xuwentang
commented
6 years ago hello , i don't download DET and VID, can you share it?thank you.
Closed ZhihuaGao closed 6 years ago
xuwentang
commented
6 years ago hello , i don't download DET and VID, can you share it?thank you.
When I train dff by your tutorial，it only run epoch 0 and end without any checkpoints. It seems that there comes to a problem when the training process wanna do checkpoints. Here is the training log. Could you help me find the reason？ @YuwenXiong
2018-10-22 17:28:31,825 training config:{'CLASS_AGNOSTIC': True, 'MXNET_VERSION': 'mxnet', 'SCALES': [(600, 1000)], 'TEST': {'BATCH_IMAGES': 1, 'CXX_PROPOSAL': True, 'HAS_RPN': True, 'KEY_FRAME_INTERVAL': 10, 'NMS': 0.3, 'RPN_MIN_SIZE': 0, 'RPN_NMS_THRESH': 0.7, 'RPN_POST_NMS_TOP_N': 300, 'RPN_PRE_NMS_TOP_N': 6000, 'max_per_image': 300, 'test_epoch': 2}, 'TRAIN': {'ASPECT_GROUPING': True, 'BATCH_IMAGES': 1, 'BATCH_ROIS': -1, 'BATCH_ROIS_OHEM': 128, 'BBOX_MEANS': [0.0, 0.0, 0.0, 0.0], 'BBOX_NORMALIZATION_PRECOMPUTED': True, 'BBOX_REGRESSION_THRESH': 0.5, 'BBOX_STDS': [0.1, 0.1, 0.2, 0.2], 'BBOX_WEIGHTS': array([1., 1., 1., 1.]), 'BG_THRESH_HI': 0.5, 'BG_THRESH_LO': 0.0, 'CXX_PROPOSAL': True, 'ENABLE_OHEM': True, 'END2END': True, 'FG_FRACTION': 0.25, 'FG_THRESH': 0.5, 'FLIP': True, 'MAX_OFFSET': 0, 'MIN_OFFSET': -9, 'RESUME': False, 'RPN_BATCH_SIZE': 256, 'RPN_BBOX_WEIGHTS': [1.0, 1.0, 1.0, 1.0], 'RPN_CLOBBER_POSITIVES': False, 'RPN_FG_FRACTION': 0.5, 'RPN_MIN_SIZE': 0, 'RPN_NEGATIVE_OVERLAP': 0.3, 'RPN_NMS_THRESH': 0.7, 'RPN_POSITIVE_OVERLAP': 0.7, 'RPN_POSITIVE_WEIGHT': -1.0, 'RPN_POST_NMS_TOP_N': 300, 'RPN_PRE_NMS_TOP_N': 6000, 'SHUFFLE': True, 'begin_epoch': 0, 'end_epoch': 2, 'lr': 0.00025, 'lr_factor': 0.1, 'lr_step': '1.333', 'model_prefix': 'dff_rfcn_vid', 'momentum': 0.9, 'warmup': False, 'warmup_lr': 0, 'warmup_step': 0, 'wd': 0.0005}, 'dataset': {'NUM_CLASSES': 31, 'dataset': 'ImageNetVID', 'dataset_path': './data/ILSVRC2015', 'image_set': 'DET_train_30classes+VID_train_15frames', 'proposal': 'rpn', 'root_path': './data', 'test_image_set': 'VID_val_videos'}, 'default': {'frequent': 100, 'kvstore': 'device'}, 'gpus': '0,1,2,3', 'network': {'ANCHOR_MEANS': [0.0, 0.0, 0.0, 0.0], 'ANCHOR_RATIOS': [0.5, 1, 2], 'ANCHOR_SCALES': [8, 16, 32], 'ANCHOR_STDS': [0.1, 0.1, 0.4, 0.4], 'DFF_FEAT_DIM': 1024, 'FIXED_PARAMS': ['conv1', 'bn_conv1', 'res2', 'bn2', 'gamma', 'beta'], 'IMAGE_STRIDE': 0, 'NORMALIZE_RPN': True, 'NUM_ANCHORS': 9, 'PIXEL_MEANS': array([103.06, 115.9 , 123.15]), 'RCNN_FEAT_STRIDE': 16, 'RPN_FEAT_STRIDE': 16, 'pretrained': './model/pretrained_model/resnet_v1_101', 'pretrained_epoch': 0, 'pretrained_flow': './model/pretrained_model/flownet'}, 'output_path': './output/dff_rfcn/imagenet_vid', 'symbol': 'resnet_v1_101_flownet_rfcn'}
2018-10-22 17:29:56,328 Epoch[0] Batch [100] Speed: 6.98 samples/sec Train-RPNAcc=0.938419, RPNLogLoss=0.242624, RPNL1Loss=0.174534, RCNNAcc=0.775623, RCNNLogLoss=1.531296, RCNNL1Loss=0.401666,
2018-10-22 17:30:53,385 Epoch[0] Batch [200] Speed: 7.01 samples/sec Train-RPNAcc=0.944253, RPNLogLoss=0.196199, RPNL1Loss=0.155457, RCNNAcc=0.804649, RCNNLogLoss=1.260585, RCNNL1Loss=0.396311,
2018-10-22 17:31:51,689 Epoch[0] Batch [300] Speed: 6.86 samples/sec Train-RPNAcc=0.948038, RPNLogLoss=0.174637, RPNL1Loss=0.152288, RCNNAcc=0.805998, RCNNLogLoss=1.200960, RCNNL1Loss=0.393900,
2018-10-22 17:32:46,896 Epoch[0] Batch [400] Speed: 7.25 samples/sec Train-RPNAcc=0.951169, RPNLogLoss=0.161123, RPNL1Loss=0.148256, RCNNAcc=0.798244, RCNNLogLoss=1.211171, RCNNL1Loss=0.402053,
2018-10-22 17:33:43,012 Epoch[0] Batch [500] Speed: 7.13 samples/sec Train-RPNAcc=0.952386, RPNLogLoss=0.153004, RPNL1Loss=0.147156, RCNNAcc=0.802076, RCNNLogLoss=1.170933, RCNNL1Loss=0.385323,
2018-10-22 17:34:39,432 Epoch[0] Batch [600] Speed: 7.09 samples/sec Train-RPNAcc=0.954098, RPNLogLoss=0.145071, RPNL1Loss=0.144994, RCNNAcc=0.801129, RCNNLogLoss=1.155608, RCNNL1Loss=0.374404,
2018-10-22 17:35:35,403 Epoch[0] Batch [700] Speed: 7.15 samples/sec Train-RPNAcc=0.955578, RPNLogLoss=0.138940, RPNL1Loss=0.143415, RCNNAcc=0.798828, RCNNLogLoss=1.144288, RCNNL1Loss=0.366507,
2018-10-22 17:36:31,558 Epoch[0] Batch [800] Speed: 7.12 samples/sec Train-RPNAcc=0.957087, RPNLogLoss=0.133155, RPNL1Loss=0.141609, RCNNAcc=0.796702, RCNNLogLoss=1.134449, RCNNL1Loss=0.361963,
2018-10-22 17:37:27,377 Epoch[0] Batch [900] Speed: 7.17 samples/sec Train-RPNAcc=0.958555, RPNLogLoss=0.127915, RPNL1Loss=0.140284, RCNNAcc=0.793277, RCNNLogLoss=1.128263, RCNNL1Loss=0.359346,
2018-10-22 17:38:23,746 Epoch[0] Batch [1000] Speed: 7.10 samples/sec Train-RPNAcc=0.958223, RPNLogLoss=0.128491, RPNL1Loss=0.140976, RCNNAcc=0.795868, RCNNLogLoss=1.102089, RCNNL1Loss=0.349936,
2018-10-22 17:39:19,592 Epoch[0] Batch [1100] Speed: 7.16 samples/sec Train-RPNAcc=0.959264, RPNLogLoss=0.124969, RPNL1Loss=0.140243, RCNNAcc=0.791519, RCNNLogLoss=1.103796, RCNNL1Loss=0.352133,
2018-10-22 17:40:16,240 Epoch[0] Batch [1200] Speed: 7.06 samples/sec Train-RPNAcc=0.960300, RPNLogLoss=0.121758, RPNL1Loss=0.137926, RCNNAcc=0.789411, RCNNLogLoss=1.096109, RCNNL1Loss=0.349476,
2018-10-22 17:41:12,827 Epoch[0] Batch [1300] Speed: 7.07 samples/sec Train-RPNAcc=0.961108, RPNLogLoss=0.119074, RPNL1Loss=0.137655, RCNNAcc=0.790366, RCNNLogLoss=1.075754, RCNNL1Loss=0.344057,
2018-10-22 17:42:09,280 Epoch[0] Batch [1400] Speed: 7.09 samples/sec Train-RPNAcc=0.961589, RPNLogLoss=0.117141, RPNL1Loss=0.138399, RCNNAcc=0.789386, RCNNLogLoss=1.066101, RCNNL1Loss=0.340967,
2018-10-22 17:43:05,151 Epoch[0] Batch [1500] Speed: 7.16 samples/sec Train-RPNAcc=0.962220, RPNLogLoss=0.115151, RPNL1Loss=0.136922, RCNNAcc=0.787253, RCNNLogLoss=1.058238, RCNNL1Loss=0.343413,
2018-10-22 17:44:00,489 Epoch[0] Batch [1600] Speed: 7.23 samples/sec Train-RPNAcc=0.962938, RPNLogLoss=0.113143, RPNL1Loss=0.136117, RCNNAcc=0.786856, RCNNLogLoss=1.046162, RCNNL1Loss=0.340656,
2018-10-22 17:44:56,411 Epoch[0] Batch [1700] Speed: 7.15 samples/sec Train-RPNAcc=0.963449, RPNLogLoss=0.111085, RPNL1Loss=0.134644, RCNNAcc=0.785314, RCNNLogLoss=1.039454, RCNNL1Loss=0.341292,
2018-10-22 17:45:54,410 Epoch[0] Batch [1800] Speed: 6.90 samples/sec Train-RPNAcc=0.963950, RPNLogLoss=0.109401, RPNL1Loss=0.133450, RCNNAcc=0.786186, RCNNLogLoss=1.023694, RCNNL1Loss=0.338534,
2018-10-22 17:46:49,485 Epoch[0] Batch [1900] Speed: 7.26 samples/sec Train-RPNAcc=0.964665, RPNLogLoss=0.107269, RPNL1Loss=0.133071, RCNNAcc=0.788133, RCNNLogLoss=1.005179, RCNNL1Loss=0.334175,
2018-10-22 17:47:45,404 Epoch[0] Batch [2000] Speed: 7.15 samples/sec Train-RPNAcc=0.965146, RPNLogLoss=0.105592, RPNL1Loss=0.131037, RCNNAcc=0.787847, RCNNLogLoss=0.995279, RCNNL1Loss=0.333514,
2018-10-22 17:48:39,950 Epoch[0] Batch [2100] Speed: 7.33 samples/sec Train-RPNAcc=0.965495, RPNLogLoss=0.104378, RPNL1Loss=0.130680, RCNNAcc=0.788434, RCNNLogLoss=0.983316, RCNNL1Loss=0.331876,
2018-10-22 17:49:37,707 Epoch[0] Batch [2200] Speed: 6.93 samples/sec Train-RPNAcc=0.966008, RPNLogLoss=0.102812, RPNL1Loss=0.129648, RCNNAcc=0.788299, RCNNLogLoss=0.974149, RCNNL1Loss=0.331657,
2018-10-22 17:50:34,141 Epoch[0] Batch [2300] Speed: 7.09 samples/sec Train-RPNAcc=0.966240, RPNLogLoss=0.102076, RPNL1Loss=0.128859, RCNNAcc=0.787675, RCNNLogLoss=0.966274, RCNNL1Loss=0.332011,
2018-10-22 17:51:29,287 Epoch[0] Batch [2400] Speed: 7.25 samples/sec Train-RPNAcc=0.966514, RPNLogLoss=0.101419, RPNL1Loss=0.129323, RCNNAcc=0.789233, RCNNLogLoss=0.952805, RCNNL1Loss=0.328204,
2018-10-22 17:52:25,806 Epoch[0] Batch [2500] Speed: 7.08 samples/sec Train-RPNAcc=0.966717, RPNLogLoss=0.100576, RPNL1Loss=0.129733, RCNNAcc=0.789307, RCNNLogLoss=0.943606, RCNNL1Loss=0.327199,
2018-10-22 17:53:21,440 Epoch[0] Batch [2600] Speed: 7.19 samples/sec Train-RPNAcc=0.967148, RPNLogLoss=0.099136, RPNL1Loss=0.129458, RCNNAcc=0.788621, RCNNLogLoss=0.936794, RCNNL1Loss=0.326754,
2018-10-22 17:54:20,862 Epoch[0] Batch [2700] Speed: 6.73 samples/sec Train-RPNAcc=0.967459, RPNLogLoss=0.098415, RPNL1Loss=0.128687, RCNNAcc=0.789105, RCNNLogLoss=0.928258, RCNNL1Loss=0.325287,
2018-10-22 17:55:45,722 Epoch[0] Batch [2800] Speed: 4.71 samples/sec Train-RPNAcc=0.967622, RPNLogLoss=0.097953, RPNL1Loss=0.128663, RCNNAcc=0.788998, RCNNLogLoss=0.920460, RCNNL1Loss=0.324726,
2018-10-22 17:56:46,134 Epoch[0] Batch [2900] Speed: 6.62 samples/sec Train-RPNAcc=0.967785, RPNLogLoss=0.097349, RPNL1Loss=0.128146, RCNNAcc=0.789023, RCNNLogLoss=0.913819, RCNNL1Loss=0.323420,
2018-10-22 17:57:42,242 Epoch[0] Batch [3000] Speed: 7.13 samples/sec Train-RPNAcc=0.967799, RPNLogLoss=0.097120, RPNL1Loss=0.129215, RCNNAcc=0.789655, RCNNLogLoss=0.904913, RCNNL1Loss=0.321665,
2018-10-22 17:58:38,980 Epoch[0] Batch [3100] Speed: 7.05 samples/sec Train-RPNAcc=0.968136, RPNLogLoss=0.096244, RPNL1Loss=0.128515, RCNNAcc=0.790748, RCNNLogLoss=0.894745, RCNNL1Loss=0.319853,
2018-10-22 17:59:36,595 Epoch[0] Batch [3200] Speed: 6.94 samples/sec Train-RPNAcc=0.968444, RPNLogLoss=0.095346, RPNL1Loss=0.127945, RCNNAcc=0.791782, RCNNLogLoss=0.884576, RCNNL1Loss=0.317732,
2018-10-22 18:00:31,742 Epoch[0] Batch [3300] Speed: 7.25 samples/sec Train-RPNAcc=0.968778, RPNLogLoss=0.094415, RPNL1Loss=0.127172, RCNNAcc=0.792492, RCNNLogLoss=0.876701, RCNNL1Loss=0.316061,
2018-10-22 18:01:27,681 Epoch[0] Batch [3400] Speed: 7.15 samples/sec Train-RPNAcc=0.969122, RPNLogLoss=0.093464, RPNL1Loss=0.125905, RCNNAcc=0.793174, RCNNLogLoss=0.869191, RCNNL1Loss=0.314321,
2018-10-22 18:02:24,460 Epoch[0] Batch [3500] Speed: 7.04 samples/sec Train-RPNAcc=0.969334, RPNLogLoss=0.092852, RPNL1Loss=0.125284, RCNNAcc=0.793739, RCNNLogLoss=0.861787, RCNNL1Loss=0.313024,
2018-10-22 18:03:19,998 Epoch[0] Batch [3600] Speed: 7.20 samples/sec Train-RPNAcc=0.969570, RPNLogLoss=0.092200, RPNL1Loss=0.124986, RCNNAcc=0.794087, RCNNLogLoss=0.855338, RCNNL1Loss=0.312044,
2018-10-22 18:04:16,732 Epoch[0] Batch [3700] Speed: 7.05 samples/sec Train-RPNAcc=0.969852, RPNLogLoss=0.091332, RPNL1Loss=0.124038, RCNNAcc=0.794008, RCNNLogLoss=0.850198, RCNNL1Loss=0.311579,
2018-10-22 18:05:11,541 Epoch[0] Batch [3800] Speed: 7.30 samples/sec Train-RPNAcc=0.970050, RPNLogLoss=0.090729, RPNL1Loss=0.123530, RCNNAcc=0.794209, RCNNLogLoss=0.844507, RCNNL1Loss=0.311200,
2018-10-22 18:06:06,624 Epoch[0] Batch [3900] Speed: 7.26 samples/sec Train-RPNAcc=0.970272, RPNLogLoss=0.090011, RPNL1Loss=0.122730, RCNNAcc=0.793607, RCNNLogLoss=0.841498, RCNNL1Loss=0.311983,
2018-10-22 18:07:01,604 Epoch[0] Batch [4000] Speed: 7.28 samples/sec Train-RPNAcc=0.970455, RPNLogLoss=0.089432, RPNL1Loss=0.122767, RCNNAcc=0.794076, RCNNLogLoss=0.834961, RCNNL1Loss=0.311077,
2018-10-22 18:07:59,397 Epoch[0] Batch [4100] Speed: 6.92 samples/sec Train-RPNAcc=0.970585, RPNLogLoss=0.088994, RPNL1Loss=0.122439, RCNNAcc=0.794139, RCNNLogLoss=0.830595, RCNNL1Loss=0.310648,
2018-10-22 18:08:57,431 Epoch[0] Batch [4200] Speed: 6.89 samples/sec Train-RPNAcc=0.970639, RPNLogLoss=0.088769, RPNL1Loss=0.122558, RCNNAcc=0.795129, RCNNLogLoss=0.823130, RCNNL1Loss=0.308940,
2018-10-22 18:09:53,188 Epoch[0] Batch [4300] Speed: 7.17 samples/sec Train-RPNAcc=0.970759, RPNLogLoss=0.088372, RPNL1Loss=0.122430, RCNNAcc=0.795163, RCNNLogLoss=0.818745, RCNNL1Loss=0.308408,
2018-10-22 18:10:50,610 Epoch[0] Batch [4400] Speed: 6.97 samples/sec Train-RPNAcc=0.970885, RPNLogLoss=0.087957, RPNL1Loss=0.122302, RCNNAcc=0.794627, RCNNLogLoss=0.816503, RCNNL1Loss=0.308814,
2018-10-22 18:11:46,340 Epoch[0] Batch [4500] Speed: 7.18 samples/sec Train-RPNAcc=0.970973, RPNLogLoss=0.087649, RPNL1Loss=0.121812, RCNNAcc=0.794908, RCNNLogLoss=0.811751, RCNNL1Loss=0.307942,
2018-10-22 18:12:45,296 Epoch[0] Batch [4600] Speed: 6.78 samples/sec Train-RPNAcc=0.971151, RPNLogLoss=0.087104, RPNL1Loss=0.121402, RCNNAcc=0.795025, RCNNLogLoss=0.807748, RCNNL1Loss=0.307783,
2018-10-22 18:13:43,980 Epoch[0] Batch [4700] Speed: 6.82 samples/sec Train-RPNAcc=0.971264, RPNLogLoss=0.086686, RPNL1Loss=0.121377, RCNNAcc=0.795621, RCNNLogLoss=0.802577, RCNNL1Loss=0.306727,
2018-10-22 18:14:39,504 Epoch[0] Batch [4800] Speed: 7.20 samples/sec Train-RPNAcc=0.971352, RPNLogLoss=0.086351, RPNL1Loss=0.120971, RCNNAcc=0.795920, RCNNLogLoss=0.798665, RCNNL1Loss=0.305959,
2018-10-22 18:15:38,617 Epoch[0] Batch [4900] Speed: 6.77 samples/sec Train-RPNAcc=0.971440, RPNLogLoss=0.086177, RPNL1Loss=0.120899, RCNNAcc=0.796584, RCNNLogLoss=0.793523, RCNNL1Loss=0.304711,
2018-10-22 18:16:33,808 Epoch[0] Batch [5000] Speed: 7.25 samples/sec Train-RPNAcc=0.971605, RPNLogLoss=0.085679, RPNL1Loss=0.120574, RCNNAcc=0.797122, RCNNLogLoss=0.788489, RCNNL1Loss=0.303706,
2018-10-22 18:17:28,517 Epoch[0] Batch [5100] Speed: 7.31 samples/sec Train-RPNAcc=0.971756, RPNLogLoss=0.085246, RPNL1Loss=0.120085, RCNNAcc=0.797329, RCNNLogLoss=0.784636, RCNNL1Loss=0.303271,
2018-10-22 18:18:26,365 Epoch[0] Batch [5200] Speed: 6.91 samples/sec Train-RPNAcc=0.971932, RPNLogLoss=0.084708, RPNL1Loss=0.120007, RCNNAcc=0.797761, RCNNLogLoss=0.780460, RCNNL1Loss=0.302364,
2018-10-22 18:19:21,979 Epoch[0] Batch [5300] Speed: 7.19 samples/sec Train-RPNAcc=0.972075, RPNLogLoss=0.084241, RPNL1Loss=0.119429, RCNNAcc=0.797971, RCNNLogLoss=0.776815, RCNNL1Loss=0.302078,
2018-10-22 18:20:20,166 Epoch[0] Batch [5400] Speed: 6.87 samples/sec Train-RPNAcc=0.972189, RPNLogLoss=0.083845, RPNL1Loss=0.118944, RCNNAcc=0.798077, RCNNLogLoss=0.773727, RCNNL1Loss=0.301859,
2018-10-22 18:21:15,571 Epoch[0] Batch [5500] Speed: 7.22 samples/sec Train-RPNAcc=0.972298, RPNLogLoss=0.083538, RPNL1Loss=0.118636, RCNNAcc=0.798382, RCNNLogLoss=0.769933, RCNNL1Loss=0.301390,
2018-10-22 18:22:12,780 Epoch[0] Batch [5600] Speed: 6.99 samples/sec Train-RPNAcc=0.972411, RPNLogLoss=0.083206, RPNL1Loss=0.118440, RCNNAcc=0.798691, RCNNLogLoss=0.766021, RCNNL1Loss=0.300718,
2018-10-22 18:23:11,528 Epoch[0] Batch [5700] Speed: 6.81 samples/sec Train-RPNAcc=0.972569, RPNLogLoss=0.082779, RPNL1Loss=0.117960, RCNNAcc=0.798794, RCNNLogLoss=0.762826, RCNNL1Loss=0.300439,
2018-10-22 18:24:07,521 Epoch[0] Batch [5800] Speed: 7.14 samples/sec Train-RPNAcc=0.972673, RPNLogLoss=0.082428, RPNL1Loss=0.117702, RCNNAcc=0.799111, RCNNLogLoss=0.758982, RCNNL1Loss=0.299918,
2018-10-22 18:25:05,173 Epoch[0] Batch [5900] Speed: 6.94 samples/sec Train-RPNAcc=0.972802, RPNLogLoss=0.082077, RPNL1Loss=0.117324, RCNNAcc=0.799486, RCNNLogLoss=0.755149, RCNNL1Loss=0.299153,
2018-10-22 18:26:13,253 Epoch[0] Batch [6000] Speed: 5.88 samples/sec Train-RPNAcc=0.972930, RPNLogLoss=0.081672, RPNL1Loss=0.117023, RCNNAcc=0.799861, RCNNLogLoss=0.751666, RCNNL1Loss=0.298615,
2018-10-22 18:27:28,753 Epoch[0] Batch [6100] Speed: 5.30 samples/sec Train-RPNAcc=0.973044, RPNLogLoss=0.081284, RPNL1Loss=0.116921, RCNNAcc=0.799980, RCNNLogLoss=0.748862, RCNNL1Loss=0.298586,
2018-10-22 18:28:26,898 Epoch[0] Batch [6200] Speed: 6.88 samples/sec Train-RPNAcc=0.973086, RPNLogLoss=0.081119, RPNL1Loss=0.116916, RCNNAcc=0.800278, RCNNLogLoss=0.745637, RCNNL1Loss=0.298052,
2018-10-22 18:29:22,709 Epoch[0] Batch [6300] Speed: 7.17 samples/sec Train-RPNAcc=0.973153, RPNLogLoss=0.080848, RPNL1Loss=0.116803, RCNNAcc=0.800467, RCNNLogLoss=0.742993, RCNNL1Loss=0.297775,
2018-10-22 18:30:17,852 Epoch[0] Batch [6400] Speed: 7.25 samples/sec Train-RPNAcc=0.973244, RPNLogLoss=0.080600, RPNL1Loss=0.116706, RCNNAcc=0.800786, RCNNLogLoss=0.739939, RCNNL1Loss=0.297148,
2018-10-22 18:31:13,122 Epoch[0] Batch [6500] Speed: 7.24 samples/sec Train-RPNAcc=0.973386, RPNLogLoss=0.080204, RPNL1Loss=0.116477, RCNNAcc=0.801406, RCNNLogLoss=0.736122, RCNNL1Loss=0.296149,
2018-10-22 18:32:10,134 Epoch[0] Batch [6600] Speed: 7.02 samples/sec Train-RPNAcc=0.973481, RPNLogLoss=0.079961, RPNL1Loss=0.116510, RCNNAcc=0.801727, RCNNLogLoss=0.733256, RCNNL1Loss=0.295572,
2018-10-22 18:33:09,448 Epoch[0] Batch [6700] Speed: 6.74 samples/sec Train-RPNAcc=0.973593, RPNLogLoss=0.079628, RPNL1Loss=0.116238, RCNNAcc=0.801759, RCNNLogLoss=0.731321, RCNNL1Loss=0.295294,
2018-10-22 18:34:04,636 Epoch[0] Batch [6800] Speed: 7.25 samples/sec Train-RPNAcc=0.973696, RPNLogLoss=0.079308, RPNL1Loss=0.115944, RCNNAcc=0.802162, RCNNLogLoss=0.728174, RCNNL1Loss=0.294687,
2018-10-22 18:35:01,898 Epoch[0] Batch [6900] Speed: 6.99 samples/sec Train-RPNAcc=0.973802, RPNLogLoss=0.078937, RPNL1Loss=0.115664, RCNNAcc=0.802280, RCNNLogLoss=0.725806, RCNNL1Loss=0.294457,
2018-10-22 18:35:56,910 Epoch[0] Batch [7000] Speed: 7.27 samples/sec Train-RPNAcc=0.973823, RPNLogLoss=0.078877, RPNL1Loss=0.115757, RCNNAcc=0.802512, RCNNLogLoss=0.723219, RCNNL1Loss=0.293950,
2018-10-22 18:36:53,149 Epoch[0] Batch [7100] Speed: 7.11 samples/sec Train-RPNAcc=0.973939, RPNLogLoss=0.078513, RPNL1Loss=0.115393, RCNNAcc=0.802920, RCNNLogLoss=0.720333, RCNNL1Loss=0.293223,
2018-10-22 18:37:47,962 Epoch[0] Batch [7200] Speed: 7.30 samples/sec Train-RPNAcc=0.974032, RPNLogLoss=0.078201, RPNL1Loss=0.115162, RCNNAcc=0.803271, RCNNLogLoss=0.717343, RCNNL1Loss=0.292480,
2018-10-22 18:38:45,470 Epoch[0] Batch [7300] Speed: 6.96 samples/sec Train-RPNAcc=0.974133, RPNLogLoss=0.077899, RPNL1Loss=0.114685, RCNNAcc=0.803456, RCNNLogLoss=0.715203, RCNNL1Loss=0.291988,
2018-10-22 18:39:45,414 Epoch[0] Batch [7400] Speed: 6.67 samples/sec Train-RPNAcc=0.974242, RPNLogLoss=0.077576, RPNL1Loss=0.114377, RCNNAcc=0.803766, RCNNLogLoss=0.712443, RCNNL1Loss=0.291309,
2018-10-22 18:40:40,996 Epoch[0] Batch [7500] Speed: 7.20 samples/sec Train-RPNAcc=0.974356, RPNLogLoss=0.077251, RPNL1Loss=0.114029, RCNNAcc=0.804271, RCNNLogLoss=0.709383, RCNNL1Loss=0.290571,
2018-10-22 18:41:38,706 Epoch[0] Batch [7600] Speed: 6.93 samples/sec Train-RPNAcc=0.974470, RPNLogLoss=0.076918, RPNL1Loss=0.113554, RCNNAcc=0.804524, RCNNLogLoss=0.707028, RCNNL1Loss=0.290148,
2018-10-22 18:42:33,751 Epoch[0] Batch [7700] Speed: 7.27 samples/sec Train-RPNAcc=0.974528, RPNLogLoss=0.076743, RPNL1Loss=0.113394, RCNNAcc=0.804668, RCNNLogLoss=0.704805, RCNNL1Loss=0.289808,
2018-10-22 18:43:30,757 Epoch[0] Batch [7800] Speed: 7.02 samples/sec Train-RPNAcc=0.974622, RPNLogLoss=0.076437, RPNL1Loss=0.113077, RCNNAcc=0.804637, RCNNLogLoss=0.703187, RCNNL1Loss=0.289685,
2018-10-22 18:44:31,545 Epoch[0] Batch [7900] Speed: 6.58 samples/sec Train-RPNAcc=0.974656, RPNLogLoss=0.076389, RPNL1Loss=0.112965, RCNNAcc=0.804803, RCNNLogLoss=0.701377, RCNNL1Loss=0.289269,
2018-10-22 18:45:28,185 Epoch[0] Batch [8000] Speed: 7.06 samples/sec Train-RPNAcc=0.974748, RPNLogLoss=0.076129, RPNL1Loss=0.112559, RCNNAcc=0.805174, RCNNLogLoss=0.698792, RCNNL1Loss=0.288844,
2018-10-22 18:46:24,644 Epoch[0] Batch [8100] Speed: 7.08 samples/sec Train-RPNAcc=0.974828, RPNLogLoss=0.075851, RPNL1Loss=0.112266, RCNNAcc=0.805512, RCNNLogLoss=0.696122, RCNNL1Loss=0.288375,
2018-10-22 18:47:19,563 Epoch[0] Batch [8200] Speed: 7.28 samples/sec Train-RPNAcc=0.974905, RPNLogLoss=0.075605, RPNL1Loss=0.112090, RCNNAcc=0.805542, RCNNLogLoss=0.694605, RCNNL1Loss=0.288109,
2018-10-22 18:48:18,614 Epoch[0] Batch [8300] Speed: 6.77 samples/sec Train-RPNAcc=0.974949, RPNLogLoss=0.075440, RPNL1Loss=0.112209, RCNNAcc=0.805496, RCNNLogLoss=0.693353, RCNNL1Loss=0.288181,
2018-10-22 18:49:14,973 Epoch[0] Batch [8400] Speed: 7.10 samples/sec Train-RPNAcc=0.975038, RPNLogLoss=0.075188, RPNL1Loss=0.111832, RCNNAcc=0.805491, RCNNLogLoss=0.691857, RCNNL1Loss=0.288094,
2018-10-22 18:50:11,987 Epoch[0] Batch [8500] Speed: 7.02 samples/sec Train-RPNAcc=0.975123, RPNLogLoss=0.074955, RPNL1Loss=0.111633, RCNNAcc=0.805833, RCNNLogLoss=0.689695, RCNNL1Loss=0.287545,
2018-10-22 18:51:09,262 Epoch[0] Batch [8600] Speed: 6.98 samples/sec Train-RPNAcc=0.975225, RPNLogLoss=0.074630, RPNL1Loss=0.111200, RCNNAcc=0.805906, RCNNLogLoss=0.688025, RCNNL1Loss=0.287340,
2018-10-22 18:52:06,321 Epoch[0] Batch [8700] Speed: 7.01 samples/sec Train-RPNAcc=0.975312, RPNLogLoss=0.074394, RPNL1Loss=0.110886, RCNNAcc=0.806083, RCNNLogLoss=0.686254, RCNNL1Loss=0.287068,
2018-10-22 18:53:02,581 Epoch[0] Batch [8800] Speed: 7.11 samples/sec Train-RPNAcc=0.975354, RPNLogLoss=0.074232, RPNL1Loss=0.110712, RCNNAcc=0.806245, RCNNLogLoss=0.684637, RCNNL1Loss=0.286824,
2018-10-22 18:53:59,433 Epoch[0] Batch [8900] Speed: 7.04 samples/sec Train-RPNAcc=0.975444, RPNLogLoss=0.073990, RPNL1Loss=0.110327, RCNNAcc=0.806375, RCNNLogLoss=0.683016, RCNNL1Loss=0.286539,
2018-10-22 18:54:55,390 Epoch[0] Batch [9000] Speed: 7.15 samples/sec Train-RPNAcc=0.975537, RPNLogLoss=0.073709, RPNL1Loss=0.109984, RCNNAcc=0.806328, RCNNLogLoss=0.681772, RCNNL1Loss=0.286420,
2018-10-22 18:55:52,482 Epoch[0] Batch [9100] Speed: 7.01 samples/sec Train-RPNAcc=0.975624, RPNLogLoss=0.073470, RPNL1Loss=0.109630, RCNNAcc=0.806356, RCNNLogLoss=0.680453, RCNNL1Loss=0.286374,
2018-10-22 18:56:49,379 Epoch[0] Batch [9200] Speed: 7.03 samples/sec Train-RPNAcc=0.975709, RPNLogLoss=0.073238, RPNL1Loss=0.109378, RCNNAcc=0.806680, RCNNLogLoss=0.678264, RCNNL1Loss=0.285611,
2018-10-22 18:58:08,090 Epoch[0] Batch [9300] Speed: 5.08 samples/sec Train-RPNAcc=0.975770, RPNLogLoss=0.073037, RPNL1Loss=0.109257, RCNNAcc=0.806764, RCNNLogLoss=0.676805, RCNNL1Loss=0.285402,
2018-10-22 18:59:19,832 Epoch[0] Batch [9400] Speed: 5.58 samples/sec Train-RPNAcc=0.975816, RPNLogLoss=0.072891, RPNL1Loss=0.109196, RCNNAcc=0.806788, RCNNLogLoss=0.675762, RCNNL1Loss=0.285444,
2018-10-22 19:00:15,302 Epoch[0] Batch [9500] Speed: 7.21 samples/sec Train-RPNAcc=0.975874, RPNLogLoss=0.072771, RPNL1Loss=0.109086, RCNNAcc=0.807148, RCNNLogLoss=0.673533, RCNNL1Loss=0.284973,
2018-10-22 19:01:13,523 Epoch[0] Batch [9600] Speed: 6.87 samples/sec Train-RPNAcc=0.975985, RPNLogLoss=0.072469, RPNL1Loss=0.108879, RCNNAcc=0.807389, RCNNLogLoss=0.671692, RCNNL1Loss=0.284534,
2018-10-22 19:02:10,769 Epoch[0] Batch [9700] Speed: 6.99 samples/sec Train-RPNAcc=0.976039, RPNLogLoss=0.072320, RPNL1Loss=0.108624, RCNNAcc=0.807247, RCNNLogLoss=0.671177, RCNNL1Loss=0.284811,
2018-10-22 19:03:07,747 Epoch[0] Batch [9800] Speed: 7.02 samples/sec Train-RPNAcc=0.976109, RPNLogLoss=0.072117, RPNL1Loss=0.108447, RCNNAcc=0.807324, RCNNLogLoss=0.669661, RCNNL1Loss=0.284536,
2018-10-22 19:04:03,893 Epoch[0] Batch [9900] Speed: 7.12 samples/sec Train-RPNAcc=0.976155, RPNLogLoss=0.072016, RPNL1Loss=0.108256, RCNNAcc=0.807719, RCNNLogLoss=0.667492, RCNNL1Loss=0.284054,
2018-10-22 19:05:03,251 Epoch[0] Batch [10000] Speed: 6.74 samples/sec Train-RPNAcc=0.976211, RPNLogLoss=0.071852, RPNL1Loss=0.107913, RCNNAcc=0.807987, RCNNLogLoss=0.665695, RCNNL1Loss=0.283605,
2018-10-22 19:06:01,678 Epoch[0] Batch [10100] Speed: 6.85 samples/sec Train-RPNAcc=0.976277, RPNLogLoss=0.071644, RPNL1Loss=0.107736, RCNNAcc=0.808228, RCNNLogLoss=0.663854, RCNNL1Loss=0.283230,
2018-10-22 19:06:56,506 Epoch[0] Batch [10200] Speed: 7.30 samples/sec Train-RPNAcc=0.976319, RPNLogLoss=0.071552, RPNL1Loss=0.107667, RCNNAcc=0.808346, RCNNLogLoss=0.662457, RCNNL1Loss=0.283096,
2018-10-22 19:07:54,112 Epoch[0] Batch [10300] Speed: 6.94 samples/sec Train-RPNAcc=0.976373, RPNLogLoss=0.071400, RPNL1Loss=0.107377, RCNNAcc=0.808535, RCNNLogLoss=0.660994, RCNNL1Loss=0.282886,
2018-10-22 19:08:48,628 Epoch[0] Batch [10400] Speed: 7.34 samples/sec Train-RPNAcc=0.976452, RPNLogLoss=0.071155, RPNL1Loss=0.107139, RCNNAcc=0.808638, RCNNLogLoss=0.659672, RCNNL1Loss=0.282607,
2018-10-22 19:09:45,700 Epoch[0] Batch [10500] Speed: 7.01 samples/sec Train-RPNAcc=0.976522, RPNLogLoss=0.070939, RPNL1Loss=0.106851, RCNNAcc=0.808716, RCNNLogLoss=0.658439, RCNNL1Loss=0.282524,
2018-10-22 19:10:42,741 Epoch[0] Batch [10600] Speed: 7.01 samples/sec Train-RPNAcc=0.976572, RPNLogLoss=0.070788, RPNL1Loss=0.106760, RCNNAcc=0.808791, RCNNLogLoss=0.657294, RCNNL1Loss=0.282430,
2018-10-22 19:11:36,867 Epoch[0] Batch [10700] Speed: 7.39 samples/sec Train-RPNAcc=0.976620, RPNLogLoss=0.070621, RPNL1Loss=0.106590, RCNNAcc=0.808954, RCNNLogLoss=0.655958, RCNNL1Loss=0.282256,
2018-10-22 19:12:36,231 Epoch[0] Batch [10800] Speed: 6.74 samples/sec Train-RPNAcc=0.976691, RPNLogLoss=0.070405, RPNL1Loss=0.106494, RCNNAcc=0.808993, RCNNLogLoss=0.655048, RCNNL1Loss=0.282220,
2018-10-22 19:13:32,119 Epoch[0] Batch [10900] Speed: 7.16 samples/sec Train-RPNAcc=0.976741, RPNLogLoss=0.070220, RPNL1Loss=0.106304, RCNNAcc=0.809082, RCNNLogLoss=0.653940, RCNNL1Loss=0.282005,
2018-10-22 19:14:29,208 Epoch[0] Batch [11000] Speed: 7.01 samples/sec Train-RPNAcc=0.976774, RPNLogLoss=0.070126, RPNL1Loss=0.106247, RCNNAcc=0.809314, RCNNLogLoss=0.652297, RCNNL1Loss=0.281795,
2018-10-22 19:15:27,147 Epoch[0] Batch [11100] Speed: 6.90 samples/sec Train-RPNAcc=0.976817, RPNLogLoss=0.069963, RPNL1Loss=0.105994, RCNNAcc=0.809440, RCNNLogLoss=0.651111, RCNNL1Loss=0.281550,
2018-10-22 19:16:25,931 Epoch[0] Batch [11200] Speed: 6.80 samples/sec Train-RPNAcc=0.976862, RPNLogLoss=0.069788, RPNL1Loss=0.105757, RCNNAcc=0.809403, RCNNLogLoss=0.650330, RCNNL1Loss=0.281537,
2018-10-22 19:17:23,196 Epoch[0] Batch [11300] Speed: 6.99 samples/sec Train-RPNAcc=0.976914, RPNLogLoss=0.069631, RPNL1Loss=0.105592, RCNNAcc=0.809344, RCNNLogLoss=0.649526, RCNNL1Loss=0.281525,
2018-10-22 19:18:20,025 Epoch[0] Batch [11400] Speed: 7.04 samples/sec Train-RPNAcc=0.976977, RPNLogLoss=0.069424, RPNL1Loss=0.105332, RCNNAcc=0.809298, RCNNLogLoss=0.648817, RCNNL1Loss=0.281588,
2018-10-22 19:19:14,893 Epoch[0] Batch [11500] Speed: 7.29 samples/sec Train-RPNAcc=0.977024, RPNLogLoss=0.069285, RPNL1Loss=0.105286, RCNNAcc=0.809373, RCNNLogLoss=0.647720, RCNNL1Loss=0.281366,
2018-10-22 19:20:12,612 Epoch[0] Batch [11600] Speed: 6.93 samples/sec Train-RPNAcc=0.977067, RPNLogLoss=0.069182, RPNL1Loss=0.105140, RCNNAcc=0.809500, RCNNLogLoss=0.646613, RCNNL1Loss=0.281156,
2018-10-22 19:21:07,511 Epoch[0] Batch [11700] Speed: 7.29 samples/sec Train-RPNAcc=0.977107, RPNLogLoss=0.069074, RPNL1Loss=0.104920, RCNNAcc=0.809523, RCNNLogLoss=0.645700, RCNNL1Loss=0.281076,
2018-10-22 19:22:03,584 Epoch[0] Batch [11800] Speed: 7.13 samples/sec Train-RPNAcc=0.977170, RPNLogLoss=0.068899, RPNL1Loss=0.104713, RCNNAcc=0.809362, RCNNLogLoss=0.645178, RCNNL1Loss=0.281381,
2018-10-22 19:23:01,259 Epoch[0] Batch [11900] Speed: 6.94 samples/sec Train-RPNAcc=0.977223, RPNLogLoss=0.068754, RPNL1Loss=0.104563, RCNNAcc=0.809504, RCNNLogLoss=0.643877, RCNNL1Loss=0.281179,
2018-10-22 19:23:57,656 Epoch[0] Batch [12000] Speed: 7.09 samples/sec Train-RPNAcc=0.977251, RPNLogLoss=0.068667, RPNL1Loss=0.104393, RCNNAcc=0.809608, RCNNLogLoss=0.642786, RCNNL1Loss=0.281085,
2018-10-22 19:24:57,321 Epoch[0] Batch [12100] Speed: 6.70 samples/sec Train-RPNAcc=0.977278, RPNLogLoss=0.068568, RPNL1Loss=0.104353, RCNNAcc=0.809808, RCNNLogLoss=0.641343, RCNNL1Loss=0.280774,
2018-10-22 19:25:54,298 Epoch[0] Batch [12200] Speed: 7.02 samples/sec Train-RPNAcc=0.977333, RPNLogLoss=0.068435, RPNL1Loss=0.104152, RCNNAcc=0.810016, RCNNLogLoss=0.639999, RCNNL1Loss=0.280281,
2018-10-22 19:26:51,635 Epoch[0] Batch [12300] Speed: 6.98 samples/sec Train-RPNAcc=0.977387, RPNLogLoss=0.068277, RPNL1Loss=0.104024, RCNNAcc=0.810046, RCNNLogLoss=0.639174, RCNNL1Loss=0.280324,
2018-10-22 19:27:49,968 Epoch[0] Batch [12400] Speed: 6.86 samples/sec Train-RPNAcc=0.977416, RPNLogLoss=0.068206, RPNL1Loss=0.103991, RCNNAcc=0.809819, RCNNLogLoss=0.639103, RCNNL1Loss=0.280592,
2018-10-22 19:29:02,935 Epoch[0] Batch [12500] Speed: 5.48 samples/sec Train-RPNAcc=0.977443, RPNLogLoss=0.068119, RPNL1Loss=0.103860, RCNNAcc=0.809778, RCNNLogLoss=0.638511, RCNNL1Loss=0.280603,
2018-10-22 19:30:19,169 Epoch[0] Batch [12600] Speed: 5.25 samples/sec Train-RPNAcc=0.977475, RPNLogLoss=0.068010, RPNL1Loss=0.103777, RCNNAcc=0.809775, RCNNLogLoss=0.637700, RCNNL1Loss=0.280596,
2018-10-22 19:31:16,675 Epoch[0] Batch [12700] Speed: 6.96 samples/sec Train-RPNAcc=0.977505, RPNLogLoss=0.067912, RPNL1Loss=0.103799, RCNNAcc=0.809829, RCNNLogLoss=0.636766, RCNNL1Loss=0.280545,
2018-10-22 19:32:13,640 Epoch[0] Batch [12800] Speed: 7.02 samples/sec Train-RPNAcc=0.977548, RPNLogLoss=0.067768, RPNL1Loss=0.103672, RCNNAcc=0.809860, RCNNLogLoss=0.635937, RCNNL1Loss=0.280468,
2018-10-22 19:33:11,065 Epoch[0] Batch [12900] Speed: 6.97 samples/sec Train-RPNAcc=0.977588, RPNLogLoss=0.067657, RPNL1Loss=0.103530, RCNNAcc=0.809825, RCNNLogLoss=0.635264, RCNNL1Loss=0.280438,
2018-10-22 19:34:05,288 Epoch[0] Batch [13000] Speed: 7.38 samples/sec Train-RPNAcc=0.977648, RPNLogLoss=0.067496, RPNL1Loss=0.103441, RCNNAcc=0.809990, RCNNLogLoss=0.634003, RCNNL1Loss=0.280258,
2018-10-22 19:35:03,649 Epoch[0] Batch [13100] Speed: 6.85 samples/sec Train-RPNAcc=0.977695, RPNLogLoss=0.067352, RPNL1Loss=0.103336, RCNNAcc=0.810185, RCNNLogLoss=0.632587, RCNNL1Loss=0.279968,
2018-10-22 19:35:59,505 Epoch[0] Batch [13200] Speed: 7.16 samples/sec Train-RPNAcc=0.977733, RPNLogLoss=0.067215, RPNL1Loss=0.103193, RCNNAcc=0.810193, RCNNLogLoss=0.631811, RCNNL1Loss=0.279916,
2018-10-22 19:36:56,549 Epoch[0] Batch [13300] Speed: 7.01 samples/sec Train-RPNAcc=0.977782, RPNLogLoss=0.067078, RPNL1Loss=0.103041, RCNNAcc=0.810299, RCNNLogLoss=0.630725, RCNNL1Loss=0.279692,
2018-10-22 19:37:52,342 Epoch[0] Batch [13400] Speed: 7.17 samples/sec Train-RPNAcc=0.977846, RPNLogLoss=0.066911, RPNL1Loss=0.102895, RCNNAcc=0.810396, RCNNLogLoss=0.629890, RCNNL1Loss=0.279422,
2018-10-22 19:38:52,209 Epoch[0] Batch [13500] Speed: 6.68 samples/sec Train-RPNAcc=0.977881, RPNLogLoss=0.066833, RPNL1Loss=0.102855, RCNNAcc=0.810639, RCNNLogLoss=0.628717, RCNNL1Loss=0.279042,
2018-10-22 19:39:48,700 Epoch[0] Batch [13600] Speed: 7.08 samples/sec Train-RPNAcc=0.977923, RPNLogLoss=0.066725, RPNL1Loss=0.102778, RCNNAcc=0.810817, RCNNLogLoss=0.627586, RCNNL1Loss=0.278769,
2018-10-22 19:40:43,792 Epoch[0] Batch [13700] Speed: 7.26 samples/sec Train-RPNAcc=0.977966, RPNLogLoss=0.066600, RPNL1Loss=0.102627, RCNNAcc=0.811012, RCNNLogLoss=0.626413, RCNNL1Loss=0.278451,
2018-10-22 19:41:42,213 Epoch[0] Batch [13800] Speed: 6.85 samples/sec Train-RPNAcc=0.978008, RPNLogLoss=0.066479, RPNL1Loss=0.102526, RCNNAcc=0.811026, RCNNLogLoss=0.625691, RCNNL1Loss=0.278384,
2018-10-22 19:42:35,911 Epoch[0] Batch [13900] Speed: 7.45 samples/sec Train-RPNAcc=0.978063, RPNLogLoss=0.066318, RPNL1Loss=0.102323, RCNNAcc=0.810960, RCNNLogLoss=0.625264, RCNNL1Loss=0.278341,
2018-10-22 19:43:30,816 Epoch[0] Batch [14000] Speed: 7.29 samples/sec Train-RPNAcc=0.978097, RPNLogLoss=0.066218, RPNL1Loss=0.102131, RCNNAcc=0.811140, RCNNLogLoss=0.624043, RCNNL1Loss=0.278142,
2018-10-22 19:44:25,872 Epoch[0] Batch [14100] Speed: 7.27 samples/sec Train-RPNAcc=0.978147, RPNLogLoss=0.066090, RPNL1Loss=0.101959, RCNNAcc=0.811330, RCNNLogLoss=0.622984, RCNNL1Loss=0.277831,
2018-10-22 19:45:25,237 Epoch[0] Batch [14200] Speed: 6.74 samples/sec Train-RPNAcc=0.978181, RPNLogLoss=0.065960, RPNL1Loss=0.101935, RCNNAcc=0.811471, RCNNLogLoss=0.621940, RCNNL1Loss=0.277597,
2018-10-22 19:46:26,261 Epoch[0] Batch [14300] Speed: 6.55 samples/sec Train-RPNAcc=0.978212, RPNLogLoss=0.065881, RPNL1Loss=0.101859, RCNNAcc=0.811523, RCNNLogLoss=0.621302, RCNNL1Loss=0.277470,
2018-10-22 19:47:22,639 Epoch[0] Batch [14400] Speed: 7.09 samples/sec Train-RPNAcc=0.978245, RPNLogLoss=0.065780, RPNL1Loss=0.101673, RCNNAcc=0.811660, RCNNLogLoss=0.620349, RCNNL1Loss=0.277245,
2018-10-22 19:48:20,000 Epoch[0] Batch [14500] Speed: 6.97 samples/sec Train-RPNAcc=0.978297, RPNLogLoss=0.065626, RPNL1Loss=0.101491, RCNNAcc=0.811753, RCNNLogLoss=0.619538, RCNNL1Loss=0.277152,
2018-10-22 19:49:14,572 Epoch[0] Batch [14600] Speed: 7.33 samples/sec Train-RPNAcc=0.978337, RPNLogLoss=0.065502, RPNL1Loss=0.101370, RCNNAcc=0.811948, RCNNLogLoss=0.618407, RCNNL1Loss=0.276827,
2018-10-22 19:50:11,942 Epoch[0] Batch [14700] Speed: 6.97 samples/sec Train-RPNAcc=0.978383, RPNLogLoss=0.065367, RPNL1Loss=0.101254, RCNNAcc=0.812248, RCNNLogLoss=0.616955, RCNNL1Loss=0.276345,
2018-10-22 19:51:07,858 Epoch[0] Batch [14800] Speed: 7.15 samples/sec Train-RPNAcc=0.978403, RPNLogLoss=0.065307, RPNL1Loss=0.101232, RCNNAcc=0.812361, RCNNLogLoss=0.616078, RCNNL1Loss=0.276027,
2018-10-22 19:52:02,599 Epoch[0] Batch [14900] Speed: 7.31 samples/sec Train-RPNAcc=0.978451, RPNLogLoss=0.065171, RPNL1Loss=0.101158, RCNNAcc=0.812548, RCNNLogLoss=0.614984, RCNNL1Loss=0.275659,
2018-10-22 19:53:01,189 Epoch[0] Batch [15000] Speed: 6.83 samples/sec Train-RPNAcc=0.978477, RPNLogLoss=0.065095, RPNL1Loss=0.101034, RCNNAcc=0.812724, RCNNLogLoss=0.613948, RCNNL1Loss=0.275427,
2018-10-22 19:53:58,268 Epoch[0] Batch [15100] Speed: 7.01 samples/sec Train-RPNAcc=0.978516, RPNLogLoss=0.065001, RPNL1Loss=0.100964, RCNNAcc=0.812951, RCNNLogLoss=0.612799, RCNNL1Loss=0.275142,
2018-10-22 19:54:53,829 Epoch[0] Batch [15200] Speed: 7.20 samples/sec Train-RPNAcc=0.978544, RPNLogLoss=0.064923, RPNL1Loss=0.100818, RCNNAcc=0.813071, RCNNLogLoss=0.611851, RCNNL1Loss=0.275005,
2018-10-22 19:55:50,279 Epoch[0] Batch [15300] Speed: 7.09 samples/sec Train-RPNAcc=0.978578, RPNLogLoss=0.064806, RPNL1Loss=0.100635, RCNNAcc=0.813158, RCNNLogLoss=0.611035, RCNNL1Loss=0.274961,
2018-10-22 19:56:47,731 Epoch[0] Batch [15400] Speed: 6.96 samples/sec Train-RPNAcc=0.978618, RPNLogLoss=0.064667, RPNL1Loss=0.100482, RCNNAcc=0.813258, RCNNLogLoss=0.610349, RCNNL1Loss=0.274729,
2018-10-22 19:57:46,727 Epoch[0] Batch [15500] Speed: 6.78 samples/sec Train-RPNAcc=0.978652, RPNLogLoss=0.064543, RPNL1Loss=0.100380, RCNNAcc=0.813407, RCNNLogLoss=0.609384, RCNNL1Loss=0.274408,
2018-10-22 19:59:09,194 Epoch[0] Batch [15600] Speed: 4.85 samples/sec Train-RPNAcc=0.978697, RPNLogLoss=0.064407, RPNL1Loss=0.100182, RCNNAcc=0.813590, RCNNLogLoss=0.608471, RCNNL1Loss=0.274087,
2018-10-22 20:00:16,457 Epoch[0] Batch [15700] Speed: 5.95 samples/sec Train-RPNAcc=0.978733, RPNLogLoss=0.064296, RPNL1Loss=0.100114, RCNNAcc=0.813598, RCNNLogLoss=0.607984, RCNNL1Loss=0.274009,
2018-10-22 20:01:13,371 Epoch[0] Batch [15800] Speed: 7.03 samples/sec Train-RPNAcc=0.978783, RPNLogLoss=0.064136, RPNL1Loss=0.099966, RCNNAcc=0.813672, RCNNLogLoss=0.607253, RCNNL1Loss=0.273926,
2018-10-22 20:02:11,024 Epoch[0] Batch [15900] Speed: 6.94 samples/sec Train-RPNAcc=0.978825, RPNLogLoss=0.064002, RPNL1Loss=0.099764, RCNNAcc=0.813805, RCNNLogLoss=0.606335, RCNNL1Loss=0.273656,
2018-10-22 20:03:06,696 Epoch[0] Batch [16000] Speed: 7.19 samples/sec Train-RPNAcc=0.978856, RPNLogLoss=0.063915, RPNL1Loss=0.099740, RCNNAcc=0.813997, RCNNLogLoss=0.605390, RCNNL1Loss=0.273416,
2018-10-22 20:04:03,027 Epoch[0] Batch [16100] Speed: 7.10 samples/sec Train-RPNAcc=0.978899, RPNLogLoss=0.063789, RPNL1Loss=0.099745, RCNNAcc=0.814130, RCNNLogLoss=0.604450, RCNNL1Loss=0.273181,
2018-10-22 20:05:00,757 Epoch[0] Batch [16200] Speed: 6.93 samples/sec Train-RPNAcc=0.978938, RPNLogLoss=0.063700, RPNL1Loss=0.099565, RCNNAcc=0.814335, RCNNLogLoss=0.603433, RCNNL1Loss=0.272950,
2018-10-22 20:05:58,796 Epoch[0] Batch [16300] Speed: 6.89 samples/sec Train-RPNAcc=0.978978, RPNLogLoss=0.063607, RPNL1Loss=0.099404, RCNNAcc=0.814529, RCNNLogLoss=0.602409, RCNNL1Loss=0.272661,
2018-10-22 20:06:56,148 Epoch[0] Batch [16400] Speed: 6.97 samples/sec Train-RPNAcc=0.979023, RPNLogLoss=0.063480, RPNL1Loss=0.099226, RCNNAcc=0.814651, RCNNLogLoss=0.601596, RCNNL1Loss=0.272432,
2018-10-22 20:07:50,197 Epoch[0] Batch [16500] Speed: 7.40 samples/sec Train-RPNAcc=0.979070, RPNLogLoss=0.063344, RPNL1Loss=0.099087, RCNNAcc=0.814766, RCNNLogLoss=0.600855, RCNNL1Loss=0.272243,
2018-10-22 20:08:46,845 Epoch[0] Batch [16600] Speed: 7.06 samples/sec Train-RPNAcc=0.979104, RPNLogLoss=0.063255, RPNL1Loss=0.099107, RCNNAcc=0.815021, RCNNLogLoss=0.599667, RCNNL1Loss=0.271915,
2018-10-22 20:09:41,619 Epoch[0] Batch [16700] Speed: 7.30 samples/sec Train-RPNAcc=0.979143, RPNLogLoss=0.063151, RPNL1Loss=0.098948, RCNNAcc=0.815345, RCNNLogLoss=0.598304, RCNNL1Loss=0.271365,
2018-10-22 20:10:36,716 Epoch[0] Batch [16800] Speed: 7.26 samples/sec Train-RPNAcc=0.979186, RPNLogLoss=0.063035, RPNL1Loss=0.098760, RCNNAcc=0.815546, RCNNLogLoss=0.597287, RCNNL1Loss=0.271030,
2018-10-22 20:11:32,033 Epoch[0] Batch [16900] Speed: 7.23 samples/sec Train-RPNAcc=0.979236, RPNLogLoss=0.062882, RPNL1Loss=0.098625, RCNNAcc=0.815769, RCNNLogLoss=0.596164, RCNNL1Loss=0.270689,
2018-10-22 20:12:28,627 Epoch[0] Batch [17000] Speed: 7.07 samples/sec Train-RPNAcc=0.979283, RPNLogLoss=0.062743, RPNL1Loss=0.098464, RCNNAcc=0.815832, RCNNLogLoss=0.595478, RCNNL1Loss=0.270515,
2018-10-22 20:13:23,370 Epoch[0] Batch [17100] Speed: 7.31 samples/sec Train-RPNAcc=0.979311, RPNLogLoss=0.062686, RPNL1Loss=0.098401, RCNNAcc=0.815965, RCNNLogLoss=0.594680, RCNNL1Loss=0.270251,
2018-10-22 20:14:19,988 Epoch[0] Batch [17200] Speed: 7.06 samples/sec Train-RPNAcc=0.979330, RPNLogLoss=0.062631, RPNL1Loss=0.098293, RCNNAcc=0.816143, RCNNLogLoss=0.593862, RCNNL1Loss=0.269895,
2018-10-22 20:15:17,413 Epoch[0] Batch [17300] Speed: 6.97 samples/sec Train-RPNAcc=0.979359, RPNLogLoss=0.062532, RPNL1Loss=0.098178, RCNNAcc=0.816305, RCNNLogLoss=0.593044, RCNNL1Loss=0.269628,
2018-10-22 20:16:13,394 Epoch[0] Batch [17400] Speed: 7.15 samples/sec Train-RPNAcc=0.979413, RPNLogLoss=0.062374, RPNL1Loss=0.097975, RCNNAcc=0.816486, RCNNLogLoss=0.592147, RCNNL1Loss=0.269339,
2018-10-22 20:17:12,983 Epoch[0] Batch [17500] Speed: 6.71 samples/sec Train-RPNAcc=0.979448, RPNLogLoss=0.062277, RPNL1Loss=0.097892, RCNNAcc=0.816678, RCNNLogLoss=0.591267, RCNNL1Loss=0.269009,
2018-10-22 20:18:11,161 Epoch[0] Batch [17600] Speed: 6.88 samples/sec Train-RPNAcc=0.979470, RPNLogLoss=0.062223, RPNL1Loss=0.097817, RCNNAcc=0.816902, RCNNLogLoss=0.590281, RCNNL1Loss=0.268719,
2018-10-22 20:19:05,975 Epoch[0] Batch [17700] Speed: 7.30 samples/sec Train-RPNAcc=0.979507, RPNLogLoss=0.062091, RPNL1Loss=0.097675, RCNNAcc=0.816891, RCNNLogLoss=0.589913, RCNNL1Loss=0.268665,
2018-10-22 20:20:03,876 Epoch[0] Batch [17800] Speed: 6.91 samples/sec Train-RPNAcc=0.979525, RPNLogLoss=0.062033, RPNL1Loss=0.097613, RCNNAcc=0.816937, RCNNLogLoss=0.589400, RCNNL1Loss=0.268539,
2018-10-22 20:20:58,372 Epoch[0] Batch [17900] Speed: 7.34 samples/sec Train-RPNAcc=0.979558, RPNLogLoss=0.061952, RPNL1Loss=0.097462, RCNNAcc=0.817077, RCNNLogLoss=0.588562, RCNNL1Loss=0.268331,
2018-10-22 20:21:56,621 Epoch[0] Batch [18000] Speed: 6.87 samples/sec Train-RPNAcc=0.979591, RPNLogLoss=0.061860, RPNL1Loss=0.097382, RCNNAcc=0.817285, RCNNLogLoss=0.587649, RCNNL1Loss=0.267959,
2018-10-22 20:22:52,660 Epoch[0] Batch [18100] Speed: 7.14 samples/sec Train-RPNAcc=0.979621, RPNLogLoss=0.061766, RPNL1Loss=0.097230, RCNNAcc=0.817483, RCNNLogLoss=0.586648, RCNNL1Loss=0.267534,
2018-10-22 20:23:49,579 Epoch[0] Batch [18200] Speed: 7.03 samples/sec Train-RPNAcc=0.979663, RPNLogLoss=0.061636, RPNL1Loss=0.097052, RCNNAcc=0.817706, RCNNLogLoss=0.585538, RCNNL1Loss=0.267114,
2018-10-22 20:24:47,767 Epoch[0] Batch [18300] Speed: 6.87 samples/sec Train-RPNAcc=0.979708, RPNLogLoss=0.061493, RPNL1Loss=0.096903, RCNNAcc=0.817864, RCNNLogLoss=0.584721, RCNNL1Loss=0.266850,
2018-10-22 20:25:41,524 Epoch[0] Batch [18400] Speed: 7.44 samples/sec Train-RPNAcc=0.979758, RPNLogLoss=0.061351, RPNL1Loss=0.096769, RCNNAcc=0.818061, RCNNLogLoss=0.583759, RCNNL1Loss=0.266517,
2018-10-22 20:26:41,634 Epoch[0] Batch [18500] Speed: 6.65 samples/sec Train-RPNAcc=0.979775, RPNLogLoss=0.061298, RPNL1Loss=0.096660, RCNNAcc=0.818228, RCNNLogLoss=0.582911, RCNNL1Loss=0.266199,
2018-10-22 20:27:43,635 Epoch[0] Batch [18600] Speed: 6.45 samples/sec Train-RPNAcc=0.979797, RPNLogLoss=0.061243, RPNL1Loss=0.096495, RCNNAcc=0.818423, RCNNLogLoss=0.582030, RCNNL1Loss=0.265910,
2018-10-22 20:28:50,455 Epoch[0] Batch [18700] Speed: 5.99 samples/sec Train-RPNAcc=0.979827, RPNLogLoss=0.061143, RPNL1Loss=0.096356, RCNNAcc=0.818552, RCNNLogLoss=0.581252, RCNNL1Loss=0.265739,
2018-10-22 20:30:06,584 Epoch[0] Batch [18800] Speed: 5.25 samples/sec Train-RPNAcc=0.979866, RPNLogLoss=0.061035, RPNL1Loss=0.096207, RCNNAcc=0.818688, RCNNLogLoss=0.580530, RCNNL1Loss=0.265528,
2018-10-22 20:31:16,220 Epoch[0] Batch [18900] Speed: 5.74 samples/sec Train-RPNAcc=0.979893, RPNLogLoss=0.060936, RPNL1Loss=0.096146, RCNNAcc=0.818757, RCNNLogLoss=0.580002, RCNNL1Loss=0.265414,
2018-10-22 20:32:10,491 Epoch[0] Batch [19000] Speed: 7.37 samples/sec Train-RPNAcc=0.979929, RPNLogLoss=0.060839, RPNL1Loss=0.096055, RCNNAcc=0.818983, RCNNLogLoss=0.579028, RCNNL1Loss=0.265056,
2018-10-22 20:33:05,570 Epoch[0] Batch [19100] Speed: 7.26 samples/sec Train-RPNAcc=0.979962, RPNLogLoss=0.060751, RPNL1Loss=0.095993, RCNNAcc=0.819160, RCNNLogLoss=0.578231, RCNNL1Loss=0.264778,
2018-10-22 20:34:01,921 Epoch[0] Batch [19200] Speed: 7.10 samples/sec Train-RPNAcc=0.979999, RPNLogLoss=0.060639, RPNL1Loss=0.095846, RCNNAcc=0.819334, RCNNLogLoss=0.577391, RCNNL1Loss=0.264487,
2018-10-22 20:35:01,181 Epoch[0] Batch [19300] Speed: 6.75 samples/sec Train-RPNAcc=0.980025, RPNLogLoss=0.060566, RPNL1Loss=0.095764, RCNNAcc=0.819354, RCNNLogLoss=0.576957, RCNNL1Loss=0.264432,
2018-10-22 20:35:57,871 Epoch[0] Batch [19400] Speed: 7.06 samples/sec Train-RPNAcc=0.980063, RPNLogLoss=0.060456, RPNL1Loss=0.095663, RCNNAcc=0.819506, RCNNLogLoss=0.576109, RCNNL1Loss=0.264199,
2018-10-22 20:36:51,763 Epoch[0] Batch [19500] Speed: 7.42 samples/sec Train-RPNAcc=0.980098, RPNLogLoss=0.060354, RPNL1Loss=0.095510, RCNNAcc=0.819659, RCNNLogLoss=0.575442, RCNNL1Loss=0.263889,
2018-10-22 20:37:48,988 Epoch[0] Batch [19600] Speed: 6.99 samples/sec Train-RPNAcc=0.980133, RPNLogLoss=0.060246, RPNL1Loss=0.095382, RCNNAcc=0.819858, RCNNLogLoss=0.574591, RCNNL1Loss=0.263556,
2018-10-22 20:38:44,305 Epoch[0] Batch [19700] Speed: 7.23 samples/sec Train-RPNAcc=0.980172, RPNLogLoss=0.060125, RPNL1Loss=0.095233, RCNNAcc=0.820001, RCNNLogLoss=0.573829, RCNNL1Loss=0.263367,
2018-10-22 20:39:40,857 Epoch[0] Batch [19800] Speed: 7.07 samples/sec Train-RPNAcc=0.980201, RPNLogLoss=0.060053, RPNL1Loss=0.095132, RCNNAcc=0.820175, RCNNLogLoss=0.573005, RCNNL1Loss=0.263109,
2018-10-22 20:40:35,415 Epoch[0] Batch [19900] Speed: 7.33 samples/sec Train-RPNAcc=0.980219, RPNLogLoss=0.060001, RPNL1Loss=0.095019, RCNNAcc=0.820287, RCNNLogLoss=0.572342, RCNNL1Loss=0.262875,
2018-10-22 20:41:31,203 Epoch[0] Batch [20000] Speed: 7.17 samples/sec Train-RPNAcc=0.980256, RPNLogLoss=0.059912, RPNL1Loss=0.094897, RCNNAcc=0.820487, RCNNLogLoss=0.571498, RCNNL1Loss=0.262515,
2018-10-22 20:42:26,639 Epoch[0] Batch [20100] Speed: 7.22 samples/sec Train-RPNAcc=0.980291, RPNLogLoss=0.059810, RPNL1Loss=0.094749, RCNNAcc=0.820663, RCNNLogLoss=0.570690, RCNNL1Loss=0.262205,
2018-10-22 20:43:23,803 Epoch[0] Batch [20200] Speed: 7.00 samples/sec Train-RPNAcc=0.980321, RPNLogLoss=0.059714, RPNL1Loss=0.094621, RCNNAcc=0.820750, RCNNLogLoss=0.570057, RCNNL1Loss=0.262057,
2018-10-22 20:44:20,999 Epoch[0] Batch [20300] Speed: 6.99 samples/sec Train-RPNAcc=0.980340, RPNLogLoss=0.059654, RPNL1Loss=0.094536, RCNNAcc=0.820848, RCNNLogLoss=0.569530, RCNNL1Loss=0.261857,
2018-10-22 20:45:18,443 Epoch[0] Batch [20400] Speed: 6.96 samples/sec Train-RPNAcc=0.980364, RPNLogLoss=0.059567, RPNL1Loss=0.094532, RCNNAcc=0.820834, RCNNLogLoss=0.569162, RCNNL1Loss=0.261840,
2018-10-22 20:46:14,065 Epoch[0] Batch [20500] Speed: 7.19 samples/sec Train-RPNAcc=0.980388, RPNLogLoss=0.059505, RPNL1Loss=0.094378, RCNNAcc=0.820930, RCNNLogLoss=0.568569, RCNNL1Loss=0.261642,
2018-10-22 20:47:08,461 Epoch[0] Batch [20600] Speed: 7.35 samples/sec Train-RPNAcc=0.980411, RPNLogLoss=0.059446, RPNL1Loss=0.094264, RCNNAcc=0.821026, RCNNLogLoss=0.567966, RCNNL1Loss=0.261467,
2018-10-22 20:48:03,344 Epoch[0] Batch [20700] Speed: 7.29 samples/sec Train-RPNAcc=0.980429, RPNLogLoss=0.059387, RPNL1Loss=0.094168, RCNNAcc=0.821125, RCNNLogLoss=0.567398, RCNNL1Loss=0.261269,
2018-10-22 20:48:58,412 Epoch[0] Batch [20800] Speed: 7.26 samples/sec Train-RPNAcc=0.980456, RPNLogLoss=0.059306, RPNL1Loss=0.094040, RCNNAcc=0.821210, RCNNLogLoss=0.566815, RCNNL1Loss=0.261098,
2018-10-22 20:49:54,811 Epoch[0] Batch [20900] Speed: 7.09 samples/sec Train-RPNAcc=0.980474, RPNLogLoss=0.059248, RPNL1Loss=0.093966, RCNNAcc=0.821255, RCNNLogLoss=0.566376, RCNNL1Loss=0.261075,
2018-10-22 20:50:51,810 Epoch[0] Batch [21000] Speed: 7.02 samples/sec Train-RPNAcc=0.980486, RPNLogLoss=0.059225, RPNL1Loss=0.093905, RCNNAcc=0.821406, RCNNLogLoss=0.565709, RCNNL1Loss=0.260920,
2018-10-22 20:51:46,835 Epoch[0] Batch [21100] Speed: 7.27 samples/sec Train-RPNAcc=0.980512, RPNLogLoss=0.059135, RPNL1Loss=0.093750, RCNNAcc=0.821487, RCNNLogLoss=0.565127, RCNNL1Loss=0.260785,
2018-10-22 20:52:44,164 Epoch[0] Batch [21200] Speed: 6.98 samples/sec Train-RPNAcc=0.980539, RPNLogLoss=0.059049, RPNL1Loss=0.093697, RCNNAcc=0.821649, RCNNLogLoss=0.564337, RCNNL1Loss=0.260539,
2018-10-22 20:53:36,840 Epoch[0] Batch [21300] Speed: 7.59 samples/sec Train-RPNAcc=0.980567, RPNLogLoss=0.058971, RPNL1Loss=0.093573, RCNNAcc=0.821766, RCNNLogLoss=0.563734, RCNNL1Loss=0.260356,
2018-10-22 20:54:32,562 Epoch[0] Batch [21400] Speed: 7.18 samples/sec Train-RPNAcc=0.980596, RPNLogLoss=0.058887, RPNL1Loss=0.093463, RCNNAcc=0.821845, RCNNLogLoss=0.563229, RCNNL1Loss=0.260232,
2018-10-22 20:55:26,635 Epoch[0] Batch [21500] Speed: 7.40 samples/sec Train-RPNAcc=0.980622, RPNLogLoss=0.058793, RPNL1Loss=0.093394, RCNNAcc=0.821937, RCNNLogLoss=0.562628, RCNNL1Loss=0.260025,
2018-10-22 20:56:26,996 Epoch[0] Batch [21600] Speed: 6.63 samples/sec Train-RPNAcc=0.980646, RPNLogLoss=0.058725, RPNL1Loss=0.093303, RCNNAcc=0.822044, RCNNLogLoss=0.561993, RCNNL1Loss=0.259860,
2018-10-22 20:57:38,930 Epoch[0] Batch [21700] Speed: 5.56 samples/sec Train-RPNAcc=0.980674, RPNLogLoss=0.058638, RPNL1Loss=0.093241, RCNNAcc=0.822177, RCNNLogLoss=0.561317, RCNNL1Loss=0.259626,
2018-10-22 20:58:53,111 Epoch[0] Batch [21800] Speed: 5.39 samples/sec Train-RPNAcc=0.980706, RPNLogLoss=0.058542, RPNL1Loss=0.093143, RCNNAcc=0.822287, RCNNLogLoss=0.560760, RCNNL1Loss=0.259413,
2018-10-22 20:59:58,902 Epoch[0] Batch [21900] Speed: 6.08 samples/sec Train-RPNAcc=0.980718, RPNLogLoss=0.058496, RPNL1Loss=0.093064, RCNNAcc=0.822344, RCNNLogLoss=0.560240, RCNNL1Loss=0.259348,
2018-10-22 21:00:54,512 Epoch[0] Batch [22000] Speed: 7.19 samples/sec Train-RPNAcc=0.980742, RPNLogLoss=0.058436, RPNL1Loss=0.092970, RCNNAcc=0.822370, RCNNLogLoss=0.559937, RCNNL1Loss=0.259269,
2018-10-22 21:01:48,761 Epoch[0] Batch [22100] Speed: 7.37 samples/sec Train-RPNAcc=0.980771, RPNLogLoss=0.058359, RPNL1Loss=0.092917, RCNNAcc=0.822506, RCNNLogLoss=0.559267, RCNNL1Loss=0.259053,
2018-10-22 21:02:45,606 Epoch[0] Batch [22200] Speed: 7.04 samples/sec Train-RPNAcc=0.980787, RPNLogLoss=0.058306, RPNL1Loss=0.092858, RCNNAcc=0.822608, RCNNLogLoss=0.558686, RCNNL1Loss=0.258867,
2018-10-22 21:03:40,748 Epoch[0] Batch [22300] Speed: 7.25 samples/sec Train-RPNAcc=0.980797, RPNLogLoss=0.058280, RPNL1Loss=0.092876, RCNNAcc=0.822709, RCNNLogLoss=0.558061, RCNNL1Loss=0.258644,
2018-10-22 21:04:36,572 Epoch[0] Batch [22400] Speed: 7.17 samples/sec Train-RPNAcc=0.980827, RPNLogLoss=0.058198, RPNL1Loss=0.092802, RCNNAcc=0.822882, RCNNLogLoss=0.557251, RCNNL1Loss=0.258310,
2018-10-22 21:05:32,532 Epoch[0] Batch [22500] Speed: 7.15 samples/sec Train-RPNAcc=0.980849, RPNLogLoss=0.058129, RPNL1Loss=0.092708, RCNNAcc=0.822959, RCNNLogLoss=0.556772, RCNNL1Loss=0.258228,
2018-10-22 21:06:30,334 Epoch[0] Batch [22600] Speed: 6.92 samples/sec Train-RPNAcc=0.980857, RPNLogLoss=0.058098, RPNL1Loss=0.092581, RCNNAcc=0.822972, RCNNLogLoss=0.556452, RCNNL1Loss=0.258193,
2018-10-22 21:07:23,861 Epoch[0] Batch [22700] Speed: 7.47 samples/sec Train-RPNAcc=0.980872, RPNLogLoss=0.058062, RPNL1Loss=0.092525, RCNNAcc=0.823064, RCNNLogLoss=0.555890, RCNNL1Loss=0.258071,
2018-10-22 21:08:19,964 Epoch[0] Batch [22800] Speed: 7.13 samples/sec Train-RPNAcc=0.980891, RPNLogLoss=0.058007, RPNL1Loss=0.092431, RCNNAcc=0.823084, RCNNLogLoss=0.555537, RCNNL1Loss=0.258013,
2018-10-22 21:09:14,094 Epoch[0] Batch [22900] Speed: 7.39 samples/sec Train-RPNAcc=0.980882, RPNLogLoss=0.058017, RPNL1Loss=0.092378, RCNNAcc=0.823086, RCNNLogLoss=0.555312, RCNNL1Loss=0.257910,
2018-10-22 21:10:10,240 Epoch[0] Batch [23000] Speed: 7.12 samples/sec Train-RPNAcc=0.980908, RPNLogLoss=0.057952, RPNL1Loss=0.092244, RCNNAcc=0.823257, RCNNLogLoss=0.554646, RCNNL1Loss=0.257602,
2018-10-22 21:11:06,550 Epoch[0] Batch [23100] Speed: 7.10 samples/sec Train-RPNAcc=0.980926, RPNLogLoss=0.057886, RPNL1Loss=0.092184, RCNNAcc=0.823366, RCNNLogLoss=0.554042, RCNNL1Loss=0.257419,
2018-10-22 21:12:00,714 Epoch[0] Batch [23200] Speed: 7.39 samples/sec Train-RPNAcc=0.980956, RPNLogLoss=0.057802, RPNL1Loss=0.092060, RCNNAcc=0.823503, RCNNLogLoss=0.553387, RCNNL1Loss=0.257217,
2018-10-22 21:13:00,195 Epoch[0] Batch [23300] Speed: 6.72 samples/sec Train-RPNAcc=0.980974, RPNLogLoss=0.057754, RPNL1Loss=0.092004, RCNNAcc=0.823648, RCNNLogLoss=0.552707, RCNNL1Loss=0.256985,
2018-10-22 21:13:56,361 Epoch[0] Batch [23400] Speed: 7.12 samples/sec Train-RPNAcc=0.980997, RPNLogLoss=0.057693, RPNL1Loss=0.091916, RCNNAcc=0.823768, RCNNLogLoss=0.552101, RCNNL1Loss=0.256758,
2018-10-22 21:14:51,301 Epoch[0] Batch [23500] Speed: 7.28 samples/sec Train-RPNAcc=0.981012, RPNLogLoss=0.057659, RPNL1Loss=0.091852, RCNNAcc=0.823845, RCNNLogLoss=0.551685, RCNNL1Loss=0.256589,
2018-10-22 21:15:45,555 Epoch[0] Batch [23600] Speed: 7.37 samples/sec Train-RPNAcc=0.981029, RPNLogLoss=0.057594, RPNL1Loss=0.091795, RCNNAcc=0.823886, RCNNLogLoss=0.551282, RCNNL1Loss=0.256526,
2018-10-22 21:16:41,935 Epoch[0] Batch [23700] Speed: 7.09 samples/sec Train-RPNAcc=0.981040, RPNLogLoss=0.057556, RPNL1Loss=0.091782, RCNNAcc=0.823990, RCNNLogLoss=0.550737, RCNNL1Loss=0.256339,
2018-10-22 21:17:37,945 Epoch[0] Batch [23800] Speed: 7.14 samples/sec Train-RPNAcc=0.981062, RPNLogLoss=0.057495, RPNL1Loss=0.091703, RCNNAcc=0.824052, RCNNLogLoss=0.550375, RCNNL1Loss=0.256261,
2018-10-22 21:18:32,807 Epoch[0] Batch [23900] Speed: 7.29 samples/sec Train-RPNAcc=0.981072, RPNLogLoss=0.057461, RPNL1Loss=0.091628, RCNNAcc=0.824141, RCNNLogLoss=0.549840, RCNNL1Loss=0.256092,
2018-10-22 21:19:28,152 Epoch[0] Batch [24000] Speed: 7.23 samples/sec Train-RPNAcc=0.981081, RPNLogLoss=0.057419, RPNL1Loss=0.091595, RCNNAcc=0.824240, RCNNLogLoss=0.549284, RCNNL1Loss=0.255894,
2018-10-22 21:20:26,292 Epoch[0] Batch [24100] Speed: 6.88 samples/sec Train-RPNAcc=0.981096, RPNLogLoss=0.057364, RPNL1Loss=0.091562, RCNNAcc=0.824299, RCNNLogLoss=0.548883, RCNNL1Loss=0.255783,
2018-10-22 21:21:20,996 Epoch[0] Batch [24200] Speed: 7.31 samples/sec Train-RPNAcc=0.981121, RPNLogLoss=0.057287, RPNL1Loss=0.091476, RCNNAcc=0.824328, RCNNLogLoss=0.548538, RCNNL1Loss=0.255711,
2018-10-22 21:22:16,642 Epoch[0] Batch [24300] Speed: 7.19 samples/sec Train-RPNAcc=0.981153, RPNLogLoss=0.057196, RPNL1Loss=0.091380, RCNNAcc=0.824377, RCNNLogLoss=0.548109, RCNNL1Loss=0.255622,
2018-10-22 21:23:12,031 Epoch[0] Batch [24400] Speed: 7.22 samples/sec Train-RPNAcc=0.981180, RPNLogLoss=0.057104, RPNL1Loss=0.091318, RCNNAcc=0.824529, RCNNLogLoss=0.547454, RCNNL1Loss=0.255439,
2018-10-22 21:24:08,236 Epoch[0] Batch [24500] Speed: 7.12 samples/sec Train-RPNAcc=0.981210, RPNLogLoss=0.057015, RPNL1Loss=0.091141, RCNNAcc=0.824578, RCNNLogLoss=0.547048, RCNNL1Loss=0.255308,
2018-10-22 21:25:03,067 Epoch[0] Batch [24600] Speed: 7.30 samples/sec Train-RPNAcc=0.981238, RPNLogLoss=0.056933, RPNL1Loss=0.091035, RCNNAcc=0.824672, RCNNLogLoss=0.546523, RCNNL1Loss=0.255130,
2018-10-22 21:26:00,345 Epoch[0] Batch [24700] Speed: 6.98 samples/sec Train-RPNAcc=0.981256, RPNLogLoss=0.056878, RPNL1Loss=0.090959, RCNNAcc=0.824842, RCNNLogLoss=0.545815, RCNNL1Loss=0.254869,
2018-10-22 21:27:25,696 Epoch[0] Batch [24800] Speed: 4.69 samples/sec Train-RPNAcc=0.981270, RPNLogLoss=0.056831, RPNL1Loss=0.090894, RCNNAcc=0.824906, RCNNLogLoss=0.545407, RCNNL1Loss=0.254752,
2018-10-22 21:28:40,585 Epoch[0] Batch [24900] Speed: 5.34 samples/sec Train-RPNAcc=0.981274, RPNLogLoss=0.056822, RPNL1Loss=0.090885, RCNNAcc=0.824918, RCNNLogLoss=0.545134, RCNNL1Loss=0.254718,
2018-10-22 21:29:36,449 Epoch[0] Batch [25000] Speed: 7.16 samples/sec Train-RPNAcc=0.981285, RPNLogLoss=0.056810, RPNL1Loss=0.090816, RCNNAcc=0.824996, RCNNLogLoss=0.544771, RCNNL1Loss=0.254537,
2018-10-22 21:30:29,479 Epoch[0] Batch [25100] Speed: 7.54 samples/sec Train-RPNAcc=0.981306, RPNLogLoss=0.056756, RPNL1Loss=0.090742, RCNNAcc=0.825052, RCNNLogLoss=0.544355, RCNNL1Loss=0.254461,
2018-10-22 21:31:22,722 Epoch[0] Batch [25200] Speed: 7.51 samples/sec Train-RPNAcc=0.981319, RPNLogLoss=0.056723, RPNL1Loss=0.090693, RCNNAcc=0.825061, RCNNLogLoss=0.544033, RCNNL1Loss=0.254461,
2018-10-22 21:32:15,387 Epoch[0] Batch [25300] Speed: 7.60 samples/sec Train-RPNAcc=0.981338, RPNLogLoss=0.056667, RPNL1Loss=0.090603, RCNNAcc=0.825089, RCNNLogLoss=0.543737, RCNNL1Loss=0.254410,
2018-10-22 21:33:08,706 Epoch[0] Batch [25400] Speed: 7.50 samples/sec Train-RPNAcc=0.981370, RPNLogLoss=0.056574, RPNL1Loss=0.090493, RCNNAcc=0.825145, RCNNLogLoss=0.543349, RCNNL1Loss=0.254307,
2018-10-22 21:34:01,836 Epoch[0] Batch [25500] Speed: 7.53 samples/sec Train-RPNAcc=0.981388, RPNLogLoss=0.056517, RPNL1Loss=0.090401, RCNNAcc=0.825236, RCNNLogLoss=0.542822, RCNNL1Loss=0.254171,
2018-10-22 21:34:55,556 Epoch[0] Batch [25600] Speed: 7.45 samples/sec Train-RPNAcc=0.981407, RPNLogLoss=0.056468, RPNL1Loss=0.090340, RCNNAcc=0.825293, RCNNLogLoss=0.542388, RCNNL1Loss=0.254039,
2018-10-22 21:35:48,975 Epoch[0] Batch [25700] Speed: 7.49 samples/sec Train-RPNAcc=0.981425, RPNLogLoss=0.056411, RPNL1Loss=0.090263, RCNNAcc=0.825330, RCNNLogLoss=0.542019, RCNNL1Loss=0.253994,
2018-10-22 21:36:41,986 Epoch[0] Batch [25800] Speed: 7.55 samples/sec Train-RPNAcc=0.981455, RPNLogLoss=0.056318, RPNL1Loss=0.090194, RCNNAcc=0.825366, RCNNLogLoss=0.541693, RCNNL1Loss=0.253888,
2018-10-22 21:37:35,677 Epoch[0] Batch [25900] Speed: 7.45 samples/sec Train-RPNAcc=0.981473, RPNLogLoss=0.056266, RPNL1Loss=0.090127, RCNNAcc=0.825404, RCNNLogLoss=0.541352, RCNNL1Loss=0.253773,
2018-10-22 21:38:28,553 Epoch[0] Batch [26000] Speed: 7.56 samples/sec Train-RPNAcc=0.981500, RPNLogLoss=0.056177, RPNL1Loss=0.090029, RCNNAcc=0.825464, RCNNLogLoss=0.540971, RCNNL1Loss=0.253602,
2018-10-22 21:39:21,848 Epoch[0] Batch [26100] Speed: 7.51 samples/sec Train-RPNAcc=0.981524, RPNLogLoss=0.056098, RPNL1Loss=0.089972, RCNNAcc=0.825530, RCNNLogLoss=0.540614, RCNNL1Loss=0.253416,
2018-10-22 21:40:16,550 Epoch[0] Batch [26200] Speed: 7.31 samples/sec Train-RPNAcc=0.981539, RPNLogLoss=0.056065, RPNL1Loss=0.089875, RCNNAcc=0.825615, RCNNLogLoss=0.540120, RCNNL1Loss=0.253269,
2018-10-22 21:41:10,905 Epoch[0] Batch [26300] Speed: 7.36 samples/sec Train-RPNAcc=0.981553, RPNLogLoss=0.056015, RPNL1Loss=0.089830, RCNNAcc=0.825678, RCNNLogLoss=0.539694, RCNNL1Loss=0.253113,
2018-10-22 21:42:03,084 Epoch[0] Batch [26400] Speed: 7.67 samples/sec Train-RPNAcc=0.981580, RPNLogLoss=0.055931, RPNL1Loss=0.089740, RCNNAcc=0.825785, RCNNLogLoss=0.539151, RCNNL1Loss=0.252976,
2018-10-22 21:42:56,366 Epoch[0] Batch [26500] Speed: 7.51 samples/sec Train-RPNAcc=0.981607, RPNLogLoss=0.055847, RPNL1Loss=0.089644, RCNNAcc=0.825907, RCNNLogLoss=0.538649, RCNNL1Loss=0.252781,
2018-10-22 21:43:50,241 Epoch[0] Batch [26600] Speed: 7.42 samples/sec Train-RPNAcc=0.981625, RPNLogLoss=0.055797, RPNL1Loss=0.089546, RCNNAcc=0.825985, RCNNLogLoss=0.538172, RCNNL1Loss=0.252670,
2018-10-22 21:44:43,662 Epoch[0] Batch [26700] Speed: 7.49 samples/sec Train-RPNAcc=0.981636, RPNLogLoss=0.055757, RPNL1Loss=0.089493, RCNNAcc=0.826066, RCNNLogLoss=0.537758, RCNNL1Loss=0.252545,
2018-10-22 21:45:37,333 Epoch[0] Batch [26800] Speed: 7.45 samples/sec Train-RPNAcc=0.981670, RPNLogLoss=0.055668, RPNL1Loss=0.089365, RCNNAcc=0.826134, RCNNLogLoss=0.537361, RCNNL1Loss=0.252442,
2018-10-22 21:46:32,801 Epoch[0] Batch [26900] Speed: 7.21 samples/sec Train-RPNAcc=0.981687, RPNLogLoss=0.055622, RPNL1Loss=0.089313, RCNNAcc=0.826239, RCNNLogLoss=0.536857, RCNNL1Loss=0.252275,
2018-10-22 21:47:27,436 Epoch[0] Batch [27000] Speed: 7.32 samples/sec Train-RPNAcc=0.981714, RPNLogLoss=0.055537, RPNL1Loss=0.089230, RCNNAcc=0.826347, RCNNLogLoss=0.536320, RCNNL1Loss=0.252064,
2018-10-22 21:48:20,914 Epoch[0] Batch [27100] Speed: 7.48 samples/sec Train-RPNAcc=0.981725, RPNLogLoss=0.055486, RPNL1Loss=0.089173, RCNNAcc=0.826384, RCNNLogLoss=0.535992, RCNNL1Loss=0.251987,
2018-10-22 21:49:15,266 Epoch[0] Batch [27200] Speed: 7.36 samples/sec Train-RPNAcc=0.981753, RPNLogLoss=0.055397, RPNL1Loss=0.089060, RCNNAcc=0.826473, RCNNLogLoss=0.535545, RCNNL1Loss=0.251868,
2018-10-22 21:50:10,702 Epoch[0] Batch [27300] Speed: 7.22 samples/sec Train-RPNAcc=0.981774, RPNLogLoss=0.055328, RPNL1Loss=0.088997, RCNNAcc=0.826536, RCNNLogLoss=0.535213, RCNNL1Loss=0.251766,
2018-10-22 21:51:14,514 Epoch[0] Batch [27400] Speed: 6.27 samples/sec Train-RPNAcc=0.981791, RPNLogLoss=0.055285, RPNL1Loss=0.088954, RCNNAcc=0.826604, RCNNLogLoss=0.534867, RCNNL1Loss=0.251674,
2018-10-22 21:52:32,272 Epoch[0] Batch [27500] Speed: 5.14 samples/sec Train-RPNAcc=0.981816, RPNLogLoss=0.055215, RPNL1Loss=0.088860, RCNNAcc=0.826713, RCNNLogLoss=0.534337, RCNNL1Loss=0.251492,
2018-10-22 21:53:42,612 Epoch[0] Batch [27600] Speed: 5.69 samples/sec Train-RPNAcc=0.981841, RPNLogLoss=0.055135, RPNL1Loss=0.088772, RCNNAcc=0.826813, RCNNLogLoss=0.533857, RCNNL1Loss=0.251316,
2018-10-22 21:54:37,453 Epoch[0] Batch [27700] Speed: 7.29 samples/sec Train-RPNAcc=0.981854, RPNLogLoss=0.055093, RPNL1Loss=0.088745, RCNNAcc=0.826875, RCNNLogLoss=0.533471, RCNNL1Loss=0.251270,
2018-10-22 21:55:31,215 Epoch[0] Batch [27800] Speed: 7.44 samples/sec Train-RPNAcc=0.981872, RPNLogLoss=0.055035, RPNL1Loss=0.088675, RCNNAcc=0.826943, RCNNLogLoss=0.533090, RCNNL1Loss=0.251185,
2018-10-22 21:56:27,050 Epoch[0] Batch [27900] Speed: 7.16 samples/sec Train-RPNAcc=0.981891, RPNLogLoss=0.054980, RPNL1Loss=0.088575, RCNNAcc=0.827064, RCNNLogLoss=0.532550, RCNNL1Loss=0.251007,
2018-10-22 21:57:21,083 Epoch[0] Batch [28000] Speed: 7.40 samples/sec Train-RPNAcc=0.981919, RPNLogLoss=0.054908, RPNL1Loss=0.088488, RCNNAcc=0.827183, RCNNLogLoss=0.532011, RCNNL1Loss=0.250789,
2018-10-22 21:58:16,091 Epoch[0] Batch [28100] Speed: 7.27 samples/sec Train-RPNAcc=0.981942, RPNLogLoss=0.054862, RPNL1Loss=0.088464, RCNNAcc=0.827317, RCNNLogLoss=0.531465, RCNNL1Loss=0.250592,
2018-10-22 21:59:10,344 Epoch[0] Batch [28200] Speed: 7.37 samples/sec Train-RPNAcc=0.981966, RPNLogLoss=0.054790, RPNL1Loss=0.088384, RCNNAcc=0.827471, RCNNLogLoss=0.530854, RCNNL1Loss=0.250351,
2018-10-22 22:00:05,524 Epoch[0] Batch [28300] Speed: 7.25 samples/sec Train-RPNAcc=0.981975, RPNLogLoss=0.054757, RPNL1Loss=0.088382, RCNNAcc=0.827541, RCNNLogLoss=0.530474, RCNNL1Loss=0.250202,
2018-10-22 22:00:59,574 Epoch[0] Batch [28400] Speed: 7.40 samples/sec Train-RPNAcc=0.981994, RPNLogLoss=0.054701, RPNL1Loss=0.088312, RCNNAcc=0.827598, RCNNLogLoss=0.530164, RCNNL1Loss=0.250099,
2018-10-22 22:01:53,190 Epoch[0] Batch [28500] Speed: 7.46 samples/sec Train-RPNAcc=0.982011, RPNLogLoss=0.054642, RPNL1Loss=0.088246, RCNNAcc=0.827690, RCNNLogLoss=0.529721, RCNNL1Loss=0.249920,
2018-10-22 22:02:48,587 Epoch[0] Batch [28600] Speed: 7.22 samples/sec Train-RPNAcc=0.982034, RPNLogLoss=0.054569, RPNL1Loss=0.088135, RCNNAcc=0.827769, RCNNLogLoss=0.529307, RCNNL1Loss=0.249759,
2018-10-22 22:03:41,740 Epoch[0] Batch [28700] Speed: 7.53 samples/sec Train-RPNAcc=0.982052, RPNLogLoss=0.054507, RPNL1Loss=0.088043, RCNNAcc=0.827815, RCNNLogLoss=0.529008, RCNNL1Loss=0.249634,
2018-10-22 22:04:36,549 Epoch[0] Batch [28800] Speed: 7.30 samples/sec Train-RPNAcc=0.982074, RPNLogLoss=0.054460, RPNL1Loss=0.088033, RCNNAcc=0.827856, RCNNLogLoss=0.528712, RCNNL1Loss=0.249540,
2018-10-22 22:05:32,575 Epoch[0] Batch [28900] Speed: 7.14 samples/sec Train-RPNAcc=0.982088, RPNLogLoss=0.054412, RPNL1Loss=0.087962, RCNNAcc=0.827909, RCNNLogLoss=0.528343, RCNNL1Loss=0.249432,
2018-10-22 22:06:28,884 Epoch[0] Batch [29000] Speed: 7.10 samples/sec Train-RPNAcc=0.982107, RPNLogLoss=0.054363, RPNL1Loss=0.087869, RCNNAcc=0.827989, RCNNLogLoss=0.527982, RCNNL1Loss=0.249295,
2018-10-22 22:07:22,811 Epoch[0] Batch [29100] Speed: 7.42 samples/sec Train-RPNAcc=0.982128, RPNLogLoss=0.054304, RPNL1Loss=0.087853, RCNNAcc=0.828117, RCNNLogLoss=0.527426, RCNNL1Loss=0.249107,
2018-10-22 22:08:17,688 Epoch[0] Batch [29200] Speed: 7.29 samples/sec Train-RPNAcc=0.982139, RPNLogLoss=0.054274, RPNL1Loss=0.087840, RCNNAcc=0.828190, RCNNLogLoss=0.527005, RCNNL1Loss=0.248988,
2018-10-22 22:09:12,393 Epoch[0] Batch [29300] Speed: 7.31 samples/sec Train-RPNAcc=0.982163, RPNLogLoss=0.054207, RPNL1Loss=0.087748, RCNNAcc=0.828252, RCNNLogLoss=0.526645, RCNNL1Loss=0.248920,
2018-10-22 22:10:06,362 Epoch[0] Batch [29400] Speed: 7.41 samples/sec Train-RPNAcc=0.982186, RPNLogLoss=0.054131, RPNL1Loss=0.087646, RCNNAcc=0.828338, RCNNLogLoss=0.526235, RCNNL1Loss=0.248784,
2018-10-22 22:11:00,650 Epoch[0] Batch [29500] Speed: 7.37 samples/sec Train-RPNAcc=0.982203, RPNLogLoss=0.054075, RPNL1Loss=0.087569, RCNNAcc=0.828414, RCNNLogLoss=0.525879, RCNNL1Loss=0.248674,
2018-10-22 22:11:53,827 Epoch[0] Batch [29600] Speed: 7.52 samples/sec Train-RPNAcc=0.982213, RPNLogLoss=0.054034, RPNL1Loss=0.087525, RCNNAcc=0.828447, RCNNLogLoss=0.525599, RCNNL1Loss=0.248657,
2018-10-22 22:12:48,026 Epoch[0] Batch [29700] Speed: 7.38 samples/sec Train-RPNAcc=0.982223, RPNLogLoss=0.054001, RPNL1Loss=0.087491, RCNNAcc=0.828475, RCNNLogLoss=0.525316, RCNNL1Loss=0.248662,
2018-10-22 22:13:41,425 Epoch[0] Batch [29800] Speed: 7.49 samples/sec Train-RPNAcc=0.982240, RPNLogLoss=0.053954, RPNL1Loss=0.087443, RCNNAcc=0.828601, RCNNLogLoss=0.524831, RCNNL1Loss=0.248471,
2018-10-22 22:14:37,805 Epoch[0] Batch [29900] Speed: 7.09 samples/sec Train-RPNAcc=0.982253, RPNLogLoss=0.053918, RPNL1Loss=0.087431, RCNNAcc=0.828682, RCNNLogLoss=0.524400, RCNNL1Loss=0.248309,
2018-10-22 22:15:32,150 Epoch[0] Batch [30000] Speed: 7.36 samples/sec Train-RPNAcc=0.982277, RPNLogLoss=0.053852, RPNL1Loss=0.087336, RCNNAcc=0.828717, RCNNLogLoss=0.524103, RCNNL1Loss=0.248189,
2018-10-22 22:16:28,534 Epoch[0] Batch [30100] Speed: 7.09 samples/sec Train-RPNAcc=0.982287, RPNLogLoss=0.053816, RPNL1Loss=0.087261, RCNNAcc=0.828738, RCNNLogLoss=0.523848, RCNNL1Loss=0.248144,
2018-10-22 22:17:35,403 Epoch[0] Batch [30200] Speed: 5.98 samples/sec Train-RPNAcc=0.982306, RPNLogLoss=0.053746, RPNL1Loss=0.087191, RCNNAcc=0.828802, RCNNLogLoss=0.523487, RCNNL1Loss=0.248042,
2018-10-22 22:18:51,051 Epoch[0] Batch [30300] Speed: 5.29 samples/sec Train-RPNAcc=0.982330, RPNLogLoss=0.053669, RPNL1Loss=0.087088, RCNNAcc=0.828844, RCNNLogLoss=0.523214, RCNNL1Loss=0.247994,
2018-10-22 22:19:59,516 Epoch[0] Batch [30400] Speed: 5.84 samples/sec Train-RPNAcc=0.982345, RPNLogLoss=0.053621, RPNL1Loss=0.087041, RCNNAcc=0.828920, RCNNLogLoss=0.522892, RCNNL1Loss=0.247858,
2018-10-22 22:20:59,007 Epoch[0] Batch [30500] Speed: 6.72 samples/sec Train-RPNAcc=0.982353, RPNLogLoss=0.053595, RPNL1Loss=0.086994, RCNNAcc=0.828981, RCNNLogLoss=0.522602, RCNNL1Loss=0.247748,
2018-10-22 22:21:55,117 Epoch[0] Batch [30600] Speed: 7.13 samples/sec Train-RPNAcc=0.982372, RPNLogLoss=0.053548, RPNL1Loss=0.086905, RCNNAcc=0.829075, RCNNLogLoss=0.522204, RCNNL1Loss=0.247606,
2018-10-22 22:22:49,174 Epoch[0] Batch [30700] Speed: 7.40 samples/sec Train-RPNAcc=0.982392, RPNLogLoss=0.053497, RPNL1Loss=0.086804, RCNNAcc=0.829137, RCNNLogLoss=0.521866, RCNNL1Loss=0.247484,
2018-10-22 22:23:43,732 Epoch[0] Batch [30800] Speed: 7.33 samples/sec Train-RPNAcc=0.982413, RPNLogLoss=0.053433, RPNL1Loss=0.086742, RCNNAcc=0.829224, RCNNLogLoss=0.521494, RCNNL1Loss=0.247337,
2018-10-22 22:24:39,167 Epoch[0] Batch [30900] Speed: 7.22 samples/sec Train-RPNAcc=0.982435, RPNLogLoss=0.053366, RPNL1Loss=0.086636, RCNNAcc=0.829294, RCNNLogLoss=0.521131, RCNNL1Loss=0.247246,
2018-10-22 22:25:33,339 Epoch[0] Batch [31000] Speed: 7.38 samples/sec Train-RPNAcc=0.982454, RPNLogLoss=0.053311, RPNL1Loss=0.086554, RCNNAcc=0.829401, RCNNLogLoss=0.520680, RCNNL1Loss=0.247065,
2018-10-22 22:26:28,330 Epoch[0] Batch [31100] Speed: 7.27 samples/sec Train-RPNAcc=0.982470, RPNLogLoss=0.053274, RPNL1Loss=0.086496, RCNNAcc=0.829465, RCNNLogLoss=0.520355, RCNNL1Loss=0.246938,
2018-10-22 22:27:21,916 Epoch[0] Batch [31200] Speed: 7.46 samples/sec Train-RPNAcc=0.982485, RPNLogLoss=0.053232, RPNL1Loss=0.086453, RCNNAcc=0.829526, RCNNLogLoss=0.520021, RCNNL1Loss=0.246850,
2018-10-22 22:28:15,346 Epoch[0] Batch [31300] Speed: 7.49 samples/sec Train-RPNAcc=0.982501, RPNLogLoss=0.053179, RPNL1Loss=0.086417, RCNNAcc=0.829586, RCNNLogLoss=0.519702, RCNNL1Loss=0.246712,
2018-10-22 22:29:09,114 Epoch[0] Batch [31400] Speed: 7.44 samples/sec Train-RPNAcc=0.982526, RPNLogLoss=0.053106, RPNL1Loss=0.086324, RCNNAcc=0.829625, RCNNLogLoss=0.519449, RCNNL1Loss=0.246645,
2018-10-22 22:30:04,413 Epoch[0] Batch [31500] Speed: 7.23 samples/sec Train-RPNAcc=0.982544, RPNLogLoss=0.053055, RPNL1Loss=0.086278, RCNNAcc=0.829679, RCNNLogLoss=0.519129, RCNNL1Loss=0.246537,
2018-10-22 22:31:02,917 Epoch[0] Batch [31600] Speed: 6.84 samples/sec Train-RPNAcc=0.982551, RPNLogLoss=0.053026, RPNL1Loss=0.086201, RCNNAcc=0.829744, RCNNLogLoss=0.518830, RCNNL1Loss=0.246434,
2018-10-22 22:31:59,273 Epoch[0] Batch [31700] Speed: 7.10 samples/sec Train-RPNAcc=0.982554, RPNLogLoss=0.053008, RPNL1Loss=0.086203, RCNNAcc=0.829762, RCNNLogLoss=0.518607, RCNNL1Loss=0.246361,
2018-10-22 22:32:53,953 Epoch[0] Batch [31800] Speed: 7.32 samples/sec Train-RPNAcc=0.982568, RPNLogLoss=0.052964, RPNL1Loss=0.086115, RCNNAcc=0.829831, RCNNLogLoss=0.518258, RCNNL1Loss=0.246226,
2018-10-22 22:33:48,647 Epoch[0] Batch [31900] Speed: 7.31 samples/sec Train-RPNAcc=0.982585, RPNLogLoss=0.052916, RPNL1Loss=0.086066, RCNNAcc=0.829872, RCNNLogLoss=0.518014, RCNNL1Loss=0.246156,
2018-10-22 22:34:42,883 Epoch[0] Batch [32000] Speed: 7.38 samples/sec Train-RPNAcc=0.982597, RPNLogLoss=0.052875, RPNL1Loss=0.086020, RCNNAcc=0.829910, RCNNLogLoss=0.517765, RCNNL1Loss=0.246072,
2018-10-22 22:35:37,852 Epoch[0] Batch [32100] Speed: 7.28 samples/sec Train-RPNAcc=0.982604, RPNLogLoss=0.052847, RPNL1Loss=0.085953, RCNNAcc=0.829996, RCNNLogLoss=0.517396, RCNNL1Loss=0.245939,
2018-10-22 22:36:31,186 Epoch[0] Batch [32200] Speed: 7.50 samples/sec Train-RPNAcc=0.982615, RPNLogLoss=0.052816, RPNL1Loss=0.085947, RCNNAcc=0.830061, RCNNLogLoss=0.517075, RCNNL1Loss=0.245874,
2018-10-22 22:37:27,675 Epoch[0] Batch [32300] Speed: 7.08 samples/sec Train-RPNAcc=0.982622, RPNLogLoss=0.052800, RPNL1Loss=0.085974, RCNNAcc=0.830161, RCNNLogLoss=0.516657, RCNNL1Loss=0.245741,
2018-10-22 22:38:20,823 Epoch[0] Batch [32400] Speed: 7.53 samples/sec Train-RPNAcc=0.982645, RPNLogLoss=0.052731, RPNL1Loss=0.085890, RCNNAcc=0.830314, RCNNLogLoss=0.516107, RCNNL1Loss=0.245477,
2018-10-22 22:39:17,219 Epoch[0] Batch [32500] Speed: 7.09 samples/sec Train-RPNAcc=0.982658, RPNLogLoss=0.052685, RPNL1Loss=0.085855, RCNNAcc=0.830378, RCNNLogLoss=0.515795, RCNNL1Loss=0.245351,
2018-10-22 22:40:10,570 Epoch[0] Batch [32600] Speed: 7.50 samples/sec Train-RPNAcc=0.982675, RPNLogLoss=0.052633, RPNL1Loss=0.085792, RCNNAcc=0.830470, RCNNLogLoss=0.515381, RCNNL1Loss=0.245207,
2018-10-22 22:41:04,245 Epoch[0] Batch [32700] Speed: 7.45 samples/sec Train-RPNAcc=0.982699, RPNLogLoss=0.052561, RPNL1Loss=0.085722, RCNNAcc=0.830515, RCNNLogLoss=0.515082, RCNNL1Loss=0.245108,
2018-10-22 22:42:01,975 Epoch[0] Batch [32800] Speed: 6.93 samples/sec Train-RPNAcc=0.982706, RPNLogLoss=0.052549, RPNL1Loss=0.085655, RCNNAcc=0.830535, RCNNLogLoss=0.514912, RCNNL1Loss=0.245095,
2018-10-22 22:43:22,642 Epoch[0] Batch [32900] Speed: 4.96 samples/sec Train-RPNAcc=0.982724, RPNLogLoss=0.052491, RPNL1Loss=0.085587, RCNNAcc=0.830615, RCNNLogLoss=0.514535, RCNNL1Loss=0.244923,
2018-10-22 22:44:32,746 Epoch[0] Batch [33000] Speed: 5.71 samples/sec Train-RPNAcc=0.982736, RPNLogLoss=0.052446, RPNL1Loss=0.085580, RCNNAcc=0.830691, RCNNLogLoss=0.514149, RCNNL1Loss=0.244805,
2018-10-22 22:45:28,158 Epoch[0] Batch [33100] Speed: 7.22 samples/sec Train-RPNAcc=0.982753, RPNLogLoss=0.052398, RPNL1Loss=0.085490, RCNNAcc=0.830757, RCNNLogLoss=0.513845, RCNNL1Loss=0.244685,
2018-10-22 22:46:34,278 Epoch[0] Batch [33200] Speed: 6.05 samples/sec Train-RPNAcc=0.982772, RPNLogLoss=0.052334, RPNL1Loss=0.085456, RCNNAcc=0.830872, RCNNLogLoss=0.513328, RCNNL1Loss=0.244529,
2018-10-22 22:47:28,487 Epoch[0] Batch [33300] Speed: 7.38 samples/sec Train-RPNAcc=0.982784, RPNLogLoss=0.052294, RPNL1Loss=0.085396, RCNNAcc=0.830960, RCNNLogLoss=0.512958, RCNNL1Loss=0.244391,
2018-10-22 22:48:21,960 Epoch[0] Batch [33400] Speed: 7.48 samples/sec Train-RPNAcc=0.982803, RPNLogLoss=0.052234, RPNL1Loss=0.085366, RCNNAcc=0.831063, RCNNLogLoss=0.512556, RCNNL1Loss=0.244227,
2018-10-22 22:49:16,241 Epoch[0] Batch [33500] Speed: 7.37 samples/sec Train-RPNAcc=0.982824, RPNLogLoss=0.052182, RPNL1Loss=0.085262, RCNNAcc=0.831177, RCNNLogLoss=0.512109, RCNNL1Loss=0.244060,
2018-10-22 22:50:11,342 Epoch[0] Batch [33600] Speed: 7.26 samples/sec Train-RPNAcc=0.982844, RPNLogLoss=0.052122, RPNL1Loss=0.085180, RCNNAcc=0.831297, RCNNLogLoss=0.511629, RCNNL1Loss=0.243880,
2018-10-22 22:51:05,819 Epoch[0] Batch [33700] Speed: 7.34 samples/sec Train-RPNAcc=0.982852, RPNLogLoss=0.052106, RPNL1Loss=0.085159, RCNNAcc=0.831392, RCNNLogLoss=0.511254, RCNNL1Loss=0.243709,
2018-10-22 22:52:01,406 Epoch[0] Batch [33800] Speed: 7.20 samples/sec Train-RPNAcc=0.982867, RPNLogLoss=0.052073, RPNL1Loss=0.085144, RCNNAcc=0.831480, RCNNLogLoss=0.510905, RCNNL1Loss=0.243556,
2018-10-22 22:52:55,626 Epoch[0] Batch [33900] Speed: 7.38 samples/sec Train-RPNAcc=0.982883, RPNLogLoss=0.052023, RPNL1Loss=0.085110, RCNNAcc=0.831536, RCNNLogLoss=0.510588, RCNNL1Loss=0.243502,
2018-10-22 22:53:50,983 Epoch[0] Batch [34000] Speed: 7.23 samples/sec Train-RPNAcc=0.982902, RPNLogLoss=0.051968, RPNL1Loss=0.085027, RCNNAcc=0.831602, RCNNLogLoss=0.510266, RCNNL1Loss=0.243415,
2018-10-22 22:54:44,881 Epoch[0] Batch [34100] Speed: 7.42 samples/sec Train-RPNAcc=0.982911, RPNLogLoss=0.051931, RPNL1Loss=0.085020, RCNNAcc=0.831646, RCNNLogLoss=0.510001, RCNNL1Loss=0.243375,
2018-10-22 22:55:41,750 Epoch[0] Batch [34200] Speed: 7.03 samples/sec Train-RPNAcc=0.982931, RPNLogLoss=0.051879, RPNL1Loss=0.084934, RCNNAcc=0.831736, RCNNLogLoss=0.509614, RCNNL1Loss=0.243205,
2018-10-22 22:56:37,660 Epoch[0] Batch [34300] Speed: 7.15 samples/sec Train-RPNAcc=0.982949, RPNLogLoss=0.051825, RPNL1Loss=0.084849, RCNNAcc=0.831848, RCNNLogLoss=0.509179, RCNNL1Loss=0.243012,
2018-10-22 22:57:32,760 Epoch[0] Batch [34400] Speed: 7.26 samples/sec Train-RPNAcc=0.982962, RPNLogLoss=0.051786, RPNL1Loss=0.084798, RCNNAcc=0.831926, RCNNLogLoss=0.508847, RCNNL1Loss=0.242905,
2018-10-22 22:58:26,807 Epoch[0] Batch [34500] Speed: 7.40 samples/sec Train-RPNAcc=0.982979, RPNLogLoss=0.051737, RPNL1Loss=0.084733, RCNNAcc=0.831967, RCNNLogLoss=0.508606, RCNNL1Loss=0.242797,
2018-10-22 22:59:20,543 Epoch[0] Batch [34600] Speed: 7.44 samples/sec Train-RPNAcc=0.982991, RPNLogLoss=0.051707, RPNL1Loss=0.084776, RCNNAcc=0.832048, RCNNLogLoss=0.508249, RCNNL1Loss=0.242671,
2018-10-22 23:00:15,740 Epoch[0] Batch [34700] Speed: 7.25 samples/sec Train-RPNAcc=0.983006, RPNLogLoss=0.051660, RPNL1Loss=0.084732, RCNNAcc=0.832095, RCNNLogLoss=0.507921, RCNNL1Loss=0.242584,
2018-10-22 23:01:10,524 Epoch[0] Batch [34800] Speed: 7.30 samples/sec Train-RPNAcc=0.983013, RPNLogLoss=0.051637, RPNL1Loss=0.084713, RCNNAcc=0.832137, RCNNLogLoss=0.507667, RCNNL1Loss=0.242528,
2018-10-22 23:02:03,734 Epoch[0] Batch [34900] Speed: 7.52 samples/sec Train-RPNAcc=0.983027, RPNLogLoss=0.051600, RPNL1Loss=0.084668, RCNNAcc=0.832225, RCNNLogLoss=0.507315, RCNNL1Loss=0.242385,
2018-10-22 23:02:57,288 Epoch[0] Batch [35000] Speed: 7.47 samples/sec Train-RPNAcc=0.983045, RPNLogLoss=0.051539, RPNL1Loss=0.084580, RCNNAcc=0.832324, RCNNLogLoss=0.506914, RCNNL1Loss=0.242251,
2018-10-22 23:03:52,779 Epoch[0] Batch [35100] Speed: 7.21 samples/sec Train-RPNAcc=0.983054, RPNLogLoss=0.051516, RPNL1Loss=0.084571, RCNNAcc=0.832408, RCNNLogLoss=0.506578, RCNNL1Loss=0.242104,
2018-10-22 23:04:46,803 Epoch[0] Batch [35200] Speed: 7.40 samples/sec Train-RPNAcc=0.983064, RPNLogLoss=0.051486, RPNL1Loss=0.084514, RCNNAcc=0.832487, RCNNLogLoss=0.506212, RCNNL1Loss=0.241986,
2018-10-22 23:05:43,695 Epoch[0] Batch [35300] Speed: 7.03 samples/sec Train-RPNAcc=0.983069, RPNLogLoss=0.051464, RPNL1Loss=0.084471, RCNNAcc=0.832523, RCNNLogLoss=0.505974, RCNNL1Loss=0.241970,
2018-10-22 23:06:40,301 Epoch[0] Batch [35400] Speed: 7.07 samples/sec Train-RPNAcc=0.983086, RPNLogLoss=0.051411, RPNL1Loss=0.084395, RCNNAcc=0.832599, RCNNLogLoss=0.505612, RCNNL1Loss=0.241849,
2018-10-22 23:07:53,722 Epoch[0] Batch [35500] Speed: 5.45 samples/sec Train-RPNAcc=0.983098, RPNLogLoss=0.051369, RPNL1Loss=0.084363, RCNNAcc=0.832626, RCNNLogLoss=0.505377, RCNNL1Loss=0.241804,
2018-10-22 23:09:05,868 Epoch[0] Batch [35600] Speed: 5.54 samples/sec Train-RPNAcc=0.983112, RPNLogLoss=0.051330, RPNL1Loss=0.084251, RCNNAcc=0.832752, RCNNLogLoss=0.504919, RCNNL1Loss=0.241611,
2018-10-22 23:10:17,245 Epoch[0] Batch [35700] Speed: 5.60 samples/sec Train-RPNAcc=0.983129, RPNLogLoss=0.051283, RPNL1Loss=0.084164, RCNNAcc=0.832862, RCNNLogLoss=0.504465, RCNNL1Loss=0.241444,
2018-10-22 23:11:17,614 Epoch[0] Batch [35800] Speed: 6.63 samples/sec Train-RPNAcc=0.983143, RPNLogLoss=0.051238, RPNL1Loss=0.084141, RCNNAcc=0.832920, RCNNLogLoss=0.504157, RCNNL1Loss=0.241326,
2018-10-22 23:12:13,258 Epoch[0] Batch [35900] Speed: 7.19 samples/sec Train-RPNAcc=0.983158, RPNLogLoss=0.051194, RPNL1Loss=0.084098, RCNNAcc=0.833014, RCNNLogLoss=0.503766, RCNNL1Loss=0.241182,
2018-10-22 23:13:07,231 Epoch[0] Batch [36000] Speed: 7.41 samples/sec Train-RPNAcc=0.983173, RPNLogLoss=0.051144, RPNL1Loss=0.084024, RCNNAcc=0.833071, RCNNLogLoss=0.503510, RCNNL1Loss=0.241119,
2018-10-22 23:14:02,858 Epoch[0] Batch [36100] Speed: 7.19 samples/sec Train-RPNAcc=0.983190, RPNLogLoss=0.051094, RPNL1Loss=0.083971, RCNNAcc=0.833136, RCNNLogLoss=0.503195, RCNNL1Loss=0.240998,
2018-10-22 23:14:56,954 Epoch[0] Batch [36200] Speed: 7.39 samples/sec Train-RPNAcc=0.983204, RPNLogLoss=0.051053, RPNL1Loss=0.083899, RCNNAcc=0.833232, RCNNLogLoss=0.502828, RCNNL1Loss=0.240817,
2018-10-22 23:15:52,081 Epoch[0] Batch [36300] Speed: 7.26 samples/sec Train-RPNAcc=0.983218, RPNLogLoss=0.051009, RPNL1Loss=0.083832, RCNNAcc=0.833349, RCNNLogLoss=0.502392, RCNNL1Loss=0.240633,
2018-10-22 23:16:47,149 Epoch[0] Batch [36400] Speed: 7.26 samples/sec Train-RPNAcc=0.983237, RPNLogLoss=0.050951, RPNL1Loss=0.083769, RCNNAcc=0.833466, RCNNLogLoss=0.501920, RCNNL1Loss=0.240456,
2018-10-22 23:17:42,516 Epoch[0] Batch [36500] Speed: 7.22 samples/sec Train-RPNAcc=0.983248, RPNLogLoss=0.050921, RPNL1Loss=0.083713, RCNNAcc=0.833561, RCNNLogLoss=0.501503, RCNNL1Loss=0.240309,
2018-10-22 23:18:38,381 Epoch[0] Batch [36600] Speed: 7.16 samples/sec Train-RPNAcc=0.983261, RPNLogLoss=0.050885, RPNL1Loss=0.083642, RCNNAcc=0.833671, RCNNLogLoss=0.501084, RCNNL1Loss=0.240161,
2018-10-22 23:19:34,464 Epoch[0] Batch [36700] Speed: 7.13 samples/sec Train-RPNAcc=0.983278, RPNLogLoss=0.050831, RPNL1Loss=0.083580, RCNNAcc=0.833735, RCNNLogLoss=0.500779, RCNNL1Loss=0.240029,
2018-10-22 23:20:31,597 Epoch[0] Batch [36800] Speed: 7.00 samples/sec Train-RPNAcc=0.983292, RPNLogLoss=0.050789, RPNL1Loss=0.083528, RCNNAcc=0.833824, RCNNLogLoss=0.500403, RCNNL1Loss=0.239865,
2018-10-22 23:21:28,069 Epoch[0] Batch [36900] Speed: 7.08 samples/sec Train-RPNAcc=0.983306, RPNLogLoss=0.050744, RPNL1Loss=0.083466, RCNNAcc=0.833887, RCNNLogLoss=0.500079, RCNNL1Loss=0.239768,
2018-10-22 23:22:22,297 Epoch[0] Batch [37000] Speed: 7.38 samples/sec Train-RPNAcc=0.983312, RPNLogLoss=0.050733, RPNL1Loss=0.083444, RCNNAcc=0.833957, RCNNLogLoss=0.499770, RCNNL1Loss=0.239660,
2018-10-22 23:23:16,672 Epoch[0] Batch [37100] Speed: 7.36 samples/sec Train-RPNAcc=0.983334, RPNLogLoss=0.050670, RPNL1Loss=0.083375, RCNNAcc=0.834051, RCNNLogLoss=0.499368, RCNNL1Loss=0.239478,
2018-10-22 23:24:10,965 Epoch[0] Batch [37200] Speed: 7.37 samples/sec Train-RPNAcc=0.983349, RPNLogLoss=0.050626, RPNL1Loss=0.083293, RCNNAcc=0.834128, RCNNLogLoss=0.499043, RCNNL1Loss=0.239348,
2018-10-22 23:25:07,160 Epoch[0] Batch [37300] Speed: 7.12 samples/sec Train-RPNAcc=0.983358, RPNLogLoss=0.050587, RPNL1Loss=0.083271, RCNNAcc=0.834235, RCNNLogLoss=0.498605, RCNNL1Loss=0.239220,
2018-10-22 23:26:00,545 Epoch[0] Batch [37400] Speed: 7.49 samples/sec Train-RPNAcc=0.983367, RPNLogLoss=0.050563, RPNL1Loss=0.083264, RCNNAcc=0.834293, RCNNLogLoss=0.498319, RCNNL1Loss=0.239154,
2018-10-22 23:26:55,675 Epoch[0] Batch [37500] Speed: 7.26 samples/sec Train-RPNAcc=0.983386, RPNLogLoss=0.050511, RPNL1Loss=0.083175, RCNNAcc=0.834375, RCNNLogLoss=0.497942, RCNNL1Loss=0.239039,
2018-10-22 23:27:51,904 Epoch[0] Batch [37600] Speed: 7.11 samples/sec Train-RPNAcc=0.983405, RPNLogLoss=0.050460, RPNL1Loss=0.083132, RCNNAcc=0.834472, RCNNLogLoss=0.497537, RCNNL1Loss=0.238890,
2018-10-22 23:28:47,321 Epoch[0] Batch [37700] Speed: 7.22 samples/sec Train-RPNAcc=0.983414, RPNLogLoss=0.050441, RPNL1Loss=0.083082, RCNNAcc=0.834580, RCNNLogLoss=0.497142, RCNNL1Loss=0.238732,
2018-10-22 23:29:42,934 Epoch[0] Batch [37800] Speed: 7.19 samples/sec Train-RPNAcc=0.983432, RPNLogLoss=0.050386, RPNL1Loss=0.083024, RCNNAcc=0.834630, RCNNLogLoss=0.496875, RCNNL1Loss=0.238613,
2018-10-22 23:30:39,584 Epoch[0] Batch [37900] Speed: 7.06 samples/sec Train-RPNAcc=0.983447, RPNLogLoss=0.050347, RPNL1Loss=0.083003, RCNNAcc=0.834695, RCNNLogLoss=0.496582, RCNNL1Loss=0.238467,
2018-10-22 23:31:39,566 Epoch[0] Batch [38000] Speed: 6.67 samples/sec Train-RPNAcc=0.983465, RPNLogLoss=0.050297, RPNL1Loss=0.082934, RCNNAcc=0.834760, RCNNLogLoss=0.496226, RCNNL1Loss=0.238396,
2018-10-22 23:32:58,221 Epoch[0] Batch [38100] Speed: 5.09 samples/sec Train-RPNAcc=0.983474, RPNLogLoss=0.050273, RPNL1Loss=0.082887, RCNNAcc=0.834826, RCNNLogLoss=0.495937, RCNNL1Loss=0.238251,
2018-10-22 23:34:11,308 Epoch[0] Batch [38200] Speed: 5.47 samples/sec Train-RPNAcc=0.983487, RPNLogLoss=0.050232, RPNL1Loss=0.082817, RCNNAcc=0.834905, RCNNLogLoss=0.495624, RCNNL1Loss=0.238076,
2018-10-22 23:35:21,943 Epoch[0] Batch [38300] Speed: 5.66 samples/sec Train-RPNAcc=0.983505, RPNLogLoss=0.050182, RPNL1Loss=0.082744, RCNNAcc=0.834987, RCNNLogLoss=0.495271, RCNNL1Loss=0.237944,
2018-10-22 23:36:20,708 Epoch[0] Batch [38400] Speed: 6.81 samples/sec Train-RPNAcc=0.983520, RPNLogLoss=0.050136, RPNL1Loss=0.082681, RCNNAcc=0.835089, RCNNLogLoss=0.494892, RCNNL1Loss=0.237831,
2018-10-22 23:37:15,869 Epoch[0] Batch [38500] Speed: 7.25 samples/sec Train-RPNAcc=0.983520, RPNLogLoss=0.050129, RPNL1Loss=0.082676, RCNNAcc=0.835181, RCNNLogLoss=0.494554, RCNNL1Loss=0.237668,
2018-10-22 23:38:12,328 Epoch[0] Batch [38600] Speed: 7.08 samples/sec Train-RPNAcc=0.983535, RPNLogLoss=0.050091, RPNL1Loss=0.082625, RCNNAcc=0.835283, RCNNLogLoss=0.494135, RCNNL1Loss=0.237506,
2018-10-22 23:39:07,379 Epoch[0] Batch [38700] Speed: 7.27 samples/sec Train-RPNAcc=0.983551, RPNLogLoss=0.050047, RPNL1Loss=0.082566, RCNNAcc=0.835383, RCNNLogLoss=0.493760, RCNNL1Loss=0.237352,
2018-10-22 23:40:02,156 Epoch[0] Batch [38800] Speed: 7.30 samples/sec Train-RPNAcc=0.983568, RPNLogLoss=0.050004, RPNL1Loss=0.082505, RCNNAcc=0.835507, RCNNLogLoss=0.493298, RCNNL1Loss=0.237126,
2018-10-22 23:40:58,502 Epoch[0] Batch [38900] Speed: 7.10 samples/sec Train-RPNAcc=0.983575, RPNLogLoss=0.049981, RPNL1Loss=0.082455, RCNNAcc=0.835602, RCNNLogLoss=0.492927, RCNNL1Loss=0.236993,
2018-10-22 23:41:53,107 Epoch[0] Batch [39000] Speed: 7.33 samples/sec Train-RPNAcc=0.983591, RPNLogLoss=0.049934, RPNL1Loss=0.082390, RCNNAcc=0.835681, RCNNLogLoss=0.492614, RCNNL1Loss=0.236876,
2018-10-22 23:42:48,873 Epoch[0] Batch [39100] Speed: 7.17 samples/sec Train-RPNAcc=0.983606, RPNLogLoss=0.049890, RPNL1Loss=0.082357, RCNNAcc=0.835756, RCNNLogLoss=0.492325, RCNNL1Loss=0.236729,
2018-10-22 23:43:46,499 Epoch[0] Batch [39200] Speed: 6.94 samples/sec Train-RPNAcc=0.983613, RPNLogLoss=0.049870, RPNL1Loss=0.082355, RCNNAcc=0.835830, RCNNLogLoss=0.492056, RCNNL1Loss=0.236621,
2018-10-22 23:44:42,579 Epoch[0] Batch [39300] Speed: 7.13 samples/sec Train-RPNAcc=0.983628, RPNLogLoss=0.049828, RPNL1Loss=0.082291, RCNNAcc=0.835917, RCNNLogLoss=0.491690, RCNNL1Loss=0.236472,
2018-10-22 23:45:38,139 Epoch[0] Batch [39400] Speed: 7.20 samples/sec Train-RPNAcc=0.983645, RPNLogLoss=0.049782, RPNL1Loss=0.082258, RCNNAcc=0.835994, RCNNLogLoss=0.491357, RCNNL1Loss=0.236335,
2018-10-22 23:46:32,048 Epoch[0] Batch [39500] Speed: 7.42 samples/sec Train-RPNAcc=0.983655, RPNLogLoss=0.049746, RPNL1Loss=0.082195, RCNNAcc=0.836073, RCNNLogLoss=0.491065, RCNNL1Loss=0.236201,
2018-10-22 23:47:28,237 Epoch[0] Batch [39600] Speed: 7.12 samples/sec Train-RPNAcc=0.983673, RPNLogLoss=0.049695, RPNL1Loss=0.082132, RCNNAcc=0.836172, RCNNLogLoss=0.490680, RCNNL1Loss=0.236029,
2018-10-22 23:48:22,935 Epoch[0] Batch [39700] Speed: 7.31 samples/sec Train-RPNAcc=0.983688, RPNLogLoss=0.049655, RPNL1Loss=0.082088, RCNNAcc=0.836248, RCNNLogLoss=0.490389, RCNNL1Loss=0.235912,
2018-10-22 23:49:17,758 Epoch[0] Batch [39800] Speed: 7.30 samples/sec Train-RPNAcc=0.983697, RPNLogLoss=0.049633, RPNL1Loss=0.082077, RCNNAcc=0.836322, RCNNLogLoss=0.490072, RCNNL1Loss=0.235820,
2018-10-22 23:50:12,000 Epoch[0] Batch [39900] Speed: 7.37 samples/sec Train-RPNAcc=0.983718, RPNLogLoss=0.049567, RPNL1Loss=0.082007, RCNNAcc=0.836416, RCNNLogLoss=0.489681, RCNNL1Loss=0.235638,
2018-10-22 23:51:05,709 Epoch[0] Batch [40000] Speed: 7.45 samples/sec Train-RPNAcc=0.983733, RPNLogLoss=0.049524, RPNL1Loss=0.081939, RCNNAcc=0.836484, RCNNLogLoss=0.489389, RCNNL1Loss=0.235540,
2018-10-22 23:52:01,761 Epoch[0] Batch [40100] Speed: 7.14 samples/sec Train-RPNAcc=0.983735, RPNLogLoss=0.049514, RPNL1Loss=0.081917, RCNNAcc=0.836537, RCNNLogLoss=0.489152, RCNNL1Loss=0.235449,
2018-10-22 23:52:55,326 Epoch[0] Batch [40200] Speed: 7.47 samples/sec Train-RPNAcc=0.983745, RPNLogLoss=0.049488, RPNL1Loss=0.081869, RCNNAcc=0.836585, RCNNLogLoss=0.488892, RCNNL1Loss=0.235370,
2018-10-22 23:53:51,768 Epoch[0] Batch [40300] Speed: 7.09 samples/sec Train-RPNAcc=0.983757, RPNLogLoss=0.049461, RPNL1Loss=0.081802, RCNNAcc=0.836680, RCNNLogLoss=0.488542, RCNNL1Loss=0.235214,
2018-10-22 23:55:00,868 Epoch[0] Batch [40400] Speed: 5.79 samples/sec Train-RPNAcc=0.983771, RPNLogLoss=0.049422, RPNL1Loss=0.081744, RCNNAcc=0.836763, RCNNLogLoss=0.488233, RCNNL1Loss=0.235079,
2018-10-22 23:56:17,707 Epoch[0] Batch [40500] Speed: 5.21 samples/sec Train-RPNAcc=0.983779, RPNLogLoss=0.049403, RPNL1Loss=0.081739, RCNNAcc=0.836843, RCNNLogLoss=0.487927, RCNNL1Loss=0.234952,
2018-10-22 23:57:26,588 Epoch[0] Batch [40600] Speed: 5.81 samples/sec Train-RPNAcc=0.983790, RPNLogLoss=0.049367, RPNL1Loss=0.081710, RCNNAcc=0.836920, RCNNLogLoss=0.487625, RCNNL1Loss=0.234840,
2018-10-22 23:58:37,545 Epoch[0] Batch [40700] Speed: 5.64 samples/sec Train-RPNAcc=0.983802, RPNLogLoss=0.049328, RPNL1Loss=0.081692, RCNNAcc=0.836993, RCNNLogLoss=0.487295, RCNNL1Loss=0.234720,
2018-10-22 23:59:31,485 Epoch[0] Batch [40800] Speed: 7.42 samples/sec Train-RPNAcc=0.983815, RPNLogLoss=0.049291, RPNL1Loss=0.081646, RCNNAcc=0.837045, RCNNLogLoss=0.487033, RCNNL1Loss=0.234620,
2018-10-23 00:00:25,632 Epoch[0] Batch [40900] Speed: 7.39 samples/sec Train-RPNAcc=0.983830, RPNLogLoss=0.049238, RPNL1Loss=0.081581, RCNNAcc=0.837081, RCNNLogLoss=0.486830, RCNNL1Loss=0.234539,
2018-10-23 00:01:19,679 Epoch[0] Batch [41000] Speed: 7.40 samples/sec Train-RPNAcc=0.983837, RPNLogLoss=0.049212, RPNL1Loss=0.081518, RCNNAcc=0.837178, RCNNLogLoss=0.486472, RCNNL1Loss=0.234384,
2018-10-23 00:02:13,330 Epoch[0] Batch [41100] Speed: 7.46 samples/sec Train-RPNAcc=0.983852, RPNLogLoss=0.049171, RPNL1Loss=0.081476, RCNNAcc=0.837250, RCNNLogLoss=0.486174, RCNNL1Loss=0.234235,
2018-10-23 00:03:07,658 Epoch[0] Batch [41200] Speed: 7.36 samples/sec Train-RPNAcc=0.983864, RPNLogLoss=0.049137, RPNL1Loss=0.081412, RCNNAcc=0.837316, RCNNLogLoss=0.485891, RCNNL1Loss=0.234131,
2018-10-23 00:04:01,917 Epoch[0] Batch [41300] Speed: 7.37 samples/sec Train-RPNAcc=0.983873, RPNLogLoss=0.049113, RPNL1Loss=0.081357, RCNNAcc=0.837403, RCNNLogLoss=0.485568, RCNNL1Loss=0.233981,
2018-10-23 00:04:56,348 Epoch[0] Batch [41400] Speed: 7.35 samples/sec Train-RPNAcc=0.983886, RPNLogLoss=0.049068, RPNL1Loss=0.081307, RCNNAcc=0.837464, RCNNLogLoss=0.485312, RCNNL1Loss=0.233873,
2018-10-23 00:05:53,852 Epoch[0] Batch [41500] Speed: 6.96 samples/sec Train-RPNAcc=0.983899, RPNLogLoss=0.049023, RPNL1Loss=0.081281, RCNNAcc=0.837506, RCNNLogLoss=0.485074, RCNNL1Loss=0.233834,
2018-10-23 00:06:50,334 Epoch[0] Batch [41600] Speed: 7.08 samples/sec Train-RPNAcc=0.983908, RPNLogLoss=0.048998, RPNL1Loss=0.081257, RCNNAcc=0.837564, RCNNLogLoss=0.484815, RCNNL1Loss=0.233737,
2018-10-23 00:07:46,093 Epoch[0] Batch [41700] Speed: 7.17 samples/sec Train-RPNAcc=0.983918, RPNLogLoss=0.048962, RPNL1Loss=0.081208, RCNNAcc=0.837639, RCNNLogLoss=0.484502, RCNNL1Loss=0.233637,
2018-10-23 00:08:41,632 Epoch[0] Batch [41800] Speed: 7.20 samples/sec Train-RPNAcc=0.983932, RPNLogLoss=0.048924, RPNL1Loss=0.081144, RCNNAcc=0.837696, RCNNLogLoss=0.484198, RCNNL1Loss=0.233533,
2018-10-23 00:09:36,807 Epoch[0] Batch [41900] Speed: 7.25 samples/sec Train-RPNAcc=0.983941, RPNLogLoss=0.048902, RPNL1Loss=0.081083, RCNNAcc=0.837761, RCNNLogLoss=0.483940, RCNNL1Loss=0.233416,
2018-10-23 00:10:31,620 Epoch[0] Batch [42000] Speed: 7.30 samples/sec Train-RPNAcc=0.983959, RPNLogLoss=0.048854, RPNL1Loss=0.081034, RCNNAcc=0.837835, RCNNLogLoss=0.483666, RCNNL1Loss=0.233292,
2018-10-23 00:11:25,897 Epoch[0] Batch [42100] Speed: 7.37 samples/sec Train-RPNAcc=0.983966, RPNLogLoss=0.048831, RPNL1Loss=0.081024, RCNNAcc=0.837921, RCNNLogLoss=0.483348, RCNNL1Loss=0.233183,
2018-10-23 00:12:19,722 Epoch[0] Batch [42200] Speed: 7.43 samples/sec Train-RPNAcc=0.983976, RPNLogLoss=0.048798, RPNL1Loss=0.080996, RCNNAcc=0.838028, RCNNLogLoss=0.482976, RCNNL1Loss=0.233008,
2018-10-23 00:13:14,426 Epoch[0] Batch [42300] Speed: 7.31 samples/sec Train-RPNAcc=0.983988, RPNLogLoss=0.048759, RPNL1Loss=0.080978, RCNNAcc=0.838141, RCNNLogLoss=0.482569, RCNNL1Loss=0.232840,
2018-10-23 00:14:07,974 Epoch[0] Batch [42400] Speed: 7.47 samples/sec Train-RPNAcc=0.984000, RPNLogLoss=0.048723, RPNL1Loss=0.080944, RCNNAcc=0.838227, RCNNLogLoss=0.482236, RCNNL1Loss=0.232703,
2018-10-23 00:15:02,098 Epoch[0] Batch [42500] Speed: 7.39 samples/sec Train-RPNAcc=0.984005, RPNLogLoss=0.048696, RPNL1Loss=0.080945, RCNNAcc=0.838289, RCNNLogLoss=0.481968, RCNNL1Loss=0.232589,
2018-10-23 00:15:58,840 Epoch[0] Batch [42600] Speed: 7.05 samples/sec Train-RPNAcc=0.984011, RPNLogLoss=0.048673, RPNL1Loss=0.080904, RCNNAcc=0.838344, RCNNLogLoss=0.481766, RCNNL1Loss=0.232505,
2018-10-23 00:17:07,806 Epoch[0] Batch [42700] Speed: 5.80 samples/sec Train-RPNAcc=0.984022, RPNLogLoss=0.048641, RPNL1Loss=0.080845, RCNNAcc=0.838435, RCNNLogLoss=0.481400, RCNNL1Loss=0.232368,
2018-10-23 00:18:23,503 Epoch[0] Batch [42800] Speed: 5.28 samples/sec Train-RPNAcc=0.984040, RPNLogLoss=0.048588, RPNL1Loss=0.080781, RCNNAcc=0.838506, RCNNLogLoss=0.481083, RCNNL1Loss=0.232252,
2018-10-23 00:19:37,982 Epoch[0] Batch [42900] Speed: 5.37 samples/sec Train-RPNAcc=0.984055, RPNLogLoss=0.048546, RPNL1Loss=0.080724, RCNNAcc=0.838560, RCNNLogLoss=0.480815, RCNNL1Loss=0.232184,
2018-10-23 00:20:50,820 Epoch[0] Batch [43000] Speed: 5.49 samples/sec Train-RPNAcc=0.984069, RPNLogLoss=0.048496, RPNL1Loss=0.080679, RCNNAcc=0.838581, RCNNLogLoss=0.480648, RCNNL1Loss=0.232129,
2018-10-23 00:21:45,100 Epoch[0] Batch [43100] Speed: 7.37 samples/sec Train-RPNAcc=0.984074, RPNLogLoss=0.048481, RPNL1Loss=0.080634, RCNNAcc=0.838618, RCNNLogLoss=0.480457, RCNNL1Loss=0.232050,
2018-10-23 00:22:40,067 Epoch[0] Batch [43200] Speed: 7.28 samples/sec Train-RPNAcc=0.984085, RPNLogLoss=0.048454, RPNL1Loss=0.080587, RCNNAcc=0.838668, RCNNLogLoss=0.480224, RCNNL1Loss=0.231970,
2018-10-23 00:23:34,846 Epoch[0] Batch [43300] Speed: 7.30 samples/sec Train-RPNAcc=0.984097, RPNLogLoss=0.048421, RPNL1Loss=0.080553, RCNNAcc=0.838739, RCNNLogLoss=0.479925, RCNNL1Loss=0.231887,
2018-10-23 00:24:29,507 Epoch[0] Batch [43400] Speed: 7.32 samples/sec Train-RPNAcc=0.984099, RPNLogLoss=0.048417, RPNL1Loss=0.080528, RCNNAcc=0.838781, RCNNLogLoss=0.479715, RCNNL1Loss=0.231846,
2018-10-23 00:25:24,499 Epoch[0] Batch [43500] Speed: 7.27 samples/sec Train-RPNAcc=0.984107, RPNLogLoss=0.048397, RPNL1Loss=0.080488, RCNNAcc=0.838808, RCNNLogLoss=0.479501, RCNNL1Loss=0.231816,
2018-10-23 00:26:19,305 Epoch[0] Batch [43600] Speed: 7.30 samples/sec Train-RPNAcc=0.984114, RPNLogLoss=0.048380, RPNL1Loss=0.080458, RCNNAcc=0.838847, RCNNLogLoss=0.479313, RCNNL1Loss=0.231756,
2018-10-23 00:27:16,500 Epoch[0] Batch [43700] Speed: 6.99 samples/sec Train-RPNAcc=0.984123, RPNLogLoss=0.048346, RPNL1Loss=0.080407, RCNNAcc=0.838883, RCNNLogLoss=0.479119, RCNNL1Loss=0.231674,
2018-10-23 00:28:12,989 Epoch[0] Batch [43800] Speed: 7.08 samples/sec Train-RPNAcc=0.984129, RPNLogLoss=0.048330, RPNL1Loss=0.080386, RCNNAcc=0.838912, RCNNLogLoss=0.478933, RCNNL1Loss=0.231614,
2018-10-23 00:29:08,410 Epoch[0] Batch [43900] Speed: 7.22 samples/sec Train-RPNAcc=0.984139, RPNLogLoss=0.048304, RPNL1Loss=0.080380, RCNNAcc=0.838958, RCNNLogLoss=0.478708, RCNNL1Loss=0.231521,
2018-10-23 00:30:02,520 Epoch[0] Batch [44000] Speed: 7.39 samples/sec Train-RPNAcc=0.984144, RPNLogLoss=0.048289, RPNL1Loss=0.080373, RCNNAcc=0.838983, RCNNLogLoss=0.478552, RCNNL1Loss=0.231501,
2018-10-23 00:30:56,975 Epoch[0] Batch [44100] Speed: 7.35 samples/sec Train-RPNAcc=0.984154, RPNLogLoss=0.048263, RPNL1Loss=0.080361, RCNNAcc=0.839039, RCNNLogLoss=0.478305, RCNNL1Loss=0.231408,
2018-10-23 00:31:51,479 Epoch[0] Batch [44200] Speed: 7.34 samples/sec Train-RPNAcc=0.984164, RPNLogLoss=0.048231, RPNL1Loss=0.080313, RCNNAcc=0.839093, RCNNLogLoss=0.478036, RCNNL1Loss=0.231341,
2018-10-23 00:32:46,986 Epoch[0] Batch [44300] Speed: 7.21 samples/sec Train-RPNAcc=0.984172, RPNLogLoss=0.048209, RPNL1Loss=0.080257, RCNNAcc=0.839160, RCNNLogLoss=0.477769, RCNNL1Loss=0.231214,
2018-10-23 00:33:40,995 Epoch[0] Batch [44400] Speed: 7.41 samples/sec Train-RPNAcc=0.984185, RPNLogLoss=0.048173, RPNL1Loss=0.080193, RCNNAcc=0.839217, RCNNLogLoss=0.477508, RCNNL1Loss=0.231095,
2018-10-23 00:34:35,123 Epoch[0] Batch [44500] Speed: 7.39 samples/sec Train-RPNAcc=0.984199, RPNLogLoss=0.048135, RPNL1Loss=0.080138, RCNNAcc=0.839266, RCNNLogLoss=0.477294, RCNNL1Loss=0.230996,
2018-10-23 00:35:29,465 Epoch[0] Batch [44600] Speed: 7.36 samples/sec Train-RPNAcc=0.984211, RPNLogLoss=0.048101, RPNL1Loss=0.080097, RCNNAcc=0.839285, RCNNLogLoss=0.477131, RCNNL1Loss=0.230954,
2018-10-23 00:36:23,256 Epoch[0] Batch [44700] Speed: 7.44 samples/sec Train-RPNAcc=0.984218, RPNLogLoss=0.048082, RPNL1Loss=0.080072, RCNNAcc=0.839354, RCNNLogLoss=0.476855, RCNNL1Loss=0.230837,
2018-10-23 00:37:17,863 Epoch[0] Batch [44800] Speed: 7.33 samples/sec Train-RPNAcc=0.984232, RPNLogLoss=0.048042, RPNL1Loss=0.080060, RCNNAcc=0.839421, RCNNLogLoss=0.476573, RCNNL1Loss=0.230716,
2018-10-23 00:38:16,995 Epoch[0] Batch [44900] Speed: 6.76 samples/sec Train-RPNAcc=0.984250, RPNLogLoss=0.047990, RPNL1Loss=0.080024, RCNNAcc=0.839514, RCNNLogLoss=0.476235, RCNNL1Loss=0.230555,
2018-10-23 00:39:37,442 Epoch[0] Batch [45000] Speed: 4.97 samples/sec Train-RPNAcc=0.984265, RPNLogLoss=0.047946, RPNL1Loss=0.079988, RCNNAcc=0.839597, RCNNLogLoss=0.475913, RCNNL1Loss=0.230414,
2018-10-23 00:40:49,595 Epoch[0] Batch [45100] Speed: 5.54 samples/sec Train-RPNAcc=0.984276, RPNLogLoss=0.047919, RPNL1Loss=0.079939, RCNNAcc=0.839685, RCNNLogLoss=0.475570, RCNNL1Loss=0.230284,
2018-10-23 00:41:59,405 Epoch[0] Batch [45200] Speed: 5.73 samples/sec Train-RPNAcc=0.984281, RPNLogLoss=0.047898, RPNL1Loss=0.079929, RCNNAcc=0.839775, RCNNLogLoss=0.475251, RCNNL1Loss=0.230133,
2018-10-23 00:43:02,442 Epoch[0] Batch [45300] Speed: 6.35 samples/sec Train-RPNAcc=0.984293, RPNLogLoss=0.047863, RPNL1Loss=0.079878, RCNNAcc=0.839874, RCNNLogLoss=0.474896, RCNNL1Loss=0.229980,
2018-10-23 00:43:58,071 Epoch[0] Batch [45400] Speed: 7.19 samples/sec Train-RPNAcc=0.984307, RPNLogLoss=0.047823, RPNL1Loss=0.079815, RCNNAcc=0.839958, RCNNLogLoss=0.474563, RCNNL1Loss=0.229861,
2018-10-23 00:44:53,101 Epoch[0] Batch [45500] Speed: 7.27 samples/sec Train-RPNAcc=0.984315, RPNLogLoss=0.047797, RPNL1Loss=0.079788, RCNNAcc=0.840040, RCNNLogLoss=0.474242, RCNNL1Loss=0.229723,
2018-10-23 00:45:48,534 Epoch[0] Batch [45600] Speed: 7.22 samples/sec Train-RPNAcc=0.984326, RPNLogLoss=0.047768, RPNL1Loss=0.079757, RCNNAcc=0.840117, RCNNLogLoss=0.473980, RCNNL1Loss=0.229592,
2018-10-23 00:46:43,151 Epoch[0] Batch [45700] Speed: 7.32 samples/sec Train-RPNAcc=0.984343, RPNLogLoss=0.047721, RPNL1Loss=0.079687, RCNNAcc=0.840184, RCNNLogLoss=0.473713, RCNNL1Loss=0.229491,
2018-10-23 00:47:37,843 Epoch[0] Batch [45800] Speed: 7.31 samples/sec Train-RPNAcc=0.984348, RPNLogLoss=0.047698, RPNL1Loss=0.079670, RCNNAcc=0.840252, RCNNLogLoss=0.473445, RCNNL1Loss=0.229386,
2018-10-23 00:48:32,497 Epoch[0] Batch [45900] Speed: 7.32 samples/sec Train-RPNAcc=0.984357, RPNLogLoss=0.047667, RPNL1Loss=0.079627, RCNNAcc=0.840351, RCNNLogLoss=0.473077, RCNNL1Loss=0.229234,
2018-10-23 00:49:27,545 Epoch[0] Batch [46000] Speed: 7.27 samples/sec Train-RPNAcc=0.984366, RPNLogLoss=0.047630, RPNL1Loss=0.079628, RCNNAcc=0.840434, RCNNLogLoss=0.472743, RCNNL1Loss=0.229103,
2018-10-23 00:50:22,793 Epoch[0] Batch [46100] Speed: 7.24 samples/sec Train-RPNAcc=0.984376, RPNLogLoss=0.047605, RPNL1Loss=0.079580, RCNNAcc=0.840504, RCNNLogLoss=0.472465, RCNNL1Loss=0.228997,
2018-10-23 00:51:19,350 Epoch[0] Batch [46200] Speed: 7.07 samples/sec Train-RPNAcc=0.984388, RPNLogLoss=0.047566, RPNL1Loss=0.079519, RCNNAcc=0.840541, RCNNLogLoss=0.472278, RCNNL1Loss=0.228926,
2018-10-23 00:52:14,621 Epoch[0] Batch [46300] Speed: 7.24 samples/sec Train-RPNAcc=0.984395, RPNLogLoss=0.047554, RPNL1Loss=0.079510, RCNNAcc=0.840613, RCNNLogLoss=0.472039, RCNNL1Loss=0.228828,
2018-10-23 00:53:08,778 Epoch[0] Batch [46400] Speed: 7.39 samples/sec Train-RPNAcc=0.984409, RPNLogLoss=0.047515, RPNL1Loss=0.079462, RCNNAcc=0.840677, RCNNLogLoss=0.471774, RCNNL1Loss=0.228730,
2018-10-23 00:54:04,108 Epoch[0] Batch [46500] Speed: 7.23 samples/sec Train-RPNAcc=0.984421, RPNLogLoss=0.047476, RPNL1Loss=0.079420, RCNNAcc=0.840728, RCNNLogLoss=0.471545, RCNNL1Loss=0.228634,
2018-10-23 00:54:58,823 Epoch[0] Batch [46600] Speed: 7.31 samples/sec Train-RPNAcc=0.984434, RPNLogLoss=0.047435, RPNL1Loss=0.079377, RCNNAcc=0.840809, RCNNLogLoss=0.471217, RCNNL1Loss=0.228497,
2018-10-23 00:55:53,628 Epoch[0] Batch [46700] Speed: 7.30 samples/sec Train-RPNAcc=0.984439, RPNLogLoss=0.047421, RPNL1Loss=0.079366, RCNNAcc=0.840903, RCNNLogLoss=0.470877, RCNNL1Loss=0.228361,
2018-10-23 00:56:48,077 Epoch[0] Batch [46800] Speed: 7.35 samples/sec Train-RPNAcc=0.984452, RPNLogLoss=0.047384, RPNL1Loss=0.079312, RCNNAcc=0.840975, RCNNLogLoss=0.470584, RCNNL1Loss=0.228260,
2018-10-23 00:57:42,364 Epoch[0] Batch [46900] Speed: 7.37 samples/sec Train-RPNAcc=0.984465, RPNLogLoss=0.047343, RPNL1Loss=0.079274, RCNNAcc=0.841033, RCNNLogLoss=0.470309, RCNNL1Loss=0.228202,
2018-10-23 00:58:36,836 Epoch[0] Batch [47000] Speed: 7.34 samples/sec Train-RPNAcc=0.984478, RPNLogLoss=0.047302, RPNL1Loss=0.079237, RCNNAcc=0.841115, RCNNLogLoss=0.470002, RCNNL1Loss=0.228073,
2018-10-23 00:59:33,067 Epoch[0] Batch [47100] Speed: 7.11 samples/sec Train-RPNAcc=0.984489, RPNLogLoss=0.047265, RPNL1Loss=0.079208, RCNNAcc=0.841194, RCNNLogLoss=0.469702, RCNNL1Loss=0.227961,
2018-10-23 01:00:28,473 Epoch[0] Batch [47200] Speed: 7.22 samples/sec Train-RPNAcc=0.984495, RPNLogLoss=0.047251, RPNL1Loss=0.079145, RCNNAcc=0.841267, RCNNLogLoss=0.469454, RCNNL1Loss=0.227841,
2018-10-23 01:01:35,162 Epoch[0] Batch [47300] Speed: 6.00 samples/sec Train-RPNAcc=0.984502, RPNLogLoss=0.047228, RPNL1Loss=0.079121, RCNNAcc=0.841324, RCNNLogLoss=0.469208, RCNNL1Loss=0.227756,
2018-10-23 01:02:52,227 Epoch[0] Batch [47400] Speed: 5.19 samples/sec Train-RPNAcc=0.984509, RPNLogLoss=0.047206, RPNL1Loss=0.079094, RCNNAcc=0.841406, RCNNLogLoss=0.468921, RCNNL1Loss=0.227616,
2018-10-23 01:04:01,881 Epoch[0] Batch [47500] Speed: 5.74 samples/sec Train-RPNAcc=0.984523, RPNLogLoss=0.047165, RPNL1Loss=0.079043, RCNNAcc=0.841465, RCNNLogLoss=0.468684, RCNNL1Loss=0.227522,
2018-10-23 01:05:20,496 Epoch[0] Batch [47600] Speed: 5.09 samples/sec Train-RPNAcc=0.984533, RPNLogLoss=0.047136, RPNL1Loss=0.078992, RCNNAcc=0.841546, RCNNLogLoss=0.468391, RCNNL1Loss=0.227398,
2018-10-23 01:06:17,328 Epoch[0] Batch [47700] Speed: 7.04 samples/sec Train-RPNAcc=0.984543, RPNLogLoss=0.047103, RPNL1Loss=0.078961, RCNNAcc=0.841585, RCNNLogLoss=0.468213, RCNNL1Loss=0.227304,
2018-10-23 01:07:11,499 Epoch[0] Batch [47800] Speed: 7.38 samples/sec Train-RPNAcc=0.984551, RPNLogLoss=0.047077, RPNL1Loss=0.078939, RCNNAcc=0.841623, RCNNLogLoss=0.468025, RCNNL1Loss=0.227250,
2018-10-23 01:08:05,410 Epoch[0] Batch [47900] Speed: 7.42 samples/sec Train-RPNAcc=0.984554, RPNLogLoss=0.047064, RPNL1Loss=0.078913, RCNNAcc=0.841673, RCNNLogLoss=0.467850, RCNNL1Loss=0.227185,
2018-10-23 01:09:00,400 Epoch[0] Batch [48000] Speed: 7.27 samples/sec Train-RPNAcc=0.984564, RPNLogLoss=0.047034, RPNL1Loss=0.078871, RCNNAcc=0.841742, RCNNLogLoss=0.467595, RCNNL1Loss=0.227070,
2018-10-23 01:09:55,104 Epoch[0] Batch [48100] Speed: 7.31 samples/sec Train-RPNAcc=0.984574, RPNLogLoss=0.047001, RPNL1Loss=0.078807, RCNNAcc=0.841795, RCNNLogLoss=0.467378, RCNNL1Loss=0.226988,
2018-10-23 01:10:49,688 Epoch[0] Batch [48200] Speed: 7.33 samples/sec Train-RPNAcc=0.984586, RPNLogLoss=0.046961, RPNL1Loss=0.078750, RCNNAcc=0.841847, RCNNLogLoss=0.467167, RCNNL1Loss=0.226907,
2018-10-23 01:11:45,950 Epoch[0] Batch [48300] Speed: 7.11 samples/sec Train-RPNAcc=0.984594, RPNLogLoss=0.046934, RPNL1Loss=0.078708, RCNNAcc=0.841909, RCNNLogLoss=0.466886, RCNNL1Loss=0.226812,
2018-10-23 01:12:42,866 Epoch[0] Batch [48400] Speed: 7.03 samples/sec Train-RPNAcc=0.984604, RPNLogLoss=0.046907, RPNL1Loss=0.078639, RCNNAcc=0.841990, RCNNLogLoss=0.466583, RCNNL1Loss=0.226688,
2018-10-23 01:13:37,177 Epoch[0] Batch [48500] Speed: 7.37 samples/sec Train-RPNAcc=0.984610, RPNLogLoss=0.046888, RPNL1Loss=0.078604, RCNNAcc=0.842025, RCNNLogLoss=0.466391, RCNNL1Loss=0.226652,
2018-10-23 01:14:32,131 Epoch[0] Batch [48600] Speed: 7.28 samples/sec Train-RPNAcc=0.984622, RPNLogLoss=0.046850, RPNL1Loss=0.078566, RCNNAcc=0.842054, RCNNLogLoss=0.466217, RCNNL1Loss=0.226584,
2018-10-23 01:15:25,386 Epoch[0] Batch [48700] Speed: 7.51 samples/sec Train-RPNAcc=0.984632, RPNLogLoss=0.046824, RPNL1Loss=0.078541, RCNNAcc=0.842104, RCNNLogLoss=0.465994, RCNNL1Loss=0.226493,
2018-10-23 01:16:18,945 Epoch[0] Batch [48800] Speed: 7.47 samples/sec Train-RPNAcc=0.984639, RPNLogLoss=0.046797, RPNL1Loss=0.078545, RCNNAcc=0.842145, RCNNLogLoss=0.465825, RCNNL1Loss=0.226436,
2018-10-23 01:17:13,993 Epoch[0] Batch [48900] Speed: 7.27 samples/sec Train-RPNAcc=0.984645, RPNLogLoss=0.046774, RPNL1Loss=0.078521, RCNNAcc=0.842194, RCNNLogLoss=0.465599, RCNNL1Loss=0.226340,
2018-10-23 01:18:08,084 Epoch[0] Batch [49000] Speed: 7.40 samples/sec Train-RPNAcc=0.984658, RPNLogLoss=0.046736, RPNL1Loss=0.078472, RCNNAcc=0.842256, RCNNLogLoss=0.465353, RCNNL1Loss=0.226251,
2018-10-23 01:19:02,863 Epoch[0] Batch [49100] Speed: 7.30 samples/sec Train-RPNAcc=0.984671, RPNLogLoss=0.046697, RPNL1Loss=0.078435, RCNNAcc=0.842318, RCNNLogLoss=0.465086, RCNNL1Loss=0.226159,
2018-10-23 01:19:57,914 Epoch[0] Batch [49200] Speed: 7.27 samples/sec Train-RPNAcc=0.984677, RPNLogLoss=0.046675, RPNL1Loss=0.078383, RCNNAcc=0.842371, RCNNLogLoss=0.464913, RCNNL1Loss=0.226089,
2018-10-23 01:20:52,271 Epoch[0] Batch [49300] Speed: 7.36 samples/sec Train-RPNAcc=0.984683, RPNLogLoss=0.046655, RPNL1Loss=0.078371, RCNNAcc=0.842413, RCNNLogLoss=0.464730, RCNNL1Loss=0.226054,
2018-10-23 01:21:46,840 Epoch[0] Batch [49400] Speed: 7.33 samples/sec Train-RPNAcc=0.984694, RPNLogLoss=0.046621, RPNL1Loss=0.078330, RCNNAcc=0.842457, RCNNLogLoss=0.464507, RCNNL1Loss=0.225999,
2018-10-23 01:22:43,673 Epoch[0] Batch [49500] Speed: 7.04 samples/sec Train-RPNAcc=0.984704, RPNLogLoss=0.046591, RPNL1Loss=0.078304, RCNNAcc=0.842502, RCNNLogLoss=0.464310, RCNNL1Loss=0.225944,
2018-10-23 01:23:58,233 Epoch[0] Batch [49600] Speed: 5.36 samples/sec Train-RPNAcc=0.984713, RPNLogLoss=0.046561, RPNL1Loss=0.078264, RCNNAcc=0.842562, RCNNLogLoss=0.464081, RCNNL1Loss=0.225846,
2018-10-23 01:25:10,702 Epoch[0] Batch [49700] Speed: 5.52 samples/sec Train-RPNAcc=0.984724, RPNLogLoss=0.046541, RPNL1Loss=0.078241, RCNNAcc=0.842643, RCNNLogLoss=0.463789, RCNNL1Loss=0.225743,
2018-10-23 01:26:09,234 Epoch[0] Batch [49800] Speed: 6.83 samples/sec Train-RPNAcc=0.984735, RPNLogLoss=0.046511, RPNL1Loss=0.078192, RCNNAcc=0.842700, RCNNLogLoss=0.463572, RCNNL1Loss=0.225667,
2018-10-23 01:27:15,110 Epoch[0] Batch [49900] Speed: 6.07 samples/sec Train-RPNAcc=0.984740, RPNLogLoss=0.046502, RPNL1Loss=0.078175, RCNNAcc=0.842762, RCNNLogLoss=0.463307, RCNNL1Loss=0.225574,
2018-10-23 01:28:36,252 Epoch[0] Batch [50000] Speed: 4.93 samples/sec Train-RPNAcc=0.984751, RPNLogLoss=0.046473, RPNL1Loss=0.078139, RCNNAcc=0.842825, RCNNLogLoss=0.463080, RCNNL1Loss=0.225456,
2018-10-23 01:29:30,915 Epoch[0] Batch [50100] Speed: 7.32 samples/sec Train-RPNAcc=0.984762, RPNLogLoss=0.046442, RPNL1Loss=0.078105, RCNNAcc=0.842887, RCNNLogLoss=0.462846, RCNNL1Loss=0.225361,
2018-10-23 01:30:25,928 Epoch[0] Batch [50200] Speed: 7.27 samples/sec Train-RPNAcc=0.984773, RPNLogLoss=0.046405, RPNL1Loss=0.078069, RCNNAcc=0.842956, RCNNLogLoss=0.462606, RCNNL1Loss=0.225273,
2018-10-23 01:31:19,911 Epoch[0] Batch [50300] Speed: 7.41 samples/sec Train-RPNAcc=0.984785, RPNLogLoss=0.046371, RPNL1Loss=0.078032, RCNNAcc=0.843010, RCNNLogLoss=0.462366, RCNNL1Loss=0.225171,
2018-10-23 01:32:14,474 Epoch[0] Batch [50400] Speed: 7.33 samples/sec Train-RPNAcc=0.984792, RPNLogLoss=0.046347, RPNL1Loss=0.077998, RCNNAcc=0.843047, RCNNLogLoss=0.462203, RCNNL1Loss=0.225099,
2018-10-23 01:33:09,446 Epoch[0] Batch [50500] Speed: 7.28 samples/sec Train-RPNAcc=0.984802, RPNLogLoss=0.046316, RPNL1Loss=0.077962, RCNNAcc=0.843112, RCNNLogLoss=0.461957, RCNNL1Loss=0.224986,
2018-10-23 01:34:04,769 Epoch[0] Batch [50600] Speed: 7.23 samples/sec Train-RPNAcc=0.984808, RPNLogLoss=0.046296, RPNL1Loss=0.077927, RCNNAcc=0.843157, RCNNLogLoss=0.461753, RCNNL1Loss=0.224918,
2018-10-23 01:35:01,723 Epoch[0] Batch [50700] Speed: 7.02 samples/sec Train-RPNAcc=0.984820, RPNLogLoss=0.046263, RPNL1Loss=0.077893, RCNNAcc=0.843221, RCNNLogLoss=0.461502, RCNNL1Loss=0.224820,
2018-10-23 01:35:56,072 Epoch[0] Batch [50800] Speed: 7.36 samples/sec Train-RPNAcc=0.984829, RPNLogLoss=0.046238, RPNL1Loss=0.077832, RCNNAcc=0.843292, RCNNLogLoss=0.461247, RCNNL1Loss=0.224717,
2018-10-23 01:36:50,279 Epoch[0] Batch [50900] Speed: 7.38 samples/sec Train-RPNAcc=0.984835, RPNLogLoss=0.046223, RPNL1Loss=0.077805, RCNNAcc=0.843363, RCNNLogLoss=0.460996, RCNNL1Loss=0.224609,
2018-10-23 01:37:44,046 Epoch[0] Batch [51000] Speed: 7.44 samples/sec Train-RPNAcc=0.984845, RPNLogLoss=0.046195, RPNL1Loss=0.077791, RCNNAcc=0.843401, RCNNLogLoss=0.460807, RCNNL1Loss=0.224552,
2018-10-23 01:38:38,921 Epoch[0] Batch [51100] Speed: 7.29 samples/sec Train-RPNAcc=0.984856, RPNLogLoss=0.046160, RPNL1Loss=0.077762, RCNNAcc=0.843443, RCNNLogLoss=0.460619, RCNNL1Loss=0.224447,
2018-10-23 01:39:32,484 Epoch[0] Batch [51200] Speed: 7.47 samples/sec Train-RPNAcc=0.984862, RPNLogLoss=0.046139, RPNL1Loss=0.077728, RCNNAcc=0.843522, RCNNLogLoss=0.460329, RCNNL1Loss=0.224345,
2018-10-23 01:40:27,289 Epoch[0] Batch [51300] Speed: 7.30 samples/sec Train-RPNAcc=0.984871, RPNLogLoss=0.046111, RPNL1Loss=0.077702, RCNNAcc=0.843579, RCNNLogLoss=0.460113, RCNNL1Loss=0.224260,
2018-10-23 01:41:20,788 Epoch[0] Batch [51400] Speed: 7.48 samples/sec Train-RPNAcc=0.984880, RPNLogLoss=0.046076, RPNL1Loss=0.077664, RCNNAcc=0.843651, RCNNLogLoss=0.459854, RCNNL1Loss=0.224156,
2018-10-23 01:42:14,835 Epoch[0] Batch [51500] Speed: 7.40 samples/sec Train-RPNAcc=0.984889, RPNLogLoss=0.046050, RPNL1Loss=0.077656, RCNNAcc=0.843704, RCNNLogLoss=0.459647, RCNNL1Loss=0.224061,
2018-10-23 01:43:09,704 Epoch[0] Batch [51600] Speed: 7.29 samples/sec Train-RPNAcc=0.984894, RPNLogLoss=0.046032, RPNL1Loss=0.077613, RCNNAcc=0.843739, RCNNLogLoss=0.459494, RCNNL1Loss=0.224008,
2018-10-23 01:44:03,702 Epoch[0] Batch [51700] Speed: 7.41 samples/sec Train-RPNAcc=0.984903, RPNLogLoss=0.046007, RPNL1Loss=0.077605, RCNNAcc=0.843784, RCNNLogLoss=0.459298, RCNNL1Loss=0.223936,
2018-10-23 01:45:01,626 Epoch[0] Batch [51800] Speed: 6.91 samples/sec Train-RPNAcc=0.984913, RPNLogLoss=0.045975, RPNL1Loss=0.077561, RCNNAcc=0.843837, RCNNLogLoss=0.459098, RCNNL1Loss=0.223840,
2018-10-23 01:46:20,075 Epoch[0] Batch [51900] Speed: 5.10 samples/sec Train-RPNAcc=0.984924, RPNLogLoss=0.045951, RPNL1Loss=0.077533, RCNNAcc=0.843869, RCNNLogLoss=0.458954, RCNNL1Loss=0.223771,
2018-10-23 01:47:32,292 Epoch[0] Batch [52000] Speed: 5.54 samples/sec Train-RPNAcc=0.984933, RPNLogLoss=0.045920, RPNL1Loss=0.077504, RCNNAcc=0.843922, RCNNLogLoss=0.458733, RCNNL1Loss=0.223695,
2018-10-23 01:48:41,986 Epoch[0] Batch [52100] Speed: 5.74 samples/sec Train-RPNAcc=0.984942, RPNLogLoss=0.045891, RPNL1Loss=0.077481, RCNNAcc=0.843960, RCNNLogLoss=0.458543, RCNNL1Loss=0.223631,
2018-10-23 01:49:58,258 Epoch[0] Batch [52200] Speed: 5.24 samples/sec Train-RPNAcc=0.984952, RPNLogLoss=0.045868, RPNL1Loss=0.077450, RCNNAcc=0.843992, RCNNLogLoss=0.458408, RCNNL1Loss=0.223583,
2018-10-23 01:50:53,009 Epoch[0] Batch [52300] Speed: 7.31 samples/sec Train-RPNAcc=0.984964, RPNLogLoss=0.045836, RPNL1Loss=0.077412, RCNNAcc=0.844043, RCNNLogLoss=0.458185, RCNNL1Loss=0.223501,
2018-10-23 01:51:46,770 Epoch[0] Batch [52400] Speed: 7.44 samples/sec Train-RPNAcc=0.984971, RPNLogLoss=0.045814, RPNL1Loss=0.077382, RCNNAcc=0.844086, RCNNLogLoss=0.457998, RCNNL1Loss=0.223450,
2018-10-23 01:52:41,012 Epoch[0] Batch [52500] Speed: 7.37 samples/sec Train-RPNAcc=0.984982, RPNLogLoss=0.045780, RPNL1Loss=0.077341, RCNNAcc=0.844121, RCNNLogLoss=0.457821, RCNNL1Loss=0.223372,
2018-10-23 01:53:35,553 Epoch[0] Batch [52600] Speed: 7.33 samples/sec Train-RPNAcc=0.984990, RPNLogLoss=0.045750, RPNL1Loss=0.077287, RCNNAcc=0.844168, RCNNLogLoss=0.457636, RCNNL1Loss=0.223286,
2018-10-23 01:54:30,393 Epoch[0] Batch [52700] Speed: 7.29 samples/sec Train-RPNAcc=0.984999, RPNLogLoss=0.045725, RPNL1Loss=0.077261, RCNNAcc=0.844211, RCNNLogLoss=0.457496, RCNNL1Loss=0.223207,
2018-10-23 01:55:27,589 Epoch[0] Batch [52800] Speed: 6.99 samples/sec Train-RPNAcc=0.985010, RPNLogLoss=0.045692, RPNL1Loss=0.077216, RCNNAcc=0.844270, RCNNLogLoss=0.457271, RCNNL1Loss=0.223124,
2018-10-23 01:56:24,084 Epoch[0] Batch [52900] Speed: 7.08 samples/sec Train-RPNAcc=0.985022, RPNLogLoss=0.045658, RPNL1Loss=0.077186, RCNNAcc=0.844340, RCNNLogLoss=0.457012, RCNNL1Loss=0.223028,
2018-10-23 01:57:19,185 Epoch[0] Batch [53000] Speed: 7.26 samples/sec Train-RPNAcc=0.985025, RPNLogLoss=0.045649, RPNL1Loss=0.077183, RCNNAcc=0.844392, RCNNLogLoss=0.456806, RCNNL1Loss=0.222955,
2018-10-23 01:58:14,728 Epoch[0] Batch [53100] Speed: 7.20 samples/sec Train-RPNAcc=0.985032, RPNLogLoss=0.045626, RPNL1Loss=0.077140, RCNNAcc=0.844431, RCNNLogLoss=0.456606, RCNNL1Loss=0.222860,
2018-10-23 01:59:08,676 Epoch[0] Batch [53200] Speed: 7.41 samples/sec Train-RPNAcc=0.985041, RPNLogLoss=0.045598, RPNL1Loss=0.077094, RCNNAcc=0.844470, RCNNLogLoss=0.456423, RCNNL1Loss=0.222784,
2018-10-23 02:00:03,536 Epoch[0] Batch [53300] Speed: 7.29 samples/sec Train-RPNAcc=0.985048, RPNLogLoss=0.045577, RPNL1Loss=0.077079, RCNNAcc=0.844518, RCNNLogLoss=0.456226, RCNNL1Loss=0.222723,
2018-10-23 02:00:58,093 Epoch[0] Batch [53400] Speed: 7.33 samples/sec Train-RPNAcc=0.985060, RPNLogLoss=0.045543, RPNL1Loss=0.077033, RCNNAcc=0.844572, RCNNLogLoss=0.456024, RCNNL1Loss=0.222639,
2018-10-23 02:01:52,168 Epoch[0] Batch [53500] Speed: 7.40 samples/sec Train-RPNAcc=0.985068, RPNLogLoss=0.045513, RPNL1Loss=0.076999, RCNNAcc=0.844609, RCNNLogLoss=0.455810, RCNNL1Loss=0.222570,
2018-10-23 02:02:46,879 Epoch[0] Batch [53600] Speed: 7.31 samples/sec Train-RPNAcc=0.985076, RPNLogLoss=0.045489, RPNL1Loss=0.076969, RCNNAcc=0.844676, RCNNLogLoss=0.455570, RCNNL1Loss=0.222453,
2018-10-23 02:03:41,315 Epoch[0] Batch [53700] Speed: 7.35 samples/sec Train-RPNAcc=0.985081, RPNLogLoss=0.045474, RPNL1Loss=0.076953, RCNNAcc=0.844719, RCNNLogLoss=0.455380, RCNNL1Loss=0.222415,
2018-10-23 02:04:35,681 Epoch[0] Batch [53800] Speed: 7.36 samples/sec Train-RPNAcc=0.985091, RPNLogLoss=0.045447, RPNL1Loss=0.076926, RCNNAcc=0.844754, RCNNLogLoss=0.455230, RCNNL1Loss=0.222368,
2018-10-23 02:05:31,616 Epoch[0] Batch [53900] Speed: 7.15 samples/sec Train-RPNAcc=0.985097, RPNLogLoss=0.045426, RPNL1Loss=0.076906, RCNNAcc=0.844792, RCNNLogLoss=0.455020, RCNNL1Loss=0.222306,
2018-10-23 02:06:33,015 Epoch[0] Batch [54000] Speed: 6.51 samples/sec Train-RPNAcc=0.985108, RPNLogLoss=0.045397, RPNL1Loss=0.076879, RCNNAcc=0.844823, RCNNLogLoss=0.454894, RCNNL1Loss=0.222231,
2018-10-23 02:07:50,205 Epoch[0] Batch [54100] Speed: 5.18 samples/sec Train-RPNAcc=0.985115, RPNLogLoss=0.045380, RPNL1Loss=0.076865, RCNNAcc=0.844898, RCNNLogLoss=0.454630, RCNNL1Loss=0.222111,
2018-10-23 02:09:02,402 Epoch[0] Batch [54200] Speed: 5.54 samples/sec Train-RPNAcc=0.985120, RPNLogLoss=0.045362, RPNL1Loss=0.076849, RCNNAcc=0.844951, RCNNLogLoss=0.454426, RCNNL1Loss=0.222044,
2018-10-23 02:10:14,096 Epoch[0] Batch [54300] Speed: 5.58 samples/sec Train-RPNAcc=0.985127, RPNLogLoss=0.045342, RPNL1Loss=0.076824, RCNNAcc=0.845005, RCNNLogLoss=0.454184, RCNNL1Loss=0.221961,
2018-10-23 02:11:34,785 Epoch[0] Batch [54400] Speed: 4.96 samples/sec Train-RPNAcc=0.985136, RPNLogLoss=0.045315, RPNL1Loss=0.076804, RCNNAcc=0.845078, RCNNLogLoss=0.453934, RCNNL1Loss=0.221859,
2018-10-23 02:12:29,512 Epoch[0] Batch [54500] Speed: 7.31 samples/sec Train-RPNAcc=0.985148, RPNLogLoss=0.045280, RPNL1Loss=0.076760, RCNNAcc=0.845125, RCNNLogLoss=0.453753, RCNNL1Loss=0.221779,
2018-10-23 02:13:24,362 Epoch[0] Batch [54600] Speed: 7.29 samples/sec Train-RPNAcc=0.985156, RPNLogLoss=0.045258, RPNL1Loss=0.076772, RCNNAcc=0.845169, RCNNLogLoss=0.453558, RCNNL1Loss=0.221697,
2018-10-23 02:14:20,443 Epoch[0] Batch [54700] Speed: 7.13 samples/sec Train-RPNAcc=0.985166, RPNLogLoss=0.045233, RPNL1Loss=0.076737, RCNNAcc=0.845245, RCNNLogLoss=0.453284, RCNNL1Loss=0.221591,
2018-10-23 02:15:15,809 Epoch[0] Batch [54800] Speed: 7.22 samples/sec Train-RPNAcc=0.985176, RPNLogLoss=0.045199, RPNL1Loss=0.076691, RCNNAcc=0.845287, RCNNLogLoss=0.453113, RCNNL1Loss=0.221513,
2018-10-23 02:16:11,466 Epoch[0] Batch [54900] Speed: 7.19 samples/sec Train-RPNAcc=0.985184, RPNLogLoss=0.045178, RPNL1Loss=0.076660, RCNNAcc=0.845323, RCNNLogLoss=0.452963, RCNNL1Loss=0.221457,
2018-10-23 02:16:15,057 Epoch[0] Train-RPNAcc=0.985183 2018-10-23 02:16:15,057 Epoch[0] Train-RPNLogLoss=0.045179 2018-10-23 02:16:15,057 Epoch[0] Train-RPNL1Loss=0.076656 2018-10-23 02:16:15,057 Epoch[0] Train-RCNNAcc=0.845325 2018-10-23 02:16:15,057 Epoch[0] Train-RCNNLogLoss=0.452953 2018-10-23 02:16:15,058 Epoch[0] Train-RCNNL1Loss=0.221455 2018-10-23 02:16:15,058 Epoch[0] Time cost=31641.701