (     1 = 4.29296 loss)
    I0113 14:27:17.638020 9 sgd_solver.cpp:138] Iteration 225, lr = 0.0005
    I0113 15:10:20.780035 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_450.caffemodel
    I0113 15:10:20.799126 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_450.solverstate
    I0113 15:10:20.814088 9 solver.cpp:433] Iteration 450, Testing net (#0)
    I0113 15:10:20.814213 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 15:10:35.298113 9 solver.cpp:540] class1: 0.673653
    I0113 15:10:35.298202 9 solver.cpp:546] Test net output #0: detection_eval = 0.673653
    I0113 15:10:35.759274 9 solver.cpp:243] Iteration 450, loss = 3.55868
    I0113 15:10:35.759326 9 solver.cpp:259] Train net output #0: mbox_loss = 3.76873 ( 1 = 3.76873 loss)
    I0113 15:10:35.759337 9 sgd_solver.cpp:138] Iteration 450, lr = 0.0005
    I0113 15:53:48.474969 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_675.caffemodel
    I0113 15:53:48.490684 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_675.solverstate
    I0113 15:53:48.501603 9 solver.cpp:433] Iteration 675, Testing net (#0)
    I0113 15:53:48.501765 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 15:54:03.106103 9 solver.cpp:540] class1: 0.665449
    I0113 15:54:03.106156 9 solver.cpp:546] Test net output #0: detection_eval = 0.665449
    I0113 15:54:03.564324 9 solver.cpp:243] Iteration 675, loss = 3.4114
    I0113 15:54:03.564373 9 solver.cpp:259] Train net output #0: mbox_loss = 3.45177 (     1 = 3.45177 loss)
    I0113 15:54:03.564383 9 sgd_solver.cpp:138] Iteration 675, lr = 0.0005
    I0113 16:39:02.121549 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_900.caffemodel
    I0113 16:39:02.137084 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_900.solverstate
    I0113 16:39:02.147087 9 solver.cpp:433] Iteration 900, Testing net (#0)
    I0113 16:39:02.147184 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 16:39:17.852845 9 solver.cpp:540] class1: 0.781268
    I0113 16:39:17.852892 9 solver.cpp:546] Test net output #0: detection_eval = 0.781268
    I0113 16:39:18.383181 9 solver.cpp:243] Iteration 900, loss = 3.14252
    I0113 16:39:18.383311 9 solver.cpp:259] Train net output #0: mbox_loss = 3.0414 ( 1 = 3.0414 loss)
    I0113 16:39:18.383338 9 sgd_solver.cpp:138] Iteration 900, lr = 0.0005
    I0113 16:48:08.811728 9 blocking_queue.cpp:50] Data layer prefetch queue empty
    I0113 17:26:29.199025 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_1125.caffemodel
    I0113 17:26:29.227217 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_1125.solverstate
    I0113 17:26:29.239398 9 solver.cpp:433] Iteration 1125, Testing net (#0)
    I0113 17:26:29.239512 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 17:26:44.645478 9 solver.cpp:540] class1: 0.826687
    I0113 17:26:44.645531 9 solver.cpp:546] Test net output #0: detection_eval = 0.826687
    I0113 17:26:45.116528 9 solver.cpp:243] Iteration 1125, loss = 3.05343
    I0113 17:26:45.116575 9 solver.cpp:259] Train net output #0: mbox_loss = 2.81067 (     1 = 2.81067 loss)
    I0113 17:26:45.116586 9 sgd_solver.cpp:138] Iteration 1125, lr = 0.0005
    I0113 18:14:21.375038 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_1350.caffemodel
    I0113 18:14:21.408344 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_1350.solverstate
    I0113 18:14:21.418431 9 solver.cpp:433] Iteration 1350, Testing net (#0)
    I0113 18:14:21.418542 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 18:14:36.399045 9 solver.cpp:540] class1: 0.847811
    I0113 18:14:36.399137 9 solver.cpp:546] Test net output #0: detection_eval = 0.847811
    I0113 18:14:36.849910 9 solver.cpp:243] Iteration 1350, loss = 2.92836
    I0113 18:14:36.849963 9 solver.cpp:259] Train net output #0: mbox_loss = 2.88049 ( 1 = 2.88049 loss)
    I0113 18:14:36.849973 9 sgd_solver.cpp:138] Iteration 1350, lr = 0.0005
    I0113 19:02:07.689051 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_1575.caffemodel
    I0113 19:02:07.708032 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_1575.solverstate
    I0113 19:02:07.719161 9 solver.cpp:433] Iteration 1575, Testing net (#0)
    I0113 19:02:07.719301 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 19:02:27.426371 9 solver.cpp:540] class1: 0.856828
    I0113 19:02:27.426419 9 solver.cpp:546] Test net output #0: detection_eval = 0.856828
    I0113 19:02:27.889844 9 solver.cpp:243] Iteration 1575, loss = 2.86933
    I0113 19:02:27.889955 9 solver.cpp:259] Train net output #0: mbox_loss = 2.91122 (     1 = 2.91122 loss)
    I0113 19:02:27.889979 9 sgd_solver.cpp:138] Iteration 1575, lr = 0.0005
    I0113 19:49:00.731067 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_1800.caffemodel
    I0113 19:49:00.747798 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_1800.solverstate
    I0113 19:49:00.759109 9 solver.cpp:433] Iteration 1800, Testing net (#0)
    I0113 19:49:00.759217 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 19:49:15.594628 9 solver.cpp:540] class1: 0.847325
    I0113 19:49:15.594699 9 solver.cpp:546] Test net output #0: detection_eval = 0.847325
    I0113 19:49:16.037914 9 solver.cpp:243] Iteration 1800, loss = 2.82206
    I0113 19:49:16.037969 9 solver.cpp:259] Train net output #0: mbox_loss = 2.95597 ( 1 = 2.95597 loss)
    I0113 19:49:16.037981 9 sgd_solver.cpp:138] Iteration 1800, lr = 0.0005
    I0113 20:06:29.147037 9 blocking_queue.cpp:50] Data layer prefetch queue empty
    I0113 20:31:51.796417 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_2025.caffemodel
    I0113 20:31:51.819391 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_2025.solverstate
    I0113 20:31:51.833086 9 solver.cpp:433] Iteration 2025, Testing net (#0)
    I0113 20:31:51.833251 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 20:32:05.455118 9 solver.cpp:540] class1: 0.868551
    I0113 20:32:05.455178 9 solver.cpp:546] Test net output #0: detection_eval = 0.868551
    I0113 20:32:05.905630 9 solver.cpp:243] Iteration 2025, loss = 2.71329
    I0113 20:32:05.905674 9 solver.cpp:259] Train net output #0: mbox_loss = 2.69058 (     1 = 2.69058 loss)
    I0113 20:32:05.905686 9 sgd_solver.cpp:138] Iteration 2025, lr = 0.0005
    I0113 21:15:10.517864 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_2250.caffemodel
    I0113 21:15:10.531971 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_2250.solverstate
    I0113 21:15:10.542117 9 solver.cpp:433] Iteration 2250, Testing net (#0)
    I0113 21:15:10.542210 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 21:15:24.479121 9 solver.cpp:540] class1: 0.867767
    I0113 21:15:24.479164 9 solver.cpp:546] Test net output #0: detection_eval = 0.867767
    I0113 21:15:24.930477 9 solver.cpp:243] Iteration 2250, loss = 2.64649
    I0113 21:15:24.930518 9 solver.cpp:259] Train net output #0: mbox_loss = 2.90805 ( 1 = 2.90805 loss)
    I0113 21:15:24.930527 9 sgd_solver.cpp:138] Iteration 2250, lr = 0.0005
    I0113 21:56:49.675698 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_2475.caffemodel
    I0113 21:56:49.690199 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_2475.solverstate
    I0113 21:56:49.707281 9 solver.cpp:433] Iteration 2475, Testing net (#0)
    I0113 21:56:49.707370 9 net.cpp:693] Ignoring source layer mbox_loss
    I0113 21:57:03.530829 9 solver.cpp:540] class1: 0.863909
    I0113 21:57:03.530876 9 solver.cpp:546] Test net output #0: detection_eval = 0.863909
    I0113 21:57:03.978205 9 solver.cpp:243] Iteration 2475, loss = 2.6476
    I0113 21:57:03.978255 9 solver.cpp:259] Train net output #0: mbox_loss = 2.67882 (     1 = 2.67882 loss)
    I0113 21:57:03.978266 9 sgd_solver.cpp:138] Iteration 2475, lr = 0.0005

    I0114 01:28:28.122908 9 solver.cpp:433] Iteration 3600, Testing net (#0)
    I0114 01:28:28.123013 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 01:28:42.273959 9 solver.cpp:540] class1: 0.880935
    I0114 01:28:42.274003 9 solver.cpp:546] Test net output #0: detection_eval = 0.880935
    I0114 01:28:42.776984 9 solver.cpp:243] Iteration 3600, loss = 2.5245
    I0114 01:28:42.777058 9 solver.cpp:259] Train net output #0: mbox_loss = 2.57255 ( 1 = 2.57255 loss)
    I0114 01:28:42.777077 9 sgd_solver.cpp:138] Iteration 3600, lr = 0.0005
    I0114 02:01:56.897423 9 blocking_queue.cpp:50] Data layer prefetch queue empty
    I0114 02:11:03.347824 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_3825.caffemodel
    I0114 02:11:03.380477 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_3825.solverstate
    I0114 02:11:03.392231 9 solver.cpp:433] Iteration 3825, Testing net (#0)
    I0114 02:11:03.392367 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 02:11:17.554805 9 solver.cpp:540] class1: 0.873222
    I0114 02:11:17.554869 9 solver.cpp:546] Test net output #0: detection_eval = 0.873222
    I0114 02:11:18.047199 9 solver.cpp:243] Iteration 3825, loss = 2.46271
    I0114 02:11:18.047242 9 solver.cpp:259] Train net output #0: mbox_loss = 2.5388 (     1 = 2.5388 loss)
    I0114 02:11:18.047253 9 sgd_solver.cpp:138] Iteration 3825, lr = 0.0005
    I0114 02:54:32.497295 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4050.caffemodel
    I0114 02:54:32.512215 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4050.solverstate
    I0114 02:54:32.521852 9 solver.cpp:433] Iteration 4050, Testing net (#0)
    I0114 02:54:32.521960 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 02:54:47.447332 9 solver.cpp:540] class1: 0.885375
    I0114 02:54:47.447381 9 solver.cpp:546] Test net output #0: detection_eval = 0.885375
    I0114 02:54:47.938879 9 solver.cpp:243] Iteration 4050, loss = 2.42002
    I0114 02:54:47.938925 9 solver.cpp:259] Train net output #0: mbox_loss = 2.51881 ( 1 = 2.51881 loss)
    I0114 02:54:47.938937 9 sgd_solver.cpp:138] Iteration 4050, lr = 0.0005
    I0114 03:39:56.183113 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4275.caffemodel
    I0114 03:39:56.201975 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4275.solverstate
    I0114 03:39:56.212952 9 solver.cpp:433] Iteration 4275, Testing net (#0)
    I0114 03:39:56.213057 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 03:40:11.355190 9 solver.cpp:540] class1: 0.890116
    I0114 03:40:11.355242 9 solver.cpp:546] Test net output #0: detection_eval = 0.890116
    I0114 03:40:11.805860 9 solver.cpp:243] Iteration 4275, loss = 2.46739
    I0114 03:40:11.805904 9 solver.cpp:259] Train net output #0: mbox_loss = 2.3885 (     1 = 2.3885 loss)
    I0114 03:40:11.805917 9 sgd_solver.cpp:138] Iteration 4275, lr = 0.0005
    I0114 04:25:51.351488 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4500.caffemodel
    I0114 04:25:51.368680 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4500.solverstate
    I0114 04:25:51.380964 9 solver.cpp:433] Iteration 4500, Testing net (#0)
    I0114 04:25:51.381065 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 04:26:07.005970 9 solver.cpp:540] class1: 0.886641
    I0114 04:26:07.006044 9 solver.cpp:546] Test net output #0: detection_eval = 0.886641
    I0114 04:26:07.514725 9 solver.cpp:243] Iteration 4500, loss = 2.46775
    I0114 04:26:07.514775 9 solver.cpp:259] Train net output #0: mbox_loss = 2.58439 ( 1 = 2.58439 loss)
    I0114 04:26:07.514787 9 sgd_solver.cpp:138] Iteration 4500, lr = 0.0005
    I0114 05:11:00.596685 9 blocking_queue.cpp:50] Data layer prefetch queue empty
    I0114 05:11:46.084703 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4725.caffemodel
    I0114 05:11:46.104954 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4725.solverstate
    I0114 05:11:46.114445 9 solver.cpp:433] Iteration 4725, Testing net (#0)
    I0114 05:11:46.114557 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 05:12:00.737323 9 solver.cpp:540] class1: 0.894949
    I0114 05:12:00.737365 9 solver.cpp:546] Test net output #0: detection_eval = 0.894949
    I0114 05:12:03.257149 9 solver.cpp:243] Iteration 4725, loss = 2.4025
    I0114 05:12:03.257197 9 solver.cpp:259] Train net output #0: mbox_loss = 2.49712 (     1 = 2.49712 loss)
    I0114 05:12:03.257207 9 sgd_solver.cpp:138] Iteration 4725, lr = 0.0005
    I0114 05:57:46.773488 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4950.caffemodel
    I0114 05:57:46.796411 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_4950.solverstate
    I0114 05:57:46.809373 9 solver.cpp:433] Iteration 4950, Testing net (#0)
    I0114 05:57:46.809469 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 05:58:01.467087 9 solver.cpp:540] class1: 0.893245
    I0114 05:58:01.467157 9 solver.cpp:546] Test net output #0: detection_eval = 0.893245
    I0114 05:58:02.020306 9 solver.cpp:243] Iteration 4950, loss = 2.36859
    I0114 05:58:02.020350 9 solver.cpp:259] Train net output #0: mbox_loss = 2.46356 ( 1 = 2.46356 loss)
    I0114 05:58:02.020360 9 sgd_solver.cpp:138] Iteration 4950, lr = 0.0005
    I0114 06:42:57.670570 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_5175.caffemodel
    I0114 06:42:57.684890 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_5175.solverstate
    I0114 06:42:57.696633 9 solver.cpp:433] Iteration 5175, Testing net (#0)
    I0114 06:42:57.696730 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 06:43:11.513464 9 solver.cpp:540] class1: 0.896625
    I0114 06:43:11.513517 9 solver.cpp:546] Test net output #0: detection_eval = 0.896625
    I0114 06:43:11.949694 9 solver.cpp:243] Iteration 5175, loss = 2.42332
    I0114 06:43:11.949738 9 solver.cpp:259] Train net output #0: mbox_loss = 2.43351 (     1 = 2.43351 loss)
    I0114 06:43:11.949748 9 sgd_solver.cpp:138] Iteration 5175, lr = 0.0005
    I0114 07:25:18.238657 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_5400.caffemodel
    I0114 07:25:18.256258 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_5400.solverstate
    I0114 07:25:18.268193 9 solver.cpp:433] Iteration 5400, Testing net (#0)
    I0114 07:25:18.268321 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 07:25:32.382860 9 solver.cpp:540] class1: 0.89573
    I0114 07:25:32.382930 9 solver.cpp:546] Test net output #0: detection_eval = 0.89573
    I0114 07:25:32.838997 9 solver.cpp:243] Iteration 5400, loss = 2.33315
    I0114 07:25:32.839285 9 solver.cpp:259] Train net output #0: mbox_loss = 2.32265 ( 1 = 2.32265 loss)
    I0114 07:25:32.839313 9 sgd_solver.cpp:138] Iteration 5400, lr = 0.0005
    I0114 08:08:06.552871 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_5625.caffemodel
    I0114 08:08:06.572816 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_5625.solverstate
    I0114 08:08:06.585762 9 solver.cpp:433] Iteration 5625, Testing net (#0)
    I0114 08:08:06.586190 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 08:08:20.958269 9 solver.cpp:540] class1: 0.89491
    I0114 08:08:20.958320 9 solver.cpp:546] Test net output #0: detection_eval = 0.89491
    I0114 08:08:21.359210 9 solver.cpp:243] Iteration 5625, loss = 2.31273
    I0114 08:08:21.359252 9 solver.cpp:259] Train net output #0: mbox_loss = 2.18313 (     1 = 2.18313 loss)
    I0114 08:08:21.359263 9 sgd_solver.cpp:138] Iteration 5625, lr = 0.0005
    I0114 08:12:48.620632 9 blocking_queue.cpp:50] Data layer prefetch queue empty
    I0114 08:50:13.359571 9 solver.cpp:596] Snapshotting to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_5850.caffemodel
    I0114 08:50:13.375735 9 sgd_solver.cpp:307] Snapshotting solver state to binary proto file /guotengwei/script/centernet_vehicle_caffe/prototxt_res/snapshot_asp15/res_iter_5850.solverstate
    I0114 08:50:13.385885 9 solver.cpp:433] Iteration 5850, Testing net (#0)
    I0114 08:50:13.386006 9 net.cpp:693] Ignoring source layer mbox_loss
    I0114 08:50:27.619920 9 solver.cpp:540] class1: 0.896482
    I0114 08:50:27.619976 9 solver.cpp:546] Test net output #0: detection_eval = 0.896482
    I0114 08:50:28.069002 9 solver.cpp:243] Iteration 5850, loss = 2.35616
    I0114 08:50:28.069069 9 solver.cpp:259] Train net output #0: mbox_loss = 2.29291 (* 1 = 2.29291 loss)
    I0114 08:50:28.069084 9 sgd_solver.cpp:138] Iteration 5850, lr = 0.0005