CTPN_TRAIN_LOSS_LOG

I0101 22:15:14.068089 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00301973 (* 1 = 0.00301973 loss)
I0101 22:15:14.068097 25819 sgd_solver.cpp:106] Iteration 65020, lr = 1e-06
I0101 22:15:48.553035 25819 solver.cpp:228] Iteration 65040, loss = 0.0777401
I0101 22:15:48.553067 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0468914 (* 1 = 0.0468914 loss)
I0101 22:15:48.553077 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0452071 (* 1 = 0.0452071 loss)
I0101 22:15:48.553087 25819 sgd_solver.cpp:106] Iteration 65040, lr = 1e-06
I0101 22:16:18.146060 25819 solver.cpp:228] Iteration 65060, loss = 0.0294526
I0101 22:16:18.146093 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.011523 (* 1 = 0.011523 loss)
I0101 22:16:18.146101 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.019549 (* 1 = 0.019549 loss)
I0101 22:16:18.146109 25819 sgd_solver.cpp:106] Iteration 65060, lr = 1e-06
I0101 22:16:48.548668 25819 solver.cpp:228] Iteration 65080, loss = 0.0723316
I0101 22:16:48.548700 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00695193 (* 1 = 0.00695193 loss)
I0101 22:16:48.548722 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0158332 (* 1 = 0.0158332 loss)
I0101 22:16:48.548732 25819 sgd_solver.cpp:106] Iteration 65080, lr = 1e-06
I0101 22:17:17.679165 25819 solver.cpp:228] Iteration 65100, loss = 0.107444
I0101 22:17:17.679195 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0440632 (* 1 = 0.0440632 loss)
I0101 22:17:17.679203 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.022095 (* 1 = 0.022095 loss)
I0101 22:17:17.679209 25819 sgd_solver.cpp:106] Iteration 65100, lr = 1e-06
I0101 22:17:48.746866 25819 solver.cpp:228] Iteration 65120, loss = 0.0546391
I0101 22:17:48.746899 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0123247 (* 1 = 0.0123247 loss)
I0101 22:17:48.746909 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0538648 (* 1 = 0.0538648 loss)
I0101 22:17:48.746918 25819 sgd_solver.cpp:106] Iteration 65120, lr = 1e-06
I0101 22:18:22.325016 25819 solver.cpp:228] Iteration 65140, loss = 0.0610529
I0101 22:18:22.325049 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0363716 (* 1 = 0.0363716 loss)
I0101 22:18:22.325059 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0282846 (* 1 = 0.0282846 loss)
I0101 22:18:22.325073 25819 sgd_solver.cpp:106] Iteration 65140, lr = 1e-06
I0101 22:18:53.959937 25819 solver.cpp:228] Iteration 65160, loss = 0.141727
I0101 22:18:53.959969 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0863352 (* 1 = 0.0863352 loss)
I0101 22:18:53.959976 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0366494 (* 1 = 0.0366494 loss)
I0101 22:18:53.959985 25819 sgd_solver.cpp:106] Iteration 65160, lr = 1e-06
I0101 22:19:22.630472 25819 solver.cpp:228] Iteration 65180, loss = 0.0781562
I0101 22:19:22.630503 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0460006 (* 1 = 0.0460006 loss)
I0101 22:19:22.630511 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0115013 (* 1 = 0.0115013 loss)
I0101 22:19:22.630532 25819 sgd_solver.cpp:106] Iteration 65180, lr = 1e-06
speed: 1.513s / iter
I0101 22:19:52.020443 25819 solver.cpp:228] Iteration 65200, loss = 0.179902
I0101 22:19:52.020475 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.106173 (* 1 = 0.106173 loss)
I0101 22:19:52.020481 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.136578 (* 1 = 0.136578 loss)
I0101 22:19:52.020488 25819 sgd_solver.cpp:106] Iteration 65200, lr = 1e-06
I0101 22:20:22.689329 25819 solver.cpp:228] Iteration 65220, loss = 0.130221
I0101 22:20:22.689363 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0139965 (* 1 = 0.0139965 loss)
I0101 22:20:22.689370 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0482818 (* 1 = 0.0482818 loss)
I0101 22:20:22.689378 25819 sgd_solver.cpp:106] Iteration 65220, lr = 1e-06
I0101 22:20:51.597378 25819 solver.cpp:228] Iteration 65240, loss = 0.110273
I0101 22:20:51.597409 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0937241 (* 1 = 0.0937241 loss)
I0101 22:20:51.597429 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0426441 (* 1 = 0.0426441 loss)
I0101 22:20:51.597450 25819 sgd_solver.cpp:106] Iteration 65240, lr = 1e-06
I0101 22:21:20.174093 25819 solver.cpp:228] Iteration 65260, loss = 0.10859
I0101 22:21:20.174130 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0977788 (* 1 = 0.0977788 loss)
I0101 22:21:20.174137 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0853774 (* 1 = 0.0853774 loss)
I0101 22:21:20.174144 25819 sgd_solver.cpp:106] Iteration 65260, lr = 1e-06
I0101 22:21:48.687096 25819 solver.cpp:228] Iteration 65280, loss = 0.111095
I0101 22:21:48.687132 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0764614 (* 1 = 0.0764614 loss)
I0101 22:21:48.687142 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0793395 (* 1 = 0.0793395 loss)
I0101 22:21:48.687152 25819 sgd_solver.cpp:106] Iteration 65280, lr = 1e-06
I0101 22:22:18.768174 25819 solver.cpp:228] Iteration 65300, loss = 6.49526
I0101 22:22:18.768205 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.803956 (* 1 = 0.803956 loss)
I0101 22:22:18.768213 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 11.8625 (* 1 = 11.8625 loss)
I0101 22:22:18.768220 25819 sgd_solver.cpp:106] Iteration 65300, lr = 1e-06
I0101 22:22:46.401044 25819 solver.cpp:228] Iteration 65320, loss = 0.147818
I0101 22:22:46.401078 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0299305 (* 1 = 0.0299305 loss)
I0101 22:22:46.401084 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.147604 (* 1 = 0.147604 loss)
I0101 22:22:46.401091 25819 sgd_solver.cpp:106] Iteration 65320, lr = 1e-06
I0101 22:23:15.632572 25819 solver.cpp:228] Iteration 65340, loss = 0.142764
I0101 22:23:15.632604 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.040691 (* 1 = 0.040691 loss)
I0101 22:23:15.632611 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0633458 (* 1 = 0.0633458 loss)
I0101 22:23:15.632618 25819 sgd_solver.cpp:106] Iteration 65340, lr = 1e-06
I0101 22:23:45.476873 25819 solver.cpp:228] Iteration 65360, loss = 0.111984
I0101 22:23:45.476907 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0463406 (* 1 = 0.0463406 loss)
I0101 22:23:45.476915 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0524762 (* 1 = 0.0524762 loss)
I0101 22:23:45.476923 25819 sgd_solver.cpp:106] Iteration 65360, lr = 1e-06
I0101 22:24:20.133009 25819 solver.cpp:228] Iteration 65380, loss = 0.0899661
I0101 22:24:20.133040 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.100174 (* 1 = 0.100174 loss)
I0101 22:24:20.133061 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0491472 (* 1 = 0.0491472 loss)
I0101 22:24:20.133069 25819 sgd_solver.cpp:106] Iteration 65380, lr = 1e-06
speed: 1.513s / iter
I0101 22:24:48.944173 25819 solver.cpp:228] Iteration 65400, loss = 0.192664
I0101 22:24:48.944205 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0875366 (* 1 = 0.0875366 loss)
I0101 22:24:48.944212 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0339882 (* 1 = 0.0339882 loss)
I0101 22:24:48.944219 25819 sgd_solver.cpp:106] Iteration 65400, lr = 1e-06
I0101 22:25:18.227325 25819 solver.cpp:228] Iteration 65420, loss = 0.0988662
I0101 22:25:18.227357 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0578464 (* 1 = 0.0578464 loss)
I0101 22:25:18.227367 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0810526 (* 1 = 0.0810526 loss)
I0101 22:25:18.227376 25819 sgd_solver.cpp:106] Iteration 65420, lr = 1e-06
I0101 22:25:48.783324 25819 solver.cpp:228] Iteration 65440, loss = 0.248563
I0101 22:25:48.783355 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.137446 (* 1 = 0.137446 loss)
I0101 22:25:48.783361 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0686914 (* 1 = 0.0686914 loss)
I0101 22:25:48.783370 25819 sgd_solver.cpp:106] Iteration 65440, lr = 1e-06
I0101 22:26:17.812937 25819 solver.cpp:228] Iteration 65460, loss = 0.0931304
I0101 22:26:17.812968 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0387576 (* 1 = 0.0387576 loss)
I0101 22:26:17.812974 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0984105 (* 1 = 0.0984105 loss)
I0101 22:26:17.812981 25819 sgd_solver.cpp:106] Iteration 65460, lr = 1e-06
I0101 22:26:48.200089 25819 solver.cpp:228] Iteration 65480, loss = 5.7648
I0101 22:26:48.200120 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0125834 (* 1 = 0.0125834 loss)
I0101 22:26:48.200141 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0476322 (* 1 = 0.0476322 loss)
I0101 22:26:48.200150 25819 sgd_solver.cpp:106] Iteration 65480, lr = 1e-06
I0101 22:27:17.258433 25819 solver.cpp:228] Iteration 65500, loss = 0.105979
I0101 22:27:17.258463 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0187637 (* 1 = 0.0187637 loss)
I0101 22:27:17.258471 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0856569 (* 1 = 0.0856569 loss)
I0101 22:27:17.258478 25819 sgd_solver.cpp:106] Iteration 65500, lr = 1e-06
I0101 22:27:47.015600 25819 solver.cpp:228] Iteration 65520, loss = 5.80504
I0101 22:27:47.015630 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0985676 (* 1 = 0.0985676 loss)
I0101 22:27:47.015636 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0675662 (* 1 = 0.0675662 loss)
I0101 22:27:47.015645 25819 sgd_solver.cpp:106] Iteration 65520, lr = 1e-06
I0101 22:28:17.575526 25819 solver.cpp:228] Iteration 65540, loss = 0.128803
I0101 22:28:17.575558 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0653614 (* 1 = 0.0653614 loss)
I0101 22:28:17.575565 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.037994 (* 1 = 0.037994 loss)
I0101 22:28:17.575572 25819 sgd_solver.cpp:106] Iteration 65540, lr = 1e-06
I0101 22:28:47.785460 25819 solver.cpp:228] Iteration 65560, loss = 0.238604
I0101 22:28:47.785496 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.146172 (* 1 = 0.146172 loss)
I0101 22:28:47.785511 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.174553 (* 1 = 0.174553 loss)
I0101 22:28:47.785522 25819 sgd_solver.cpp:106] Iteration 65560, lr = 1e-06
I0101 22:29:18.684335 25819 solver.cpp:228] Iteration 65580, loss = 0.0298312
I0101 22:29:18.684367 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00575534 (* 1 = 0.00575534 loss)
I0101 22:29:18.684387 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00239955 (* 1 = 0.00239955 loss)
I0101 22:29:18.684396 25819 sgd_solver.cpp:106] Iteration 65580, lr = 1e-06
speed: 1.513s / iter
I0101 22:29:48.419230 25819 solver.cpp:228] Iteration 65600, loss = 11.3899
I0101 22:29:48.419263 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.356864 (* 1 = 0.356864 loss)
I0101 22:29:48.419270 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 22.377 (* 1 = 22.377 loss)
I0101 22:29:48.419277 25819 sgd_solver.cpp:106] Iteration 65600, lr = 1e-06
I0101 22:30:22.578256 25819 solver.cpp:228] Iteration 65620, loss = 0.072785
I0101 22:30:22.578287 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0122604 (* 1 = 0.0122604 loss)
I0101 22:30:22.578294 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.038306 (* 1 = 0.038306 loss)
I0101 22:30:22.578301 25819 sgd_solver.cpp:106] Iteration 65620, lr = 1e-06
I0101 22:30:57.952982 25819 solver.cpp:228] Iteration 65640, loss = 0.0394184
I0101 22:30:57.953012 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0183848 (* 1 = 0.0183848 loss)
I0101 22:30:57.953034 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0144561 (* 1 = 0.0144561 loss)
I0101 22:30:57.953042 25819 sgd_solver.cpp:106] Iteration 65640, lr = 1e-06
I0101 22:31:28.171665 25819 solver.cpp:228] Iteration 65660, loss = 0.0774471
I0101 22:31:28.171696 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.101191 (* 1 = 0.101191 loss)
I0101 22:31:28.171702 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0346566 (* 1 = 0.0346566 loss)
I0101 22:31:28.171710 25819 sgd_solver.cpp:106] Iteration 65660, lr = 1e-06
I0101 22:31:57.597187 25819 solver.cpp:228] Iteration 65680, loss = 0.104686
I0101 22:31:57.597220 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0115169 (* 1 = 0.0115169 loss)
I0101 22:31:57.597227 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0742032 (* 1 = 0.0742032 loss)
I0101 22:31:57.597234 25819 sgd_solver.cpp:106] Iteration 65680, lr = 1e-06
I0101 22:32:25.153884 25819 solver.cpp:228] Iteration 65700, loss = 0.0422597
I0101 22:32:25.153916 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0611184 (* 1 = 0.0611184 loss)
I0101 22:32:25.153937 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.016686 (* 1 = 0.016686 loss)
I0101 22:32:25.153944 25819 sgd_solver.cpp:106] Iteration 65700, lr = 1e-06
I0101 22:32:54.739009 25819 solver.cpp:228] Iteration 65720, loss = 0.150361
I0101 22:32:54.739042 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0891803 (* 1 = 0.0891803 loss)
I0101 22:32:54.739049 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.145405 (* 1 = 0.145405 loss)
I0101 22:32:54.739056 25819 sgd_solver.cpp:106] Iteration 65720, lr = 1e-06
I0101 22:33:25.456461 25819 solver.cpp:228] Iteration 65740, loss = 0.163075
I0101 22:33:25.456491 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0507868 (* 1 = 0.0507868 loss)
I0101 22:33:25.456499 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0790612 (* 1 = 0.0790612 loss)
I0101 22:33:25.456506 25819 sgd_solver.cpp:106] Iteration 65740, lr = 1e-06
I0101 22:33:56.037449 25819 solver.cpp:228] Iteration 65760, loss = 0.353153
I0101 22:33:56.037484 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0588191 (* 1 = 0.0588191 loss)
I0101 22:33:56.037499 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0533206 (* 1 = 0.0533206 loss)
I0101 22:33:56.037508 25819 sgd_solver.cpp:106] Iteration 65760, lr = 1e-06
I0101 22:34:27.024410 25819 solver.cpp:228] Iteration 65780, loss = 0.146681
I0101 22:34:27.024443 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.222541 (* 1 = 0.222541 loss)
I0101 22:34:27.024451 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0258138 (* 1 = 0.0258138 loss)
I0101 22:34:27.024459 25819 sgd_solver.cpp:106] Iteration 65780, lr = 1e-06
speed: 1.513s / iter
I0101 22:34:57.647743 25819 solver.cpp:228] Iteration 65800, loss = 0.0556153
I0101 22:34:57.647774 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0230833 (* 1 = 0.0230833 loss)
I0101 22:34:57.647780 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0698771 (* 1 = 0.0698771 loss)
I0101 22:34:57.647787 25819 sgd_solver.cpp:106] Iteration 65800, lr = 1e-06
I0101 22:35:26.528831 25819 solver.cpp:228] Iteration 65820, loss = 0.0709523
I0101 22:35:26.528861 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0355453 (* 1 = 0.0355453 loss)
I0101 22:35:26.528882 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.040823 (* 1 = 0.040823 loss)
I0101 22:35:26.528889 25819 sgd_solver.cpp:106] Iteration 65820, lr = 1e-06
I0101 22:35:57.247398 25819 solver.cpp:228] Iteration 65840, loss = 0.0714097
I0101 22:35:57.247428 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0259885 (* 1 = 0.0259885 loss)
I0101 22:35:57.247435 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0136654 (* 1 = 0.0136654 loss)
I0101 22:35:57.247443 25819 sgd_solver.cpp:106] Iteration 65840, lr = 1e-06
I0101 22:36:28.228457 25819 solver.cpp:228] Iteration 65860, loss = 0.245681
I0101 22:36:28.228489 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.174828 (* 1 = 0.174828 loss)
I0101 22:36:28.228497 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.105484 (* 1 = 0.105484 loss)
I0101 22:36:28.228504 25819 sgd_solver.cpp:106] Iteration 65860, lr = 1e-06
I0101 22:36:57.184991 25819 solver.cpp:228] Iteration 65880, loss = 9.28604
I0101 22:36:57.185022 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0489388 (* 1 = 0.0489388 loss)
I0101 22:36:57.185043 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0276275 (* 1 = 0.0276275 loss)
I0101 22:36:57.185065 25819 sgd_solver.cpp:106] Iteration 65880, lr = 1e-06
I0101 22:37:32.953735 25819 solver.cpp:228] Iteration 65900, loss = 0.171427
I0101 22:37:32.953768 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0314163 (* 1 = 0.0314163 loss)
I0101 22:37:32.953774 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.123411 (* 1 = 0.123411 loss)
I0101 22:37:32.953783 25819 sgd_solver.cpp:106] Iteration 65900, lr = 1e-06
I0101 22:38:04.449481 25819 solver.cpp:228] Iteration 65920, loss = 0.209492
I0101 22:38:04.449523 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.137083 (* 1 = 0.137083 loss)
I0101 22:38:04.449532 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.152795 (* 1 = 0.152795 loss)
I0101 22:38:04.449539 25819 sgd_solver.cpp:106] Iteration 65920, lr = 1e-06
I0101 22:38:33.077939 25819 solver.cpp:228] Iteration 65940, loss = 0.0180444
I0101 22:38:33.077970 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0130792 (* 1 = 0.0130792 loss)
I0101 22:38:33.077991 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00736427 (* 1 = 0.00736427 loss)
I0101 22:38:33.077998 25819 sgd_solver.cpp:106] Iteration 65940, lr = 1e-06
I0101 22:39:02.160670 25819 solver.cpp:228] Iteration 65960, loss = 0.142474
I0101 22:39:02.160701 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0453223 (* 1 = 0.0453223 loss)
I0101 22:39:02.160707 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0534384 (* 1 = 0.0534384 loss)
I0101 22:39:02.160714 25819 sgd_solver.cpp:106] Iteration 65960, lr = 1e-06
I0101 22:39:34.020179 25819 solver.cpp:228] Iteration 65980, loss = 0.340658
I0101 22:39:34.020211 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.245541 (* 1 = 0.245541 loss)
I0101 22:39:34.020218 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.261503 (* 1 = 0.261503 loss)
I0101 22:39:34.020226 25819 sgd_solver.cpp:106] Iteration 65980, lr = 1e-06
speed: 1.513s / iter
I0101 22:40:01.927809 25819 solver.cpp:228] Iteration 66000, loss = 0.050886
I0101 22:40:01.927839 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0402434 (* 1 = 0.0402434 loss)
I0101 22:40:01.927845 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.022496 (* 1 = 0.022496 loss)
I0101 22:40:01.927853 25819 sgd_solver.cpp:106] Iteration 66000, lr = 1e-06
I0101 22:40:36.761631 25819 solver.cpp:228] Iteration 66020, loss = 0.284349
I0101 22:40:36.761663 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0493237 (* 1 = 0.0493237 loss)
I0101 22:40:36.761670 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.111097 (* 1 = 0.111097 loss)
I0101 22:40:36.761677 25819 sgd_solver.cpp:106] Iteration 66020, lr = 1e-06
I0101 22:41:08.385823 25819 solver.cpp:228] Iteration 66040, loss = 0.0586732
I0101 22:41:08.385854 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0106295 (* 1 = 0.0106295 loss)
I0101 22:41:08.385861 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0439572 (* 1 = 0.0439572 loss)
I0101 22:41:08.385869 25819 sgd_solver.cpp:106] Iteration 66040, lr = 1e-06
I0101 22:41:38.293498 25819 solver.cpp:228] Iteration 66060, loss = 0.0886865
I0101 22:41:38.293529 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0303632 (* 1 = 0.0303632 loss)
I0101 22:41:38.293536 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0511484 (* 1 = 0.0511484 loss)
I0101 22:41:38.293543 25819 sgd_solver.cpp:106] Iteration 66060, lr = 1e-06
I0101 22:42:06.992414 25819 solver.cpp:228] Iteration 66080, loss = 6.51833
I0101 22:42:06.992445 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.841446 (* 1 = 0.841446 loss)
I0101 22:42:06.992453 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 12.1408 (* 1 = 12.1408 loss)
I0101 22:42:06.992461 25819 sgd_solver.cpp:106] Iteration 66080, lr = 1e-06
I0101 22:42:35.990391 25819 solver.cpp:228] Iteration 66100, loss = 0.0231831
I0101 22:42:35.990429 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0182785 (* 1 = 0.0182785 loss)
I0101 22:42:35.990438 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00250298 (* 1 = 0.00250298 loss)
I0101 22:42:35.990445 25819 sgd_solver.cpp:106] Iteration 66100, lr = 1e-06
I0101 22:43:07.368986 25819 solver.cpp:228] Iteration 66120, loss = 0.431478
I0101 22:43:07.369019 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.181023 (* 1 = 0.181023 loss)
I0101 22:43:07.369030 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.259814 (* 1 = 0.259814 loss)
I0101 22:43:07.369040 25819 sgd_solver.cpp:106] Iteration 66120, lr = 1e-06
I0101 22:43:35.998100 25819 solver.cpp:228] Iteration 66140, loss = 0.134446
I0101 22:43:35.998134 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.048527 (* 1 = 0.048527 loss)
I0101 22:43:35.998157 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00570587 (* 1 = 0.00570587 loss)
I0101 22:43:35.998164 25819 sgd_solver.cpp:106] Iteration 66140, lr = 1e-06
I0101 22:44:03.881264 25819 solver.cpp:228] Iteration 66160, loss = 0.0517497
I0101 22:44:03.881295 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0174464 (* 1 = 0.0174464 loss)
I0101 22:44:03.881301 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0400983 (* 1 = 0.0400983 loss)
I0101 22:44:03.881309 25819 sgd_solver.cpp:106] Iteration 66160, lr = 1e-06
I0101 22:44:33.674603 25819 solver.cpp:228] Iteration 66180, loss = 0.12478
I0101 22:44:33.674636 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.131329 (* 1 = 0.131329 loss)
I0101 22:44:33.674644 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0103479 (* 1 = 0.0103479 loss)
I0101 22:44:33.674651 25819 sgd_solver.cpp:106] Iteration 66180, lr = 1e-06
speed: 1.513s / iter
I0101 22:45:02.059725 25819 solver.cpp:228] Iteration 66200, loss = 7.08491
I0101 22:45:02.059759 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.413784 (* 1 = 0.413784 loss)
I0101 22:45:02.059768 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 13.3617 (* 1 = 13.3617 loss)
I0101 22:45:02.059777 25819 sgd_solver.cpp:106] Iteration 66200, lr = 1e-06
I0101 22:45:30.710330 25819 solver.cpp:228] Iteration 66220, loss = 0.0811033
I0101 22:45:30.710362 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0476526 (* 1 = 0.0476526 loss)
I0101 22:45:30.710372 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0412 (* 1 = 0.0412 loss)
I0101 22:45:30.710381 25819 sgd_solver.cpp:106] Iteration 66220, lr = 1e-06
I0101 22:46:01.765633 25819 solver.cpp:228] Iteration 66240, loss = 0.0321436
I0101 22:46:01.765663 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0117548 (* 1 = 0.0117548 loss)
I0101 22:46:01.765669 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0276095 (* 1 = 0.0276095 loss)
I0101 22:46:01.765691 25819 sgd_solver.cpp:106] Iteration 66240, lr = 1e-06
I0101 22:46:33.638556 25819 solver.cpp:228] Iteration 66260, loss = 0.126875
I0101 22:46:33.638588 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.17059 (* 1 = 0.17059 loss)
I0101 22:46:33.638594 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0142263 (* 1 = 0.0142263 loss)
I0101 22:46:33.638602 25819 sgd_solver.cpp:106] Iteration 66260, lr = 1e-06
I0101 22:47:03.452759 25819 solver.cpp:228] Iteration 66280, loss = 12.3021
I0101 22:47:03.452792 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0468589 (* 1 = 0.0468589 loss)
I0101 22:47:03.452800 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.180037 (* 1 = 0.180037 loss)
I0101 22:47:03.452807 25819 sgd_solver.cpp:106] Iteration 66280, lr = 1e-06
I0101 22:47:33.376279 25819 solver.cpp:228] Iteration 66300, loss = 0.236026
I0101 22:47:33.376312 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.169592 (* 1 = 0.169592 loss)
I0101 22:47:33.376318 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.078518 (* 1 = 0.078518 loss)
I0101 22:47:33.376325 25819 sgd_solver.cpp:106] Iteration 66300, lr = 1e-06
I0101 22:48:04.643332 25819 solver.cpp:228] Iteration 66320, loss = 7.89128
I0101 22:48:04.643362 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 1.37466 (* 1 = 1.37466 loss)
I0101 22:48:04.643369 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 14.3433 (* 1 = 14.3433 loss)
I0101 22:48:04.643376 25819 sgd_solver.cpp:106] Iteration 66320, lr = 1e-06
I0101 22:48:35.788975 25819 solver.cpp:228] Iteration 66340, loss = 0.188084
I0101 22:48:35.789007 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0902497 (* 1 = 0.0902497 loss)
I0101 22:48:35.789028 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0787859 (* 1 = 0.0787859 loss)
I0101 22:48:35.789036 25819 sgd_solver.cpp:106] Iteration 66340, lr = 1e-06
I0101 22:49:05.583871 25819 solver.cpp:228] Iteration 66360, loss = 0.141115
I0101 22:49:05.583904 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0111585 (* 1 = 0.0111585 loss)
I0101 22:49:05.583925 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0238355 (* 1 = 0.0238355 loss)
I0101 22:49:05.583933 25819 sgd_solver.cpp:106] Iteration 66360, lr = 1e-06
I0101 22:49:40.659065 25819 solver.cpp:228] Iteration 66380, loss = 0.1358
I0101 22:49:40.659094 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0106528 (* 1 = 0.0106528 loss)
I0101 22:49:40.659102 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0309484 (* 1 = 0.0309484 loss)
I0101 22:49:40.659111 25819 sgd_solver.cpp:106] Iteration 66380, lr = 1e-06
speed: 1.513s / iter
I0101 22:50:09.353682 25819 solver.cpp:228] Iteration 66400, loss = 0.176871
I0101 22:50:09.353716 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0425809 (* 1 = 0.0425809 loss)
I0101 22:50:09.353724 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.142288 (* 1 = 0.142288 loss)
I0101 22:50:09.353731 25819 sgd_solver.cpp:106] Iteration 66400, lr = 1e-06
I0101 22:50:37.626329 25819 solver.cpp:228] Iteration 66420, loss = 0.290371
I0101 22:50:37.626361 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.194885 (* 1 = 0.194885 loss)
I0101 22:50:37.626368 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.297133 (* 1 = 0.297133 loss)
I0101 22:50:37.626375 25819 sgd_solver.cpp:106] Iteration 66420, lr = 1e-06
I0101 22:51:07.957574 25819 solver.cpp:228] Iteration 66440, loss = 0.149845
I0101 22:51:07.957605 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0138192 (* 1 = 0.0138192 loss)
I0101 22:51:07.957628 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.011582 (* 1 = 0.011582 loss)
I0101 22:51:07.957634 25819 sgd_solver.cpp:106] Iteration 66440, lr = 1e-06
I0101 22:51:37.114810 25819 solver.cpp:228] Iteration 66460, loss = 0.224321
I0101 22:51:37.114845 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0655435 (* 1 = 0.0655435 loss)
I0101 22:51:37.114852 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.123939 (* 1 = 0.123939 loss)
I0101 22:51:37.114861 25819 sgd_solver.cpp:106] Iteration 66460, lr = 1e-06
I0101 22:52:15.494884 25819 solver.cpp:228] Iteration 66480, loss = 0.100572
I0101 22:52:15.494915 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0363684 (* 1 = 0.0363684 loss)
I0101 22:52:15.494921 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0646464 (* 1 = 0.0646464 loss)
I0101 22:52:15.494928 25819 sgd_solver.cpp:106] Iteration 66480, lr = 1e-06
I0101 22:52:45.757684 25819 solver.cpp:228] Iteration 66500, loss = 0.174976
I0101 22:52:45.757715 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0502952 (* 1 = 0.0502952 loss)
I0101 22:52:45.757722 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0481509 (* 1 = 0.0481509 loss)
I0101 22:52:45.757730 25819 sgd_solver.cpp:106] Iteration 66500, lr = 1e-06
I0101 22:53:14.034543 25819 solver.cpp:228] Iteration 66520, loss = 0.125499
I0101 22:53:14.034581 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0696982 (* 1 = 0.0696982 loss)
I0101 22:53:14.034590 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0471281 (* 1 = 0.0471281 loss)
I0101 22:53:14.034596 25819 sgd_solver.cpp:106] Iteration 66520, lr = 1e-06
I0101 22:53:42.419792 25819 solver.cpp:228] Iteration 66540, loss = 0.196818
I0101 22:53:42.419824 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.025379 (* 1 = 0.025379 loss)
I0101 22:53:42.419831 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0838913 (* 1 = 0.0838913 loss)
I0101 22:53:42.419839 25819 sgd_solver.cpp:106] Iteration 66540, lr = 1e-06
I0101 22:54:13.420771 25819 solver.cpp:228] Iteration 66560, loss = 0.0782578
I0101 22:54:13.420802 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0130121 (* 1 = 0.0130121 loss)
I0101 22:54:13.420809 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.012982 (* 1 = 0.012982 loss)
I0101 22:54:13.420815 25819 sgd_solver.cpp:106] Iteration 66560, lr = 1e-06
I0101 22:54:43.745569 25819 solver.cpp:228] Iteration 66580, loss = 0.268497
I0101 22:54:43.745602 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.183348 (* 1 = 0.183348 loss)
I0101 22:54:43.745613 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0720854 (* 1 = 0.0720854 loss)
I0101 22:54:43.745623 25819 sgd_solver.cpp:106] Iteration 66580, lr = 1e-06
speed: 1.513s / iter
I0101 22:55:14.592875 25819 solver.cpp:228] Iteration 66600, loss = 0.132499
I0101 22:55:14.592908 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0709836 (* 1 = 0.0709836 loss)
I0101 22:55:14.592918 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0322745 (* 1 = 0.0322745 loss)
I0101 22:55:14.592941 25819 sgd_solver.cpp:106] Iteration 66600, lr = 1e-06
I0101 22:55:43.697592 25819 solver.cpp:228] Iteration 66620, loss = 0.122417
I0101 22:55:43.697628 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.024523 (* 1 = 0.024523 loss)
I0101 22:55:43.697643 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0904647 (* 1 = 0.0904647 loss)
I0101 22:55:43.697655 25819 sgd_solver.cpp:106] Iteration 66620, lr = 1e-06
I0101 22:56:13.384160 25819 solver.cpp:228] Iteration 66640, loss = 0.105831
I0101 22:56:13.384191 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0101423 (* 1 = 0.0101423 loss)
I0101 22:56:13.384200 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0777149 (* 1 = 0.0777149 loss)
I0101 22:56:13.384212 25819 sgd_solver.cpp:106] Iteration 66640, lr = 1e-06
I0101 22:56:45.725422 25819 solver.cpp:228] Iteration 66660, loss = 0.100896
I0101 22:56:45.725456 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0540798 (* 1 = 0.0540798 loss)
I0101 22:56:45.725464 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0810767 (* 1 = 0.0810767 loss)
I0101 22:56:45.725471 25819 sgd_solver.cpp:106] Iteration 66660, lr = 1e-06
I0101 22:57:13.566386 25819 solver.cpp:228] Iteration 66680, loss = 0.0775493
I0101 22:57:13.566419 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00875004 (* 1 = 0.00875004 loss)
I0101 22:57:13.566426 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.044502 (* 1 = 0.044502 loss)
I0101 22:57:13.566433 25819 sgd_solver.cpp:106] Iteration 66680, lr = 1e-06
I0101 22:57:40.942361 25819 solver.cpp:228] Iteration 66700, loss = 0.048758
I0101 22:57:40.942392 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0275376 (* 1 = 0.0275376 loss)
I0101 22:57:40.942399 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0417989 (* 1 = 0.0417989 loss)
I0101 22:57:40.942406 25819 sgd_solver.cpp:106] Iteration 66700, lr = 1e-06
I0101 22:58:10.892663 25819 solver.cpp:228] Iteration 66720, loss = 0.0765802
I0101 22:58:10.892694 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0581421 (* 1 = 0.0581421 loss)
I0101 22:58:10.892701 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0353106 (* 1 = 0.0353106 loss)
I0101 22:58:10.892724 25819 sgd_solver.cpp:106] Iteration 66720, lr = 1e-06
I0101 22:58:41.915144 25819 solver.cpp:228] Iteration 66740, loss = 0.105714
I0101 22:58:41.915175 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0656889 (* 1 = 0.0656889 loss)
I0101 22:58:41.915182 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.122466 (* 1 = 0.122466 loss)
I0101 22:58:41.915189 25819 sgd_solver.cpp:106] Iteration 66740, lr = 1e-06
I0101 22:59:11.607348 25819 solver.cpp:228] Iteration 66760, loss = 0.110135
I0101 22:59:11.607380 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.10045 (* 1 = 0.10045 loss)
I0101 22:59:11.607388 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0754922 (* 1 = 0.0754922 loss)
I0101 22:59:11.607394 25819 sgd_solver.cpp:106] Iteration 66760, lr = 1e-06
I0101 22:59:40.994467 25819 solver.cpp:228] Iteration 66780, loss = 0.103024
I0101 22:59:40.994498 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0655404 (* 1 = 0.0655404 loss)
I0101 22:59:40.994505 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0976772 (* 1 = 0.0976772 loss)
I0101 22:59:40.994511 25819 sgd_solver.cpp:106] Iteration 66780, lr = 1e-06
speed: 1.513s / iter
I0101 23:00:09.233669 25819 solver.cpp:228] Iteration 66800, loss = 0.0662902
I0101 23:00:09.233700 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0195524 (* 1 = 0.0195524 loss)
I0101 23:00:09.233707 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0173105 (* 1 = 0.0173105 loss)
I0101 23:00:09.233714 25819 sgd_solver.cpp:106] Iteration 66800, lr = 1e-06
I0101 23:00:38.136482 25819 solver.cpp:228] Iteration 66820, loss = 10.0044
I0101 23:00:38.136514 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00873295 (* 1 = 0.00873295 loss)
I0101 23:00:38.136521 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0584787 (* 1 = 0.0584787 loss)
I0101 23:00:38.136529 25819 sgd_solver.cpp:106] Iteration 66820, lr = 1e-06
I0101 23:01:12.879799 25819 solver.cpp:228] Iteration 66840, loss = 0.0717194
I0101 23:01:12.879837 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0256791 (* 1 = 0.0256791 loss)
I0101 23:01:12.879844 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0209871 (* 1 = 0.0209871 loss)
I0101 23:01:12.879851 25819 sgd_solver.cpp:106] Iteration 66840, lr = 1e-06
I0101 23:01:42.905633 25819 solver.cpp:228] Iteration 66860, loss = 0.081406
I0101 23:01:42.905663 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0769324 (* 1 = 0.0769324 loss)
I0101 23:01:42.905684 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0185404 (* 1 = 0.0185404 loss)
I0101 23:01:42.905694 25819 sgd_solver.cpp:106] Iteration 66860, lr = 1e-06
I0101 23:02:12.438213 25819 solver.cpp:228] Iteration 66880, loss = 0.265925
I0101 23:02:12.438242 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.18353 (* 1 = 0.18353 loss)
I0101 23:02:12.438249 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.292422 (* 1 = 0.292422 loss)
I0101 23:02:12.438256 25819 sgd_solver.cpp:106] Iteration 66880, lr = 1e-06
I0101 23:02:42.448204 25819 solver.cpp:228] Iteration 66900, loss = 0.206525
I0101 23:02:42.448233 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0988287 (* 1 = 0.0988287 loss)
I0101 23:02:42.448240 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.186011 (* 1 = 0.186011 loss)
I0101 23:02:42.448247 25819 sgd_solver.cpp:106] Iteration 66900, lr = 1e-06
I0101 23:03:10.315479 25819 solver.cpp:228] Iteration 66920, loss = 0.140789
I0101 23:03:10.315510 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0716008 (* 1 = 0.0716008 loss)
I0101 23:03:10.315516 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0478988 (* 1 = 0.0478988 loss)
I0101 23:03:10.315523 25819 sgd_solver.cpp:106] Iteration 66920, lr = 1e-06
I0101 23:03:39.177868 25819 solver.cpp:228] Iteration 66940, loss = 0.107499
I0101 23:03:39.177902 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0724116 (* 1 = 0.0724116 loss)
I0101 23:03:39.177908 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0570258 (* 1 = 0.0570258 loss)
I0101 23:03:39.177915 25819 sgd_solver.cpp:106] Iteration 66940, lr = 1e-06
I0101 23:04:10.100203 25819 solver.cpp:228] Iteration 66960, loss = 0.0714905
I0101 23:04:10.100235 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0262859 (* 1 = 0.0262859 loss)
I0101 23:04:10.100242 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00892143 (* 1 = 0.00892143 loss)
I0101 23:04:10.100250 25819 sgd_solver.cpp:106] Iteration 66960, lr = 1e-06
I0101 23:04:40.053378 25819 solver.cpp:228] Iteration 66980, loss = 7.3055
I0101 23:04:40.053411 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.183973 (* 1 = 0.183973 loss)
I0101 23:04:40.053417 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.130796 (* 1 = 0.130796 loss)
I0101 23:04:40.053424 25819 sgd_solver.cpp:106] Iteration 66980, lr = 1e-06
speed: 1.513s / iter
I0101 23:05:12.167954 25819 solver.cpp:228] Iteration 67000, loss = 0.131702
I0101 23:05:12.167984 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.027842 (* 1 = 0.027842 loss)
I0101 23:05:12.168006 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0324474 (* 1 = 0.0324474 loss)
I0101 23:05:12.168013 25819 sgd_solver.cpp:106] Iteration 67000, lr = 1e-06
I0101 23:05:41.945672 25819 solver.cpp:228] Iteration 67020, loss = 0.122043
I0101 23:05:41.945703 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0951157 (* 1 = 0.0951157 loss)
I0101 23:05:41.945710 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0902526 (* 1 = 0.0902526 loss)
I0101 23:05:41.945717 25819 sgd_solver.cpp:106] Iteration 67020, lr = 1e-06
I0101 23:06:11.804201 25819 solver.cpp:228] Iteration 67040, loss = 0.0474786
I0101 23:06:11.804234 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0178613 (* 1 = 0.0178613 loss)
I0101 23:06:11.804241 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0522336 (* 1 = 0.0522336 loss)
I0101 23:06:11.804248 25819 sgd_solver.cpp:106] Iteration 67040, lr = 1e-06
I0101 23:06:42.201149 25819 solver.cpp:228] Iteration 67060, loss = 0.138448
I0101 23:06:42.201181 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0330612 (* 1 = 0.0330612 loss)
I0101 23:06:42.201189 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0727068 (* 1 = 0.0727068 loss)
I0101 23:06:42.201197 25819 sgd_solver.cpp:106] Iteration 67060, lr = 1e-06
I0101 23:07:13.677284 25819 solver.cpp:228] Iteration 67080, loss = 0.121755
I0101 23:07:13.677321 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.153718 (* 1 = 0.153718 loss)
I0101 23:07:13.677336 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.051441 (* 1 = 0.051441 loss)
I0101 23:07:13.677345 25819 sgd_solver.cpp:106] Iteration 67080, lr = 1e-06
I0101 23:07:43.091229 25819 solver.cpp:228] Iteration 67100, loss = 0.0670087
I0101 23:07:43.091261 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0207453 (* 1 = 0.0207453 loss)
I0101 23:07:43.091269 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00847907 (* 1 = 0.00847907 loss)
I0101 23:07:43.091276 25819 sgd_solver.cpp:106] Iteration 67100, lr = 1e-06
I0101 23:08:15.933640 25819 solver.cpp:228] Iteration 67120, loss = 0.310079
I0101 23:08:15.933673 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0213059 (* 1 = 0.0213059 loss)
I0101 23:08:15.933679 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0434379 (* 1 = 0.0434379 loss)
I0101 23:08:15.933686 25819 sgd_solver.cpp:106] Iteration 67120, lr = 1e-06
I0101 23:08:44.474058 25819 solver.cpp:228] Iteration 67140, loss = 0.068884
I0101 23:08:44.474087 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0416888 (* 1 = 0.0416888 loss)
I0101 23:08:44.474094 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0287465 (* 1 = 0.0287465 loss)
I0101 23:08:44.474115 25819 sgd_solver.cpp:106] Iteration 67140, lr = 1e-06
I0101 23:09:13.103531 25819 solver.cpp:228] Iteration 67160, loss = 0.286426
I0101 23:09:13.103564 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.229936 (* 1 = 0.229936 loss)
I0101 23:09:13.103569 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0796981 (* 1 = 0.0796981 loss)
I0101 23:09:13.103577 25819 sgd_solver.cpp:106] Iteration 67160, lr = 1e-06
I0101 23:09:45.167198 25819 solver.cpp:228] Iteration 67180, loss = 0.13955
I0101 23:09:45.167234 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0408844 (* 1 = 0.0408844 loss)
I0101 23:09:45.167250 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0183168 (* 1 = 0.0183168 loss)
I0101 23:09:45.167259 25819 sgd_solver.cpp:106] Iteration 67180, lr = 1e-06
speed: 1.513s / iter
I0101 23:10:15.276062 25819 solver.cpp:228] Iteration 67200, loss = 0.055993
I0101 23:10:15.276093 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0281302 (* 1 = 0.0281302 loss)
I0101 23:10:15.276100 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0389108 (* 1 = 0.0389108 loss)
I0101 23:10:15.276108 25819 sgd_solver.cpp:106] Iteration 67200, lr = 1e-06
I0101 23:10:44.990980 25819 solver.cpp:228] Iteration 67220, loss = 0.225336
I0101 23:10:44.991011 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.131352 (* 1 = 0.131352 loss)
I0101 23:10:44.991017 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.116555 (* 1 = 0.116555 loss)
I0101 23:10:44.991024 25819 sgd_solver.cpp:106] Iteration 67220, lr = 1e-06
I0101 23:11:17.702476 25819 solver.cpp:228] Iteration 67240, loss = 0.112851
I0101 23:11:17.702508 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0489454 (* 1 = 0.0489454 loss)
I0101 23:11:17.702515 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0833788 (* 1 = 0.0833788 loss)
I0101 23:11:17.702522 25819 sgd_solver.cpp:106] Iteration 67240, lr = 1e-06
I0101 23:11:45.581393 25819 solver.cpp:228] Iteration 67260, loss = 0.0924681
I0101 23:11:45.581425 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0154501 (* 1 = 0.0154501 loss)
I0101 23:11:45.581432 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0576271 (* 1 = 0.0576271 loss)
I0101 23:11:45.581440 25819 sgd_solver.cpp:106] Iteration 67260, lr = 1e-06
I0101 23:12:15.081506 25819 solver.cpp:228] Iteration 67280, loss = 7.98835
I0101 23:12:15.081535 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0384592 (* 1 = 0.0384592 loss)
I0101 23:12:15.081557 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0309934 (* 1 = 0.0309934 loss)
I0101 23:12:15.081564 25819 sgd_solver.cpp:106] Iteration 67280, lr = 1e-06
I0101 23:12:44.839010 25819 solver.cpp:228] Iteration 67300, loss = 0.150629
I0101 23:12:44.839040 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.10746 (* 1 = 0.10746 loss)
I0101 23:12:44.839047 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0985617 (* 1 = 0.0985617 loss)
I0101 23:12:44.839054 25819 sgd_solver.cpp:106] Iteration 67300, lr = 1e-06
I0101 23:13:13.637547 25819 solver.cpp:228] Iteration 67320, loss = 9.99523
I0101 23:13:13.637578 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0219371 (* 1 = 0.0219371 loss)
I0101 23:13:13.637584 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0361703 (* 1 = 0.0361703 loss)
I0101 23:13:13.637591 25819 sgd_solver.cpp:106] Iteration 67320, lr = 1e-06
I0101 23:13:43.207703 25819 solver.cpp:228] Iteration 67340, loss = 0.0372306
I0101 23:13:43.207734 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0195792 (* 1 = 0.0195792 loss)
I0101 23:13:43.207741 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0152428 (* 1 = 0.0152428 loss)
I0101 23:13:43.207747 25819 sgd_solver.cpp:106] Iteration 67340, lr = 1e-06
I0101 23:14:12.904847 25819 solver.cpp:228] Iteration 67360, loss = 0.0685401
I0101 23:14:12.904878 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0146467 (* 1 = 0.0146467 loss)
I0101 23:14:12.904886 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0628506 (* 1 = 0.0628506 loss)
I0101 23:14:12.904892 25819 sgd_solver.cpp:106] Iteration 67360, lr = 1e-06
I0101 23:14:43.915529 25819 solver.cpp:228] Iteration 67380, loss = 0.0949123
I0101 23:14:43.915560 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0312231 (* 1 = 0.0312231 loss)
I0101 23:14:43.915566 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0281092 (* 1 = 0.0281092 loss)
I0101 23:14:43.915573 25819 sgd_solver.cpp:106] Iteration 67380, lr = 1e-06
speed: 1.513s / iter
I0101 23:15:12.331756 25819 solver.cpp:228] Iteration 67400, loss = 0.30831
I0101 23:15:12.331787 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.181812 (* 1 = 0.181812 loss)
I0101 23:15:12.331794 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.147818 (* 1 = 0.147818 loss)
I0101 23:15:12.331800 25819 sgd_solver.cpp:106] Iteration 67400, lr = 1e-06
I0101 23:15:44.070340 25819 solver.cpp:228] Iteration 67420, loss = 0.102577
I0101 23:15:44.070371 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0251911 (* 1 = 0.0251911 loss)
I0101 23:15:44.070379 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0326717 (* 1 = 0.0326717 loss)
I0101 23:15:44.070400 25819 sgd_solver.cpp:106] Iteration 67420, lr = 1e-06
I0101 23:16:12.206460 25819 solver.cpp:228] Iteration 67440, loss = 8.43536
I0101 23:16:12.206492 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0656203 (* 1 = 0.0656203 loss)
I0101 23:16:12.206501 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0468268 (* 1 = 0.0468268 loss)
I0101 23:16:12.206508 25819 sgd_solver.cpp:106] Iteration 67440, lr = 1e-06
I0101 23:16:46.454813 25819 solver.cpp:228] Iteration 67460, loss = 0.223598
I0101 23:16:46.454844 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.203205 (* 1 = 0.203205 loss)
I0101 23:16:46.454851 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.208395 (* 1 = 0.208395 loss)
I0101 23:16:46.454859 25819 sgd_solver.cpp:106] Iteration 67460, lr = 1e-06
I0101 23:17:19.649853 25819 solver.cpp:228] Iteration 67480, loss = 0.0865755
I0101 23:17:19.649883 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0203744 (* 1 = 0.0203744 loss)
I0101 23:17:19.649891 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0980509 (* 1 = 0.0980509 loss)
I0101 23:17:19.649899 25819 sgd_solver.cpp:106] Iteration 67480, lr = 1e-06
I0101 23:17:51.089329 25819 solver.cpp:228] Iteration 67500, loss = 0.0842434
I0101 23:17:51.089360 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0459699 (* 1 = 0.0459699 loss)
I0101 23:17:51.089366 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0402677 (* 1 = 0.0402677 loss)
I0101 23:17:51.089373 25819 sgd_solver.cpp:106] Iteration 67500, lr = 1e-06
I0101 23:18:20.569151 25819 solver.cpp:228] Iteration 67520, loss = 0.259593
I0101 23:18:20.569183 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.342883 (* 1 = 0.342883 loss)
I0101 23:18:20.569190 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0209669 (* 1 = 0.0209669 loss)
I0101 23:18:20.569197 25819 sgd_solver.cpp:106] Iteration 67520, lr = 1e-06
I0101 23:18:48.749720 25819 solver.cpp:228] Iteration 67540, loss = 0.062465
I0101 23:18:48.749752 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0445541 (* 1 = 0.0445541 loss)
I0101 23:18:48.749759 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0218082 (* 1 = 0.0218082 loss)
I0101 23:18:48.749780 25819 sgd_solver.cpp:106] Iteration 67540, lr = 1e-06
I0101 23:19:18.224798 25819 solver.cpp:228] Iteration 67560, loss = 0.0929953
I0101 23:19:18.224833 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0178852 (* 1 = 0.0178852 loss)
I0101 23:19:18.224843 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.117429 (* 1 = 0.117429 loss)
I0101 23:19:18.224853 25819 sgd_solver.cpp:106] Iteration 67560, lr = 1e-06
I0101 23:19:46.399896 25819 solver.cpp:228] Iteration 67580, loss = 0.169584
I0101 23:19:46.399927 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0751642 (* 1 = 0.0751642 loss)
I0101 23:19:46.399950 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00776708 (* 1 = 0.00776708 loss)
I0101 23:19:46.399956 25819 sgd_solver.cpp:106] Iteration 67580, lr = 1e-06
speed: 1.513s / iter
I0101 23:20:14.500530 25819 solver.cpp:228] Iteration 67600, loss = 0.0236097
I0101 23:20:14.500563 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00429969 (* 1 = 0.00429969 loss)
I0101 23:20:14.500571 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0181974 (* 1 = 0.0181974 loss)
I0101 23:20:14.500577 25819 sgd_solver.cpp:106] Iteration 67600, lr = 1e-06
I0101 23:20:43.694723 25819 solver.cpp:228] Iteration 67620, loss = 0.0630992
I0101 23:20:43.694756 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0645529 (* 1 = 0.0645529 loss)
I0101 23:20:43.694763 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0344233 (* 1 = 0.0344233 loss)
I0101 23:20:43.694772 25819 sgd_solver.cpp:106] Iteration 67620, lr = 1e-06
I0101 23:21:12.002763 25819 solver.cpp:228] Iteration 67640, loss = 0.129393
I0101 23:21:12.002795 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0743565 (* 1 = 0.0743565 loss)
I0101 23:21:12.002801 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.128457 (* 1 = 0.128457 loss)
I0101 23:21:12.002808 25819 sgd_solver.cpp:106] Iteration 67640, lr = 1e-06
I0101 23:21:40.538585 25819 solver.cpp:228] Iteration 67660, loss = 0.175356
I0101 23:21:40.538615 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0394684 (* 1 = 0.0394684 loss)
I0101 23:21:40.538622 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0477633 (* 1 = 0.0477633 loss)
I0101 23:21:40.538628 25819 sgd_solver.cpp:106] Iteration 67660, lr = 1e-06
I0101 23:22:10.149916 25819 solver.cpp:228] Iteration 67680, loss = 0.147832
I0101 23:22:10.149950 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0398966 (* 1 = 0.0398966 loss)
I0101 23:22:10.149957 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0781197 (* 1 = 0.0781197 loss)
I0101 23:22:10.149964 25819 sgd_solver.cpp:106] Iteration 67680, lr = 1e-06
I0101 23:22:40.682332 25819 solver.cpp:228] Iteration 67700, loss = 0.0741552
I0101 23:22:40.682363 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0260494 (* 1 = 0.0260494 loss)
I0101 23:22:40.682369 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0320777 (* 1 = 0.0320777 loss)
I0101 23:22:40.682376 25819 sgd_solver.cpp:106] Iteration 67700, lr = 1e-06
I0101 23:23:08.296072 25819 solver.cpp:228] Iteration 67720, loss = 0.165419
I0101 23:23:08.296105 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0597978 (* 1 = 0.0597978 loss)
I0101 23:23:08.296113 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.111714 (* 1 = 0.111714 loss)
I0101 23:23:08.296121 25819 sgd_solver.cpp:106] Iteration 67720, lr = 1e-06
I0101 23:23:44.950533 25819 solver.cpp:228] Iteration 67740, loss = 0.162662
I0101 23:23:44.950567 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0890633 (* 1 = 0.0890633 loss)
I0101 23:23:44.950573 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.191091 (* 1 = 0.191091 loss)
I0101 23:23:44.950580 25819 sgd_solver.cpp:106] Iteration 67740, lr = 1e-06
I0101 23:24:15.943676 25819 solver.cpp:228] Iteration 67760, loss = 0.0677361
I0101 23:24:15.943709 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0267875 (* 1 = 0.0267875 loss)
I0101 23:24:15.943717 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0781539 (* 1 = 0.0781539 loss)
I0101 23:24:15.943723 25819 sgd_solver.cpp:106] Iteration 67760, lr = 1e-06
I0101 23:24:50.752373 25819 solver.cpp:228] Iteration 67780, loss = 0.0454846
I0101 23:24:50.752404 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0321016 (* 1 = 0.0321016 loss)
I0101 23:24:50.752425 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0434289 (* 1 = 0.0434289 loss)
I0101 23:24:50.752434 25819 sgd_solver.cpp:106] Iteration 67780, lr = 1e-06
speed: 1.513s / iter
I0101 23:25:20.623137 25819 solver.cpp:228] Iteration 67800, loss = 0.121179
I0101 23:25:20.623167 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0206482 (* 1 = 0.0206482 loss)
I0101 23:25:20.623174 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0201594 (* 1 = 0.0201594 loss)
I0101 23:25:20.623180 25819 sgd_solver.cpp:106] Iteration 67800, lr = 1e-06
I0101 23:25:49.414009 25819 solver.cpp:228] Iteration 67820, loss = 0.0364789
I0101 23:25:49.414041 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00831525 (* 1 = 0.00831525 loss)
I0101 23:25:49.414049 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.012452 (* 1 = 0.012452 loss)
I0101 23:25:49.414055 25819 sgd_solver.cpp:106] Iteration 67820, lr = 1e-06
I0101 23:26:20.000087 25819 solver.cpp:228] Iteration 67840, loss = 0.152256
I0101 23:26:20.000118 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0720067 (* 1 = 0.0720067 loss)
I0101 23:26:20.000125 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0790785 (* 1 = 0.0790785 loss)
I0101 23:26:20.000133 25819 sgd_solver.cpp:106] Iteration 67840, lr = 1e-06
I0101 23:26:51.797550 25819 solver.cpp:228] Iteration 67860, loss = 0.0751378
I0101 23:26:51.797582 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00901894 (* 1 = 0.00901894 loss)
I0101 23:26:51.797590 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0814664 (* 1 = 0.0814664 loss)
I0101 23:26:51.797595 25819 sgd_solver.cpp:106] Iteration 67860, lr = 1e-06
I0101 23:27:25.054590 25819 solver.cpp:228] Iteration 67880, loss = 0.172826
I0101 23:27:25.054630 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0287517 (* 1 = 0.0287517 loss)
I0101 23:27:25.054636 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.127668 (* 1 = 0.127668 loss)
I0101 23:27:25.054644 25819 sgd_solver.cpp:106] Iteration 67880, lr = 1e-06
I0101 23:27:54.832988 25819 solver.cpp:228] Iteration 67900, loss = 0.319511
I0101 23:27:54.833019 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0750569 (* 1 = 0.0750569 loss)
I0101 23:27:54.833024 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0863021 (* 1 = 0.0863021 loss)
I0101 23:27:54.833031 25819 sgd_solver.cpp:106] Iteration 67900, lr = 1e-06
I0101 23:28:26.364200 25819 solver.cpp:228] Iteration 67920, loss = 0.135304
I0101 23:28:26.364233 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.044334 (* 1 = 0.044334 loss)
I0101 23:28:26.364256 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0691852 (* 1 = 0.0691852 loss)
I0101 23:28:26.364280 25819 sgd_solver.cpp:106] Iteration 67920, lr = 1e-06
I0101 23:28:56.809978 25819 solver.cpp:228] Iteration 67940, loss = 0.337146
I0101 23:28:56.810010 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0630691 (* 1 = 0.0630691 loss)
I0101 23:28:56.810016 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0418781 (* 1 = 0.0418781 loss)
I0101 23:28:56.810039 25819 sgd_solver.cpp:106] Iteration 67940, lr = 1e-06
I0101 23:29:26.097517 25819 solver.cpp:228] Iteration 67960, loss = 0.111881
I0101 23:29:26.097545 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00356033 (* 1 = 0.00356033 loss)
I0101 23:29:26.097566 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00585568 (* 1 = 0.00585568 loss)
I0101 23:29:26.097573 25819 sgd_solver.cpp:106] Iteration 67960, lr = 1e-06
I0101 23:29:56.137739 25819 solver.cpp:228] Iteration 67980, loss = 0.062098
I0101 23:29:56.137773 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0435491 (* 1 = 0.0435491 loss)
I0101 23:29:56.137779 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0266281 (* 1 = 0.0266281 loss)
I0101 23:29:56.137786 25819 sgd_solver.cpp:106] Iteration 67980, lr = 1e-06
speed: 1.513s / iter
I0101 23:30:27.154979 25819 solver.cpp:228] Iteration 68000, loss = 0.0838757
I0101 23:30:27.155010 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0247333 (* 1 = 0.0247333 loss)
I0101 23:30:27.155017 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0666463 (* 1 = 0.0666463 loss)
I0101 23:30:27.155025 25819 sgd_solver.cpp:106] Iteration 68000, lr = 1e-06
I0101 23:30:55.641397 25819 solver.cpp:228] Iteration 68020, loss = 8.56394
I0101 23:30:55.641427 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0598897 (* 1 = 0.0598897 loss)
I0101 23:30:55.641433 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0517999 (* 1 = 0.0517999 loss)
I0101 23:30:55.641441 25819 sgd_solver.cpp:106] Iteration 68020, lr = 1e-06
I0101 23:31:25.191252 25819 solver.cpp:228] Iteration 68040, loss = 0.158472
I0101 23:31:25.191283 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0945106 (* 1 = 0.0945106 loss)
I0101 23:31:25.191304 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.129723 (* 1 = 0.129723 loss)
I0101 23:31:25.191311 25819 sgd_solver.cpp:106] Iteration 68040, lr = 1e-06
I0101 23:31:54.465873 25819 solver.cpp:228] Iteration 68060, loss = 0.20026
I0101 23:31:54.465903 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0432609 (* 1 = 0.0432609 loss)
I0101 23:31:54.465912 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0966526 (* 1 = 0.0966526 loss)
I0101 23:31:54.465920 25819 sgd_solver.cpp:106] Iteration 68060, lr = 1e-06
I0101 23:32:24.366823 25819 solver.cpp:228] Iteration 68080, loss = 0.0630735
I0101 23:32:24.366855 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.015456 (* 1 = 0.015456 loss)
I0101 23:32:24.366861 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0237864 (* 1 = 0.0237864 loss)
I0101 23:32:24.366868 25819 sgd_solver.cpp:106] Iteration 68080, lr = 1e-06
I0101 23:32:55.625425 25819 solver.cpp:228] Iteration 68100, loss = 6.33098
I0101 23:32:55.625456 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.168309 (* 1 = 0.168309 loss)
I0101 23:32:55.625464 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.135347 (* 1 = 0.135347 loss)
I0101 23:32:55.625473 25819 sgd_solver.cpp:106] Iteration 68100, lr = 1e-06
I0101 23:33:31.555353 25819 solver.cpp:228] Iteration 68120, loss = 0.12393
I0101 23:33:31.555387 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0747619 (* 1 = 0.0747619 loss)
I0101 23:33:31.555392 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0904036 (* 1 = 0.0904036 loss)
I0101 23:33:31.555400 25819 sgd_solver.cpp:106] Iteration 68120, lr = 1e-06
I0101 23:33:59.411072 25819 solver.cpp:228] Iteration 68140, loss = 0.11698
I0101 23:33:59.411103 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0456051 (* 1 = 0.0456051 loss)
I0101 23:33:59.411123 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0662555 (* 1 = 0.0662555 loss)
I0101 23:33:59.411130 25819 sgd_solver.cpp:106] Iteration 68140, lr = 1e-06
I0101 23:34:28.552008 25819 solver.cpp:228] Iteration 68160, loss = 0.0993926
I0101 23:34:28.552049 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0734029 (* 1 = 0.0734029 loss)
I0101 23:34:28.552060 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0436937 (* 1 = 0.0436937 loss)
I0101 23:34:28.552067 25819 sgd_solver.cpp:106] Iteration 68160, lr = 1e-06
I0101 23:34:58.174018 25819 solver.cpp:228] Iteration 68180, loss = 0.170557
I0101 23:34:58.174052 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0844048 (* 1 = 0.0844048 loss)
I0101 23:34:58.174058 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.044173 (* 1 = 0.044173 loss)
I0101 23:34:58.174065 25819 sgd_solver.cpp:106] Iteration 68180, lr = 1e-06
speed: 1.513s / iter
I0101 23:35:27.621592 25819 solver.cpp:228] Iteration 68200, loss = 7.45127
I0101 23:35:27.621624 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.547048 (* 1 = 0.547048 loss)
I0101 23:35:27.621632 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 14.2924 (* 1 = 14.2924 loss)
I0101 23:35:27.621640 25819 sgd_solver.cpp:106] Iteration 68200, lr = 1e-06
I0101 23:35:56.698027 25819 solver.cpp:228] Iteration 68220, loss = 0.103337
I0101 23:35:56.698058 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.118292 (* 1 = 0.118292 loss)
I0101 23:35:56.698079 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0283166 (* 1 = 0.0283166 loss)
I0101 23:35:56.698101 25819 sgd_solver.cpp:106] Iteration 68220, lr = 1e-06
I0101 23:36:27.498975 25819 solver.cpp:228] Iteration 68240, loss = 0.161279
I0101 23:36:27.499006 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0123445 (* 1 = 0.0123445 loss)
I0101 23:36:27.499012 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0600164 (* 1 = 0.0600164 loss)
I0101 23:36:27.499019 25819 sgd_solver.cpp:106] Iteration 68240, lr = 1e-06
I0101 23:36:55.089730 25819 solver.cpp:228] Iteration 68260, loss = 0.112226
I0101 23:36:55.089759 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0261614 (* 1 = 0.0261614 loss)
I0101 23:36:55.089766 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0232123 (* 1 = 0.0232123 loss)
I0101 23:36:55.089773 25819 sgd_solver.cpp:106] Iteration 68260, lr = 1e-06
I0101 23:37:25.265260 25819 solver.cpp:228] Iteration 68280, loss = 0.139875
I0101 23:37:25.265291 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0171634 (* 1 = 0.0171634 loss)
I0101 23:37:25.265298 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0458931 (* 1 = 0.0458931 loss)
I0101 23:37:25.265305 25819 sgd_solver.cpp:106] Iteration 68280, lr = 1e-06
I0101 23:37:54.176080 25819 solver.cpp:228] Iteration 68300, loss = 0.162342
I0101 23:37:54.176112 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.12181 (* 1 = 0.12181 loss)
I0101 23:37:54.176120 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.148104 (* 1 = 0.148104 loss)
I0101 23:37:54.176127 25819 sgd_solver.cpp:106] Iteration 68300, lr = 1e-06
I0101 23:38:22.808043 25819 solver.cpp:228] Iteration 68320, loss = 0.0968858
I0101 23:38:22.808075 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0481022 (* 1 = 0.0481022 loss)
I0101 23:38:22.808082 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0749291 (* 1 = 0.0749291 loss)
I0101 23:38:22.808089 25819 sgd_solver.cpp:106] Iteration 68320, lr = 1e-06
I0101 23:38:55.143610 25819 solver.cpp:228] Iteration 68340, loss = 0.0955258
I0101 23:38:55.143641 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00767164 (* 1 = 0.00767164 loss)
I0101 23:38:55.143649 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0404635 (* 1 = 0.0404635 loss)
I0101 23:38:55.143656 25819 sgd_solver.cpp:106] Iteration 68340, lr = 1e-06
I0101 23:39:32.077109 25819 solver.cpp:228] Iteration 68360, loss = 0.0998977
I0101 23:39:32.077142 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0431796 (* 1 = 0.0431796 loss)
I0101 23:39:32.077148 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0830242 (* 1 = 0.0830242 loss)
I0101 23:39:32.077157 25819 sgd_solver.cpp:106] Iteration 68360, lr = 1e-06
I0101 23:40:01.997778 25819 solver.cpp:228] Iteration 68380, loss = 6.23758
I0101 23:40:01.997810 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.719855 (* 1 = 0.719855 loss)
I0101 23:40:01.997817 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 11.7139 (* 1 = 11.7139 loss)
I0101 23:40:01.997824 25819 sgd_solver.cpp:106] Iteration 68380, lr = 1e-06
speed: 1.513s / iter
I0101 23:40:32.108119 25819 solver.cpp:228] Iteration 68400, loss = 0.216108
I0101 23:40:32.108150 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0535546 (* 1 = 0.0535546 loss)
I0101 23:40:32.108157 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0365532 (* 1 = 0.0365532 loss)
I0101 23:40:32.108180 25819 sgd_solver.cpp:106] Iteration 68400, lr = 1e-06
I0101 23:41:00.757774 25819 solver.cpp:228] Iteration 68420, loss = 0.144557
I0101 23:41:00.757805 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0893077 (* 1 = 0.0893077 loss)
I0101 23:41:00.757812 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0559564 (* 1 = 0.0559564 loss)
I0101 23:41:00.757818 25819 sgd_solver.cpp:106] Iteration 68420, lr = 1e-06
I0101 23:41:30.429425 25819 solver.cpp:228] Iteration 68440, loss = 0.0479932
I0101 23:41:30.429457 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0282081 (* 1 = 0.0282081 loss)
I0101 23:41:30.429479 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0302436 (* 1 = 0.0302436 loss)
I0101 23:41:30.429488 25819 sgd_solver.cpp:106] Iteration 68440, lr = 1e-06
I0101 23:42:09.624446 25819 solver.cpp:228] Iteration 68460, loss = 0.088163
I0101 23:42:09.624478 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0316097 (* 1 = 0.0316097 loss)
I0101 23:42:09.624486 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0689664 (* 1 = 0.0689664 loss)
I0101 23:42:09.624495 25819 sgd_solver.cpp:106] Iteration 68460, lr = 1e-06
I0101 23:42:39.344702 25819 solver.cpp:228] Iteration 68480, loss = 0.216561
I0101 23:42:39.344733 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.107758 (* 1 = 0.107758 loss)
I0101 23:42:39.344754 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.189741 (* 1 = 0.189741 loss)
I0101 23:42:39.344763 25819 sgd_solver.cpp:106] Iteration 68480, lr = 1e-06
I0101 23:43:09.219947 25819 solver.cpp:228] Iteration 68500, loss = 0.147719
I0101 23:43:09.219980 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0882662 (* 1 = 0.0882662 loss)
I0101 23:43:09.219987 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0877716 (* 1 = 0.0877716 loss)
I0101 23:43:09.219995 25819 sgd_solver.cpp:106] Iteration 68500, lr = 1e-06
I0101 23:43:41.726197 25819 solver.cpp:228] Iteration 68520, loss = 0.11597
I0101 23:43:41.726228 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0329296 (* 1 = 0.0329296 loss)
I0101 23:43:41.726235 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0819458 (* 1 = 0.0819458 loss)
I0101 23:43:41.726243 25819 sgd_solver.cpp:106] Iteration 68520, lr = 1e-06
I0101 23:44:09.875068 25819 solver.cpp:228] Iteration 68540, loss = 0.1396
I0101 23:44:09.875100 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0063264 (* 1 = 0.0063264 loss)
I0101 23:44:09.875106 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0425835 (* 1 = 0.0425835 loss)
I0101 23:44:09.875113 25819 sgd_solver.cpp:106] Iteration 68540, lr = 1e-06
I0101 23:44:38.145061 25819 solver.cpp:228] Iteration 68560, loss = 0.0627444
I0101 23:44:38.145093 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00647702 (* 1 = 0.00647702 loss)
I0101 23:44:38.145100 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0485727 (* 1 = 0.0485727 loss)
I0101 23:44:38.145107 25819 sgd_solver.cpp:106] Iteration 68560, lr = 1e-06
I0101 23:45:08.213956 25819 solver.cpp:228] Iteration 68580, loss = 0.126161
I0101 23:45:08.213989 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0325994 (* 1 = 0.0325994 loss)
I0101 23:45:08.214010 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0360772 (* 1 = 0.0360772 loss)
I0101 23:45:08.214016 25819 sgd_solver.cpp:106] Iteration 68580, lr = 1e-06
speed: 1.513s / iter
I0101 23:45:36.569072 25819 solver.cpp:228] Iteration 68600, loss = 0.0824456
I0101 23:45:36.569103 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0292226 (* 1 = 0.0292226 loss)
I0101 23:45:36.569110 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0130016 (* 1 = 0.0130016 loss)
I0101 23:45:36.569118 25819 sgd_solver.cpp:106] Iteration 68600, lr = 1e-06
I0101 23:46:08.305222 25819 solver.cpp:228] Iteration 68620, loss = 0.129225
I0101 23:46:08.305254 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0630236 (* 1 = 0.0630236 loss)
I0101 23:46:08.305261 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0547585 (* 1 = 0.0547585 loss)
I0101 23:46:08.305269 25819 sgd_solver.cpp:106] Iteration 68620, lr = 1e-06
I0101 23:46:38.891165 25819 solver.cpp:228] Iteration 68640, loss = 0.0532747
I0101 23:46:38.891196 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0239313 (* 1 = 0.0239313 loss)
I0101 23:46:38.891203 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0005414 (* 1 = 0.0005414 loss)
I0101 23:46:38.891211 25819 sgd_solver.cpp:106] Iteration 68640, lr = 1e-06
I0101 23:47:09.048478 25819 solver.cpp:228] Iteration 68660, loss = 0.0679311
I0101 23:47:09.048516 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0283879 (* 1 = 0.0283879 loss)
I0101 23:47:09.048525 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0349137 (* 1 = 0.0349137 loss)
I0101 23:47:09.048535 25819 sgd_solver.cpp:106] Iteration 68660, lr = 1e-06
I0101 23:47:37.177989 25819 solver.cpp:228] Iteration 68680, loss = 0.0582072
I0101 23:47:37.178020 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0210998 (* 1 = 0.0210998 loss)
I0101 23:47:37.178042 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0219885 (* 1 = 0.0219885 loss)
I0101 23:47:37.178050 25819 sgd_solver.cpp:106] Iteration 68680, lr = 1e-06
I0101 23:48:05.126581 25819 solver.cpp:228] Iteration 68700, loss = 0.0684485
I0101 23:48:05.126616 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00917417 (* 1 = 0.00917417 loss)
I0101 23:48:05.126632 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00723833 (* 1 = 0.00723833 loss)
I0101 23:48:05.126642 25819 sgd_solver.cpp:106] Iteration 68700, lr = 1e-06
I0101 23:48:33.417359 25819 solver.cpp:228] Iteration 68720, loss = 0.107356
I0101 23:48:33.417393 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0186765 (* 1 = 0.0186765 loss)
I0101 23:48:33.417399 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0152834 (* 1 = 0.0152834 loss)
I0101 23:48:33.417407 25819 sgd_solver.cpp:106] Iteration 68720, lr = 1e-06
I0101 23:49:00.998108 25819 solver.cpp:228] Iteration 68740, loss = 0.10914
I0101 23:49:00.998140 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00812864 (* 1 = 0.00812864 loss)
I0101 23:49:00.998147 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00491214 (* 1 = 0.00491214 loss)
I0101 23:49:00.998154 25819 sgd_solver.cpp:106] Iteration 68740, lr = 1e-06
I0101 23:49:30.401384 25819 solver.cpp:228] Iteration 68760, loss = 0.127376
I0101 23:49:30.401417 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0513627 (* 1 = 0.0513627 loss)
I0101 23:49:30.401422 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0603611 (* 1 = 0.0603611 loss)
I0101 23:49:30.401429 25819 sgd_solver.cpp:106] Iteration 68760, lr = 1e-06
I0101 23:49:57.922272 25819 solver.cpp:228] Iteration 68780, loss = 0.246739
I0101 23:49:57.922305 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0790043 (* 1 = 0.0790043 loss)
I0101 23:49:57.922312 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.176209 (* 1 = 0.176209 loss)
I0101 23:49:57.922319 25819 sgd_solver.cpp:106] Iteration 68780, lr = 1e-06
speed: 1.513s / iter
I0101 23:50:27.326946 25819 solver.cpp:228] Iteration 68800, loss = 0.133124
I0101 23:50:27.326978 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.103531 (* 1 = 0.103531 loss)
I0101 23:50:27.326985 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.115278 (* 1 = 0.115278 loss)
I0101 23:50:27.326992 25819 sgd_solver.cpp:106] Iteration 68800, lr = 1e-06
I0101 23:50:57.011914 25819 solver.cpp:228] Iteration 68820, loss = 6.6162
I0101 23:50:57.011945 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0778972 (* 1 = 0.0778972 loss)
I0101 23:50:57.011952 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.131928 (* 1 = 0.131928 loss)
I0101 23:50:57.011960 25819 sgd_solver.cpp:106] Iteration 68820, lr = 1e-06
I0101 23:51:25.725350 25819 solver.cpp:228] Iteration 68840, loss = 0.0819435
I0101 23:51:25.725381 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00583215 (* 1 = 0.00583215 loss)
I0101 23:51:25.725387 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0162297 (* 1 = 0.0162297 loss)
I0101 23:51:25.725394 25819 sgd_solver.cpp:106] Iteration 68840, lr = 1e-06
I0101 23:51:53.799989 25819 solver.cpp:228] Iteration 68860, loss = 0.0611333
I0101 23:51:53.800019 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.055464 (* 1 = 0.055464 loss)
I0101 23:51:53.800026 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0329558 (* 1 = 0.0329558 loss)
I0101 23:51:53.800047 25819 sgd_solver.cpp:106] Iteration 68860, lr = 1e-06
I0101 23:52:23.717550 25819 solver.cpp:228] Iteration 68880, loss = 0.294977
I0101 23:52:23.717581 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0618363 (* 1 = 0.0618363 loss)
I0101 23:52:23.717588 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0774291 (* 1 = 0.0774291 loss)
I0101 23:52:23.717595 25819 sgd_solver.cpp:106] Iteration 68880, lr = 1e-06
I0101 23:52:57.541442 25819 solver.cpp:228] Iteration 68900, loss = 0.062014
I0101 23:52:57.541473 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0547564 (* 1 = 0.0547564 loss)
I0101 23:52:57.541494 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.052264 (* 1 = 0.052264 loss)
I0101 23:52:57.541501 25819 sgd_solver.cpp:106] Iteration 68900, lr = 1e-06
I0101 23:53:27.978466 25819 solver.cpp:228] Iteration 68920, loss = 0.0767917
I0101 23:53:27.978495 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0327406 (* 1 = 0.0327406 loss)
I0101 23:53:27.978516 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0391594 (* 1 = 0.0391594 loss)
I0101 23:53:27.978523 25819 sgd_solver.cpp:106] Iteration 68920, lr = 1e-06
I0101 23:53:55.155174 25819 solver.cpp:228] Iteration 68940, loss = 0.0500088
I0101 23:53:55.155206 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0440098 (* 1 = 0.0440098 loss)
I0101 23:53:55.155213 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00665027 (* 1 = 0.00665027 loss)
I0101 23:53:55.155234 25819 sgd_solver.cpp:106] Iteration 68940, lr = 1e-06
I0101 23:54:24.777727 25819 solver.cpp:228] Iteration 68960, loss = 0.129774
I0101 23:54:24.777760 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0354539 (* 1 = 0.0354539 loss)
I0101 23:54:24.777766 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.147687 (* 1 = 0.147687 loss)
I0101 23:54:24.777772 25819 sgd_solver.cpp:106] Iteration 68960, lr = 1e-06
I0101 23:54:58.077325 25819 solver.cpp:228] Iteration 68980, loss = 0.0870989
I0101 23:54:58.077354 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0228148 (* 1 = 0.0228148 loss)
I0101 23:54:58.077361 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0647008 (* 1 = 0.0647008 loss)
I0101 23:54:58.077368 25819 sgd_solver.cpp:106] Iteration 68980, lr = 1e-06
speed: 1.513s / iter
I0101 23:55:27.882606 25819 solver.cpp:228] Iteration 69000, loss = 0.132499
I0101 23:55:27.882640 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0399491 (* 1 = 0.0399491 loss)
I0101 23:55:27.882655 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0948274 (* 1 = 0.0948274 loss)
I0101 23:55:27.882664 25819 sgd_solver.cpp:106] Iteration 69000, lr = 1e-06
I0101 23:55:55.478543 25819 solver.cpp:228] Iteration 69020, loss = 0.0514028
I0101 23:55:55.478574 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0459007 (* 1 = 0.0459007 loss)
I0101 23:55:55.478582 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00734422 (* 1 = 0.00734422 loss)
I0101 23:55:55.478588 25819 sgd_solver.cpp:106] Iteration 69020, lr = 1e-06
I0101 23:56:24.405855 25819 solver.cpp:228] Iteration 69040, loss = 0.110623
I0101 23:56:24.405886 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0534963 (* 1 = 0.0534963 loss)
I0101 23:56:24.405895 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.101991 (* 1 = 0.101991 loss)
I0101 23:56:24.405910 25819 sgd_solver.cpp:106] Iteration 69040, lr = 1e-06
I0101 23:56:53.633190 25819 solver.cpp:228] Iteration 69060, loss = 0.181243
I0101 23:56:53.633225 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.10524 (* 1 = 0.10524 loss)
I0101 23:56:53.633235 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.161732 (* 1 = 0.161732 loss)
I0101 23:56:53.633244 25819 sgd_solver.cpp:106] Iteration 69060, lr = 1e-06
I0101 23:57:22.762215 25819 solver.cpp:228] Iteration 69080, loss = 0.133045
I0101 23:57:22.762248 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0516459 (* 1 = 0.0516459 loss)
I0101 23:57:22.762259 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0820201 (* 1 = 0.0820201 loss)
I0101 23:57:22.762267 25819 sgd_solver.cpp:106] Iteration 69080, lr = 1e-06
I0101 23:57:50.418753 25819 solver.cpp:228] Iteration 69100, loss = 0.0986814
I0101 23:57:50.418785 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0639612 (* 1 = 0.0639612 loss)
I0101 23:57:50.418792 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.124135 (* 1 = 0.124135 loss)
I0101 23:57:50.418799 25819 sgd_solver.cpp:106] Iteration 69100, lr = 1e-06
I0101 23:58:17.930188 25819 solver.cpp:228] Iteration 69120, loss = 0.234587
I0101 23:58:17.930222 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.242951 (* 1 = 0.242951 loss)
I0101 23:58:17.930228 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0775062 (* 1 = 0.0775062 loss)
I0101 23:58:17.930235 25819 sgd_solver.cpp:106] Iteration 69120, lr = 1e-06
I0101 23:58:49.391624 25819 solver.cpp:228] Iteration 69140, loss = 7.15192
I0101 23:58:49.391657 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.551305 (* 1 = 0.551305 loss)
I0101 23:58:49.391664 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 13.4873 (* 1 = 13.4873 loss)
I0101 23:58:49.391671 25819 sgd_solver.cpp:106] Iteration 69140, lr = 1e-06
I0101 23:59:18.947244 25819 solver.cpp:228] Iteration 69160, loss = 0.0760975
I0101 23:59:18.947278 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0266307 (* 1 = 0.0266307 loss)
I0101 23:59:18.947285 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0759215 (* 1 = 0.0759215 loss)
I0101 23:59:18.947293 25819 sgd_solver.cpp:106] Iteration 69160, lr = 1e-06
I0101 23:59:50.215082 25819 solver.cpp:228] Iteration 69180, loss = 0.150037
I0101 23:59:50.215114 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0649905 (* 1 = 0.0649905 loss)
I0101 23:59:50.215121 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.102591 (* 1 = 0.102591 loss)
I0101 23:59:50.215127 25819 sgd_solver.cpp:106] Iteration 69180, lr = 1e-06
speed: 1.513s / iter
I0102 00:00:20.787565 25819 solver.cpp:228] Iteration 69200, loss = 0.151866
I0102 00:00:20.787597 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.126119 (* 1 = 0.126119 loss)
I0102 00:00:20.787604 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.135017 (* 1 = 0.135017 loss)
I0102 00:00:20.787611 25819 sgd_solver.cpp:106] Iteration 69200, lr = 1e-06
I0102 00:00:48.583585 25819 solver.cpp:228] Iteration 69220, loss = 0.0854696
I0102 00:00:48.583617 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0592814 (* 1 = 0.0592814 loss)
I0102 00:00:48.583623 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0239778 (* 1 = 0.0239778 loss)
I0102 00:00:48.583631 25819 sgd_solver.cpp:106] Iteration 69220, lr = 1e-06
I0102 00:01:20.149618 25819 solver.cpp:228] Iteration 69240, loss = 0.302422
I0102 00:01:20.149650 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.235158 (* 1 = 0.235158 loss)
I0102 00:01:20.149657 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0737854 (* 1 = 0.0737854 loss)
I0102 00:01:20.149665 25819 sgd_solver.cpp:106] Iteration 69240, lr = 1e-06
I0102 00:01:49.538823 25819 solver.cpp:228] Iteration 69260, loss = 0.02608
I0102 00:01:49.538856 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00525928 (* 1 = 0.00525928 loss)
I0102 00:01:49.538862 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0266333 (* 1 = 0.0266333 loss)
I0102 00:01:49.538869 25819 sgd_solver.cpp:106] Iteration 69260, lr = 1e-06
I0102 00:02:19.295186 25819 solver.cpp:228] Iteration 69280, loss = 0.024997
I0102 00:02:19.295215 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00435538 (* 1 = 0.00435538 loss)
I0102 00:02:19.295236 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00800016 (* 1 = 0.00800016 loss)
I0102 00:02:19.295243 25819 sgd_solver.cpp:106] Iteration 69280, lr = 1e-06
I0102 00:02:47.337426 25819 solver.cpp:228] Iteration 69300, loss = 0.0815701
I0102 00:02:47.337458 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0400321 (* 1 = 0.0400321 loss)
I0102 00:02:47.337464 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0431583 (* 1 = 0.0431583 loss)
I0102 00:02:47.337471 25819 sgd_solver.cpp:106] Iteration 69300, lr = 1e-06
I0102 00:03:17.516477 25819 solver.cpp:228] Iteration 69320, loss = 0.229672
I0102 00:03:17.516510 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0543432 (* 1 = 0.0543432 loss)
I0102 00:03:17.516516 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.104583 (* 1 = 0.104583 loss)
I0102 00:03:17.516523 25819 sgd_solver.cpp:106] Iteration 69320, lr = 1e-06
I0102 00:03:45.933454 25819 solver.cpp:228] Iteration 69340, loss = 0.0378927
I0102 00:03:45.933485 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0115473 (* 1 = 0.0115473 loss)
I0102 00:03:45.933495 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0166471 (* 1 = 0.0166471 loss)
I0102 00:03:45.933506 25819 sgd_solver.cpp:106] Iteration 69340, lr = 1e-06
I0102 00:04:14.532622 25819 solver.cpp:228] Iteration 69360, loss = 0.228504
I0102 00:04:14.532655 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.130603 (* 1 = 0.130603 loss)
I0102 00:04:14.532661 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.100992 (* 1 = 0.100992 loss)
I0102 00:04:14.532668 25819 sgd_solver.cpp:106] Iteration 69360, lr = 1e-06
I0102 00:04:46.451395 25819 solver.cpp:228] Iteration 69380, loss = 0.18771
I0102 00:04:46.451426 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.07426 (* 1 = 0.07426 loss)
I0102 00:04:46.451432 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.144934 (* 1 = 0.144934 loss)
I0102 00:04:46.451439 25819 sgd_solver.cpp:106] Iteration 69380, lr = 1e-06
speed: 1.513s / iter
I0102 00:05:16.604264 25819 solver.cpp:228] Iteration 69400, loss = 0.10978
I0102 00:05:16.604295 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0211731 (* 1 = 0.0211731 loss)
I0102 00:05:16.604317 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.000578853 (* 1 = 0.000578853 loss)
I0102 00:05:16.604326 25819 sgd_solver.cpp:106] Iteration 69400, lr = 1e-06
I0102 00:05:44.989248 25819 solver.cpp:228] Iteration 69420, loss = 0.170575
I0102 00:05:44.989282 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0467688 (* 1 = 0.0467688 loss)
I0102 00:05:44.989290 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0785722 (* 1 = 0.0785722 loss)
I0102 00:05:44.989298 25819 sgd_solver.cpp:106] Iteration 69420, lr = 1e-06
I0102 00:06:15.806988 25819 solver.cpp:228] Iteration 69440, loss = 0.0604954
I0102 00:06:15.807018 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0419029 (* 1 = 0.0419029 loss)
I0102 00:06:15.807025 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0573803 (* 1 = 0.0573803 loss)
I0102 00:06:15.807032 25819 sgd_solver.cpp:106] Iteration 69440, lr = 1e-06
I0102 00:06:50.273201 25819 solver.cpp:228] Iteration 69460, loss = 0.129129
I0102 00:06:50.273232 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0254311 (* 1 = 0.0254311 loss)
I0102 00:06:50.273239 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0749651 (* 1 = 0.0749651 loss)
I0102 00:06:50.273247 25819 sgd_solver.cpp:106] Iteration 69460, lr = 1e-06
I0102 00:07:19.007436 25819 solver.cpp:228] Iteration 69480, loss = 0.109846
I0102 00:07:19.007467 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0286782 (* 1 = 0.0286782 loss)
I0102 00:07:19.007474 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0710743 (* 1 = 0.0710743 loss)
I0102 00:07:19.007481 25819 sgd_solver.cpp:106] Iteration 69480, lr = 1e-06
I0102 00:07:49.472429 25819 solver.cpp:228] Iteration 69500, loss = 0.0385078
I0102 00:07:49.472460 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00702049 (* 1 = 0.00702049 loss)
I0102 00:07:49.472466 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.012681 (* 1 = 0.012681 loss)
I0102 00:07:49.472487 25819 sgd_solver.cpp:106] Iteration 69500, lr = 1e-06
I0102 00:08:19.371449 25819 solver.cpp:228] Iteration 69520, loss = 0.1922
I0102 00:08:19.371480 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.170639 (* 1 = 0.170639 loss)
I0102 00:08:19.371502 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.03606 (* 1 = 0.03606 loss)
I0102 00:08:19.371510 25819 sgd_solver.cpp:106] Iteration 69520, lr = 1e-06
I0102 00:08:47.614027 25819 solver.cpp:228] Iteration 69540, loss = 0.111649
I0102 00:08:47.614059 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.123719 (* 1 = 0.123719 loss)
I0102 00:08:47.614066 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0624176 (* 1 = 0.0624176 loss)
I0102 00:08:47.614073 25819 sgd_solver.cpp:106] Iteration 69540, lr = 1e-06
I0102 00:09:17.936411 25819 solver.cpp:228] Iteration 69560, loss = 0.131657
I0102 00:09:17.936440 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0569928 (* 1 = 0.0569928 loss)
I0102 00:09:17.936447 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0698829 (* 1 = 0.0698829 loss)
I0102 00:09:17.936455 25819 sgd_solver.cpp:106] Iteration 69560, lr = 1e-06
I0102 00:09:49.254858 25819 solver.cpp:228] Iteration 69580, loss = 0.108097
I0102 00:09:49.254890 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0316457 (* 1 = 0.0316457 loss)
I0102 00:09:49.254896 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.105714 (* 1 = 0.105714 loss)
I0102 00:09:49.254904 25819 sgd_solver.cpp:106] Iteration 69580, lr = 1e-06
speed: 1.513s / iter
I0102 00:10:20.190335 25819 solver.cpp:228] Iteration 69600, loss = 0.177398
I0102 00:10:20.190366 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.101617 (* 1 = 0.101617 loss)
I0102 00:10:20.190372 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0428167 (* 1 = 0.0428167 loss)
I0102 00:10:20.190379 25819 sgd_solver.cpp:106] Iteration 69600, lr = 1e-06
I0102 00:10:50.016979 25819 solver.cpp:228] Iteration 69620, loss = 0.182388
I0102 00:10:50.017012 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.111077 (* 1 = 0.111077 loss)
I0102 00:10:50.017019 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0717105 (* 1 = 0.0717105 loss)
I0102 00:10:50.017026 25819 sgd_solver.cpp:106] Iteration 69620, lr = 1e-06
I0102 00:11:22.580443 25819 solver.cpp:228] Iteration 69640, loss = 0.100076
I0102 00:11:22.580476 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.095659 (* 1 = 0.095659 loss)
I0102 00:11:22.580483 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0260152 (* 1 = 0.0260152 loss)
I0102 00:11:22.580490 25819 sgd_solver.cpp:106] Iteration 69640, lr = 1e-06
I0102 00:11:52.470999 25819 solver.cpp:228] Iteration 69660, loss = 0.128891
I0102 00:11:52.471031 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.106968 (* 1 = 0.106968 loss)
I0102 00:11:52.471040 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0657507 (* 1 = 0.0657507 loss)
I0102 00:11:52.471046 25819 sgd_solver.cpp:106] Iteration 69660, lr = 1e-06
I0102 00:12:22.491847 25819 solver.cpp:228] Iteration 69680, loss = 0.0857559
I0102 00:12:22.491876 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00660572 (* 1 = 0.00660572 loss)
I0102 00:12:22.491883 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.040055 (* 1 = 0.040055 loss)
I0102 00:12:22.491904 25819 sgd_solver.cpp:106] Iteration 69680, lr = 1e-06
I0102 00:12:54.416538 25819 solver.cpp:228] Iteration 69700, loss = 0.110876
I0102 00:12:54.416572 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0782392 (* 1 = 0.0782392 loss)
I0102 00:12:54.416584 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0781586 (* 1 = 0.0781586 loss)
I0102 00:12:54.416592 25819 sgd_solver.cpp:106] Iteration 69700, lr = 1e-06
I0102 00:13:24.611878 25819 solver.cpp:228] Iteration 69720, loss = 0.1697
I0102 00:13:24.611913 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.136887 (* 1 = 0.136887 loss)
I0102 00:13:24.611924 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.06141 (* 1 = 0.06141 loss)
I0102 00:13:24.611934 25819 sgd_solver.cpp:106] Iteration 69720, lr = 1e-06
I0102 00:14:00.287425 25819 solver.cpp:228] Iteration 69740, loss = 0.261726
I0102 00:14:00.287456 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0573218 (* 1 = 0.0573218 loss)
I0102 00:14:00.287463 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0273848 (* 1 = 0.0273848 loss)
I0102 00:14:00.287472 25819 sgd_solver.cpp:106] Iteration 69740, lr = 1e-06
I0102 00:14:29.131099 25819 solver.cpp:228] Iteration 69760, loss = 0.022549
I0102 00:14:29.131131 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0157047 (* 1 = 0.0157047 loss)
I0102 00:14:29.131137 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0135839 (* 1 = 0.0135839 loss)
I0102 00:14:29.131160 25819 sgd_solver.cpp:106] Iteration 69760, lr = 1e-06
I0102 00:14:58.904021 25819 solver.cpp:228] Iteration 69780, loss = 8.9448
I0102 00:14:58.904053 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.849724 (* 1 = 0.849724 loss)
I0102 00:14:58.904060 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 16.8821 (* 1 = 16.8821 loss)
I0102 00:14:58.904068 25819 sgd_solver.cpp:106] Iteration 69780, lr = 1e-06
speed: 1.513s / iter
I0102 00:15:30.863903 25819 solver.cpp:228] Iteration 69800, loss = 0.128413
I0102 00:15:30.863931 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00496593 (* 1 = 0.00496593 loss)
I0102 00:15:30.863937 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0342796 (* 1 = 0.0342796 loss)
I0102 00:15:30.863945 25819 sgd_solver.cpp:106] Iteration 69800, lr = 1e-06
I0102 00:16:00.891465 25819 solver.cpp:228] Iteration 69820, loss = 0.106686
I0102 00:16:00.891497 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0554468 (* 1 = 0.0554468 loss)
I0102 00:16:00.891505 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0911218 (* 1 = 0.0911218 loss)
I0102 00:16:00.891511 25819 sgd_solver.cpp:106] Iteration 69820, lr = 1e-06
I0102 00:16:30.062238 25819 solver.cpp:228] Iteration 69840, loss = 7.70389
I0102 00:16:30.062270 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 1.40809 (* 1 = 1.40809 loss)
I0102 00:16:30.062278 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 13.9694 (* 1 = 13.9694 loss)
I0102 00:16:30.062286 25819 sgd_solver.cpp:106] Iteration 69840, lr = 1e-06
I0102 00:16:58.156456 25819 solver.cpp:228] Iteration 69860, loss = 0.114448
I0102 00:16:58.156488 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0121105 (* 1 = 0.0121105 loss)
I0102 00:16:58.156495 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0715038 (* 1 = 0.0715038 loss)
I0102 00:16:58.156502 25819 sgd_solver.cpp:106] Iteration 69860, lr = 1e-06
I0102 00:17:27.151508 25819 solver.cpp:228] Iteration 69880, loss = 0.11837
I0102 00:17:27.151543 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.12847 (* 1 = 0.12847 loss)
I0102 00:17:27.151571 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0219371 (* 1 = 0.0219371 loss)
I0102 00:17:27.151580 25819 sgd_solver.cpp:106] Iteration 69880, lr = 1e-06
I0102 00:17:57.054921 25819 solver.cpp:228] Iteration 69900, loss = 0.144149
I0102 00:17:57.054953 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.167066 (* 1 = 0.167066 loss)
I0102 00:17:57.054960 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0953672 (* 1 = 0.0953672 loss)
I0102 00:17:57.054967 25819 sgd_solver.cpp:106] Iteration 69900, lr = 1e-06
I0102 00:18:24.088848 25819 solver.cpp:228] Iteration 69920, loss = 6.40035
I0102 00:18:24.088881 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.513739 (* 1 = 0.513739 loss)
I0102 00:18:24.088888 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 12.1665 (* 1 = 12.1665 loss)
I0102 00:18:24.088896 25819 sgd_solver.cpp:106] Iteration 69920, lr = 1e-06
I0102 00:18:55.631356 25819 solver.cpp:228] Iteration 69940, loss = 0.124599
I0102 00:18:55.631388 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.0816347 (* 1 = 0.0816347 loss)
I0102 00:18:55.631395 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0235357 (* 1 = 0.0235357 loss)
I0102 00:18:55.631402 25819 sgd_solver.cpp:106] Iteration 69940, lr = 1e-06
I0102 00:19:26.121008 25819 solver.cpp:228] Iteration 69960, loss = 8.25918
I0102 00:19:26.121042 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00619225 (* 1 = 0.00619225 loss)
I0102 00:19:26.121047 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.00371188 (* 1 = 0.00371188 loss)
I0102 00:19:26.121055 25819 sgd_solver.cpp:106] Iteration 69960, lr = 1e-06
I0102 00:19:58.914350 25819 solver.cpp:228] Iteration 69980, loss = 0.0804747
I0102 00:19:58.914399 25819 solver.cpp:244]     Train net output #0: rpn_cls_loss = 0.00432469 (* 1 = 0.00432469 loss)
I0102 00:19:58.914414 25819 solver.cpp:244]     Train net output #1: rpn_loss_bbox = 0.0326333 (* 1 = 0.0326333 loss)
I0102 00:19:58.914424 25819 sgd_solver.cpp:106] Iteration 69980, lr = 1e-06
speed: 1.513s / iter
I0102 00:20:29.061044 25819 net.cpp:1055] Serializing 53 layers
Wrote snapshot to: /home/tangxiaowei/CTPN.caffe-master/output/faster_rcnn_end2end/text_voc/vgg16_ctpn_iter_70000.caffemodel
done solving