----------- Configuration Arguments ----------- gpus: None heter_worker_num: None heter_workers: http_port: None ips: 127.0.0.1 log_dir: log nproc_per_node: None server_num: None servers: training_script: train.py training_script_args: ['--config', '/ssd1/home/xxx/github/PaddleSeg/configs/panoptic_deeplab/panoptic_deeplab_resnet50_os32_cityscapes_1025x513_bs8_90k_lr00005.yml', '--save_interval', '5000', '--save_dir', 'examples/panoptic_deeplab/output/panoptic_deeplab_resnet50_os32_cityscapes_1025x513_bs8_90k_lr00005', '--num_workers', '4', '--log_iters', '100', '--use_vdl'] worker_num: None workers: ------------------------------------------------ 2021-04-13 16:38:21 [INFO] ------------Environment Information------------- platform: Linux-3.10.0-1062.18.1.el7.x86_64-x86_64-with-centos-7.7.1908-Core Python: 3.7.10 (default, Feb 26 2021, 18:47:35) [GCC 7.3.0] Paddle compiled with cuda: True NVCC: Cuda compilation tools, release 10.2, V10.2.89 cudnn: 7.6 GPUs used: 8 CUDA_VISIBLE_DEVICES: 0,1,2,3,4,5,6,7 GPU: ['GPU 0: Tesla V100-SXM2-32GB', 'GPU 1: Tesla V100-SXM2-32GB', 'GPU 2: Tesla V100-SXM2-32GB', 'GPU 3: Tesla V100-SXM2-32GB', 'GPU 4: Tesla V100-SXM2-32GB', 'GPU 5: Tesla V100-SXM2-32GB', 'GPU 6: Tesla V100-SXM2-32GB', 'GPU 7: Tesla V100-SXM2-32GB'] GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39) PaddlePaddle: 2.0.1 OpenCV: 4.5.1 ------------------------------------------------ 2021-04-13 16:38:23 [INFO] ---------------Config Information--------------- batch_size: 8 iters: 90000 learning_rate: decay: end_lr: 0.0 power: 0.9 type: poly value: 5.0e-05 loss: coef: - 1 - 200 - 0.001 types: - ignore_index: 255 top_k_percent_pixels: 0.2 type: CrossEntropyLoss - ignore_index: 255 reduction: none type: MSELoss - ignore_index: 255 reduction: none type: L1Loss model: align_corners: true aspp_out_channels: 256 aspp_ratios: - 1 - 3 - 6 - 9 backbone: output_stride: 32 pretrained: https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz type: ResNet50_vd backbone_indices: - 2 - 1 - 0 - 3 decoder_channels: 256 instance_aspp_out_channels: 256 instance_class_key: - center - offset instance_decoder_channels: 128 instance_head_channels: 32 instance_low_level_channels_projects: - 64 - 32 - 16 instance_num_classes: - 1 - 2 low_level_channels_projects: - 128 - 64 - 32 type: PanopticDeepLab optimizer: type: adam train_dataset: dataset_root: data/cityscapes ignore_stuff_in_offset: true mode: train small_instance_area: 4096 small_instance_weight: 3 transforms: - max_scale_factor: 2.0 min_scale_factor: 0.5 scale_step_size: 0.25 type: ResizeStepScaling - crop_size: - 1025 - 513 label_padding_value: - 0 - 0 - 0 type: RandomPaddingCrop - type: RandomHorizontalFlip - brightness_range: 0.4 contrast_range: 0.4 saturation_range: 0.4 type: RandomDistort - type: Normalize type: CityscapesPanoptic val_dataset: dataset_root: data/cityscapes ignore_stuff_in_offset: true mode: val small_instance_area: 4096 small_instance_weight: 3 transforms: - label_padding_value: - 0 - 0 - 0 target_size: - 2049 - 1025 type: Padding - type: Normalize type: CityscapesPanoptic ------------------------------------------------ W0413 16:38:25.413547 32023 device_context.cc:362] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.2, Runtime API Version: 10.1 W0413 16:38:25.413612 32023 device_context.cc:372] device: 0, cuDNN Version: 7.6. 2021-04-13 16:38:30 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz 2021-04-13 16:38:30,753 - INFO - Lock 139744332426768 acquired on /ssd1/home/chenguowei01/.paddleseg/tmp/resnet50_vd_ssld_v2 2021-04-13 16:38:30,754 - INFO - Lock 139744332426768 released on /ssd1/home/chenguowei01/.paddleseg/tmp/resnet50_vd_ssld_v2 2021-04-13 16:38:31 [INFO] There are 275/275 variables loaded into ResNet_vd. W0413 16:38:33.351958 32023 nccl_context.cc:142] Socket connect worker 127.0.0.1:42311 failed, try again after 3 seconds. I0413 16:38:36.352931 32023 nccl_context.cc:189] init nccl context nranks: 8 local rank: 0 gpu id: 0 ring id: 0 2021-04-13 16:40:52 [INFO] [TRAIN] epoch=3, iter=100/90000, loss=45.5476, lr=0.000050, batch_cost=1.2763, reader_cost=0.23835, ips=6.2683 samples/sec | ETA 31:52:15 2021-04-13 16:40:52 [INFO] [LOSS] loss=45.5476, semantic_loss=3.3693, center_loss=36.2059, offset_loss=5.9725 2021-04-13 16:42:53 [INFO] [TRAIN] epoch=5, iter=200/90000, loss=14.1654, lr=0.000050, batch_cost=1.2100, reader_cost=0.20764, ips=6.6115 samples/sec | ETA 30:10:59 2021-04-13 16:42:53 [INFO] [LOSS] loss=14.1654, semantic_loss=2.4985, center_loss=4.2043, offset_loss=7.4626 2021-04-13 16:44:55 [INFO] [TRAIN] epoch=7, iter=300/90000, loss=10.7149, lr=0.000050, batch_cost=1.2129, reader_cost=0.25643, ips=6.5958 samples/sec | ETA 30:13:16 2021-04-13 16:44:55 [INFO] [LOSS] loss=10.7149, semantic_loss=2.0810, center_loss=2.1462, offset_loss=6.4877 2021-04-13 16:46:54 [INFO] [TRAIN] epoch=9, iter=400/90000, loss=8.6462, lr=0.000050, batch_cost=1.1939, reader_cost=0.23756, ips=6.7009 samples/sec | ETA 29:42:50 2021-04-13 16:46:54 [INFO] [LOSS] loss=8.6462, semantic_loss=1.8080, center_loss=1.4695, offset_loss=5.3687 2021-04-13 16:48:54 [INFO] [TRAIN] epoch=11, iter=500/90000, loss=9.0744, lr=0.000050, batch_cost=1.1967, reader_cost=0.23712, ips=6.6853 samples/sec | ETA 29:45:00 2021-04-13 16:48:54 [INFO] [LOSS] loss=9.0744, semantic_loss=1.5956, center_loss=1.1448, offset_loss=6.3340 2021-04-13 16:51:02 [INFO] [TRAIN] epoch=14, iter=600/90000, loss=7.8652, lr=0.000050, batch_cost=1.2735, reader_cost=0.31912, ips=6.2821 samples/sec | ETA 31:37:27 2021-04-13 16:51:02 [INFO] [LOSS] loss=7.8652, semantic_loss=1.4753, center_loss=0.9780, offset_loss=5.4119 2021-04-13 16:53:02 [INFO] [TRAIN] epoch=16, iter=700/90000, loss=7.9087, lr=0.000050, batch_cost=1.2020, reader_cost=0.24524, ips=6.6556 samples/sec | ETA 29:48:58 2021-04-13 16:53:02 [INFO] [LOSS] loss=7.9087, semantic_loss=1.4454, center_loss=0.9056, offset_loss=5.5577 2021-04-13 16:55:04 [INFO] [TRAIN] epoch=18, iter=800/90000, loss=7.0664, lr=0.000050, batch_cost=1.2171, reader_cost=0.24737, ips=6.5730 samples/sec | ETA 30:09:24 2021-04-13 16:55:04 [INFO] [LOSS] loss=7.0664, semantic_loss=1.3736, center_loss=0.8562, offset_loss=4.8366 2021-04-13 16:57:04 [INFO] [TRAIN] epoch=20, iter=900/90000, loss=6.7778, lr=0.000050, batch_cost=1.1931, reader_cost=0.22949, ips=6.7052 samples/sec | ETA 29:31:45 2021-04-13 16:57:04 [INFO] [LOSS] loss=6.7778, semantic_loss=1.3297, center_loss=0.7977, offset_loss=4.6503 2021-04-13 16:59:06 [INFO] [TRAIN] epoch=22, iter=1000/90000, loss=5.0053, lr=0.000050, batch_cost=1.2193, reader_cost=0.26772, ips=6.5612 samples/sec | ETA 30:08:36 2021-04-13 16:59:06 [INFO] [LOSS] loss=5.0053, semantic_loss=1.2593, center_loss=0.7426, offset_loss=3.0033 2021-04-13 17:01:05 [INFO] [TRAIN] epoch=24, iter=1100/90000, loss=4.7334, lr=0.000049, batch_cost=1.1891, reader_cost=0.23948, ips=6.7276 samples/sec | ETA 29:21:54 2021-04-13 17:01:05 [INFO] [LOSS] loss=4.7334, semantic_loss=1.1657, center_loss=0.6800, offset_loss=2.8877 2021-04-13 17:03:12 [INFO] [TRAIN] epoch=27, iter=1200/90000, loss=4.2716, lr=0.000049, batch_cost=1.2704, reader_cost=0.32092, ips=6.2971 samples/sec | ETA 31:20:14 2021-04-13 17:03:12 [INFO] [LOSS] loss=4.2716, semantic_loss=1.1531, center_loss=0.6158, offset_loss=2.5027 2021-04-13 17:05:12 [INFO] [TRAIN] epoch=29, iter=1300/90000, loss=4.1264, lr=0.000049, batch_cost=1.1957, reader_cost=0.23046, ips=6.6905 samples/sec | ETA 29:27:40 2021-04-13 17:05:12 [INFO] [LOSS] loss=4.1264, semantic_loss=1.1324, center_loss=0.5738, offset_loss=2.4203 2021-04-13 17:07:12 [INFO] [TRAIN] epoch=31, iter=1400/90000, loss=4.3938, lr=0.000049, batch_cost=1.2030, reader_cost=0.24357, ips=6.6501 samples/sec | ETA 29:36:25 2021-04-13 17:07:12 [INFO] [LOSS] loss=4.3938, semantic_loss=1.0941, center_loss=0.5352, offset_loss=2.7644 2021-04-13 17:09:13 [INFO] [TRAIN] epoch=33, iter=1500/90000, loss=3.3558, lr=0.000049, batch_cost=1.2053, reader_cost=0.25047, ips=6.6372 samples/sec | ETA 29:37:52 2021-04-13 17:09:13 [INFO] [LOSS] loss=3.3558, semantic_loss=1.0797, center_loss=0.5144, offset_loss=1.7617 2021-04-13 17:11:14 [INFO] [TRAIN] epoch=35, iter=1600/90000, loss=3.6483, lr=0.000049, batch_cost=1.2074, reader_cost=0.22858, ips=6.6257 samples/sec | ETA 29:38:55 2021-04-13 17:11:14 [INFO] [LOSS] loss=3.6483, semantic_loss=1.0799, center_loss=0.4740, offset_loss=2.0944 2021-04-13 17:13:13 [INFO] [TRAIN] epoch=37, iter=1700/90000, loss=3.0449, lr=0.000049, batch_cost=1.1871, reader_cost=0.22310, ips=6.7388 samples/sec | ETA 29:07:05 2021-04-13 17:13:13 [INFO] [LOSS] loss=3.0449, semantic_loss=1.0200, center_loss=0.4664, offset_loss=1.5585 2021-04-13 17:15:21 [INFO] [TRAIN] epoch=40, iter=1800/90000, loss=3.7401, lr=0.000049, batch_cost=1.2864, reader_cost=0.32562, ips=6.2187 samples/sec | ETA 31:31:04 2021-04-13 17:15:21 [INFO] [LOSS] loss=3.7401, semantic_loss=1.0252, center_loss=0.4313, offset_loss=2.2835 2021-04-13 17:17:22 [INFO] [TRAIN] epoch=42, iter=1900/90000, loss=3.2430, lr=0.000049, batch_cost=1.2068, reader_cost=0.25350, ips=6.6290 samples/sec | ETA 29:32:00 2021-04-13 17:17:22 [INFO] [LOSS] loss=3.2430, semantic_loss=1.0368, center_loss=0.4236, offset_loss=1.7826 2021-04-13 17:19:22 [INFO] [TRAIN] epoch=44, iter=2000/90000, loss=3.1771, lr=0.000049, batch_cost=1.1970, reader_cost=0.24485, ips=6.6834 samples/sec | ETA 29:15:35 2021-04-13 17:19:22 [INFO] [LOSS] loss=3.1771, semantic_loss=1.0166, center_loss=0.4013, offset_loss=1.7591 2021-04-13 17:21:21 [INFO] [TRAIN] epoch=46, iter=2100/90000, loss=2.6362, lr=0.000049, batch_cost=1.1926, reader_cost=0.22996, ips=6.7082 samples/sec | ETA 29:07:06 2021-04-13 17:21:21 [INFO] [LOSS] loss=2.6362, semantic_loss=0.9919, center_loss=0.3971, offset_loss=1.2472 2021-04-13 17:23:22 [INFO] [TRAIN] epoch=48, iter=2200/90000, loss=2.5103, lr=0.000049, batch_cost=1.2014, reader_cost=0.23570, ips=6.6591 samples/sec | ETA 29:18:00 2021-04-13 17:23:22 [INFO] [LOSS] loss=2.5103, semantic_loss=0.9469, center_loss=0.3756, offset_loss=1.1878 2021-04-13 17:25:22 [INFO] [TRAIN] epoch=50, iter=2300/90000, loss=2.5012, lr=0.000049, batch_cost=1.2006, reader_cost=0.25004, ips=6.6634 samples/sec | ETA 29:14:52 2021-04-13 17:25:22 [INFO] [LOSS] loss=2.5012, semantic_loss=0.8934, center_loss=0.3600, offset_loss=1.2477 2021-04-13 17:27:31 [INFO] [TRAIN] epoch=53, iter=2400/90000, loss=2.8652, lr=0.000049, batch_cost=1.2848, reader_cost=0.31674, ips=6.2264 samples/sec | ETA 31:15:52 2021-04-13 17:27:31 [INFO] [LOSS] loss=2.8652, semantic_loss=0.9078, center_loss=0.3664, offset_loss=1.5910 2021-04-13 17:29:32 [INFO] [TRAIN] epoch=55, iter=2500/90000, loss=2.3752, lr=0.000049, batch_cost=1.2086, reader_cost=0.23592, ips=6.6195 samples/sec | ETA 29:22:28 2021-04-13 17:29:32 [INFO] [LOSS] loss=2.3752, semantic_loss=0.9211, center_loss=0.3740, offset_loss=1.0800 2021-04-13 17:31:31 [INFO] [TRAIN] epoch=57, iter=2600/90000, loss=2.6472, lr=0.000049, batch_cost=1.1971, reader_cost=0.22994, ips=6.6829 samples/sec | ETA 29:03:44 2021-04-13 17:31:31 [INFO] [LOSS] loss=2.6472, semantic_loss=0.8981, center_loss=0.3288, offset_loss=1.4204 2021-04-13 17:33:31 [INFO] [TRAIN] epoch=59, iter=2700/90000, loss=2.3473, lr=0.000049, batch_cost=1.1933, reader_cost=0.23400, ips=6.7042 samples/sec | ETA 28:56:13 2021-04-13 17:33:31 [INFO] [LOSS] loss=2.3473, semantic_loss=0.8886, center_loss=0.3287, offset_loss=1.1299 2021-04-13 17:35:31 [INFO] [TRAIN] epoch=61, iter=2800/90000, loss=2.3217, lr=0.000049, batch_cost=1.1972, reader_cost=0.23444, ips=6.6823 samples/sec | ETA 28:59:55 2021-04-13 17:35:31 [INFO] [LOSS] loss=2.3217, semantic_loss=0.9204, center_loss=0.3173, offset_loss=1.0841 2021-04-13 17:37:38 [INFO] [TRAIN] epoch=64, iter=2900/90000, loss=2.4469, lr=0.000049, batch_cost=1.2652, reader_cost=0.29841, ips=6.3233 samples/sec | ETA 30:36:35 2021-04-13 17:37:38 [INFO] [LOSS] loss=2.4469, semantic_loss=0.8418, center_loss=0.3174, offset_loss=1.2877 2021-04-13 17:39:37 [INFO] [TRAIN] epoch=66, iter=3000/90000, loss=2.1874, lr=0.000048, batch_cost=1.1975, reader_cost=0.22420, ips=6.6808 samples/sec | ETA 28:56:18 2021-04-13 17:39:37 [INFO] [LOSS] loss=2.1874, semantic_loss=0.8698, center_loss=0.3208, offset_loss=0.9969 2021-04-13 17:41:38 [INFO] [TRAIN] epoch=68, iter=3100/90000, loss=2.4229, lr=0.000048, batch_cost=1.2027, reader_cost=0.23903, ips=6.6516 samples/sec | ETA 29:01:56 2021-04-13 17:41:38 [INFO] [LOSS] loss=2.4229, semantic_loss=0.8719, center_loss=0.3231, offset_loss=1.2279 2021-04-13 17:43:38 [INFO] [TRAIN] epoch=70, iter=3200/90000, loss=2.1302, lr=0.000048, batch_cost=1.1997, reader_cost=0.24741, ips=6.6681 samples/sec | ETA 28:55:37 2021-04-13 17:43:38 [INFO] [LOSS] loss=2.1302, semantic_loss=0.8689, center_loss=0.2977, offset_loss=0.9636 2021-04-13 17:45:39 [INFO] [TRAIN] epoch=72, iter=3300/90000, loss=2.2233, lr=0.000048, batch_cost=1.2061, reader_cost=0.24597, ips=6.6332 samples/sec | ETA 29:02:45 2021-04-13 17:45:39 [INFO] [LOSS] loss=2.2233, semantic_loss=0.8136, center_loss=0.2984, offset_loss=1.1114 2021-04-13 17:47:38 [INFO] [TRAIN] epoch=74, iter=3400/90000, loss=2.2432, lr=0.000048, batch_cost=1.1885, reader_cost=0.23015, ips=6.7311 samples/sec | ETA 28:35:24 2021-04-13 17:47:38 [INFO] [LOSS] loss=2.2432, semantic_loss=0.8127, center_loss=0.2906, offset_loss=1.1400 2021-04-13 17:49:44 [INFO] [TRAIN] epoch=77, iter=3500/90000, loss=2.0595, lr=0.000048, batch_cost=1.2640, reader_cost=0.30696, ips=6.3290 samples/sec | ETA 30:22:18 2021-04-13 17:49:44 [INFO] [LOSS] loss=2.0595, semantic_loss=0.8367, center_loss=0.2856, offset_loss=0.9372 2021-04-13 17:51:46 [INFO] [TRAIN] epoch=79, iter=3600/90000, loss=2.1007, lr=0.000048, batch_cost=1.2166, reader_cost=0.25433, ips=6.5756 samples/sec | ETA 29:11:55 2021-04-13 17:51:46 [INFO] [LOSS] loss=2.1007, semantic_loss=0.8068, center_loss=0.2760, offset_loss=1.0178 2021-04-13 17:53:46 [INFO] [TRAIN] epoch=81, iter=3700/90000, loss=2.2620, lr=0.000048, batch_cost=1.1970, reader_cost=0.23725, ips=6.6835 samples/sec | ETA 28:41:39 2021-04-13 17:53:46 [INFO] [LOSS] loss=2.2620, semantic_loss=0.7970, center_loss=0.2847, offset_loss=1.1804 2021-04-13 17:55:46 [INFO] [TRAIN] epoch=83, iter=3800/90000, loss=1.9917, lr=0.000048, batch_cost=1.1991, reader_cost=0.22628, ips=6.6714 samples/sec | ETA 28:42:46 2021-04-13 17:55:46 [INFO] [LOSS] loss=1.9917, semantic_loss=0.7998, center_loss=0.2856, offset_loss=0.9063 2021-04-13 17:57:46 [INFO] [TRAIN] epoch=85, iter=3900/90000, loss=1.9926, lr=0.000048, batch_cost=1.1965, reader_cost=0.23770, ips=6.6860 samples/sec | ETA 28:37:01 2021-04-13 17:57:46 [INFO] [LOSS] loss=1.9926, semantic_loss=0.8076, center_loss=0.2731, offset_loss=0.9120 2021-04-13 17:59:45 [INFO] [TRAIN] epoch=87, iter=4000/90000, loss=1.8314, lr=0.000048, batch_cost=1.1889, reader_cost=0.22976, ips=6.7292 samples/sec | ETA 28:24:01 2021-04-13 17:59:45 [INFO] [LOSS] loss=1.8314, semantic_loss=0.8068, center_loss=0.2575, offset_loss=0.7672 2021-04-13 18:01:55 [INFO] [TRAIN] epoch=90, iter=4100/90000, loss=2.0753, lr=0.000048, batch_cost=1.2984, reader_cost=0.34448, ips=6.1615 samples/sec | ETA 30:58:51 2021-04-13 18:01:55 [INFO] [LOSS] loss=2.0753, semantic_loss=0.8276, center_loss=0.2749, offset_loss=0.9728 2021-04-13 18:03:55 [INFO] [TRAIN] epoch=92, iter=4200/90000, loss=1.8072, lr=0.000048, batch_cost=1.1988, reader_cost=0.23387, ips=6.6732 samples/sec | ETA 28:34:19 2021-04-13 18:03:55 [INFO] [LOSS] loss=1.8072, semantic_loss=0.7837, center_loss=0.2578, offset_loss=0.7657 2021-04-13 18:05:57 [INFO] [TRAIN] epoch=94, iter=4300/90000, loss=1.7820, lr=0.000048, batch_cost=1.2171, reader_cost=0.25732, ips=6.5732 samples/sec | ETA 28:58:22 2021-04-13 18:05:57 [INFO] [LOSS] loss=1.7820, semantic_loss=0.7658, center_loss=0.2639, offset_loss=0.7523 2021-04-13 18:07:57 [INFO] [TRAIN] epoch=96, iter=4400/90000, loss=1.8416, lr=0.000048, batch_cost=1.2001, reader_cost=0.23798, ips=6.6663 samples/sec | ETA 28:32:05 2021-04-13 18:07:57 [INFO] [LOSS] loss=1.8416, semantic_loss=0.7455, center_loss=0.2518, offset_loss=0.8443 2021-04-13 18:09:57 [INFO] [TRAIN] epoch=98, iter=4500/90000, loss=1.8757, lr=0.000048, batch_cost=1.1978, reader_cost=0.22581, ips=6.6791 samples/sec | ETA 28:26:49 2021-04-13 18:09:57 [INFO] [LOSS] loss=1.8757, semantic_loss=0.7708, center_loss=0.2512, offset_loss=0.8537 2021-04-13 18:11:56 [INFO] [TRAIN] epoch=100, iter=4600/90000, loss=1.8103, lr=0.000048, batch_cost=1.1866, reader_cost=0.23895, ips=6.7422 samples/sec | ETA 28:08:51 2021-04-13 18:11:56 [INFO] [LOSS] loss=1.8103, semantic_loss=0.7529, center_loss=0.2455, offset_loss=0.8120 2021-04-13 18:14:05 [INFO] [TRAIN] epoch=103, iter=4700/90000, loss=1.7241, lr=0.000048, batch_cost=1.2911, reader_cost=0.32291, ips=6.1965 samples/sec | ETA 30:35:26 2021-04-13 18:14:05 [INFO] [LOSS] loss=1.7241, semantic_loss=0.7626, center_loss=0.2519, offset_loss=0.7096 2021-04-13 18:16:05 [INFO] [TRAIN] epoch=105, iter=4800/90000, loss=1.7758, lr=0.000048, batch_cost=1.1998, reader_cost=0.23633, ips=6.6678 samples/sec | ETA 28:23:42 2021-04-13 18:16:05 [INFO] [LOSS] loss=1.7758, semantic_loss=0.7886, center_loss=0.2520, offset_loss=0.7352 2021-04-13 18:18:05 [INFO] [TRAIN] epoch=107, iter=4900/90000, loss=1.7383, lr=0.000048, batch_cost=1.1981, reader_cost=0.23385, ips=6.6775 samples/sec | ETA 28:19:14 2021-04-13 18:18:05 [INFO] [LOSS] loss=1.7383, semantic_loss=0.7626, center_loss=0.2553, offset_loss=0.7205 2021-04-13 18:20:05 [INFO] [TRAIN] epoch=109, iter=5000/90000, loss=1.6464, lr=0.000047, batch_cost=1.1939, reader_cost=0.22964, ips=6.7006 samples/sec | ETA 28:11:23 2021-04-13 18:20:05 [INFO] [LOSS] loss=1.6464, semantic_loss=0.7260, center_loss=0.2438, offset_loss=0.6766 2021-04-13 18:22:13 [INFO] [TRAIN] epoch=111, iter=5100/90000, loss=1.5476, lr=0.000047, batch_cost=1.1905, reader_cost=0.24135, ips=6.7200 samples/sec | ETA 28:04:31 2021-04-13 18:22:13 [INFO] [LOSS] loss=1.5476, semantic_loss=0.7236, center_loss=0.2213, offset_loss=0.6027 2021-04-13 18:24:19 [INFO] [TRAIN] epoch=114, iter=5200/90000, loss=1.6301, lr=0.000047, batch_cost=1.2648, reader_cost=0.31574, ips=6.3251 samples/sec | ETA 29:47:34 2021-04-13 18:24:19 [INFO] [LOSS] loss=1.6301, semantic_loss=0.7551, center_loss=0.2301, offset_loss=0.6448 2021-04-13 18:26:20 [INFO] [TRAIN] epoch=116, iter=5300/90000, loss=1.5439, lr=0.000047, batch_cost=1.2003, reader_cost=0.23364, ips=6.6648 samples/sec | ETA 28:14:28 2021-04-13 18:26:20 [INFO] [LOSS] loss=1.5439, semantic_loss=0.7090, center_loss=0.2428, offset_loss=0.5922 2021-04-13 18:28:20 [INFO] [TRAIN] epoch=118, iter=5400/90000, loss=1.5813, lr=0.000047, batch_cost=1.2062, reader_cost=0.24240, ips=6.6326 samples/sec | ETA 28:20:41 2021-04-13 18:28:20 [INFO] [LOSS] loss=1.5813, semantic_loss=0.7299, center_loss=0.2384, offset_loss=0.6130 2021-04-13 18:30:21 [INFO] [TRAIN] epoch=120, iter=5500/90000, loss=1.5331, lr=0.000047, batch_cost=1.2096, reader_cost=0.25419, ips=6.6140 samples/sec | ETA 28:23:27 2021-04-13 18:30:21 [INFO] [LOSS] loss=1.5331, semantic_loss=0.7127, center_loss=0.2224, offset_loss=0.5980 2021-04-13 18:32:21 [INFO] [TRAIN] epoch=122, iter=5600/90000, loss=1.6450, lr=0.000047, batch_cost=1.1981, reader_cost=0.23892, ips=6.6775 samples/sec | ETA 28:05:15 2021-04-13 18:32:21 [INFO] [LOSS] loss=1.6450, semantic_loss=0.7206, center_loss=0.2357, offset_loss=0.6887 2021-04-13 18:34:21 [INFO] [TRAIN] epoch=124, iter=5700/90000, loss=1.4137, lr=0.000047, batch_cost=1.1999, reader_cost=0.24658, ips=6.6671 samples/sec | ETA 28:05:54 2021-04-13 18:34:21 [INFO] [LOSS] loss=1.4137, semantic_loss=0.6912, center_loss=0.2324, offset_loss=0.4901 2021-04-13 18:36:29 [INFO] [TRAIN] epoch=127, iter=5800/90000, loss=1.5873, lr=0.000047, batch_cost=1.2780, reader_cost=0.32302, ips=6.2599 samples/sec | ETA 29:53:26 2021-04-13 18:36:29 [INFO] [LOSS] loss=1.5873, semantic_loss=0.7088, center_loss=0.2372, offset_loss=0.6413 2021-04-13 18:38:30 [INFO] [TRAIN] epoch=129, iter=5900/90000, loss=1.3865, lr=0.000047, batch_cost=1.2052, reader_cost=0.24819, ips=6.6377 samples/sec | ETA 28:09:20 2021-04-13 18:38:30 [INFO] [LOSS] loss=1.3865, semantic_loss=0.6785, center_loss=0.2427, offset_loss=0.4653 2021-04-13 18:40:30 [INFO] [TRAIN] epoch=131, iter=6000/90000, loss=1.5575, lr=0.000047, batch_cost=1.2011, reader_cost=0.24658, ips=6.6606 samples/sec | ETA 28:01:31 2021-04-13 18:40:30 [INFO] [LOSS] loss=1.5575, semantic_loss=0.6900, center_loss=0.2184, offset_loss=0.6491 2021-04-13 18:42:30 [INFO] [TRAIN] epoch=133, iter=6100/90000, loss=1.5764, lr=0.000047, batch_cost=1.1980, reader_cost=0.22944, ips=6.6776 samples/sec | ETA 27:55:15 2021-04-13 18:42:30 [INFO] [LOSS] loss=1.5764, semantic_loss=0.6706, center_loss=0.2352, offset_loss=0.6706 2021-04-13 18:44:31 [INFO] [TRAIN] epoch=135, iter=6200/90000, loss=1.3995, lr=0.000047, batch_cost=1.2058, reader_cost=0.23135, ips=6.6346 samples/sec | ETA 28:04:06 2021-04-13 18:44:31 [INFO] [LOSS] loss=1.3995, semantic_loss=0.6736, center_loss=0.2210, offset_loss=0.5049 2021-04-13 18:46:30 [INFO] [TRAIN] epoch=137, iter=6300/90000, loss=1.4199, lr=0.000047, batch_cost=1.1872, reader_cost=0.21293, ips=6.7384 samples/sec | ETA 27:36:11 2021-04-13 18:46:30 [INFO] [LOSS] loss=1.4199, semantic_loss=0.6572, center_loss=0.2191, offset_loss=0.5436 2021-04-13 18:48:38 [INFO] [TRAIN] epoch=140, iter=6400/90000, loss=1.5499, lr=0.000047, batch_cost=1.2802, reader_cost=0.32149, ips=6.2491 samples/sec | ETA 29:43:42 2021-04-13 18:48:38 [INFO] [LOSS] loss=1.5499, semantic_loss=0.6880, center_loss=0.2367, offset_loss=0.6252 2021-04-13 18:50:39 [INFO] [TRAIN] epoch=142, iter=6500/90000, loss=1.3543, lr=0.000047, batch_cost=1.2045, reader_cost=0.24638, ips=6.6415 samples/sec | ETA 27:56:19 2021-04-13 18:50:39 [INFO] [LOSS] loss=1.3543, semantic_loss=0.6724, center_loss=0.2186, offset_loss=0.4634 2021-04-13 18:52:38 [INFO] [TRAIN] epoch=144, iter=6600/90000, loss=1.2652, lr=0.000047, batch_cost=1.1955, reader_cost=0.22427, ips=6.6918 samples/sec | ETA 27:41:44 2021-04-13 18:52:38 [INFO] [LOSS] loss=1.2652, semantic_loss=0.6478, center_loss=0.2103, offset_loss=0.4071 2021-04-13 18:54:38 [INFO] [TRAIN] epoch=146, iter=6700/90000, loss=1.3268, lr=0.000047, batch_cost=1.1951, reader_cost=0.22888, ips=6.6940 samples/sec | ETA 27:39:11 2021-04-13 18:54:38 [INFO] [LOSS] loss=1.3268, semantic_loss=0.6667, center_loss=0.2209, offset_loss=0.4392 2021-04-13 18:56:39 [INFO] [TRAIN] epoch=148, iter=6800/90000, loss=1.4371, lr=0.000047, batch_cost=1.2036, reader_cost=0.24561, ips=6.6466 samples/sec | ETA 27:49:00 2021-04-13 18:56:39 [INFO] [LOSS] loss=1.4371, semantic_loss=0.6625, center_loss=0.2095, offset_loss=0.5651 2021-04-13 18:58:36 [INFO] [TRAIN] epoch=150, iter=6900/90000, loss=1.2846, lr=0.000047, batch_cost=1.1770, reader_cost=0.21811, ips=6.7967 samples/sec | ETA 27:10:11 2021-04-13 18:58:36 [INFO] [LOSS] loss=1.2846, semantic_loss=0.6321, center_loss=0.2115, offset_loss=0.4411 2021-04-13 19:00:44 [INFO] [TRAIN] epoch=153, iter=7000/90000, loss=1.4441, lr=0.000046, batch_cost=1.2769, reader_cost=0.30364, ips=6.2654 samples/sec | ETA 29:26:18 2021-04-13 19:00:44 [INFO] [LOSS] loss=1.4441, semantic_loss=0.6699, center_loss=0.2104, offset_loss=0.5638 2021-04-13 19:02:45 [INFO] [TRAIN] epoch=155, iter=7100/90000, loss=1.3167, lr=0.000046, batch_cost=1.2036, reader_cost=0.24265, ips=6.6467 samples/sec | ETA 27:42:59 2021-04-13 19:02:45 [INFO] [LOSS] loss=1.3167, semantic_loss=0.6675, center_loss=0.2097, offset_loss=0.4395 2021-04-13 19:04:46 [INFO] [TRAIN] epoch=157, iter=7200/90000, loss=1.4937, lr=0.000046, batch_cost=1.2095, reader_cost=0.25795, ips=6.6146 samples/sec | ETA 27:49:02 2021-04-13 19:04:46 [INFO] [LOSS] loss=1.4937, semantic_loss=0.6609, center_loss=0.2140, offset_loss=0.6188 2021-04-13 19:06:45 [INFO] [TRAIN] epoch=159, iter=7300/90000, loss=1.4053, lr=0.000046, batch_cost=1.1938, reader_cost=0.24013, ips=6.7010 samples/sec | ETA 27:25:31 2021-04-13 19:06:45 [INFO] [LOSS] loss=1.4053, semantic_loss=0.6628, center_loss=0.2217, offset_loss=0.5208 2021-04-13 19:08:46 [INFO] [TRAIN] epoch=161, iter=7400/90000, loss=1.2549, lr=0.000046, batch_cost=1.2078, reader_cost=0.25350, ips=6.6236 samples/sec | ETA 27:42:44 2021-04-13 19:08:46 [INFO] [LOSS] loss=1.2549, semantic_loss=0.6415, center_loss=0.2006, offset_loss=0.4128 2021-04-13 19:10:54 [INFO] [TRAIN] epoch=164, iter=7500/90000, loss=1.3237, lr=0.000046, batch_cost=1.2701, reader_cost=0.31063, ips=6.2989 samples/sec | ETA 29:06:19 2021-04-13 19:10:54 [INFO] [LOSS] loss=1.3237, semantic_loss=0.6145, center_loss=0.2065, offset_loss=0.5028 2021-04-13 19:12:54 [INFO] [TRAIN] epoch=166, iter=7600/90000, loss=1.4000, lr=0.000046, batch_cost=1.2084, reader_cost=0.24890, ips=6.6202 samples/sec | ETA 27:39:34 2021-04-13 19:12:54 [INFO] [LOSS] loss=1.4000, semantic_loss=0.6292, center_loss=0.2236, offset_loss=0.5473 2021-04-13 19:14:55 [INFO] [TRAIN] epoch=168, iter=7700/90000, loss=1.1760, lr=0.000046, batch_cost=1.2007, reader_cost=0.23266, ips=6.6627 samples/sec | ETA 27:26:58 2021-04-13 19:14:55 [INFO] [LOSS] loss=1.1760, semantic_loss=0.6586, center_loss=0.2063, offset_loss=0.3111 2021-04-13 19:16:55 [INFO] [TRAIN] epoch=170, iter=7800/90000, loss=1.3555, lr=0.000046, batch_cost=1.1983, reader_cost=0.22552, ips=6.6761 samples/sec | ETA 27:21:41 2021-04-13 19:16:55 [INFO] [LOSS] loss=1.3555, semantic_loss=0.6358, center_loss=0.2030, offset_loss=0.5167 2021-04-13 19:18:56 [INFO] [TRAIN] epoch=172, iter=7900/90000, loss=1.3080, lr=0.000046, batch_cost=1.2081, reader_cost=0.23754, ips=6.6217 samples/sec | ETA 27:33:08 2021-04-13 19:18:56 [INFO] [LOSS] loss=1.3080, semantic_loss=0.6096, center_loss=0.2055, offset_loss=0.4929 2021-04-13 19:20:56 [INFO] [TRAIN] epoch=174, iter=8000/90000, loss=1.2730, lr=0.000046, batch_cost=1.1977, reader_cost=0.24097, ips=6.6793 samples/sec | ETA 27:16:53 2021-04-13 19:20:56 [INFO] [LOSS] loss=1.2730, semantic_loss=0.5867, center_loss=0.1963, offset_loss=0.4900 2021-04-13 19:23:02 [INFO] [TRAIN] epoch=177, iter=8100/90000, loss=1.2027, lr=0.000046, batch_cost=1.2648, reader_cost=0.30690, ips=6.3253 samples/sec | ETA 28:46:24 2021-04-13 19:23:02 [INFO] [LOSS] loss=1.2027, semantic_loss=0.5980, center_loss=0.2039, offset_loss=0.4008 2021-04-13 19:25:03 [INFO] [TRAIN] epoch=179, iter=8200/90000, loss=1.2582, lr=0.000046, batch_cost=1.2108, reader_cost=0.25610, ips=6.6070 samples/sec | ETA 27:30:45 2021-04-13 19:25:03 [INFO] [LOSS] loss=1.2582, semantic_loss=0.6431, center_loss=0.2012, offset_loss=0.4139 2021-04-13 19:27:03 [INFO] [TRAIN] epoch=181, iter=8300/90000, loss=1.1879, lr=0.000046, batch_cost=1.1904, reader_cost=0.21667, ips=6.7203 samples/sec | ETA 27:00:57 2021-04-13 19:27:03 [INFO] [LOSS] loss=1.1879, semantic_loss=0.6109, center_loss=0.1996, offset_loss=0.3774 2021-04-13 19:29:03 [INFO] [TRAIN] epoch=183, iter=8400/90000, loss=1.3545, lr=0.000046, batch_cost=1.1984, reader_cost=0.23720, ips=6.6756 samples/sec | ETA 27:09:48 2021-04-13 19:29:03 [INFO] [LOSS] loss=1.3545, semantic_loss=0.6271, center_loss=0.2044, offset_loss=0.5230 2021-04-13 19:31:04 [INFO] [TRAIN] epoch=185, iter=8500/90000, loss=1.1978, lr=0.000046, batch_cost=1.2087, reader_cost=0.25566, ips=6.6187 samples/sec | ETA 27:21:48 2021-04-13 19:31:04 [INFO] [LOSS] loss=1.1978, semantic_loss=0.6272, center_loss=0.1975, offset_loss=0.3731 2021-04-13 19:33:03 [INFO] [TRAIN] epoch=187, iter=8600/90000, loss=1.1722, lr=0.000046, batch_cost=1.1888, reader_cost=0.21949, ips=6.7294 samples/sec | ETA 26:52:48 2021-04-13 19:33:03 [INFO] [LOSS] loss=1.1722, semantic_loss=0.5717, center_loss=0.1900, offset_loss=0.4105 2021-04-13 19:35:11 [INFO] [TRAIN] epoch=190, iter=8700/90000, loss=1.3220, lr=0.000046, batch_cost=1.2840, reader_cost=0.33118, ips=6.2304 samples/sec | ETA 28:59:52 2021-04-13 19:35:11 [INFO] [LOSS] loss=1.3220, semantic_loss=0.6360, center_loss=0.2067, offset_loss=0.4793 2021-04-13 19:37:13 [INFO] [TRAIN] epoch=192, iter=8800/90000, loss=1.1868, lr=0.000046, batch_cost=1.2166, reader_cost=0.25181, ips=6.5757 samples/sec | ETA 27:26:28 2021-04-13 19:37:13 [INFO] [LOSS] loss=1.1868, semantic_loss=0.6196, center_loss=0.2065, offset_loss=0.3608 2021-04-13 19:39:14 [INFO] [TRAIN] epoch=194, iter=8900/90000, loss=1.1319, lr=0.000046, batch_cost=1.2057, reader_cost=0.24864, ips=6.6352 samples/sec | ETA 27:09:41 2021-04-13 19:39:14 [INFO] [LOSS] loss=1.1319, semantic_loss=0.5823, center_loss=0.2000, offset_loss=0.3495 2021-04-13 19:41:14 [INFO] [TRAIN] epoch=196, iter=9000/90000, loss=1.1630, lr=0.000045, batch_cost=1.2029, reader_cost=0.23499, ips=6.6508 samples/sec | ETA 27:03:51 2021-04-13 19:41:14 [INFO] [LOSS] loss=1.1630, semantic_loss=0.6012, center_loss=0.1998, offset_loss=0.3621 2021-04-13 19:43:13 [INFO] [TRAIN] epoch=198, iter=9100/90000, loss=1.3617, lr=0.000045, batch_cost=1.1842, reader_cost=0.22235, ips=6.7555 samples/sec | ETA 26:36:43 2021-04-13 19:43:13 [INFO] [LOSS] loss=1.3617, semantic_loss=0.6403, center_loss=0.1970, offset_loss=0.5244 2021-04-13 19:45:11 [INFO] [TRAIN] epoch=200, iter=9200/90000, loss=1.2222, lr=0.000045, batch_cost=1.1819, reader_cost=0.23805, ips=6.7687 samples/sec | ETA 26:31:38 2021-04-13 19:45:11 [INFO] [LOSS] loss=1.2222, semantic_loss=0.5817, center_loss=0.1905, offset_loss=0.4500 2021-04-13 19:47:20 [INFO] [TRAIN] epoch=203, iter=9300/90000, loss=1.2148, lr=0.000045, batch_cost=1.2849, reader_cost=0.32157, ips=6.2261 samples/sec | ETA 28:48:12 2021-04-13 19:47:20 [INFO] [LOSS] loss=1.2148, semantic_loss=0.6385, center_loss=0.1902, offset_loss=0.3860 2021-04-13 19:49:20 [INFO] [TRAIN] epoch=205, iter=9400/90000, loss=1.2393, lr=0.000045, batch_cost=1.2017, reader_cost=0.24957, ips=6.6575 samples/sec | ETA 26:54:13 2021-04-13 19:49:20 [INFO] [LOSS] loss=1.2393, semantic_loss=0.6206, center_loss=0.1970, offset_loss=0.4217 2021-04-13 19:51:20 [INFO] [TRAIN] epoch=207, iter=9500/90000, loss=1.1459, lr=0.000045, batch_cost=1.2017, reader_cost=0.25173, ips=6.6571 samples/sec | ETA 26:52:19 2021-04-13 19:51:20 [INFO] [LOSS] loss=1.1459, semantic_loss=0.5829, center_loss=0.1936, offset_loss=0.3694 2021-04-13 19:53:20 [INFO] [TRAIN] epoch=209, iter=9600/90000, loss=1.1667, lr=0.000045, batch_cost=1.2006, reader_cost=0.23970, ips=6.6632 samples/sec | ETA 26:48:50 2021-04-13 19:53:20 [INFO] [LOSS] loss=1.1667, semantic_loss=0.5907, center_loss=0.1856, offset_loss=0.3904 2021-04-13 19:55:20 [INFO] [TRAIN] epoch=211, iter=9700/90000, loss=1.1395, lr=0.000045, batch_cost=1.1924, reader_cost=0.23110, ips=6.7092 samples/sec | ETA 26:35:48 2021-04-13 19:55:20 [INFO] [LOSS] loss=1.1395, semantic_loss=0.5794, center_loss=0.1820, offset_loss=0.3781 2021-04-13 19:57:28 [INFO] [TRAIN] epoch=214, iter=9800/90000, loss=1.1123, lr=0.000045, batch_cost=1.2781, reader_cost=0.30508, ips=6.2595 samples/sec | ETA 28:28:20 2021-04-13 19:57:28 [INFO] [LOSS] loss=1.1123, semantic_loss=0.5868, center_loss=0.1762, offset_loss=0.3493 2021-04-13 19:59:28 [INFO] [TRAIN] epoch=216, iter=9900/90000, loss=1.0811, lr=0.000045, batch_cost=1.2013, reader_cost=0.24380, ips=6.6595 samples/sec | ETA 26:43:43 2021-04-13 19:59:28 [INFO] [LOSS] loss=1.0811, semantic_loss=0.5690, center_loss=0.1883, offset_loss=0.3238 2021-04-13 20:01:27 [INFO] [TRAIN] epoch=218, iter=10000/90000, loss=1.1322, lr=0.000045, batch_cost=1.1891, reader_cost=0.21349, ips=6.7278 samples/sec | ETA 26:25:28 2021-04-13 20:01:27 [INFO] [LOSS] loss=1.1322, semantic_loss=0.6017, center_loss=0.1868, offset_loss=0.3437 2021-04-13 20:03:35 [INFO] [TRAIN] epoch=220, iter=10100/90000, loss=1.2414, lr=0.000045, batch_cost=1.1873, reader_cost=0.21782, ips=6.7382 samples/sec | ETA 26:21:01 2021-04-13 20:03:35 [INFO] [LOSS] loss=1.2414, semantic_loss=0.5869, center_loss=0.1911, offset_loss=0.4634 2021-04-13 20:05:34 [INFO] [TRAIN] epoch=222, iter=10200/90000, loss=1.1666, lr=0.000045, batch_cost=1.1917, reader_cost=0.21896, ips=6.7132 samples/sec | ETA 26:24:55 2021-04-13 20:05:34 [INFO] [LOSS] loss=1.1666, semantic_loss=0.6132, center_loss=0.1862, offset_loss=0.3672 2021-04-13 20:07:34 [INFO] [TRAIN] epoch=224, iter=10300/90000, loss=1.1451, lr=0.000045, batch_cost=1.2000, reader_cost=0.22439, ips=6.6665 samples/sec | ETA 26:34:02 2021-04-13 20:07:34 [INFO] [LOSS] loss=1.1451, semantic_loss=0.5817, center_loss=0.1766, offset_loss=0.3868 2021-04-13 20:09:42 [INFO] [TRAIN] epoch=227, iter=10400/90000, loss=1.1834, lr=0.000045, batch_cost=1.2781, reader_cost=0.32559, ips=6.2594 samples/sec | ETA 28:15:34 2021-04-13 20:09:42 [INFO] [LOSS] loss=1.1834, semantic_loss=0.6045, center_loss=0.1877, offset_loss=0.3912 2021-04-13 20:11:43 [INFO] [TRAIN] epoch=229, iter=10500/90000, loss=1.2129, lr=0.000045, batch_cost=1.2075, reader_cost=0.24884, ips=6.6250 samples/sec | ETA 26:39:59 2021-04-13 20:11:43 [INFO] [LOSS] loss=1.2129, semantic_loss=0.6035, center_loss=0.1912, offset_loss=0.4183 2021-04-13 20:13:43 [INFO] [TRAIN] epoch=231, iter=10600/90000, loss=1.1197, lr=0.000045, batch_cost=1.2014, reader_cost=0.23964, ips=6.6586 samples/sec | ETA 26:29:55 2021-04-13 20:13:43 [INFO] [LOSS] loss=1.1197, semantic_loss=0.6001, center_loss=0.1899, offset_loss=0.3297 2021-04-13 20:15:44 [INFO] [TRAIN] epoch=233, iter=10700/90000, loss=1.0713, lr=0.000045, batch_cost=1.1997, reader_cost=0.24167, ips=6.6681 samples/sec | ETA 26:25:38 2021-04-13 20:15:44 [INFO] [LOSS] loss=1.0713, semantic_loss=0.5419, center_loss=0.1741, offset_loss=0.3554 2021-04-13 20:17:43 [INFO] [TRAIN] epoch=235, iter=10800/90000, loss=1.0794, lr=0.000045, batch_cost=1.1968, reader_cost=0.22412, ips=6.6846 samples/sec | ETA 26:19:44 2021-04-13 20:17:43 [INFO] [LOSS] loss=1.0794, semantic_loss=0.5608, center_loss=0.1811, offset_loss=0.3374 2021-04-13 20:19:43 [INFO] [TRAIN] epoch=237, iter=10900/90000, loss=1.0791, lr=0.000045, batch_cost=1.1934, reader_cost=0.24665, ips=6.7034 samples/sec | ETA 26:13:20 2021-04-13 20:19:43 [INFO] [LOSS] loss=1.0791, semantic_loss=0.5337, center_loss=0.1694, offset_loss=0.3761 2021-04-13 20:21:52 [INFO] [TRAIN] epoch=240, iter=11000/90000, loss=1.0070, lr=0.000044, batch_cost=1.2887, reader_cost=0.32959, ips=6.2076 samples/sec | ETA 28:16:50 2021-04-13 20:21:52 [INFO] [LOSS] loss=1.0070, semantic_loss=0.5701, center_loss=0.1804, offset_loss=0.2566 2021-04-13 20:23:52 [INFO] [TRAIN] epoch=242, iter=11100/90000, loss=1.0636, lr=0.000044, batch_cost=1.2029, reader_cost=0.25147, ips=6.6508 samples/sec | ETA 26:21:46 2021-04-13 20:23:52 [INFO] [LOSS] loss=1.0636, semantic_loss=0.5582, center_loss=0.1759, offset_loss=0.3295 2021-04-13 20:25:51 [INFO] [TRAIN] epoch=244, iter=11200/90000, loss=1.1835, lr=0.000044, batch_cost=1.1893, reader_cost=0.22438, ips=6.7266 samples/sec | ETA 26:01:57 2021-04-13 20:25:51 [INFO] [LOSS] loss=1.1835, semantic_loss=0.5638, center_loss=0.1748, offset_loss=0.4449 2021-04-13 20:27:52 [INFO] [TRAIN] epoch=246, iter=11300/90000, loss=1.1383, lr=0.000044, batch_cost=1.2040, reader_cost=0.24288, ips=6.6446 samples/sec | ETA 26:19:13 2021-04-13 20:27:52 [INFO] [LOSS] loss=1.1383, semantic_loss=0.5942, center_loss=0.1757, offset_loss=0.3684 2021-04-13 20:29:53 [INFO] [TRAIN] epoch=248, iter=11400/90000, loss=1.0362, lr=0.000044, batch_cost=1.2140, reader_cost=0.26334, ips=6.5896 samples/sec | ETA 26:30:23 2021-04-13 20:29:53 [INFO] [LOSS] loss=1.0362, semantic_loss=0.5373, center_loss=0.1749, offset_loss=0.3240 2021-04-13 20:31:54 [INFO] [TRAIN] epoch=250, iter=11500/90000, loss=0.9719, lr=0.000044, batch_cost=1.2077, reader_cost=0.25954, ips=6.6242 samples/sec | ETA 26:20:03 2021-04-13 20:31:54 [INFO] [LOSS] loss=0.9719, semantic_loss=0.5292, center_loss=0.1665, offset_loss=0.2761 2021-04-13 20:34:03 [INFO] [TRAIN] epoch=253, iter=11600/90000, loss=1.0058, lr=0.000044, batch_cost=1.2880, reader_cost=0.32926, ips=6.2113 samples/sec | ETA 28:02:57 2021-04-13 20:34:03 [INFO] [LOSS] loss=1.0058, semantic_loss=0.5332, center_loss=0.1730, offset_loss=0.2995 2021-04-13 20:36:04 [INFO] [TRAIN] epoch=255, iter=11700/90000, loss=1.0696, lr=0.000044, batch_cost=1.2063, reader_cost=0.23166, ips=6.6316 samples/sec | ETA 26:14:16 2021-04-13 20:36:04 [INFO] [LOSS] loss=1.0696, semantic_loss=0.5713, center_loss=0.1808, offset_loss=0.3176 2021-04-13 20:38:04 [INFO] [TRAIN] epoch=257, iter=11800/90000, loss=1.0603, lr=0.000044, batch_cost=1.1931, reader_cost=0.23458, ips=6.7052 samples/sec | ETA 25:55:00 2021-04-13 20:38:04 [INFO] [LOSS] loss=1.0603, semantic_loss=0.5338, center_loss=0.1864, offset_loss=0.3401 2021-04-13 20:40:04 [INFO] [TRAIN] epoch=259, iter=11900/90000, loss=1.0661, lr=0.000044, batch_cost=1.2022, reader_cost=0.23856, ips=6.6545 samples/sec | ETA 26:04:50 2021-04-13 20:40:04 [INFO] [LOSS] loss=1.0661, semantic_loss=0.5790, center_loss=0.1807, offset_loss=0.3064 2021-04-13 20:42:03 [INFO] [TRAIN] epoch=261, iter=12000/90000, loss=1.1387, lr=0.000044, batch_cost=1.1914, reader_cost=0.22105, ips=6.7150 samples/sec | ETA 25:48:45 2021-04-13 20:42:03 [INFO] [LOSS] loss=1.1387, semantic_loss=0.5627, center_loss=0.1629, offset_loss=0.4131 2021-04-13 20:44:11 [INFO] [TRAIN] epoch=264, iter=12100/90000, loss=1.1017, lr=0.000044, batch_cost=1.2758, reader_cost=0.31957, ips=6.2704 samples/sec | ETA 27:36:27 2021-04-13 20:44:11 [INFO] [LOSS] loss=1.1017, semantic_loss=0.5611, center_loss=0.1801, offset_loss=0.3605 2021-04-13 20:46:12 [INFO] [TRAIN] epoch=266, iter=12200/90000, loss=0.9741, lr=0.000044, batch_cost=1.2079, reader_cost=0.25725, ips=6.6229 samples/sec | ETA 26:06:16 2021-04-13 20:46:12 [INFO] [LOSS] loss=0.9741, semantic_loss=0.5326, center_loss=0.1623, offset_loss=0.2792 2021-04-13 20:48:12 [INFO] [TRAIN] epoch=268, iter=12300/90000, loss=1.2013, lr=0.000044, batch_cost=1.1973, reader_cost=0.22834, ips=6.6818 samples/sec | ETA 25:50:28 2021-04-13 20:48:12 [INFO] [LOSS] loss=1.2013, semantic_loss=0.5744, center_loss=0.1842, offset_loss=0.4427 2021-04-13 20:50:12 [INFO] [TRAIN] epoch=270, iter=12400/90000, loss=1.1985, lr=0.000044, batch_cost=1.2023, reader_cost=0.23484, ips=6.6541 samples/sec | ETA 25:54:56 2021-04-13 20:50:12 [INFO] [LOSS] loss=1.1985, semantic_loss=0.5628, center_loss=0.1736, offset_loss=0.4621 2021-04-13 20:52:13 [INFO] [TRAIN] epoch=272, iter=12500/90000, loss=1.0523, lr=0.000044, batch_cost=1.2021, reader_cost=0.24122, ips=6.6547 samples/sec | ETA 25:52:46 2021-04-13 20:52:13 [INFO] [LOSS] loss=1.0523, semantic_loss=0.5443, center_loss=0.1803, offset_loss=0.3277 2021-04-13 20:54:12 [INFO] [TRAIN] epoch=274, iter=12600/90000, loss=1.0190, lr=0.000044, batch_cost=1.1876, reader_cost=0.22460, ips=6.7362 samples/sec | ETA 25:32:01 2021-04-13 20:54:12 [INFO] [LOSS] loss=1.0190, semantic_loss=0.5510, center_loss=0.1739, offset_loss=0.2941 2021-04-13 20:56:18 [INFO] [TRAIN] epoch=277, iter=12700/90000, loss=1.0626, lr=0.000044, batch_cost=1.2670, reader_cost=0.31417, ips=6.3143 samples/sec | ETA 27:12:15 2021-04-13 20:56:18 [INFO] [LOSS] loss=1.0626, semantic_loss=0.5571, center_loss=0.1667, offset_loss=0.3388 2021-04-13 20:58:20 [INFO] [TRAIN] epoch=279, iter=12800/90000, loss=1.0128, lr=0.000044, batch_cost=1.2110, reader_cost=0.24810, ips=6.6060 samples/sec | ETA 25:58:10 2021-04-13 20:58:20 [INFO] [LOSS] loss=1.0128, semantic_loss=0.5322, center_loss=0.1769, offset_loss=0.3036 2021-04-13 21:00:21 [INFO] [TRAIN] epoch=281, iter=12900/90000, loss=0.9719, lr=0.000044, batch_cost=1.2110, reader_cost=0.26306, ips=6.6060 samples/sec | ETA 25:56:09 2021-04-13 21:00:21 [INFO] [LOSS] loss=0.9719, semantic_loss=0.5299, center_loss=0.1676, offset_loss=0.2743 2021-04-13 21:02:20 [INFO] [TRAIN] epoch=283, iter=13000/90000, loss=1.0664, lr=0.000043, batch_cost=1.1902, reader_cost=0.23301, ips=6.7214 samples/sec | ETA 25:27:27 2021-04-13 21:02:20 [INFO] [LOSS] loss=1.0664, semantic_loss=0.5160, center_loss=0.1750, offset_loss=0.3753 2021-04-13 21:04:20 [INFO] [TRAIN] epoch=285, iter=13100/90000, loss=0.9531, lr=0.000043, batch_cost=1.2012, reader_cost=0.23366, ips=6.6603 samples/sec | ETA 25:39:28 2021-04-13 21:04:20 [INFO] [LOSS] loss=0.9531, semantic_loss=0.5395, center_loss=0.1658, offset_loss=0.2479 2021-04-13 21:06:20 [INFO] [TRAIN] epoch=287, iter=13200/90000, loss=0.9818, lr=0.000043, batch_cost=1.1896, reader_cost=0.24015, ips=6.7250 samples/sec | ETA 25:22:39 2021-04-13 21:06:20 [INFO] [LOSS] loss=0.9818, semantic_loss=0.5308, center_loss=0.1770, offset_loss=0.2739 2021-04-13 21:08:30 [INFO] [TRAIN] epoch=290, iter=13300/90000, loss=0.9788, lr=0.000043, batch_cost=1.3012, reader_cost=0.35196, ips=6.1483 samples/sec | ETA 27:43:20 2021-04-13 21:08:30 [INFO] [LOSS] loss=0.9788, semantic_loss=0.5303, center_loss=0.1651, offset_loss=0.2834 2021-04-13 21:10:30 [INFO] [TRAIN] epoch=292, iter=13400/90000, loss=1.0106, lr=0.000043, batch_cost=1.2035, reader_cost=0.25018, ips=6.6473 samples/sec | ETA 25:36:28 2021-04-13 21:10:30 [INFO] [LOSS] loss=1.0106, semantic_loss=0.5188, center_loss=0.1738, offset_loss=0.3180 2021-04-13 21:12:32 [INFO] [TRAIN] epoch=294, iter=13500/90000, loss=1.0174, lr=0.000043, batch_cost=1.2129, reader_cost=0.26000, ips=6.5955 samples/sec | ETA 25:46:30 2021-04-13 21:12:32 [INFO] [LOSS] loss=1.0174, semantic_loss=0.5245, center_loss=0.1593, offset_loss=0.3335 2021-04-13 21:14:32 [INFO] [TRAIN] epoch=296, iter=13600/90000, loss=0.9521, lr=0.000043, batch_cost=1.2012, reader_cost=0.23400, ips=6.6598 samples/sec | ETA 25:29:34 2021-04-13 21:14:32 [INFO] [LOSS] loss=0.9521, semantic_loss=0.5101, center_loss=0.1663, offset_loss=0.2758 2021-04-13 21:16:32 [INFO] [TRAIN] epoch=298, iter=13700/90000, loss=0.9738, lr=0.000043, batch_cost=1.1967, reader_cost=0.22656, ips=6.6852 samples/sec | ETA 25:21:46 2021-04-13 21:16:32 [INFO] [LOSS] loss=0.9738, semantic_loss=0.5188, center_loss=0.1589, offset_loss=0.2960 2021-04-13 21:18:31 [INFO] [TRAIN] epoch=300, iter=13800/90000, loss=0.9309, lr=0.000043, batch_cost=1.1928, reader_cost=0.24540, ips=6.7070 samples/sec | ETA 25:14:49 2021-04-13 21:18:31 [INFO] [LOSS] loss=0.9309, semantic_loss=0.5182, center_loss=0.1634, offset_loss=0.2493 2021-04-13 21:20:39 [INFO] [TRAIN] epoch=303, iter=13900/90000, loss=1.1072, lr=0.000043, batch_cost=1.2805, reader_cost=0.31657, ips=6.2475 samples/sec | ETA 27:04:07 2021-04-13 21:20:39 [INFO] [LOSS] loss=1.1072, semantic_loss=0.5665, center_loss=0.1643, offset_loss=0.3764 2021-04-13 21:22:39 [INFO] [TRAIN] epoch=305, iter=14000/90000, loss=1.0247, lr=0.000043, batch_cost=1.1958, reader_cost=0.23298, ips=6.6901 samples/sec | ETA 25:14:40 2021-04-13 21:22:39 [INFO] [LOSS] loss=1.0247, semantic_loss=0.5083, center_loss=0.1693, offset_loss=0.3472 2021-04-13 21:24:39 [INFO] [TRAIN] epoch=307, iter=14100/90000, loss=0.9716, lr=0.000043, batch_cost=1.1943, reader_cost=0.22731, ips=6.6987 samples/sec | ETA 25:10:44 2021-04-13 21:24:39 [INFO] [LOSS] loss=0.9716, semantic_loss=0.5041, center_loss=0.1673, offset_loss=0.3002 2021-04-13 21:26:39 [INFO] [TRAIN] epoch=309, iter=14200/90000, loss=0.9422, lr=0.000043, batch_cost=1.1962, reader_cost=0.23106, ips=6.6876 samples/sec | ETA 25:11:15 2021-04-13 21:26:39 [INFO] [LOSS] loss=0.9422, semantic_loss=0.5245, center_loss=0.1650, offset_loss=0.2528 2021-04-13 21:28:40 [INFO] [TRAIN] epoch=311, iter=14300/90000, loss=0.9576, lr=0.000043, batch_cost=1.2097, reader_cost=0.24513, ips=6.6130 samples/sec | ETA 25:26:16 2021-04-13 21:28:40 [INFO] [LOSS] loss=0.9576, semantic_loss=0.5081, center_loss=0.1592, offset_loss=0.2903 2021-04-13 21:30:47 [INFO] [TRAIN] epoch=314, iter=14400/90000, loss=0.9404, lr=0.000043, batch_cost=1.2723, reader_cost=0.30610, ips=6.2876 samples/sec | ETA 26:43:08 2021-04-13 21:30:47 [INFO] [LOSS] loss=0.9404, semantic_loss=0.5073, center_loss=0.1668, offset_loss=0.2663 2021-04-13 21:32:47 [INFO] [TRAIN] epoch=316, iter=14500/90000, loss=0.9707, lr=0.000043, batch_cost=1.2010, reader_cost=0.23899, ips=6.6613 samples/sec | ETA 25:11:12 2021-04-13 21:32:47 [INFO] [LOSS] loss=0.9707, semantic_loss=0.5323, center_loss=0.1632, offset_loss=0.2752 2021-04-13 21:34:47 [INFO] [TRAIN] epoch=318, iter=14600/90000, loss=0.9686, lr=0.000043, batch_cost=1.1925, reader_cost=0.23728, ips=6.7084 samples/sec | ETA 24:58:36 2021-04-13 21:34:47 [INFO] [LOSS] loss=0.9686, semantic_loss=0.5389, center_loss=0.1567, offset_loss=0.2729 2021-04-13 21:36:47 [INFO] [TRAIN] epoch=320, iter=14700/90000, loss=0.9126, lr=0.000043, batch_cost=1.1979, reader_cost=0.23376, ips=6.6785 samples/sec | ETA 25:03:19 2021-04-13 21:36:47 [INFO] [LOSS] loss=0.9126, semantic_loss=0.4984, center_loss=0.1649, offset_loss=0.2493 2021-04-13 21:38:46 [INFO] [TRAIN] epoch=322, iter=14800/90000, loss=0.9431, lr=0.000043, batch_cost=1.1894, reader_cost=0.21015, ips=6.7260 samples/sec | ETA 24:50:44 2021-04-13 21:38:46 [INFO] [LOSS] loss=0.9431, semantic_loss=0.5306, center_loss=0.1615, offset_loss=0.2511 2021-04-13 21:40:45 [INFO] [TRAIN] epoch=324, iter=14900/90000, loss=0.9074, lr=0.000042, batch_cost=1.1875, reader_cost=0.22791, ips=6.7368 samples/sec | ETA 24:46:22 2021-04-13 21:40:45 [INFO] [LOSS] loss=0.9074, semantic_loss=0.4831, center_loss=0.1515, offset_loss=0.2728 2021-04-13 21:42:53 [INFO] [TRAIN] epoch=327, iter=15000/90000, loss=0.9323, lr=0.000042, batch_cost=1.2809, reader_cost=0.32480, ips=6.2457 samples/sec | ETA 26:41:06 2021-04-13 21:42:53 [INFO] [LOSS] loss=0.9323, semantic_loss=0.4956, center_loss=0.1609, offset_loss=0.2759 2021-04-13 21:45:00 [INFO] [TRAIN] epoch=329, iter=15100/90000, loss=0.9283, lr=0.000042, batch_cost=1.1716, reader_cost=0.21559, ips=6.8284 samples/sec | ETA 24:22:30 2021-04-13 21:45:00 [INFO] [LOSS] loss=0.9283, semantic_loss=0.5019, center_loss=0.1578, offset_loss=0.2685 2021-04-13 21:46:59 [INFO] [TRAIN] epoch=331, iter=15200/90000, loss=0.9985, lr=0.000042, batch_cost=1.1976, reader_cost=0.21683, ips=6.6802 samples/sec | ETA 24:52:58 2021-04-13 21:46:59 [INFO] [LOSS] loss=0.9985, semantic_loss=0.5506, center_loss=0.1674, offset_loss=0.2805 2021-04-13 21:49:00 [INFO] [TRAIN] epoch=333, iter=15300/90000, loss=0.9975, lr=0.000042, batch_cost=1.2055, reader_cost=0.24404, ips=6.6364 samples/sec | ETA 25:00:48 2021-04-13 21:49:00 [INFO] [LOSS] loss=0.9975, semantic_loss=0.5452, center_loss=0.1715, offset_loss=0.2808 2021-04-13 21:51:00 [INFO] [TRAIN] epoch=335, iter=15400/90000, loss=0.8669, lr=0.000042, batch_cost=1.1971, reader_cost=0.23478, ips=6.6827 samples/sec | ETA 24:48:25 2021-04-13 21:51:00 [INFO] [LOSS] loss=0.8669, semantic_loss=0.4651, center_loss=0.1536, offset_loss=0.2483 2021-04-13 21:52:59 [INFO] [TRAIN] epoch=337, iter=15500/90000, loss=0.9546, lr=0.000042, batch_cost=1.1911, reader_cost=0.23779, ips=6.7163 samples/sec | ETA 24:38:59 2021-04-13 21:52:59 [INFO] [LOSS] loss=0.9546, semantic_loss=0.4956, center_loss=0.1623, offset_loss=0.2967 2021-04-13 21:55:09 [INFO] [TRAIN] epoch=340, iter=15600/90000, loss=0.9546, lr=0.000042, batch_cost=1.2917, reader_cost=0.33495, ips=6.1936 samples/sec | ETA 26:41:39 2021-04-13 21:55:09 [INFO] [LOSS] loss=0.9546, semantic_loss=0.5119, center_loss=0.1654, offset_loss=0.2773 2021-04-13 21:57:08 [INFO] [TRAIN] epoch=342, iter=15700/90000, loss=0.8777, lr=0.000042, batch_cost=1.1977, reader_cost=0.23622, ips=6.6793 samples/sec | ETA 24:43:10 2021-04-13 21:57:08 [INFO] [LOSS] loss=0.8777, semantic_loss=0.5045, center_loss=0.1572, offset_loss=0.2161 2021-04-13 21:59:09 [INFO] [TRAIN] epoch=344, iter=15800/90000, loss=0.9241, lr=0.000042, batch_cost=1.2000, reader_cost=0.23276, ips=6.6665 samples/sec | ETA 24:44:02 2021-04-13 21:59:09 [INFO] [LOSS] loss=0.9241, semantic_loss=0.5126, center_loss=0.1556, offset_loss=0.2560 2021-04-13 22:01:09 [INFO] [TRAIN] epoch=346, iter=15900/90000, loss=0.8730, lr=0.000042, batch_cost=1.2061, reader_cost=0.23244, ips=6.6328 samples/sec | ETA 24:49:33 2021-04-13 22:01:09 [INFO] [LOSS] loss=0.8730, semantic_loss=0.4743, center_loss=0.1584, offset_loss=0.2404 2021-04-13 22:03:09 [INFO] [TRAIN] epoch=348, iter=16000/90000, loss=0.8412, lr=0.000042, batch_cost=1.1931, reader_cost=0.23522, ips=6.7050 samples/sec | ETA 24:31:32 2021-04-13 22:03:09 [INFO] [LOSS] loss=0.8412, semantic_loss=0.4755, center_loss=0.1552, offset_loss=0.2105 2021-04-13 22:05:09 [INFO] [TRAIN] epoch=350, iter=16100/90000, loss=0.9019, lr=0.000042, batch_cost=1.1992, reader_cost=0.25740, ips=6.6710 samples/sec | ETA 24:37:02 2021-04-13 22:05:09 [INFO] [LOSS] loss=0.9019, semantic_loss=0.4927, center_loss=0.1504, offset_loss=0.2588 2021-04-13 22:07:17 [INFO] [TRAIN] epoch=353, iter=16200/90000, loss=0.9095, lr=0.000042, batch_cost=1.2808, reader_cost=0.32300, ips=6.2463 samples/sec | ETA 26:15:19 2021-04-13 22:07:17 [INFO] [LOSS] loss=0.9095, semantic_loss=0.4987, center_loss=0.1487, offset_loss=0.2621 2021-04-13 22:09:18 [INFO] [TRAIN] epoch=355, iter=16300/90000, loss=0.9660, lr=0.000042, batch_cost=1.2055, reader_cost=0.23656, ips=6.6362 samples/sec | ETA 24:40:46 2021-04-13 22:09:18 [INFO] [LOSS] loss=0.9660, semantic_loss=0.4953, center_loss=0.1715, offset_loss=0.2993 2021-04-13 22:11:17 [INFO] [TRAIN] epoch=357, iter=16400/90000, loss=0.9168, lr=0.000042, batch_cost=1.1888, reader_cost=0.21817, ips=6.7297 samples/sec | ETA 24:18:12 2021-04-13 22:11:17 [INFO] [LOSS] loss=0.9168, semantic_loss=0.5038, center_loss=0.1509, offset_loss=0.2622 2021-04-13 22:13:18 [INFO] [TRAIN] epoch=359, iter=16500/90000, loss=1.0151, lr=0.000042, batch_cost=1.2151, reader_cost=0.26053, ips=6.5840 samples/sec | ETA 24:48:27 2021-04-13 22:13:18 [INFO] [LOSS] loss=1.0151, semantic_loss=0.5402, center_loss=0.1651, offset_loss=0.3098 2021-04-13 22:15:19 [INFO] [TRAIN] epoch=361, iter=16600/90000, loss=0.9864, lr=0.000042, batch_cost=1.2058, reader_cost=0.25419, ips=6.6345 samples/sec | ETA 24:35:07 2021-04-13 22:15:19 [INFO] [LOSS] loss=0.9864, semantic_loss=0.5182, center_loss=0.1511, offset_loss=0.3171 2021-04-13 22:17:27 [INFO] [TRAIN] epoch=364, iter=16700/90000, loss=0.9174, lr=0.000042, batch_cost=1.2722, reader_cost=0.30208, ips=6.2883 samples/sec | ETA 25:54:11 2021-04-13 22:17:27 [INFO] [LOSS] loss=0.9174, semantic_loss=0.5077, center_loss=0.1498, offset_loss=0.2599 2021-04-13 22:19:27 [INFO] [TRAIN] epoch=366, iter=16800/90000, loss=0.8831, lr=0.000042, batch_cost=1.2009, reader_cost=0.23166, ips=6.6619 samples/sec | ETA 24:25:02 2021-04-13 22:19:27 [INFO] [LOSS] loss=0.8831, semantic_loss=0.4797, center_loss=0.1606, offset_loss=0.2429 2021-04-13 22:21:27 [INFO] [TRAIN] epoch=368, iter=16900/90000, loss=0.8553, lr=0.000041, batch_cost=1.2047, reader_cost=0.23570, ips=6.6404 samples/sec | ETA 24:27:46 2021-04-13 22:21:27 [INFO] [LOSS] loss=0.8553, semantic_loss=0.4689, center_loss=0.1505, offset_loss=0.2358 2021-04-13 22:23:28 [INFO] [TRAIN] epoch=370, iter=17000/90000, loss=0.8366, lr=0.000041, batch_cost=1.2066, reader_cost=0.25377, ips=6.6304 samples/sec | ETA 24:27:58 2021-04-13 22:23:28 [INFO] [LOSS] loss=0.8366, semantic_loss=0.4802, center_loss=0.1525, offset_loss=0.2039 2021-04-13 22:25:28 [INFO] [TRAIN] epoch=372, iter=17100/90000, loss=0.8923, lr=0.000041, batch_cost=1.2000, reader_cost=0.23719, ips=6.6668 samples/sec | ETA 24:17:58 2021-04-13 22:25:28 [INFO] [LOSS] loss=0.8923, semantic_loss=0.4846, center_loss=0.1521, offset_loss=0.2556 2021-04-13 22:27:28 [INFO] [TRAIN] epoch=374, iter=17200/90000, loss=0.9167, lr=0.000041, batch_cost=1.1899, reader_cost=0.23407, ips=6.7231 samples/sec | ETA 24:03:46 2021-04-13 22:27:28 [INFO] [LOSS] loss=0.9167, semantic_loss=0.4889, center_loss=0.1555, offset_loss=0.2723 2021-04-13 22:29:34 [INFO] [TRAIN] epoch=377, iter=17300/90000, loss=0.8931, lr=0.000041, batch_cost=1.2678, reader_cost=0.30326, ips=6.3100 samples/sec | ETA 25:36:10 2021-04-13 22:29:34 [INFO] [LOSS] loss=0.8931, semantic_loss=0.4754, center_loss=0.1537, offset_loss=0.2640 2021-04-13 22:31:35 [INFO] [TRAIN] epoch=379, iter=17400/90000, loss=0.8919, lr=0.000041, batch_cost=1.2059, reader_cost=0.24840, ips=6.6340 samples/sec | ETA 24:19:09 2021-04-13 22:31:35 [INFO] [LOSS] loss=0.8919, semantic_loss=0.4960, center_loss=0.1670, offset_loss=0.2290 2021-04-13 22:33:35 [INFO] [TRAIN] epoch=381, iter=17500/90000, loss=0.8423, lr=0.000041, batch_cost=1.1977, reader_cost=0.23388, ips=6.6793 samples/sec | ETA 24:07:15 2021-04-13 22:33:35 [INFO] [LOSS] loss=0.8423, semantic_loss=0.4802, center_loss=0.1492, offset_loss=0.2129 2021-04-13 22:35:36 [INFO] [TRAIN] epoch=383, iter=17600/90000, loss=0.9644, lr=0.000041, batch_cost=1.2033, reader_cost=0.23893, ips=6.6485 samples/sec | ETA 24:11:57 2021-04-13 22:35:36 [INFO] [LOSS] loss=0.9644, semantic_loss=0.4865, center_loss=0.1575, offset_loss=0.3204 2021-04-13 22:37:36 [INFO] [TRAIN] epoch=385, iter=17700/90000, loss=0.8841, lr=0.000041, batch_cost=1.1994, reader_cost=0.24081, ips=6.6701 samples/sec | ETA 24:05:15 2021-04-13 22:37:36 [INFO] [LOSS] loss=0.8841, semantic_loss=0.4817, center_loss=0.1601, offset_loss=0.2423 2021-04-13 22:39:35 [INFO] [TRAIN] epoch=387, iter=17800/90000, loss=0.8462, lr=0.000041, batch_cost=1.1883, reader_cost=0.24135, ips=6.7322 samples/sec | ETA 23:49:56 2021-04-13 22:39:35 [INFO] [LOSS] loss=0.8462, semantic_loss=0.4767, center_loss=0.1497, offset_loss=0.2199 2021-04-13 22:41:44 [INFO] [TRAIN] epoch=390, iter=17900/90000, loss=0.9262, lr=0.000041, batch_cost=1.2873, reader_cost=0.33353, ips=6.2146 samples/sec | ETA 25:46:53 2021-04-13 22:41:44 [INFO] [LOSS] loss=0.9262, semantic_loss=0.4979, center_loss=0.1561, offset_loss=0.2721 2021-04-13 22:43:43 [INFO] [TRAIN] epoch=392, iter=18000/90000, loss=0.9924, lr=0.000041, batch_cost=1.1971, reader_cost=0.22847, ips=6.6826 samples/sec | ETA 23:56:33 2021-04-13 22:43:43 [INFO] [LOSS] loss=0.9924, semantic_loss=0.5170, center_loss=0.1579, offset_loss=0.3176 2021-04-13 22:45:43 [INFO] [TRAIN] epoch=394, iter=18100/90000, loss=0.9825, lr=0.000041, batch_cost=1.1944, reader_cost=0.22925, ips=6.6978 samples/sec | ETA 23:51:18 2021-04-13 22:45:43 [INFO] [LOSS] loss=0.9825, semantic_loss=0.5208, center_loss=0.1496, offset_loss=0.3121 2021-04-13 22:47:43 [INFO] [TRAIN] epoch=396, iter=18200/90000, loss=0.9990, lr=0.000041, batch_cost=1.1971, reader_cost=0.23420, ips=6.6826 samples/sec | ETA 23:52:35 2021-04-13 22:47:43 [INFO] [LOSS] loss=0.9990, semantic_loss=0.4891, center_loss=0.1590, offset_loss=0.3509 2021-04-13 22:49:43 [INFO] [TRAIN] epoch=398, iter=18300/90000, loss=0.8653, lr=0.000041, batch_cost=1.1979, reader_cost=0.24180, ips=6.6786 samples/sec | ETA 23:51:26 2021-04-13 22:49:43 [INFO] [LOSS] loss=0.8653, semantic_loss=0.4625, center_loss=0.1480, offset_loss=0.2548 2021-04-13 22:51:42 [INFO] [TRAIN] epoch=400, iter=18400/90000, loss=0.8806, lr=0.000041, batch_cost=1.1877, reader_cost=0.22706, ips=6.7357 samples/sec | ETA 23:37:19 2021-04-13 22:51:42 [INFO] [LOSS] loss=0.8806, semantic_loss=0.4914, center_loss=0.1573, offset_loss=0.2320 2021-04-13 22:53:51 [INFO] [TRAIN] epoch=403, iter=18500/90000, loss=0.8574, lr=0.000041, batch_cost=1.2914, reader_cost=0.33883, ips=6.1950 samples/sec | ETA 25:38:52 2021-04-13 22:53:51 [INFO] [LOSS] loss=0.8574, semantic_loss=0.4671, center_loss=0.1566, offset_loss=0.2338 2021-04-13 22:55:52 [INFO] [TRAIN] epoch=405, iter=18600/90000, loss=0.9132, lr=0.000041, batch_cost=1.2036, reader_cost=0.25043, ips=6.6465 samples/sec | ETA 23:52:19 2021-04-13 22:55:52 [INFO] [LOSS] loss=0.9132, semantic_loss=0.4777, center_loss=0.1542, offset_loss=0.2813 2021-04-13 22:57:51 [INFO] [TRAIN] epoch=407, iter=18700/90000, loss=0.8539, lr=0.000041, batch_cost=1.1936, reader_cost=0.21585, ips=6.7022 samples/sec | ETA 23:38:26 2021-04-13 22:57:51 [INFO] [LOSS] loss=0.8539, semantic_loss=0.4749, center_loss=0.1485, offset_loss=0.2304 2021-04-13 22:59:51 [INFO] [TRAIN] epoch=409, iter=18800/90000, loss=0.8347, lr=0.000040, batch_cost=1.1964, reader_cost=0.21036, ips=6.6868 samples/sec | ETA 23:39:42 2021-04-13 22:59:51 [INFO] [LOSS] loss=0.8347, semantic_loss=0.4806, center_loss=0.1382, offset_loss=0.2159 2021-04-13 23:01:50 [INFO] [TRAIN] epoch=411, iter=18900/90000, loss=0.8471, lr=0.000040, batch_cost=1.1937, reader_cost=0.21961, ips=6.7018 samples/sec | ETA 23:34:32 2021-04-13 23:01:50 [INFO] [LOSS] loss=0.8471, semantic_loss=0.4619, center_loss=0.1447, offset_loss=0.2404 2021-04-13 23:03:58 [INFO] [TRAIN] epoch=414, iter=19000/90000, loss=0.8090, lr=0.000040, batch_cost=1.2711, reader_cost=0.32149, ips=6.2936 samples/sec | ETA 25:04:10 2021-04-13 23:03:58 [INFO] [LOSS] loss=0.8090, semantic_loss=0.4561, center_loss=0.1507, offset_loss=0.2022 2021-04-13 23:05:59 [INFO] [TRAIN] epoch=416, iter=19100/90000, loss=0.8452, lr=0.000040, batch_cost=1.2137, reader_cost=0.25468, ips=6.5916 samples/sec | ETA 23:54:09 2021-04-13 23:05:59 [INFO] [LOSS] loss=0.8452, semantic_loss=0.4685, center_loss=0.1452, offset_loss=0.2316 2021-04-13 23:07:59 [INFO] [TRAIN] epoch=418, iter=19200/90000, loss=0.8373, lr=0.000040, batch_cost=1.1959, reader_cost=0.23707, ips=6.6896 samples/sec | ETA 23:31:08 2021-04-13 23:07:59 [INFO] [LOSS] loss=0.8373, semantic_loss=0.4600, center_loss=0.1508, offset_loss=0.2264 2021-04-13 23:09:59 [INFO] [TRAIN] epoch=420, iter=19300/90000, loss=0.8895, lr=0.000040, batch_cost=1.2039, reader_cost=0.22493, ips=6.6450 samples/sec | ETA 23:38:36 2021-04-13 23:09:59 [INFO] [LOSS] loss=0.8895, semantic_loss=0.4721, center_loss=0.1540, offset_loss=0.2633 2021-04-13 23:11:59 [INFO] [TRAIN] epoch=422, iter=19400/90000, loss=0.7946, lr=0.000040, batch_cost=1.1920, reader_cost=0.21914, ips=6.7114 samples/sec | ETA 23:22:35 2021-04-13 23:11:59 [INFO] [LOSS] loss=0.7946, semantic_loss=0.4417, center_loss=0.1397, offset_loss=0.2133 2021-04-13 23:13:58 [INFO] [TRAIN] epoch=424, iter=19500/90000, loss=0.8320, lr=0.000040, batch_cost=1.1888, reader_cost=0.22831, ips=6.7297 samples/sec | ETA 23:16:47 2021-04-13 23:13:58 [INFO] [LOSS] loss=0.8320, semantic_loss=0.4684, center_loss=0.1510, offset_loss=0.2125 2021-04-13 23:16:06 [INFO] [TRAIN] epoch=427, iter=19600/90000, loss=0.9955, lr=0.000040, batch_cost=1.2823, reader_cost=0.33167, ips=6.2388 samples/sec | ETA 25:04:34 2021-04-13 23:16:06 [INFO] [LOSS] loss=0.9955, semantic_loss=0.4835, center_loss=0.1503, offset_loss=0.3617 2021-04-13 23:18:07 [INFO] [TRAIN] epoch=429, iter=19700/90000, loss=0.8673, lr=0.000040, batch_cost=1.2068, reader_cost=0.25665, ips=6.6289 samples/sec | ETA 23:34:00 2021-04-13 23:18:07 [INFO] [LOSS] loss=0.8673, semantic_loss=0.4941, center_loss=0.1392, offset_loss=0.2340 2021-04-13 23:20:07 [INFO] [TRAIN] epoch=431, iter=19800/90000, loss=0.8407, lr=0.000040, batch_cost=1.2011, reader_cost=0.24377, ips=6.6604 samples/sec | ETA 23:25:19 2021-04-13 23:20:07 [INFO] [LOSS] loss=0.8407, semantic_loss=0.4635, center_loss=0.1577, offset_loss=0.2194 2021-04-13 23:22:06 [INFO] [TRAIN] epoch=433, iter=19900/90000, loss=0.8372, lr=0.000040, batch_cost=1.1855, reader_cost=0.21487, ips=6.7481 samples/sec | ETA 23:05:05 2021-04-13 23:22:06 [INFO] [LOSS] loss=0.8372, semantic_loss=0.4664, center_loss=0.1477, offset_loss=0.2230 2021-04-13 23:24:06 [INFO] [TRAIN] epoch=435, iter=20000/90000, loss=0.8546, lr=0.000040, batch_cost=1.1988, reader_cost=0.23591, ips=6.6736 samples/sec | ETA 23:18:32 2021-04-13 23:24:06 [INFO] [LOSS] loss=0.8546, semantic_loss=0.4877, center_loss=0.1464, offset_loss=0.2205 2021-04-13 23:26:14 [INFO] [TRAIN] epoch=437, iter=20100/90000, loss=0.7896, lr=0.000040, batch_cost=1.1950, reader_cost=0.25370, ips=6.6945 samples/sec | ETA 23:12:11 2021-04-13 23:26:14 [INFO] [LOSS] loss=0.7896, semantic_loss=0.4436, center_loss=0.1407, offset_loss=0.2053 2021-04-13 23:28:23 [INFO] [TRAIN] epoch=440, iter=20200/90000, loss=0.8519, lr=0.000040, batch_cost=1.2875, reader_cost=0.30362, ips=6.2137 samples/sec | ETA 24:57:45 2021-04-13 23:28:23 [INFO] [LOSS] loss=0.8519, semantic_loss=0.4738, center_loss=0.1483, offset_loss=0.2298 2021-04-13 23:30:23 [INFO] [TRAIN] epoch=442, iter=20300/90000, loss=0.8559, lr=0.000040, batch_cost=1.1955, reader_cost=0.23850, ips=6.6915 samples/sec | ETA 23:08:49 2021-04-13 23:30:23 [INFO] [LOSS] loss=0.8559, semantic_loss=0.4765, center_loss=0.1531, offset_loss=0.2262 2021-04-13 23:32:23 [INFO] [TRAIN] epoch=444, iter=20400/90000, loss=0.8557, lr=0.000040, batch_cost=1.1979, reader_cost=0.23706, ips=6.6786 samples/sec | ETA 23:09:30 2021-04-13 23:32:23 [INFO] [LOSS] loss=0.8557, semantic_loss=0.4750, center_loss=0.1444, offset_loss=0.2363 2021-04-13 23:34:25 [INFO] [TRAIN] epoch=446, iter=20500/90000, loss=0.8361, lr=0.000040, batch_cost=1.2143, reader_cost=0.26001, ips=6.5883 samples/sec | ETA 23:26:32 2021-04-13 23:34:25 [INFO] [LOSS] loss=0.8361, semantic_loss=0.4491, center_loss=0.1472, offset_loss=0.2398 2021-04-13 23:36:24 [INFO] [TRAIN] epoch=448, iter=20600/90000, loss=0.8406, lr=0.000040, batch_cost=1.1928, reader_cost=0.22812, ips=6.7067 samples/sec | ETA 22:59:43 2021-04-13 23:36:24 [INFO] [LOSS] loss=0.8406, semantic_loss=0.4657, center_loss=0.1424, offset_loss=0.2325 2021-04-13 23:38:23 [INFO] [TRAIN] epoch=450, iter=20700/90000, loss=0.8440, lr=0.000040, batch_cost=1.1911, reader_cost=0.24363, ips=6.7165 samples/sec | ETA 22:55:42 2021-04-13 23:38:23 [INFO] [LOSS] loss=0.8440, semantic_loss=0.4469, center_loss=0.1420, offset_loss=0.2551 2021-04-13 23:40:32 [INFO] [TRAIN] epoch=453, iter=20800/90000, loss=0.7850, lr=0.000039, batch_cost=1.2828, reader_cost=0.31170, ips=6.2363 samples/sec | ETA 24:39:30 2021-04-13 23:40:32 [INFO] [LOSS] loss=0.7850, semantic_loss=0.4336, center_loss=0.1514, offset_loss=0.2000 2021-04-13 23:42:34 [INFO] [TRAIN] epoch=455, iter=20900/90000, loss=0.8405, lr=0.000039, batch_cost=1.2235, reader_cost=0.27439, ips=6.5386 samples/sec | ETA 23:29:03 2021-04-13 23:42:34 [INFO] [LOSS] loss=0.8405, semantic_loss=0.4700, center_loss=0.1548, offset_loss=0.2157 2021-04-13 23:44:34 [INFO] [TRAIN] epoch=457, iter=21000/90000, loss=0.8972, lr=0.000039, batch_cost=1.1929, reader_cost=0.24240, ips=6.7063 samples/sec | ETA 22:51:50 2021-04-13 23:44:34 [INFO] [LOSS] loss=0.8972, semantic_loss=0.4658, center_loss=0.1456, offset_loss=0.2858 2021-04-13 23:46:34 [INFO] [TRAIN] epoch=459, iter=21100/90000, loss=0.8456, lr=0.000039, batch_cost=1.1975, reader_cost=0.23667, ips=6.6805 samples/sec | ETA 22:55:09 2021-04-13 23:46:34 [INFO] [LOSS] loss=0.8456, semantic_loss=0.4525, center_loss=0.1446, offset_loss=0.2485 2021-04-13 23:48:33 [INFO] [TRAIN] epoch=461, iter=21200/90000, loss=0.7401, lr=0.000039, batch_cost=1.1972, reader_cost=0.22670, ips=6.6824 samples/sec | ETA 22:52:45 2021-04-13 23:48:33 [INFO] [LOSS] loss=0.7401, semantic_loss=0.4114, center_loss=0.1306, offset_loss=0.1982 2021-04-13 23:50:40 [INFO] [TRAIN] epoch=464, iter=21300/90000, loss=0.7523, lr=0.000039, batch_cost=1.2664, reader_cost=0.29325, ips=6.3170 samples/sec | ETA 24:10:03 2021-04-13 23:50:40 [INFO] [LOSS] loss=0.7523, semantic_loss=0.4462, center_loss=0.1337, offset_loss=0.1724 2021-04-13 23:52:41 [INFO] [TRAIN] epoch=466, iter=21400/90000, loss=0.8221, lr=0.000039, batch_cost=1.2040, reader_cost=0.24574, ips=6.6444 samples/sec | ETA 22:56:36 2021-04-13 23:52:41 [INFO] [LOSS] loss=0.8221, semantic_loss=0.4451, center_loss=0.1513, offset_loss=0.2257 2021-04-13 23:54:42 [INFO] [TRAIN] epoch=468, iter=21500/90000, loss=0.8706, lr=0.000039, batch_cost=1.2153, reader_cost=0.26977, ips=6.5826 samples/sec | ETA 23:07:30 2021-04-13 23:54:42 [INFO] [LOSS] loss=0.8706, semantic_loss=0.4784, center_loss=0.1550, offset_loss=0.2372 2021-04-13 23:56:42 [INFO] [TRAIN] epoch=470, iter=21600/90000, loss=0.8721, lr=0.000039, batch_cost=1.1932, reader_cost=0.21555, ips=6.7047 samples/sec | ETA 22:40:14 2021-04-13 23:56:42 [INFO] [LOSS] loss=0.8721, semantic_loss=0.4696, center_loss=0.1469, offset_loss=0.2557 2021-04-13 23:58:42 [INFO] [TRAIN] epoch=472, iter=21700/90000, loss=0.7505, lr=0.000039, batch_cost=1.2009, reader_cost=0.23649, ips=6.6615 samples/sec | ETA 22:47:03 2021-04-13 23:58:42 [INFO] [LOSS] loss=0.7505, semantic_loss=0.4209, center_loss=0.1406, offset_loss=0.1889 2021-04-14 00:00:41 [INFO] [TRAIN] epoch=474, iter=21800/90000, loss=0.7886, lr=0.000039, batch_cost=1.1905, reader_cost=0.22219, ips=6.7196 samples/sec | ETA 22:33:14 2021-04-14 00:00:41 [INFO] [LOSS] loss=0.7886, semantic_loss=0.4455, center_loss=0.1449, offset_loss=0.1981 2021-04-14 00:02:49 [INFO] [TRAIN] epoch=477, iter=21900/90000, loss=0.8540, lr=0.000039, batch_cost=1.2786, reader_cost=0.32372, ips=6.2569 samples/sec | ETA 24:11:11 2021-04-14 00:02:49 [INFO] [LOSS] loss=0.8540, semantic_loss=0.4648, center_loss=0.1404, offset_loss=0.2488 2021-04-14 00:04:49 [INFO] [TRAIN] epoch=479, iter=22000/90000, loss=0.7701, lr=0.000039, batch_cost=1.1959, reader_cost=0.23914, ips=6.6895 samples/sec | ETA 22:35:22 2021-04-14 00:04:49 [INFO] [LOSS] loss=0.7701, semantic_loss=0.4414, center_loss=0.1413, offset_loss=0.1874 2021-04-14 00:06:48 [INFO] [TRAIN] epoch=481, iter=22100/90000, loss=0.8754, lr=0.000039, batch_cost=1.1931, reader_cost=0.22588, ips=6.7053 samples/sec | ETA 22:30:10 2021-04-14 00:06:48 [INFO] [LOSS] loss=0.8754, semantic_loss=0.4554, center_loss=0.1415, offset_loss=0.2786 2021-04-14 00:08:49 [INFO] [TRAIN] epoch=483, iter=22200/90000, loss=0.7633, lr=0.000039, batch_cost=1.2001, reader_cost=0.24186, ips=6.6662 samples/sec | ETA 22:36:05 2021-04-14 00:08:49 [INFO] [LOSS] loss=0.7633, semantic_loss=0.4277, center_loss=0.1364, offset_loss=0.1992 2021-04-14 00:10:49 [INFO] [TRAIN] epoch=485, iter=22300/90000, loss=0.7276, lr=0.000039, batch_cost=1.2046, reader_cost=0.24010, ips=6.6415 samples/sec | ETA 22:39:08 2021-04-14 00:10:49 [INFO] [LOSS] loss=0.7276, semantic_loss=0.4322, center_loss=0.1266, offset_loss=0.1687 2021-04-14 00:12:50 [INFO] [TRAIN] epoch=487, iter=22400/90000, loss=0.7834, lr=0.000039, batch_cost=1.2027, reader_cost=0.26078, ips=6.6518 samples/sec | ETA 22:35:01 2021-04-14 00:12:50 [INFO] [LOSS] loss=0.7834, semantic_loss=0.4221, center_loss=0.1390, offset_loss=0.2222 2021-04-14 00:14:58 [INFO] [TRAIN] epoch=490, iter=22500/90000, loss=0.7931, lr=0.000039, batch_cost=1.2818, reader_cost=0.30463, ips=6.2410 samples/sec | ETA 24:02:03 2021-04-14 00:14:58 [INFO] [LOSS] loss=0.7931, semantic_loss=0.4638, center_loss=0.1405, offset_loss=0.1888 2021-04-14 00:16:58 [INFO] [TRAIN] epoch=492, iter=22600/90000, loss=0.8431, lr=0.000039, batch_cost=1.1946, reader_cost=0.22564, ips=6.6970 samples/sec | ETA 22:21:54 2021-04-14 00:16:58 [INFO] [LOSS] loss=0.8431, semantic_loss=0.4527, center_loss=0.1521, offset_loss=0.2383 2021-04-14 00:18:58 [INFO] [TRAIN] epoch=494, iter=22700/90000, loss=0.7470, lr=0.000038, batch_cost=1.2028, reader_cost=0.23875, ips=6.6513 samples/sec | ETA 22:29:05 2021-04-14 00:18:58 [INFO] [LOSS] loss=0.7470, semantic_loss=0.4499, center_loss=0.1357, offset_loss=0.1615 2021-04-14 00:20:59 [INFO] [TRAIN] epoch=496, iter=22800/90000, loss=0.7686, lr=0.000038, batch_cost=1.2040, reader_cost=0.25533, ips=6.6444 samples/sec | ETA 22:28:30 2021-04-14 00:20:59 [INFO] [LOSS] loss=0.7686, semantic_loss=0.4340, center_loss=0.1342, offset_loss=0.2004 2021-04-14 00:22:58 [INFO] [TRAIN] epoch=498, iter=22900/90000, loss=0.7909, lr=0.000038, batch_cost=1.1959, reader_cost=0.23997, ips=6.6894 samples/sec | ETA 22:17:26 2021-04-14 00:22:58 [INFO] [LOSS] loss=0.7909, semantic_loss=0.4646, center_loss=0.1266, offset_loss=0.1998 2021-04-14 00:24:57 [INFO] [TRAIN] epoch=500, iter=23000/90000, loss=0.7311, lr=0.000038, batch_cost=1.1878, reader_cost=0.23702, ips=6.7351 samples/sec | ETA 22:06:23 2021-04-14 00:24:57 [INFO] [LOSS] loss=0.7311, semantic_loss=0.4071, center_loss=0.1353, offset_loss=0.1887 2021-04-14 00:27:06 [INFO] [TRAIN] epoch=503, iter=23100/90000, loss=0.8841, lr=0.000038, batch_cost=1.2816, reader_cost=0.31743, ips=6.2422 samples/sec | ETA 23:48:58 2021-04-14 00:27:06 [INFO] [LOSS] loss=0.8841, semantic_loss=0.4487, center_loss=0.1455, offset_loss=0.2899 2021-04-14 00:29:06 [INFO] [TRAIN] epoch=505, iter=23200/90000, loss=0.8201, lr=0.000038, batch_cost=1.2075, reader_cost=0.25410, ips=6.6255 samples/sec | ETA 22:24:18 2021-04-14 00:29:06 [INFO] [LOSS] loss=0.8201, semantic_loss=0.4368, center_loss=0.1387, offset_loss=0.2446 2021-04-14 00:31:05 [INFO] [TRAIN] epoch=507, iter=23300/90000, loss=0.8344, lr=0.000038, batch_cost=1.1874, reader_cost=0.23095, ips=6.7375 samples/sec | ETA 21:59:58 2021-04-14 00:31:05 [INFO] [LOSS] loss=0.8344, semantic_loss=0.4335, center_loss=0.1379, offset_loss=0.2630 2021-04-14 00:33:05 [INFO] [TRAIN] epoch=509, iter=23400/90000, loss=0.7561, lr=0.000038, batch_cost=1.1972, reader_cost=0.22029, ips=6.6823 samples/sec | ETA 22:08:52 2021-04-14 00:33:05 [INFO] [LOSS] loss=0.7561, semantic_loss=0.4197, center_loss=0.1323, offset_loss=0.2041 2021-04-14 00:35:06 [INFO] [TRAIN] epoch=511, iter=23500/90000, loss=0.7377, lr=0.000038, batch_cost=1.2062, reader_cost=0.25523, ips=6.6326 samples/sec | ETA 22:16:50 2021-04-14 00:35:06 [INFO] [LOSS] loss=0.7377, semantic_loss=0.4187, center_loss=0.1268, offset_loss=0.1922 2021-04-14 00:37:15 [INFO] [TRAIN] epoch=514, iter=23600/90000, loss=0.7521, lr=0.000038, batch_cost=1.2844, reader_cost=0.32233, ips=6.2288 samples/sec | ETA 23:41:20 2021-04-14 00:37:15 [INFO] [LOSS] loss=0.7521, semantic_loss=0.4092, center_loss=0.1255, offset_loss=0.2174 2021-04-14 00:39:16 [INFO] [TRAIN] epoch=516, iter=23700/90000, loss=0.7432, lr=0.000038, batch_cost=1.2138, reader_cost=0.26046, ips=6.5910 samples/sec | ETA 22:21:13 2021-04-14 00:39:16 [INFO] [LOSS] loss=0.7432, semantic_loss=0.4234, center_loss=0.1364, offset_loss=0.1833 2021-04-14 00:41:17 [INFO] [TRAIN] epoch=518, iter=23800/90000, loss=0.8416, lr=0.000038, batch_cost=1.2056, reader_cost=0.24246, ips=6.6358 samples/sec | ETA 22:10:09 2021-04-14 00:41:17 [INFO] [LOSS] loss=0.8416, semantic_loss=0.4433, center_loss=0.1504, offset_loss=0.2479 2021-04-14 00:43:16 [INFO] [TRAIN] epoch=520, iter=23900/90000, loss=0.7863, lr=0.000038, batch_cost=1.1868, reader_cost=0.21218, ips=6.7409 samples/sec | ETA 21:47:26 2021-04-14 00:43:16 [INFO] [LOSS] loss=0.7863, semantic_loss=0.4360, center_loss=0.1409, offset_loss=0.2094 2021-04-14 00:45:16 [INFO] [TRAIN] epoch=522, iter=24000/90000, loss=0.7676, lr=0.000038, batch_cost=1.1974, reader_cost=0.23361, ips=6.6814 samples/sec | ETA 21:57:05 2021-04-14 00:45:16 [INFO] [LOSS] loss=0.7676, semantic_loss=0.4392, center_loss=0.1272, offset_loss=0.2012 2021-04-14 00:47:15 [INFO] [TRAIN] epoch=524, iter=24100/90000, loss=0.7934, lr=0.000038, batch_cost=1.1940, reader_cost=0.24453, ips=6.7003 samples/sec | ETA 21:51:23 2021-04-14 00:47:15 [INFO] [LOSS] loss=0.7934, semantic_loss=0.4179, center_loss=0.1336, offset_loss=0.2419 2021-04-14 00:49:23 [INFO] [TRAIN] epoch=527, iter=24200/90000, loss=0.8190, lr=0.000038, batch_cost=1.2777, reader_cost=0.33106, ips=6.2615 samples/sec | ETA 23:21:09 2021-04-14 00:49:23 [INFO] [LOSS] loss=0.8190, semantic_loss=0.4249, center_loss=0.1383, offset_loss=0.2558 2021-04-14 00:51:24 [INFO] [TRAIN] epoch=529, iter=24300/90000, loss=0.7916, lr=0.000038, batch_cost=1.2054, reader_cost=0.23673, ips=6.6366 samples/sec | ETA 21:59:57 2021-04-14 00:51:24 [INFO] [LOSS] loss=0.7916, semantic_loss=0.4305, center_loss=0.1434, offset_loss=0.2177 2021-04-14 00:53:22 [INFO] [TRAIN] epoch=531, iter=24400/90000, loss=0.7722, lr=0.000038, batch_cost=1.1856, reader_cost=0.22654, ips=6.7474 samples/sec | ETA 21:36:18 2021-04-14 00:53:22 [INFO] [LOSS] loss=0.7722, semantic_loss=0.4224, center_loss=0.1432, offset_loss=0.2065 2021-04-14 00:55:23 [INFO] [TRAIN] epoch=533, iter=24500/90000, loss=0.7400, lr=0.000038, batch_cost=1.2053, reader_cost=0.24891, ips=6.6373 samples/sec | ETA 21:55:47 2021-04-14 00:55:23 [INFO] [LOSS] loss=0.7400, semantic_loss=0.4046, center_loss=0.1342, offset_loss=0.2013 2021-04-14 00:57:25 [INFO] [TRAIN] epoch=535, iter=24600/90000, loss=0.7250, lr=0.000038, batch_cost=1.2130, reader_cost=0.24700, ips=6.5950 samples/sec | ETA 22:02:12 2021-04-14 00:57:25 [INFO] [LOSS] loss=0.7250, semantic_loss=0.3969, center_loss=0.1285, offset_loss=0.1997 2021-04-14 00:59:24 [INFO] [TRAIN] epoch=537, iter=24700/90000, loss=0.7071, lr=0.000037, batch_cost=1.1892, reader_cost=0.22178, ips=6.7271 samples/sec | ETA 21:34:15 2021-04-14 00:59:24 [INFO] [LOSS] loss=0.7071, semantic_loss=0.4077, center_loss=0.1308, offset_loss=0.1685 2021-04-14 01:01:32 [INFO] [TRAIN] epoch=540, iter=24800/90000, loss=0.7738, lr=0.000037, batch_cost=1.2849, reader_cost=0.32252, ips=6.2263 samples/sec | ETA 23:16:13 2021-04-14 01:01:32 [INFO] [LOSS] loss=0.7738, semantic_loss=0.4173, center_loss=0.1365, offset_loss=0.2200 2021-04-14 01:03:32 [INFO] [TRAIN] epoch=542, iter=24900/90000, loss=0.7635, lr=0.000037, batch_cost=1.1980, reader_cost=0.24507, ips=6.6777 samples/sec | ETA 21:39:51 2021-04-14 01:03:32 [INFO] [LOSS] loss=0.7635, semantic_loss=0.4260, center_loss=0.1427, offset_loss=0.1948 2021-04-14 01:05:33 [INFO] [TRAIN] epoch=544, iter=25000/90000, loss=0.7696, lr=0.000037, batch_cost=1.2021, reader_cost=0.23612, ips=6.6548 samples/sec | ETA 21:42:19 2021-04-14 01:05:33 [INFO] [LOSS] loss=0.7696, semantic_loss=0.4426, center_loss=0.1354, offset_loss=0.1916 2021-04-14 01:07:40 [INFO] [TRAIN] epoch=546, iter=25100/90000, loss=0.7942, lr=0.000037, batch_cost=1.1878, reader_cost=0.23746, ips=6.7352 samples/sec | ETA 21:24:47 2021-04-14 01:07:40 [INFO] [LOSS] loss=0.7942, semantic_loss=0.4450, center_loss=0.1398, offset_loss=0.2093 2021-04-14 01:09:39 [INFO] [TRAIN] epoch=548, iter=25200/90000, loss=0.7884, lr=0.000037, batch_cost=1.1881, reader_cost=0.21201, ips=6.7333 samples/sec | ETA 21:23:10 2021-04-14 01:09:39 [INFO] [LOSS] loss=0.7884, semantic_loss=0.4401, center_loss=0.1331, offset_loss=0.2152 2021-04-14 01:11:38 [INFO] [TRAIN] epoch=550, iter=25300/90000, loss=0.7099, lr=0.000037, batch_cost=1.1900, reader_cost=0.23778, ips=6.7226 samples/sec | ETA 21:23:13 2021-04-14 01:11:38 [INFO] [LOSS] loss=0.7099, semantic_loss=0.4199, center_loss=0.1214, offset_loss=0.1686 2021-04-14 01:13:48 [INFO] [TRAIN] epoch=553, iter=25400/90000, loss=0.7146, lr=0.000037, batch_cost=1.2939, reader_cost=0.33601, ips=6.1828 samples/sec | ETA 23:13:06 2021-04-14 01:13:48 [INFO] [LOSS] loss=0.7146, semantic_loss=0.4153, center_loss=0.1293, offset_loss=0.1700 2021-04-14 01:15:48 [INFO] [TRAIN] epoch=555, iter=25500/90000, loss=0.7451, lr=0.000037, batch_cost=1.1986, reader_cost=0.23761, ips=6.6747 samples/sec | ETA 21:28:26 2021-04-14 01:15:48 [INFO] [LOSS] loss=0.7451, semantic_loss=0.4368, center_loss=0.1304, offset_loss=0.1779 2021-04-14 01:17:47 [INFO] [TRAIN] epoch=557, iter=25600/90000, loss=0.7270, lr=0.000037, batch_cost=1.1937, reader_cost=0.23051, ips=6.7016 samples/sec | ETA 21:21:16 2021-04-14 01:17:47 [INFO] [LOSS] loss=0.7270, semantic_loss=0.4124, center_loss=0.1296, offset_loss=0.1851 2021-04-14 01:19:47 [INFO] [TRAIN] epoch=559, iter=25700/90000, loss=0.7692, lr=0.000037, batch_cost=1.1983, reader_cost=0.23397, ips=6.6761 samples/sec | ETA 21:24:11 2021-04-14 01:19:47 [INFO] [LOSS] loss=0.7692, semantic_loss=0.4246, center_loss=0.1406, offset_loss=0.2040 2021-04-14 01:21:48 [INFO] [TRAIN] epoch=561, iter=25800/90000, loss=0.6936, lr=0.000037, batch_cost=1.2077, reader_cost=0.25651, ips=6.6242 samples/sec | ETA 21:32:13 2021-04-14 01:21:48 [INFO] [LOSS] loss=0.6936, semantic_loss=0.4067, center_loss=0.1209, offset_loss=0.1660 2021-04-14 01:23:55 [INFO] [TRAIN] epoch=564, iter=25900/90000, loss=0.7299, lr=0.000037, batch_cost=1.2687, reader_cost=0.31946, ips=6.3055 samples/sec | ETA 22:35:25 2021-04-14 01:23:55 [INFO] [LOSS] loss=0.7299, semantic_loss=0.4121, center_loss=0.1300, offset_loss=0.1877 2021-04-14 01:25:56 [INFO] [TRAIN] epoch=566, iter=26000/90000, loss=0.7264, lr=0.000037, batch_cost=1.2047, reader_cost=0.23981, ips=6.6406 samples/sec | ETA 21:25:01 2021-04-14 01:25:56 [INFO] [LOSS] loss=0.7264, semantic_loss=0.4087, center_loss=0.1304, offset_loss=0.1873 2021-04-14 01:27:57 [INFO] [TRAIN] epoch=568, iter=26100/90000, loss=0.7246, lr=0.000037, batch_cost=1.2099, reader_cost=0.25588, ips=6.6123 samples/sec | ETA 21:28:30 2021-04-14 01:27:57 [INFO] [LOSS] loss=0.7246, semantic_loss=0.4256, center_loss=0.1300, offset_loss=0.1689 2021-04-14 01:29:57 [INFO] [TRAIN] epoch=570, iter=26200/90000, loss=0.7651, lr=0.000037, batch_cost=1.1949, reader_cost=0.23385, ips=6.6953 samples/sec | ETA 21:10:32 2021-04-14 01:29:57 [INFO] [LOSS] loss=0.7651, semantic_loss=0.4284, center_loss=0.1447, offset_loss=0.1921 2021-04-14 01:31:57 [INFO] [TRAIN] epoch=572, iter=26300/90000, loss=0.7377, lr=0.000037, batch_cost=1.2025, reader_cost=0.22912, ips=6.6529 samples/sec | ETA 21:16:38 2021-04-14 01:31:57 [INFO] [LOSS] loss=0.7377, semantic_loss=0.4513, center_loss=0.1266, offset_loss=0.1598 2021-04-14 01:33:58 [INFO] [TRAIN] epoch=574, iter=26400/90000, loss=0.7324, lr=0.000037, batch_cost=1.2095, reader_cost=0.25729, ips=6.6142 samples/sec | ETA 21:22:05 2021-04-14 01:33:58 [INFO] [LOSS] loss=0.7324, semantic_loss=0.4109, center_loss=0.1361, offset_loss=0.1854 2021-04-14 01:36:05 [INFO] [TRAIN] epoch=577, iter=26500/90000, loss=0.8305, lr=0.000037, batch_cost=1.2645, reader_cost=0.31429, ips=6.3267 samples/sec | ETA 22:18:14 2021-04-14 01:36:05 [INFO] [LOSS] loss=0.8305, semantic_loss=0.4123, center_loss=0.1332, offset_loss=0.2850 2021-04-14 01:38:05 [INFO] [TRAIN] epoch=579, iter=26600/90000, loss=0.7898, lr=0.000036, batch_cost=1.2053, reader_cost=0.24085, ips=6.6376 samples/sec | ETA 21:13:33 2021-04-14 01:38:05 [INFO] [LOSS] loss=0.7898, semantic_loss=0.4187, center_loss=0.1301, offset_loss=0.2410 2021-04-14 01:40:05 [INFO] [TRAIN] epoch=581, iter=26700/90000, loss=0.7398, lr=0.000036, batch_cost=1.1913, reader_cost=0.22428, ips=6.7151 samples/sec | ETA 20:56:51 2021-04-14 01:40:05 [INFO] [LOSS] loss=0.7398, semantic_loss=0.4062, center_loss=0.1329, offset_loss=0.2007 2021-04-14 01:42:05 [INFO] [TRAIN] epoch=583, iter=26800/90000, loss=0.7132, lr=0.000036, batch_cost=1.2018, reader_cost=0.22783, ips=6.6564 samples/sec | ETA 21:05:56 2021-04-14 01:42:05 [INFO] [LOSS] loss=0.7132, semantic_loss=0.4004, center_loss=0.1353, offset_loss=0.1776 2021-04-14 01:44:06 [INFO] [TRAIN] epoch=585, iter=26900/90000, loss=0.7506, lr=0.000036, batch_cost=1.2026, reader_cost=0.25075, ips=6.6524 samples/sec | ETA 21:04:42 2021-04-14 01:44:06 [INFO] [LOSS] loss=0.7506, semantic_loss=0.4024, center_loss=0.1316, offset_loss=0.2167 2021-04-14 01:46:06 [INFO] [TRAIN] epoch=587, iter=27000/90000, loss=0.7158, lr=0.000036, batch_cost=1.2066, reader_cost=0.24781, ips=6.6301 samples/sec | ETA 21:06:56 2021-04-14 01:46:06 [INFO] [LOSS] loss=0.7158, semantic_loss=0.4012, center_loss=0.1326, offset_loss=0.1820 2021-04-14 01:48:16 [INFO] [TRAIN] epoch=590, iter=27100/90000, loss=0.7791, lr=0.000036, batch_cost=1.2956, reader_cost=0.33788, ips=6.1747 samples/sec | ETA 22:38:13 2021-04-14 01:48:16 [INFO] [LOSS] loss=0.7791, semantic_loss=0.4420, center_loss=0.1283, offset_loss=0.2088 2021-04-14 01:50:15 [INFO] [TRAIN] epoch=592, iter=27200/90000, loss=0.7501, lr=0.000036, batch_cost=1.1914, reader_cost=0.23415, ips=6.7150 samples/sec | ETA 20:46:57 2021-04-14 01:50:15 [INFO] [LOSS] loss=0.7501, semantic_loss=0.4098, center_loss=0.1278, offset_loss=0.2125 2021-04-14 01:52:15 [INFO] [TRAIN] epoch=594, iter=27300/90000, loss=0.7468, lr=0.000036, batch_cost=1.1985, reader_cost=0.23790, ips=6.6751 samples/sec | ETA 20:52:25 2021-04-14 01:52:15 [INFO] [LOSS] loss=0.7468, semantic_loss=0.4144, center_loss=0.1338, offset_loss=0.1987 2021-04-14 01:54:15 [INFO] [TRAIN] epoch=596, iter=27400/90000, loss=0.7026, lr=0.000036, batch_cost=1.1987, reader_cost=0.22972, ips=6.6738 samples/sec | ETA 20:50:39 2021-04-14 01:54:15 [INFO] [LOSS] loss=0.7026, semantic_loss=0.3978, center_loss=0.1295, offset_loss=0.1753 2021-04-14 01:56:16 [INFO] [TRAIN] epoch=598, iter=27500/90000, loss=0.6896, lr=0.000036, batch_cost=1.2098, reader_cost=0.23910, ips=6.6127 samples/sec | ETA 21:00:12 2021-04-14 01:56:16 [INFO] [LOSS] loss=0.6896, semantic_loss=0.3989, center_loss=0.1215, offset_loss=0.1691 2021-04-14 01:58:15 [INFO] [TRAIN] epoch=600, iter=27600/90000, loss=0.7686, lr=0.000036, batch_cost=1.1838, reader_cost=0.23618, ips=6.7580 samples/sec | ETA 20:31:08 2021-04-14 01:58:15 [INFO] [LOSS] loss=0.7686, semantic_loss=0.4162, center_loss=0.1351, offset_loss=0.2173 2021-04-14 02:00:24 [INFO] [TRAIN] epoch=603, iter=27700/90000, loss=0.7472, lr=0.000036, batch_cost=1.2863, reader_cost=0.33153, ips=6.2196 samples/sec | ETA 22:15:33 2021-04-14 02:00:24 [INFO] [LOSS] loss=0.7472, semantic_loss=0.4117, center_loss=0.1335, offset_loss=0.2021 2021-04-14 02:02:24 [INFO] [TRAIN] epoch=605, iter=27800/90000, loss=0.7352, lr=0.000036, batch_cost=1.1992, reader_cost=0.24961, ips=6.6708 samples/sec | ETA 20:43:13 2021-04-14 02:02:24 [INFO] [LOSS] loss=0.7352, semantic_loss=0.4179, center_loss=0.1325, offset_loss=0.1849 2021-04-14 02:04:24 [INFO] [TRAIN] epoch=607, iter=27900/90000, loss=0.7422, lr=0.000036, batch_cost=1.1965, reader_cost=0.24786, ips=6.6864 samples/sec | ETA 20:38:19 2021-04-14 02:04:24 [INFO] [LOSS] loss=0.7422, semantic_loss=0.4189, center_loss=0.1345, offset_loss=0.1888 2021-04-14 02:06:23 [INFO] [TRAIN] epoch=609, iter=28000/90000, loss=0.7809, lr=0.000036, batch_cost=1.1941, reader_cost=0.23617, ips=6.6997 samples/sec | ETA 20:33:52 2021-04-14 02:06:23 [INFO] [LOSS] loss=0.7809, semantic_loss=0.4353, center_loss=0.1374, offset_loss=0.2082 2021-04-14 02:08:23 [INFO] [TRAIN] epoch=611, iter=28100/90000, loss=0.7684, lr=0.000036, batch_cost=1.1978, reader_cost=0.22597, ips=6.6789 samples/sec | ETA 20:35:43 2021-04-14 02:08:23 [INFO] [LOSS] loss=0.7684, semantic_loss=0.4317, center_loss=0.1320, offset_loss=0.2048 2021-04-14 02:10:30 [INFO] [TRAIN] epoch=614, iter=28200/90000, loss=0.7524, lr=0.000036, batch_cost=1.2631, reader_cost=0.29719, ips=6.3335 samples/sec | ETA 21:41:00 2021-04-14 02:10:30 [INFO] [LOSS] loss=0.7524, semantic_loss=0.4337, center_loss=0.1299, offset_loss=0.1888 2021-04-14 02:12:30 [INFO] [TRAIN] epoch=616, iter=28300/90000, loss=0.7335, lr=0.000036, batch_cost=1.2004, reader_cost=0.23766, ips=6.6642 samples/sec | ETA 20:34:26 2021-04-14 02:12:30 [INFO] [LOSS] loss=0.7335, semantic_loss=0.3862, center_loss=0.1302, offset_loss=0.2170 2021-04-14 02:14:31 [INFO] [TRAIN] epoch=618, iter=28400/90000, loss=0.7247, lr=0.000036, batch_cost=1.2055, reader_cost=0.25417, ips=6.6361 samples/sec | ETA 20:37:40 2021-04-14 02:14:31 [INFO] [LOSS] loss=0.7247, semantic_loss=0.4315, center_loss=0.1347, offset_loss=0.1586 2021-04-14 02:16:30 [INFO] [TRAIN] epoch=620, iter=28500/90000, loss=0.6882, lr=0.000035, batch_cost=1.1874, reader_cost=0.22197, ips=6.7375 samples/sec | ETA 20:17:04 2021-04-14 02:16:30 [INFO] [LOSS] loss=0.6882, semantic_loss=0.3940, center_loss=0.1240, offset_loss=0.1702 2021-04-14 02:18:31 [INFO] [TRAIN] epoch=622, iter=28600/90000, loss=0.7408, lr=0.000035, batch_cost=1.2141, reader_cost=0.26095, ips=6.5893 samples/sec | ETA 20:42:24 2021-04-14 02:18:31 [INFO] [LOSS] loss=0.7408, semantic_loss=0.4093, center_loss=0.1316, offset_loss=0.1999 2021-04-14 02:20:30 [INFO] [TRAIN] epoch=624, iter=28700/90000, loss=0.6682, lr=0.000035, batch_cost=1.1856, reader_cost=0.21406, ips=6.7474 samples/sec | ETA 20:11:19 2021-04-14 02:20:30 [INFO] [LOSS] loss=0.6682, semantic_loss=0.3894, center_loss=0.1262, offset_loss=0.1526 2021-04-14 02:22:38 [INFO] [TRAIN] epoch=627, iter=28800/90000, loss=0.6809, lr=0.000035, batch_cost=1.2760, reader_cost=0.29734, ips=6.2694 samples/sec | ETA 21:41:33 2021-04-14 02:22:38 [INFO] [LOSS] loss=0.6809, semantic_loss=0.3914, center_loss=0.1210, offset_loss=0.1684 2021-04-14 02:24:38 [INFO] [TRAIN] epoch=629, iter=28900/90000, loss=0.6879, lr=0.000035, batch_cost=1.1986, reader_cost=0.24485, ips=6.6742 samples/sec | ETA 20:20:37 2021-04-14 02:24:38 [INFO] [LOSS] loss=0.6879, semantic_loss=0.4086, center_loss=0.1222, offset_loss=0.1572 2021-04-14 02:26:37 [INFO] [TRAIN] epoch=631, iter=29000/90000, loss=0.7713, lr=0.000035, batch_cost=1.1956, reader_cost=0.23010, ips=6.6913 samples/sec | ETA 20:15:30 2021-04-14 02:26:37 [INFO] [LOSS] loss=0.7713, semantic_loss=0.4141, center_loss=0.1360, offset_loss=0.2211 2021-04-14 02:28:37 [INFO] [TRAIN] epoch=633, iter=29100/90000, loss=0.7196, lr=0.000035, batch_cost=1.1923, reader_cost=0.22379, ips=6.7100 samples/sec | ETA 20:10:08 2021-04-14 02:28:37 [INFO] [LOSS] loss=0.7196, semantic_loss=0.3960, center_loss=0.1376, offset_loss=0.1859 2021-04-14 02:30:37 [INFO] [TRAIN] epoch=635, iter=29200/90000, loss=0.7936, lr=0.000035, batch_cost=1.1965, reader_cost=0.23225, ips=6.6863 samples/sec | ETA 20:12:26 2021-04-14 02:30:37 [INFO] [LOSS] loss=0.7936, semantic_loss=0.4172, center_loss=0.1267, offset_loss=0.2498 2021-04-14 02:32:35 [INFO] [TRAIN] epoch=637, iter=29300/90000, loss=0.6942, lr=0.000035, batch_cost=1.1866, reader_cost=0.22791, ips=6.7417 samples/sec | ETA 20:00:28 2021-04-14 02:32:35 [INFO] [LOSS] loss=0.6942, semantic_loss=0.3772, center_loss=0.1216, offset_loss=0.1954 2021-04-14 02:34:45 [INFO] [TRAIN] epoch=640, iter=29400/90000, loss=0.6877, lr=0.000035, batch_cost=1.2960, reader_cost=0.34579, ips=6.1730 samples/sec | ETA 21:48:56 2021-04-14 02:34:45 [INFO] [LOSS] loss=0.6877, semantic_loss=0.3994, center_loss=0.1335, offset_loss=0.1548 2021-04-14 02:36:45 [INFO] [TRAIN] epoch=642, iter=29500/90000, loss=0.7392, lr=0.000035, batch_cost=1.1987, reader_cost=0.24040, ips=6.6739 samples/sec | ETA 20:08:41 2021-04-14 02:36:45 [INFO] [LOSS] loss=0.7392, semantic_loss=0.4015, center_loss=0.1308, offset_loss=0.2069 2021-04-14 02:38:46 [INFO] [TRAIN] epoch=644, iter=29600/90000, loss=0.7064, lr=0.000035, batch_cost=1.2105, reader_cost=0.25237, ips=6.6089 samples/sec | ETA 20:18:33 2021-04-14 02:38:46 [INFO] [LOSS] loss=0.7064, semantic_loss=0.3937, center_loss=0.1227, offset_loss=0.1900 2021-04-14 02:40:46 [INFO] [TRAIN] epoch=646, iter=29700/90000, loss=0.6861, lr=0.000035, batch_cost=1.2000, reader_cost=0.23967, ips=6.6665 samples/sec | ETA 20:06:01 2021-04-14 02:40:46 [INFO] [LOSS] loss=0.6861, semantic_loss=0.3984, center_loss=0.1262, offset_loss=0.1616 2021-04-14 02:42:47 [INFO] [TRAIN] epoch=648, iter=29800/90000, loss=0.6772, lr=0.000035, batch_cost=1.2027, reader_cost=0.24268, ips=6.6514 samples/sec | ETA 20:06:45 2021-04-14 02:42:47 [INFO] [LOSS] loss=0.6772, semantic_loss=0.3868, center_loss=0.1301, offset_loss=0.1603 2021-04-14 02:44:45 [INFO] [TRAIN] epoch=650, iter=29900/90000, loss=0.7475, lr=0.000035, batch_cost=1.1799, reader_cost=0.21334, ips=6.7803 samples/sec | ETA 19:41:51 2021-04-14 02:44:45 [INFO] [LOSS] loss=0.7475, semantic_loss=0.3917, center_loss=0.1225, offset_loss=0.2333 2021-04-14 02:46:54 [INFO] [TRAIN] epoch=653, iter=30000/90000, loss=0.7137, lr=0.000035, batch_cost=1.2879, reader_cost=0.32306, ips=6.2117 samples/sec | ETA 21:27:54 2021-04-14 02:46:54 [INFO] [LOSS] loss=0.7137, semantic_loss=0.4152, center_loss=0.1302, offset_loss=0.1682 2021-04-14 02:49:01 [INFO] [TRAIN] epoch=655, iter=30100/90000, loss=0.7254, lr=0.000035, batch_cost=1.1817, reader_cost=0.22002, ips=6.7697 samples/sec | ETA 19:39:45 2021-04-14 02:49:01 [INFO] [LOSS] loss=0.7254, semantic_loss=0.4023, center_loss=0.1270, offset_loss=0.1961 2021-04-14 02:51:01 [INFO] [TRAIN] epoch=657, iter=30200/90000, loss=0.7821, lr=0.000035, batch_cost=1.1941, reader_cost=0.24160, ips=6.6997 samples/sec | ETA 19:50:06 2021-04-14 02:51:01 [INFO] [LOSS] loss=0.7821, semantic_loss=0.4496, center_loss=0.1288, offset_loss=0.2037 2021-04-14 02:53:01 [INFO] [TRAIN] epoch=659, iter=30300/90000, loss=0.7928, lr=0.000035, batch_cost=1.2004, reader_cost=0.24906, ips=6.6645 samples/sec | ETA 19:54:23 2021-04-14 02:53:01 [INFO] [LOSS] loss=0.7928, semantic_loss=0.4167, center_loss=0.1339, offset_loss=0.2422 2021-04-14 02:55:02 [INFO] [TRAIN] epoch=661, iter=30400/90000, loss=0.7364, lr=0.000035, batch_cost=1.2017, reader_cost=0.24562, ips=6.6575 samples/sec | ETA 19:53:38 2021-04-14 02:55:02 [INFO] [LOSS] loss=0.7364, semantic_loss=0.4091, center_loss=0.1262, offset_loss=0.2012 2021-04-14 02:57:10 [INFO] [TRAIN] epoch=664, iter=30500/90000, loss=0.7238, lr=0.000034, batch_cost=1.2826, reader_cost=0.33399, ips=6.2374 samples/sec | ETA 21:11:53 2021-04-14 02:57:10 [INFO] [LOSS] loss=0.7238, semantic_loss=0.3882, center_loss=0.1281, offset_loss=0.2075 2021-04-14 02:59:11 [INFO] [TRAIN] epoch=666, iter=30600/90000, loss=0.7137, lr=0.000034, batch_cost=1.2103, reader_cost=0.25215, ips=6.6101 samples/sec | ETA 19:58:09 2021-04-14 02:59:11 [INFO] [LOSS] loss=0.7137, semantic_loss=0.3988, center_loss=0.1308, offset_loss=0.1840 2021-04-14 03:01:12 [INFO] [TRAIN] epoch=668, iter=30700/90000, loss=0.6971, lr=0.000034, batch_cost=1.2036, reader_cost=0.24709, ips=6.6468 samples/sec | ETA 19:49:32 2021-04-14 03:01:12 [INFO] [LOSS] loss=0.6971, semantic_loss=0.4127, center_loss=0.1269, offset_loss=0.1575 2021-04-14 03:03:12 [INFO] [TRAIN] epoch=670, iter=30800/90000, loss=0.6826, lr=0.000034, batch_cost=1.2054, reader_cost=0.24884, ips=6.6367 samples/sec | ETA 19:49:21 2021-04-14 03:03:12 [INFO] [LOSS] loss=0.6826, semantic_loss=0.3797, center_loss=0.1256, offset_loss=0.1772 2021-04-14 03:05:12 [INFO] [TRAIN] epoch=672, iter=30900/90000, loss=0.7004, lr=0.000034, batch_cost=1.1970, reader_cost=0.23427, ips=6.6831 samples/sec | ETA 19:39:05 2021-04-14 03:05:12 [INFO] [LOSS] loss=0.7004, semantic_loss=0.3926, center_loss=0.1255, offset_loss=0.1823 2021-04-14 03:07:11 [INFO] [TRAIN] epoch=674, iter=31000/90000, loss=0.6473, lr=0.000034, batch_cost=1.1869, reader_cost=0.22955, ips=6.7401 samples/sec | ETA 19:27:09 2021-04-14 03:07:11 [INFO] [LOSS] loss=0.6473, semantic_loss=0.3800, center_loss=0.1188, offset_loss=0.1485 2021-04-14 03:09:18 [INFO] [TRAIN] epoch=677, iter=31100/90000, loss=0.7025, lr=0.000034, batch_cost=1.2714, reader_cost=0.31992, ips=6.2924 samples/sec | ETA 20:48:03 2021-04-14 03:09:18 [INFO] [LOSS] loss=0.7025, semantic_loss=0.3891, center_loss=0.1228, offset_loss=0.1906 2021-04-14 03:11:20 [INFO] [TRAIN] epoch=679, iter=31200/90000, loss=0.7266, lr=0.000034, batch_cost=1.2195, reader_cost=0.25977, ips=6.5600 samples/sec | ETA 19:55:07 2021-04-14 03:11:20 [INFO] [LOSS] loss=0.7266, semantic_loss=0.4230, center_loss=0.1355, offset_loss=0.1680 2021-04-14 03:13:20 [INFO] [TRAIN] epoch=681, iter=31300/90000, loss=0.6872, lr=0.000034, batch_cost=1.1991, reader_cost=0.24696, ips=6.6714 samples/sec | ETA 19:33:09 2021-04-14 03:13:20 [INFO] [LOSS] loss=0.6872, semantic_loss=0.3997, center_loss=0.1248, offset_loss=0.1627 2021-04-14 03:15:21 [INFO] [TRAIN] epoch=683, iter=31400/90000, loss=0.6789, lr=0.000034, batch_cost=1.2034, reader_cost=0.23702, ips=6.6479 samples/sec | ETA 19:35:18 2021-04-14 03:15:21 [INFO] [LOSS] loss=0.6789, semantic_loss=0.3888, center_loss=0.1195, offset_loss=0.1707 2021-04-14 03:17:21 [INFO] [TRAIN] epoch=685, iter=31500/90000, loss=0.6930, lr=0.000034, batch_cost=1.1969, reader_cost=0.22547, ips=6.6837 samples/sec | ETA 19:27:00 2021-04-14 03:17:21 [INFO] [LOSS] loss=0.6930, semantic_loss=0.3804, center_loss=0.1211, offset_loss=0.1915 2021-04-14 03:19:20 [INFO] [TRAIN] epoch=687, iter=31600/90000, loss=0.7710, lr=0.000034, batch_cost=1.1914, reader_cost=0.24394, ips=6.7150 samples/sec | ETA 19:19:35 2021-04-14 03:19:20 [INFO] [LOSS] loss=0.7710, semantic_loss=0.3990, center_loss=0.1215, offset_loss=0.2506 2021-04-14 03:21:28 [INFO] [TRAIN] epoch=690, iter=31700/90000, loss=0.7534, lr=0.000034, batch_cost=1.2802, reader_cost=0.31810, ips=6.2488 samples/sec | ETA 20:43:58 2021-04-14 03:21:28 [INFO] [LOSS] loss=0.7534, semantic_loss=0.4110, center_loss=0.1265, offset_loss=0.2160 2021-04-14 03:23:28 [INFO] [TRAIN] epoch=692, iter=31800/90000, loss=0.7162, lr=0.000034, batch_cost=1.2009, reader_cost=0.23508, ips=6.6614 samples/sec | ETA 19:24:55 2021-04-14 03:23:28 [INFO] [LOSS] loss=0.7162, semantic_loss=0.4103, center_loss=0.1289, offset_loss=0.1770 2021-04-14 03:25:28 [INFO] [TRAIN] epoch=694, iter=31900/90000, loss=0.7306, lr=0.000034, batch_cost=1.1911, reader_cost=0.23739, ips=6.7163 samples/sec | ETA 19:13:24 2021-04-14 03:25:28 [INFO] [LOSS] loss=0.7306, semantic_loss=0.3982, center_loss=0.1258, offset_loss=0.2066 2021-04-14 03:27:28 [INFO] [TRAIN] epoch=696, iter=32000/90000, loss=0.7138, lr=0.000034, batch_cost=1.2060, reader_cost=0.23920, ips=6.6335 samples/sec | ETA 19:25:47 2021-04-14 03:27:28 [INFO] [LOSS] loss=0.7138, semantic_loss=0.3887, center_loss=0.1217, offset_loss=0.2034 2021-04-14 03:29:28 [INFO] [TRAIN] epoch=698, iter=32100/90000, loss=0.6538, lr=0.000034, batch_cost=1.1910, reader_cost=0.21726, ips=6.7168 samples/sec | ETA 19:09:21 2021-04-14 03:29:28 [INFO] [LOSS] loss=0.6538, semantic_loss=0.3999, center_loss=0.1223, offset_loss=0.1316 2021-04-14 03:31:27 [INFO] [TRAIN] epoch=700, iter=32200/90000, loss=0.6662, lr=0.000034, batch_cost=1.1878, reader_cost=0.22900, ips=6.7354 samples/sec | ETA 19:04:12 2021-04-14 03:31:27 [INFO] [LOSS] loss=0.6662, semantic_loss=0.4035, center_loss=0.1203, offset_loss=0.1424 2021-04-14 03:33:35 [INFO] [TRAIN] epoch=703, iter=32300/90000, loss=0.6640, lr=0.000034, batch_cost=1.2883, reader_cost=0.31712, ips=6.2099 samples/sec | ETA 20:38:53 2021-04-14 03:33:35 [INFO] [LOSS] loss=0.6640, semantic_loss=0.3887, center_loss=0.1217, offset_loss=0.1536 2021-04-14 03:35:36 [INFO] [TRAIN] epoch=705, iter=32400/90000, loss=0.6972, lr=0.000033, batch_cost=1.1986, reader_cost=0.23429, ips=6.6743 samples/sec | ETA 19:10:40 2021-04-14 03:35:36 [INFO] [LOSS] loss=0.6972, semantic_loss=0.3923, center_loss=0.1265, offset_loss=0.1784 2021-04-14 03:37:35 [INFO] [TRAIN] epoch=707, iter=32500/90000, loss=0.6723, lr=0.000033, batch_cost=1.1936, reader_cost=0.22255, ips=6.7025 samples/sec | ETA 19:03:51 2021-04-14 03:37:35 [INFO] [LOSS] loss=0.6723, semantic_loss=0.3921, center_loss=0.1186, offset_loss=0.1615 2021-04-14 03:39:36 [INFO] [TRAIN] epoch=709, iter=32600/90000, loss=0.6796, lr=0.000033, batch_cost=1.2060, reader_cost=0.24143, ips=6.6338 samples/sec | ETA 19:13:41 2021-04-14 03:39:36 [INFO] [LOSS] loss=0.6796, semantic_loss=0.3967, center_loss=0.1270, offset_loss=0.1559 2021-04-14 03:41:36 [INFO] [TRAIN] epoch=711, iter=32700/90000, loss=0.6575, lr=0.000033, batch_cost=1.2013, reader_cost=0.24057, ips=6.6597 samples/sec | ETA 19:07:11 2021-04-14 03:41:36 [INFO] [LOSS] loss=0.6575, semantic_loss=0.3891, center_loss=0.1080, offset_loss=0.1604 2021-04-14 03:43:44 [INFO] [TRAIN] epoch=714, iter=32800/90000, loss=0.6538, lr=0.000033, batch_cost=1.2753, reader_cost=0.31245, ips=6.2729 samples/sec | ETA 20:15:49 2021-04-14 03:43:44 [INFO] [LOSS] loss=0.6538, semantic_loss=0.3728, center_loss=0.1193, offset_loss=0.1617 2021-04-14 03:45:44 [INFO] [TRAIN] epoch=716, iter=32900/90000, loss=0.6987, lr=0.000033, batch_cost=1.2024, reader_cost=0.24126, ips=6.6536 samples/sec | ETA 19:04:14 2021-04-14 03:45:44 [INFO] [LOSS] loss=0.6987, semantic_loss=0.3952, center_loss=0.1304, offset_loss=0.1732 2021-04-14 03:47:46 [INFO] [TRAIN] epoch=718, iter=33000/90000, loss=0.6606, lr=0.000033, batch_cost=1.2126, reader_cost=0.26193, ips=6.5971 samples/sec | ETA 19:12:01 2021-04-14 03:47:46 [INFO] [LOSS] loss=0.6606, semantic_loss=0.3846, center_loss=0.1187, offset_loss=0.1573 2021-04-14 03:49:45 [INFO] [TRAIN] epoch=720, iter=33100/90000, loss=0.6427, lr=0.000033, batch_cost=1.1967, reader_cost=0.23453, ips=6.6849 samples/sec | ETA 18:54:53 2021-04-14 03:49:45 [INFO] [LOSS] loss=0.6427, semantic_loss=0.3766, center_loss=0.1111, offset_loss=0.1549 2021-04-14 03:51:45 [INFO] [TRAIN] epoch=722, iter=33200/90000, loss=0.6891, lr=0.000033, batch_cost=1.1928, reader_cost=0.23854, ips=6.7067 samples/sec | ETA 18:49:12 2021-04-14 03:51:45 [INFO] [LOSS] loss=0.6891, semantic_loss=0.4037, center_loss=0.1174, offset_loss=0.1681 2021-04-14 03:53:45 [INFO] [TRAIN] epoch=724, iter=33300/90000, loss=0.6570, lr=0.000033, batch_cost=1.1952, reader_cost=0.23797, ips=6.6932 samples/sec | ETA 18:49:30 2021-04-14 03:53:45 [INFO] [LOSS] loss=0.6570, semantic_loss=0.3774, center_loss=0.1178, offset_loss=0.1618 2021-04-14 03:55:52 [INFO] [TRAIN] epoch=727, iter=33400/90000, loss=0.6508, lr=0.000033, batch_cost=1.2784, reader_cost=0.32604, ips=6.2580 samples/sec | ETA 20:05:55 2021-04-14 03:55:52 [INFO] [LOSS] loss=0.6508, semantic_loss=0.3766, center_loss=0.1200, offset_loss=0.1542 2021-04-14 03:57:52 [INFO] [TRAIN] epoch=729, iter=33500/90000, loss=0.6869, lr=0.000033, batch_cost=1.1919, reader_cost=0.22387, ips=6.7120 samples/sec | ETA 18:42:21 2021-04-14 03:57:52 [INFO] [LOSS] loss=0.6869, semantic_loss=0.3823, center_loss=0.1238, offset_loss=0.1808 2021-04-14 03:59:52 [INFO] [TRAIN] epoch=731, iter=33600/90000, loss=0.6835, lr=0.000033, batch_cost=1.2004, reader_cost=0.24503, ips=6.6643 samples/sec | ETA 18:48:24 2021-04-14 03:59:52 [INFO] [LOSS] loss=0.6835, semantic_loss=0.3651, center_loss=0.1206, offset_loss=0.1978 2021-04-14 04:01:54 [INFO] [TRAIN] epoch=733, iter=33700/90000, loss=0.6988, lr=0.000033, batch_cost=1.2119, reader_cost=0.24060, ips=6.6013 samples/sec | ETA 18:57:09 2021-04-14 04:01:54 [INFO] [LOSS] loss=0.6988, semantic_loss=0.3888, center_loss=0.1220, offset_loss=0.1881 2021-04-14 04:03:54 [INFO] [TRAIN] epoch=735, iter=33800/90000, loss=0.6544, lr=0.000033, batch_cost=1.2058, reader_cost=0.23544, ips=6.6346 samples/sec | ETA 18:49:26 2021-04-14 04:03:54 [INFO] [LOSS] loss=0.6544, semantic_loss=0.3674, center_loss=0.1219, offset_loss=0.1652 2021-04-14 04:05:53 [INFO] [TRAIN] epoch=737, iter=33900/90000, loss=0.6022, lr=0.000033, batch_cost=1.1855, reader_cost=0.22874, ips=6.7479 samples/sec | ETA 18:28:29 2021-04-14 04:05:53 [INFO] [LOSS] loss=0.6022, semantic_loss=0.3554, center_loss=0.1046, offset_loss=0.1422 2021-04-14 04:08:02 [INFO] [TRAIN] epoch=740, iter=34000/90000, loss=0.6809, lr=0.000033, batch_cost=1.2872, reader_cost=0.33142, ips=6.2152 samples/sec | ETA 20:01:21 2021-04-14 04:08:02 [INFO] [LOSS] loss=0.6809, semantic_loss=0.3855, center_loss=0.1161, offset_loss=0.1793 2021-04-14 04:10:01 [INFO] [TRAIN] epoch=742, iter=34100/90000, loss=0.7077, lr=0.000033, batch_cost=1.1957, reader_cost=0.23496, ips=6.6905 samples/sec | ETA 18:34:00 2021-04-14 04:10:01 [INFO] [LOSS] loss=0.7077, semantic_loss=0.3911, center_loss=0.1251, offset_loss=0.1915 2021-04-14 04:12:01 [INFO] [TRAIN] epoch=744, iter=34200/90000, loss=0.6904, lr=0.000033, batch_cost=1.1902, reader_cost=0.21573, ips=6.7214 samples/sec | ETA 18:26:54 2021-04-14 04:12:01 [INFO] [LOSS] loss=0.6904, semantic_loss=0.3719, center_loss=0.1207, offset_loss=0.1978 2021-04-14 04:13:59 [INFO] [TRAIN] epoch=746, iter=34300/90000, loss=0.7401, lr=0.000032, batch_cost=1.1874, reader_cost=0.20695, ips=6.7374 samples/sec | ETA 18:22:18 2021-04-14 04:13:59 [INFO] [LOSS] loss=0.7401, semantic_loss=0.4138, center_loss=0.1191, offset_loss=0.2073 2021-04-14 04:15:59 [INFO] [TRAIN] epoch=748, iter=34400/90000, loss=0.6321, lr=0.000032, batch_cost=1.1910, reader_cost=0.21004, ips=6.7170 samples/sec | ETA 18:23:40 2021-04-14 04:15:59 [INFO] [LOSS] loss=0.6321, semantic_loss=0.3652, center_loss=0.1166, offset_loss=0.1503 2021-04-14 04:17:58 [INFO] [TRAIN] epoch=750, iter=34500/90000, loss=0.6215, lr=0.000032, batch_cost=1.1875, reader_cost=0.24082, ips=6.7371 samples/sec | ETA 18:18:24 2021-04-14 04:17:58 [INFO] [LOSS] loss=0.6215, semantic_loss=0.3600, center_loss=0.1159, offset_loss=0.1456 2021-04-14 04:20:06 [INFO] [TRAIN] epoch=753, iter=34600/90000, loss=0.6387, lr=0.000032, batch_cost=1.2805, reader_cost=0.31913, ips=6.2474 samples/sec | ETA 19:42:21 2021-04-14 04:20:06 [INFO] [LOSS] loss=0.6387, semantic_loss=0.3730, center_loss=0.1167, offset_loss=0.1489 2021-04-14 04:22:05 [INFO] [TRAIN] epoch=755, iter=34700/90000, loss=0.7403, lr=0.000032, batch_cost=1.1951, reader_cost=0.22521, ips=6.6942 samples/sec | ETA 18:21:27 2021-04-14 04:22:05 [INFO] [LOSS] loss=0.7403, semantic_loss=0.4299, center_loss=0.1251, offset_loss=0.1853 2021-04-14 04:24:06 [INFO] [TRAIN] epoch=757, iter=34800/90000, loss=0.7171, lr=0.000032, batch_cost=1.2041, reader_cost=0.24043, ips=6.6442 samples/sec | ETA 18:27:43 2021-04-14 04:24:06 [INFO] [LOSS] loss=0.7171, semantic_loss=0.3997, center_loss=0.1271, offset_loss=0.1904 2021-04-14 04:26:05 [INFO] [TRAIN] epoch=759, iter=34900/90000, loss=0.6936, lr=0.000032, batch_cost=1.1895, reader_cost=0.22660, ips=6.7258 samples/sec | ETA 18:12:19 2021-04-14 04:26:05 [INFO] [LOSS] loss=0.6936, semantic_loss=0.3921, center_loss=0.1200, offset_loss=0.1815 2021-04-14 04:28:05 [INFO] [TRAIN] epoch=761, iter=35000/90000, loss=0.6262, lr=0.000032, batch_cost=1.1931, reader_cost=0.22618, ips=6.7055 samples/sec | ETA 18:13:38 2021-04-14 04:28:05 [INFO] [LOSS] loss=0.6262, semantic_loss=0.3641, center_loss=0.1117, offset_loss=0.1504 2021-04-14 04:30:19 [INFO] [TRAIN] epoch=764, iter=35100/90000, loss=0.7201, lr=0.000032, batch_cost=1.2648, reader_cost=0.30248, ips=6.3251 samples/sec | ETA 19:17:18 2021-04-14 04:30:19 [INFO] [LOSS] loss=0.7201, semantic_loss=0.3672, center_loss=0.1202, offset_loss=0.2327 2021-04-14 04:32:20 [INFO] [TRAIN] epoch=766, iter=35200/90000, loss=0.6555, lr=0.000032, batch_cost=1.2007, reader_cost=0.23799, ips=6.6630 samples/sec | ETA 18:16:35 2021-04-14 04:32:20 [INFO] [LOSS] loss=0.6555, semantic_loss=0.3773, center_loss=0.1262, offset_loss=0.1520 2021-04-14 04:34:20 [INFO] [TRAIN] epoch=768, iter=35300/90000, loss=0.6302, lr=0.000032, batch_cost=1.2004, reader_cost=0.21341, ips=6.6645 samples/sec | ETA 18:14:21 2021-04-14 04:34:20 [INFO] [LOSS] loss=0.6302, semantic_loss=0.3771, center_loss=0.1088, offset_loss=0.1442 2021-04-14 04:36:20 [INFO] [TRAIN] epoch=770, iter=35400/90000, loss=0.6538, lr=0.000032, batch_cost=1.1966, reader_cost=0.23890, ips=6.6855 samples/sec | ETA 18:08:55 2021-04-14 04:36:20 [INFO] [LOSS] loss=0.6538, semantic_loss=0.3775, center_loss=0.1168, offset_loss=0.1595 2021-04-14 04:38:20 [INFO] [TRAIN] epoch=772, iter=35500/90000, loss=0.6330, lr=0.000032, batch_cost=1.1989, reader_cost=0.24045, ips=6.6726 samples/sec | ETA 18:09:01 2021-04-14 04:38:20 [INFO] [LOSS] loss=0.6330, semantic_loss=0.3739, center_loss=0.1204, offset_loss=0.1388 2021-04-14 04:40:19 [INFO] [TRAIN] epoch=774, iter=35600/90000, loss=0.6383, lr=0.000032, batch_cost=1.1923, reader_cost=0.23707, ips=6.7096 samples/sec | ETA 18:01:01 2021-04-14 04:40:19 [INFO] [LOSS] loss=0.6383, semantic_loss=0.3532, center_loss=0.1160, offset_loss=0.1691 2021-04-14 04:42:27 [INFO] [TRAIN] epoch=777, iter=35700/90000, loss=0.6615, lr=0.000032, batch_cost=1.2811, reader_cost=0.32901, ips=6.2446 samples/sec | ETA 19:19:24 2021-04-14 04:42:27 [INFO] [LOSS] loss=0.6615, semantic_loss=0.3804, center_loss=0.1137, offset_loss=0.1673 2021-04-14 04:44:29 [INFO] [TRAIN] epoch=779, iter=35800/90000, loss=0.6316, lr=0.000032, batch_cost=1.2163, reader_cost=0.25340, ips=6.5771 samples/sec | ETA 18:18:45 2021-04-14 04:44:29 [INFO] [LOSS] loss=0.6316, semantic_loss=0.3725, center_loss=0.1158, offset_loss=0.1433 2021-04-14 04:46:29 [INFO] [TRAIN] epoch=781, iter=35900/90000, loss=0.6552, lr=0.000032, batch_cost=1.1969, reader_cost=0.23850, ips=6.6839 samples/sec | ETA 17:59:12 2021-04-14 04:46:29 [INFO] [LOSS] loss=0.6552, semantic_loss=0.3851, center_loss=0.1215, offset_loss=0.1486 2021-04-14 04:48:28 [INFO] [TRAIN] epoch=783, iter=36000/90000, loss=0.6545, lr=0.000032, batch_cost=1.1912, reader_cost=0.23010, ips=6.7157 samples/sec | ETA 17:52:06 2021-04-14 04:48:28 [INFO] [LOSS] loss=0.6545, semantic_loss=0.3790, center_loss=0.1181, offset_loss=0.1574 2021-04-14 04:50:28 [INFO] [TRAIN] epoch=785, iter=36100/90000, loss=0.6525, lr=0.000032, batch_cost=1.1976, reader_cost=0.21588, ips=6.6801 samples/sec | ETA 17:55:50 2021-04-14 04:50:28 [INFO] [LOSS] loss=0.6525, semantic_loss=0.3796, center_loss=0.1159, offset_loss=0.1570 2021-04-14 04:52:28 [INFO] [TRAIN] epoch=787, iter=36200/90000, loss=0.6749, lr=0.000031, batch_cost=1.1951, reader_cost=0.24426, ips=6.6939 samples/sec | ETA 17:51:37 2021-04-14 04:52:28 [INFO] [LOSS] loss=0.6749, semantic_loss=0.3565, center_loss=0.1100, offset_loss=0.2084 2021-04-14 04:54:37 [INFO] [TRAIN] epoch=790, iter=36300/90000, loss=0.6661, lr=0.000031, batch_cost=1.2928, reader_cost=0.33298, ips=6.1883 samples/sec | ETA 19:17:01 2021-04-14 04:54:37 [INFO] [LOSS] loss=0.6661, semantic_loss=0.3782, center_loss=0.1246, offset_loss=0.1633 2021-04-14 04:56:37 [INFO] [TRAIN] epoch=792, iter=36400/90000, loss=0.6088, lr=0.000031, batch_cost=1.1967, reader_cost=0.23984, ips=6.6851 samples/sec | ETA 17:49:03 2021-04-14 04:56:37 [INFO] [LOSS] loss=0.6088, semantic_loss=0.3614, center_loss=0.1094, offset_loss=0.1380 2021-04-14 04:58:37 [INFO] [TRAIN] epoch=794, iter=36500/90000, loss=0.6050, lr=0.000031, batch_cost=1.1998, reader_cost=0.23876, ips=6.6676 samples/sec | ETA 17:49:51 2021-04-14 04:58:37 [INFO] [LOSS] loss=0.6050, semantic_loss=0.3555, center_loss=0.1057, offset_loss=0.1438 2021-04-14 05:00:37 [INFO] [TRAIN] epoch=796, iter=36600/90000, loss=0.6502, lr=0.000031, batch_cost=1.1930, reader_cost=0.22998, ips=6.7056 samples/sec | ETA 17:41:48 2021-04-14 05:00:37 [INFO] [LOSS] loss=0.6502, semantic_loss=0.3780, center_loss=0.1179, offset_loss=0.1543 2021-04-14 05:02:38 [INFO] [TRAIN] epoch=798, iter=36700/90000, loss=0.6897, lr=0.000031, batch_cost=1.2153, reader_cost=0.26145, ips=6.5828 samples/sec | ETA 17:59:34 2021-04-14 05:02:38 [INFO] [LOSS] loss=0.6897, semantic_loss=0.3648, center_loss=0.1111, offset_loss=0.2138 2021-04-14 05:04:36 [INFO] [TRAIN] epoch=800, iter=36800/90000, loss=0.6092, lr=0.000031, batch_cost=1.1775, reader_cost=0.20608, ips=6.7942 samples/sec | ETA 17:24:01 2021-04-14 05:04:36 [INFO] [LOSS] loss=0.6092, semantic_loss=0.3732, center_loss=0.1078, offset_loss=0.1282 2021-04-14 05:06:45 [INFO] [TRAIN] epoch=803, iter=36900/90000, loss=0.6140, lr=0.000031, batch_cost=1.2882, reader_cost=0.32790, ips=6.2101 samples/sec | ETA 19:00:04 2021-04-14 05:06:45 [INFO] [LOSS] loss=0.6140, semantic_loss=0.3606, center_loss=0.1099, offset_loss=0.1436 2021-04-14 05:08:45 [INFO] [TRAIN] epoch=805, iter=37000/90000, loss=0.6760, lr=0.000031, batch_cost=1.2012, reader_cost=0.24718, ips=6.6599 samples/sec | ETA 17:41:04 2021-04-14 05:08:45 [INFO] [LOSS] loss=0.6760, semantic_loss=0.3765, center_loss=0.1204, offset_loss=0.1791 2021-04-14 05:10:45 [INFO] [TRAIN] epoch=807, iter=37100/90000, loss=0.6936, lr=0.000031, batch_cost=1.1932, reader_cost=0.22750, ips=6.7044 samples/sec | ETA 17:32:02 2021-04-14 05:10:45 [INFO] [LOSS] loss=0.6936, semantic_loss=0.3588, center_loss=0.1145, offset_loss=0.2202 2021-04-14 05:12:46 [INFO] [TRAIN] epoch=809, iter=37200/90000, loss=0.6300, lr=0.000031, batch_cost=1.2121, reader_cost=0.26212, ips=6.6004 samples/sec | ETA 17:46:36 2021-04-14 05:12:46 [INFO] [LOSS] loss=0.6300, semantic_loss=0.3690, center_loss=0.1110, offset_loss=0.1500 2021-04-14 05:14:46 [INFO] [TRAIN] epoch=811, iter=37300/90000, loss=0.6198, lr=0.000031, batch_cost=1.1955, reader_cost=0.24865, ips=6.6915 samples/sec | ETA 17:30:04 2021-04-14 05:14:46 [INFO] [LOSS] loss=0.6198, semantic_loss=0.3754, center_loss=0.1110, offset_loss=0.1334 2021-04-14 05:16:53 [INFO] [TRAIN] epoch=814, iter=37400/90000, loss=0.6608, lr=0.000031, batch_cost=1.2635, reader_cost=0.31006, ips=6.3317 samples/sec | ETA 18:27:38 2021-04-14 05:16:53 [INFO] [LOSS] loss=0.6608, semantic_loss=0.3683, center_loss=0.1085, offset_loss=0.1840 2021-04-14 05:18:54 [INFO] [TRAIN] epoch=816, iter=37500/90000, loss=0.6460, lr=0.000031, batch_cost=1.2118, reader_cost=0.24582, ips=6.6015 samples/sec | ETA 17:40:21 2021-04-14 05:18:54 [INFO] [LOSS] loss=0.6460, semantic_loss=0.3643, center_loss=0.1193, offset_loss=0.1624 2021-04-14 05:20:55 [INFO] [TRAIN] epoch=818, iter=37600/90000, loss=0.6693, lr=0.000031, batch_cost=1.2051, reader_cost=0.24575, ips=6.6383 samples/sec | ETA 17:32:28 2021-04-14 05:20:55 [INFO] [LOSS] loss=0.6693, semantic_loss=0.3921, center_loss=0.1155, offset_loss=0.1617 2021-04-14 05:22:54 [INFO] [TRAIN] epoch=820, iter=37700/90000, loss=0.6245, lr=0.000031, batch_cost=1.1947, reader_cost=0.24314, ips=6.6963 samples/sec | ETA 17:21:22 2021-04-14 05:22:54 [INFO] [LOSS] loss=0.6245, semantic_loss=0.3664, center_loss=0.1135, offset_loss=0.1447 2021-04-14 05:24:54 [INFO] [TRAIN] epoch=822, iter=37800/90000, loss=0.6367, lr=0.000031, batch_cost=1.1968, reader_cost=0.22097, ips=6.6846 samples/sec | ETA 17:21:11 2021-04-14 05:24:54 [INFO] [LOSS] loss=0.6367, semantic_loss=0.3720, center_loss=0.1085, offset_loss=0.1563 2021-04-14 05:26:53 [INFO] [TRAIN] epoch=824, iter=37900/90000, loss=0.5955, lr=0.000031, batch_cost=1.1930, reader_cost=0.24142, ips=6.7056 samples/sec | ETA 17:15:56 2021-04-14 05:26:53 [INFO] [LOSS] loss=0.5955, semantic_loss=0.3553, center_loss=0.1108, offset_loss=0.1294 2021-04-14 05:29:00 [INFO] [TRAIN] epoch=827, iter=38000/90000, loss=0.6283, lr=0.000031, batch_cost=1.2673, reader_cost=0.28849, ips=6.3128 samples/sec | ETA 18:18:17 2021-04-14 05:29:00 [INFO] [LOSS] loss=0.6283, semantic_loss=0.3616, center_loss=0.1046, offset_loss=0.1621 2021-04-14 05:31:01 [INFO] [TRAIN] epoch=829, iter=38100/90000, loss=0.5957, lr=0.000030, batch_cost=1.2077, reader_cost=0.21921, ips=6.6244 samples/sec | ETA 17:24:37 2021-04-14 05:31:01 [INFO] [LOSS] loss=0.5957, semantic_loss=0.3574, center_loss=0.1096, offset_loss=0.1287 2021-04-14 05:33:01 [INFO] [TRAIN] epoch=831, iter=38200/90000, loss=0.6661, lr=0.000030, batch_cost=1.1963, reader_cost=0.21480, ips=6.6871 samples/sec | ETA 17:12:50 2021-04-14 05:33:01 [INFO] [LOSS] loss=0.6661, semantic_loss=0.3769, center_loss=0.1115, offset_loss=0.1777 2021-04-14 05:35:01 [INFO] [TRAIN] epoch=833, iter=38300/90000, loss=0.6262, lr=0.000030, batch_cost=1.1967, reader_cost=0.24010, ips=6.6849 samples/sec | ETA 17:11:10 2021-04-14 05:35:01 [INFO] [LOSS] loss=0.6262, semantic_loss=0.3798, center_loss=0.1037, offset_loss=0.1427 2021-04-14 05:37:01 [INFO] [TRAIN] epoch=835, iter=38400/90000, loss=0.6054, lr=0.000030, batch_cost=1.1995, reader_cost=0.24653, ips=6.6695 samples/sec | ETA 17:11:33 2021-04-14 05:37:01 [INFO] [LOSS] loss=0.6054, semantic_loss=0.3535, center_loss=0.1105, offset_loss=0.1413 2021-04-14 05:39:00 [INFO] [TRAIN] epoch=837, iter=38500/90000, loss=0.6236, lr=0.000030, batch_cost=1.1909, reader_cost=0.23712, ips=6.7175 samples/sec | ETA 17:02:11 2021-04-14 05:39:00 [INFO] [LOSS] loss=0.6236, semantic_loss=0.3673, center_loss=0.1102, offset_loss=0.1460 2021-04-14 05:41:09 [INFO] [TRAIN] epoch=840, iter=38600/90000, loss=0.6261, lr=0.000030, batch_cost=1.2843, reader_cost=0.31599, ips=6.2290 samples/sec | ETA 18:20:13 2021-04-14 05:41:09 [INFO] [LOSS] loss=0.6261, semantic_loss=0.3684, center_loss=0.1137, offset_loss=0.1439 2021-04-14 05:43:09 [INFO] [TRAIN] epoch=842, iter=38700/90000, loss=0.6268, lr=0.000030, batch_cost=1.2019, reader_cost=0.24801, ips=6.6563 samples/sec | ETA 17:07:35 2021-04-14 05:43:09 [INFO] [LOSS] loss=0.6268, semantic_loss=0.3724, center_loss=0.1132, offset_loss=0.1413 2021-04-14 05:45:11 [INFO] [TRAIN] epoch=844, iter=38800/90000, loss=0.6415, lr=0.000030, batch_cost=1.2206, reader_cost=0.26251, ips=6.5544 samples/sec | ETA 17:21:32 2021-04-14 05:45:11 [INFO] [LOSS] loss=0.6415, semantic_loss=0.3786, center_loss=0.1178, offset_loss=0.1451 2021-04-14 05:47:12 [INFO] [TRAIN] epoch=846, iter=38900/90000, loss=0.6377, lr=0.000030, batch_cost=1.2012, reader_cost=0.24187, ips=6.6597 samples/sec | ETA 17:03:03 2021-04-14 05:47:12 [INFO] [LOSS] loss=0.6377, semantic_loss=0.3718, center_loss=0.1170, offset_loss=0.1489 2021-04-14 05:49:12 [INFO] [TRAIN] epoch=848, iter=39000/90000, loss=0.6035, lr=0.000030, batch_cost=1.1996, reader_cost=0.22368, ips=6.6691 samples/sec | ETA 16:59:37 2021-04-14 05:49:12 [INFO] [LOSS] loss=0.6035, semantic_loss=0.3488, center_loss=0.1063, offset_loss=0.1484 2021-04-14 05:51:11 [INFO] [TRAIN] epoch=850, iter=39100/90000, loss=0.6052, lr=0.000030, batch_cost=1.1879, reader_cost=0.24147, ips=6.7346 samples/sec | ETA 16:47:44 2021-04-14 05:51:11 [INFO] [LOSS] loss=0.6052, semantic_loss=0.3494, center_loss=0.1067, offset_loss=0.1492 2021-04-14 05:53:20 [INFO] [TRAIN] epoch=853, iter=39200/90000, loss=0.6636, lr=0.000030, batch_cost=1.2972, reader_cost=0.34647, ips=6.1673 samples/sec | ETA 18:18:16 2021-04-14 05:53:20 [INFO] [LOSS] loss=0.6636, semantic_loss=0.3754, center_loss=0.1088, offset_loss=0.1794 2021-04-14 05:55:21 [INFO] [TRAIN] epoch=855, iter=39300/90000, loss=0.6493, lr=0.000030, batch_cost=1.2060, reader_cost=0.24901, ips=6.6334 samples/sec | ETA 16:59:05 2021-04-14 05:55:21 [INFO] [LOSS] loss=0.6493, semantic_loss=0.3676, center_loss=0.1199, offset_loss=0.1617 2021-04-14 05:57:21 [INFO] [TRAIN] epoch=857, iter=39400/90000, loss=0.5952, lr=0.000030, batch_cost=1.1998, reader_cost=0.23818, ips=6.6676 samples/sec | ETA 16:51:51 2021-04-14 05:57:21 [INFO] [LOSS] loss=0.5952, semantic_loss=0.3454, center_loss=0.1045, offset_loss=0.1453 2021-04-14 05:59:20 [INFO] [TRAIN] epoch=859, iter=39500/90000, loss=0.6137, lr=0.000030, batch_cost=1.1890, reader_cost=0.22077, ips=6.7282 samples/sec | ETA 16:40:46 2021-04-14 05:59:20 [INFO] [LOSS] loss=0.6137, semantic_loss=0.3706, center_loss=0.1082, offset_loss=0.1348 2021-04-14 06:01:21 [INFO] [TRAIN] epoch=861, iter=39600/90000, loss=0.5984, lr=0.000030, batch_cost=1.2071, reader_cost=0.25465, ips=6.6275 samples/sec | ETA 16:53:57 2021-04-14 06:01:21 [INFO] [LOSS] loss=0.5984, semantic_loss=0.3524, center_loss=0.1084, offset_loss=0.1376 2021-04-14 06:03:28 [INFO] [TRAIN] epoch=864, iter=39700/90000, loss=0.6326, lr=0.000030, batch_cost=1.2618, reader_cost=0.30058, ips=6.3400 samples/sec | ETA 17:37:50 2021-04-14 06:03:28 [INFO] [LOSS] loss=0.6326, semantic_loss=0.3470, center_loss=0.1133, offset_loss=0.1723 2021-04-14 06:05:28 [INFO] [TRAIN] epoch=866, iter=39800/90000, loss=0.6145, lr=0.000030, batch_cost=1.2046, reader_cost=0.22507, ips=6.6414 samples/sec | ETA 16:47:49 2021-04-14 06:05:28 [INFO] [LOSS] loss=0.6145, semantic_loss=0.3607, center_loss=0.1151, offset_loss=0.1387 2021-04-14 06:07:29 [INFO] [TRAIN] epoch=868, iter=39900/90000, loss=0.6240, lr=0.000030, batch_cost=1.2075, reader_cost=0.24898, ips=6.6254 samples/sec | ETA 16:48:14 2021-04-14 06:07:29 [INFO] [LOSS] loss=0.6240, semantic_loss=0.3587, center_loss=0.1121, offset_loss=0.1533 2021-04-14 06:09:28 [INFO] [TRAIN] epoch=870, iter=40000/90000, loss=0.6393, lr=0.000029, batch_cost=1.1923, reader_cost=0.22668, ips=6.7097 samples/sec | ETA 16:33:35 2021-04-14 06:09:28 [INFO] [LOSS] loss=0.6393, semantic_loss=0.3599, center_loss=0.1188, offset_loss=0.1606 2021-04-14 06:11:37 [INFO] [TRAIN] epoch=872, iter=40100/90000, loss=0.6341, lr=0.000029, batch_cost=1.1990, reader_cost=0.24595, ips=6.6724 samples/sec | ETA 16:37:08 2021-04-14 06:11:37 [INFO] [LOSS] loss=0.6341, semantic_loss=0.3636, center_loss=0.1142, offset_loss=0.1563 2021-04-14 06:13:36 [INFO] [TRAIN] epoch=874, iter=40200/90000, loss=0.5902, lr=0.000029, batch_cost=1.1841, reader_cost=0.21688, ips=6.7564 samples/sec | ETA 16:22:46 2021-04-14 06:13:36 [INFO] [LOSS] loss=0.5902, semantic_loss=0.3330, center_loss=0.1051, offset_loss=0.1521 2021-04-14 06:15:43 [INFO] [TRAIN] epoch=877, iter=40300/90000, loss=0.6133, lr=0.000029, batch_cost=1.2687, reader_cost=0.32341, ips=6.3054 samples/sec | ETA 17:30:56 2021-04-14 06:15:43 [INFO] [LOSS] loss=0.6133, semantic_loss=0.3549, center_loss=0.1131, offset_loss=0.1452 2021-04-14 06:17:44 [INFO] [TRAIN] epoch=879, iter=40400/90000, loss=0.6446, lr=0.000029, batch_cost=1.2068, reader_cost=0.24443, ips=6.6293 samples/sec | ETA 16:37:35 2021-04-14 06:17:44 [INFO] [LOSS] loss=0.6446, semantic_loss=0.3731, center_loss=0.1080, offset_loss=0.1636 2021-04-14 06:19:45 [INFO] [TRAIN] epoch=881, iter=40500/90000, loss=0.6496, lr=0.000029, batch_cost=1.2124, reader_cost=0.24348, ips=6.5987 samples/sec | ETA 16:40:11 2021-04-14 06:19:45 [INFO] [LOSS] loss=0.6496, semantic_loss=0.3873, center_loss=0.1055, offset_loss=0.1568 2021-04-14 06:21:44 [INFO] [TRAIN] epoch=883, iter=40600/90000, loss=0.6430, lr=0.000029, batch_cost=1.1887, reader_cost=0.23127, ips=6.7301 samples/sec | ETA 16:18:40 2021-04-14 06:21:44 [INFO] [LOSS] loss=0.6430, semantic_loss=0.3667, center_loss=0.1104, offset_loss=0.1659 2021-04-14 06:23:44 [INFO] [TRAIN] epoch=885, iter=40700/90000, loss=0.6213, lr=0.000029, batch_cost=1.1955, reader_cost=0.22193, ips=6.6916 samples/sec | ETA 16:22:19 2021-04-14 06:23:44 [INFO] [LOSS] loss=0.6213, semantic_loss=0.3627, center_loss=0.1028, offset_loss=0.1558 2021-04-14 06:25:43 [INFO] [TRAIN] epoch=887, iter=40800/90000, loss=0.6863, lr=0.000029, batch_cost=1.1869, reader_cost=0.22888, ips=6.7404 samples/sec | ETA 16:13:14 2021-04-14 06:25:43 [INFO] [LOSS] loss=0.6863, semantic_loss=0.3693, center_loss=0.1110, offset_loss=0.2060 2021-04-14 06:27:50 [INFO] [TRAIN] epoch=890, iter=40900/90000, loss=0.6980, lr=0.000029, batch_cost=1.2759, reader_cost=0.30691, ips=6.2699 samples/sec | ETA 17:24:08 2021-04-14 06:27:50 [INFO] [LOSS] loss=0.6980, semantic_loss=0.3599, center_loss=0.1085, offset_loss=0.2297 2021-04-14 06:29:51 [INFO] [TRAIN] epoch=892, iter=41000/90000, loss=0.6360, lr=0.000029, batch_cost=1.2053, reader_cost=0.24497, ips=6.6372 samples/sec | ETA 16:24:20 2021-04-14 06:29:51 [INFO] [LOSS] loss=0.6360, semantic_loss=0.3604, center_loss=0.1153, offset_loss=0.1603 2021-04-14 06:31:52 [INFO] [TRAIN] epoch=894, iter=41100/90000, loss=0.5987, lr=0.000029, batch_cost=1.2056, reader_cost=0.25308, ips=6.6356 samples/sec | ETA 16:22:34 2021-04-14 06:31:52 [INFO] [LOSS] loss=0.5987, semantic_loss=0.3508, center_loss=0.1088, offset_loss=0.1390 2021-04-14 06:33:51 [INFO] [TRAIN] epoch=896, iter=41200/90000, loss=0.5901, lr=0.000029, batch_cost=1.1906, reader_cost=0.22050, ips=6.7194 samples/sec | ETA 16:08:20 2021-04-14 06:33:51 [INFO] [LOSS] loss=0.5901, semantic_loss=0.3466, center_loss=0.1003, offset_loss=0.1432 2021-04-14 06:35:51 [INFO] [TRAIN] epoch=898, iter=41300/90000, loss=0.5936, lr=0.000029, batch_cost=1.1973, reader_cost=0.24088, ips=6.6815 samples/sec | ETA 16:11:50 2021-04-14 06:35:51 [INFO] [LOSS] loss=0.5936, semantic_loss=0.3514, center_loss=0.1002, offset_loss=0.1420 2021-04-14 06:37:50 [INFO] [TRAIN] epoch=900, iter=41400/90000, loss=0.5902, lr=0.000029, batch_cost=1.1902, reader_cost=0.23800, ips=6.7218 samples/sec | ETA 16:04:01 2021-04-14 06:37:50 [INFO] [LOSS] loss=0.5902, semantic_loss=0.3465, center_loss=0.1169, offset_loss=0.1268 2021-04-14 06:39:58 [INFO] [TRAIN] epoch=903, iter=41500/90000, loss=0.6107, lr=0.000029, batch_cost=1.2766, reader_cost=0.30143, ips=6.2667 samples/sec | ETA 17:11:54 2021-04-14 06:39:58 [INFO] [LOSS] loss=0.6107, semantic_loss=0.3535, center_loss=0.1115, offset_loss=0.1457 2021-04-14 06:41:58 [INFO] [TRAIN] epoch=905, iter=41600/90000, loss=0.6303, lr=0.000029, batch_cost=1.2026, reader_cost=0.23868, ips=6.6523 samples/sec | ETA 16:10:05 2021-04-14 06:41:58 [INFO] [LOSS] loss=0.6303, semantic_loss=0.3658, center_loss=0.1131, offset_loss=0.1514 2021-04-14 06:43:58 [INFO] [TRAIN] epoch=907, iter=41700/90000, loss=0.5818, lr=0.000029, batch_cost=1.1997, reader_cost=0.22669, ips=6.6683 samples/sec | ETA 16:05:45 2021-04-14 06:43:58 [INFO] [LOSS] loss=0.5818, semantic_loss=0.3481, center_loss=0.1111, offset_loss=0.1225 2021-04-14 06:45:59 [INFO] [TRAIN] epoch=909, iter=41800/90000, loss=0.6135, lr=0.000029, batch_cost=1.2045, reader_cost=0.22849, ips=6.6417 samples/sec | ETA 16:07:37 2021-04-14 06:45:59 [INFO] [LOSS] loss=0.6135, semantic_loss=0.3645, center_loss=0.1055, offset_loss=0.1435 2021-04-14 06:47:59 [INFO] [TRAIN] epoch=911, iter=41900/90000, loss=0.5828, lr=0.000028, batch_cost=1.1989, reader_cost=0.24044, ips=6.6725 samples/sec | ETA 16:01:09 2021-04-14 06:47:59 [INFO] [LOSS] loss=0.5828, semantic_loss=0.3370, center_loss=0.1033, offset_loss=0.1425 2021-04-14 06:50:07 [INFO] [TRAIN] epoch=914, iter=42000/90000, loss=0.5785, lr=0.000028, batch_cost=1.2742, reader_cost=0.31906, ips=6.2784 samples/sec | ETA 16:59:21 2021-04-14 06:50:07 [INFO] [LOSS] loss=0.5785, semantic_loss=0.3466, center_loss=0.1070, offset_loss=0.1249 2021-04-14 06:52:07 [INFO] [TRAIN] epoch=916, iter=42100/90000, loss=0.6091, lr=0.000028, batch_cost=1.2006, reader_cost=0.22895, ips=6.6635 samples/sec | ETA 15:58:27 2021-04-14 06:52:07 [INFO] [LOSS] loss=0.6091, semantic_loss=0.3428, center_loss=0.0994, offset_loss=0.1669 2021-04-14 06:54:08 [INFO] [TRAIN] epoch=918, iter=42200/90000, loss=0.5953, lr=0.000028, batch_cost=1.2070, reader_cost=0.25619, ips=6.6280 samples/sec | ETA 16:01:34 2021-04-14 06:54:08 [INFO] [LOSS] loss=0.5953, semantic_loss=0.3499, center_loss=0.1081, offset_loss=0.1373 2021-04-14 06:56:08 [INFO] [TRAIN] epoch=920, iter=42300/90000, loss=0.6240, lr=0.000028, batch_cost=1.2055, reader_cost=0.23576, ips=6.6363 samples/sec | ETA 15:58:21 2021-04-14 06:56:08 [INFO] [LOSS] loss=0.6240, semantic_loss=0.3629, center_loss=0.1111, offset_loss=0.1500 2021-04-14 06:58:09 [INFO] [TRAIN] epoch=922, iter=42400/90000, loss=0.6198, lr=0.000028, batch_cost=1.2094, reader_cost=0.25851, ips=6.6150 samples/sec | ETA 15:59:25 2021-04-14 06:58:09 [INFO] [LOSS] loss=0.6198, semantic_loss=0.3559, center_loss=0.1106, offset_loss=0.1533 2021-04-14 07:00:08 [INFO] [TRAIN] epoch=924, iter=42500/90000, loss=0.6543, lr=0.000028, batch_cost=1.1876, reader_cost=0.22607, ips=6.7362 samples/sec | ETA 15:40:11 2021-04-14 07:00:08 [INFO] [LOSS] loss=0.6543, semantic_loss=0.3448, center_loss=0.1070, offset_loss=0.2024 2021-04-14 07:02:16 [INFO] [TRAIN] epoch=927, iter=42600/90000, loss=0.6245, lr=0.000028, batch_cost=1.2744, reader_cost=0.32373, ips=6.2775 samples/sec | ETA 16:46:45 2021-04-14 07:02:16 [INFO] [LOSS] loss=0.6245, semantic_loss=0.3591, center_loss=0.1036, offset_loss=0.1618 2021-04-14 07:04:16 [INFO] [TRAIN] epoch=929, iter=42700/90000, loss=0.6264, lr=0.000028, batch_cost=1.2023, reader_cost=0.21983, ips=6.6540 samples/sec | ETA 15:47:48 2021-04-14 07:04:16 [INFO] [LOSS] loss=0.6264, semantic_loss=0.3430, center_loss=0.1099, offset_loss=0.1734 2021-04-14 07:06:16 [INFO] [TRAIN] epoch=931, iter=42800/90000, loss=0.6186, lr=0.000028, batch_cost=1.1943, reader_cost=0.23377, ips=6.6984 samples/sec | ETA 15:39:31 2021-04-14 07:06:16 [INFO] [LOSS] loss=0.6186, semantic_loss=0.3593, center_loss=0.1099, offset_loss=0.1494 2021-04-14 07:08:16 [INFO] [TRAIN] epoch=933, iter=42900/90000, loss=0.6078, lr=0.000028, batch_cost=1.1994, reader_cost=0.22812, ips=6.6698 samples/sec | ETA 15:41:33 2021-04-14 07:08:16 [INFO] [LOSS] loss=0.6078, semantic_loss=0.3581, center_loss=0.1040, offset_loss=0.1458 2021-04-14 07:10:15 [INFO] [TRAIN] epoch=935, iter=43000/90000, loss=0.6161, lr=0.000028, batch_cost=1.1874, reader_cost=0.22249, ips=6.7375 samples/sec | ETA 15:30:06 2021-04-14 07:10:15 [INFO] [LOSS] loss=0.6161, semantic_loss=0.3433, center_loss=0.1042, offset_loss=0.1686 2021-04-14 07:12:13 [INFO] [TRAIN] epoch=937, iter=43100/90000, loss=0.6509, lr=0.000028, batch_cost=1.1836, reader_cost=0.22263, ips=6.7592 samples/sec | ETA 15:25:09 2021-04-14 07:12:13 [INFO] [LOSS] loss=0.6509, semantic_loss=0.3361, center_loss=0.1017, offset_loss=0.2132 2021-04-14 07:14:22 [INFO] [TRAIN] epoch=940, iter=43200/90000, loss=0.6022, lr=0.000028, batch_cost=1.2841, reader_cost=0.32694, ips=6.2302 samples/sec | ETA 16:41:33 2021-04-14 07:14:22 [INFO] [LOSS] loss=0.6022, semantic_loss=0.3434, center_loss=0.1079, offset_loss=0.1509 2021-04-14 07:16:22 [INFO] [TRAIN] epoch=942, iter=43300/90000, loss=0.5912, lr=0.000028, batch_cost=1.1998, reader_cost=0.23644, ips=6.6679 samples/sec | ETA 15:33:49 2021-04-14 07:16:22 [INFO] [LOSS] loss=0.5912, semantic_loss=0.3443, center_loss=0.1071, offset_loss=0.1397 2021-04-14 07:18:22 [INFO] [TRAIN] epoch=944, iter=43400/90000, loss=0.6524, lr=0.000028, batch_cost=1.1956, reader_cost=0.23326, ips=6.6911 samples/sec | ETA 15:28:35 2021-04-14 07:18:22 [INFO] [LOSS] loss=0.6524, semantic_loss=0.3477, center_loss=0.1155, offset_loss=0.1892 2021-04-14 07:20:22 [INFO] [TRAIN] epoch=946, iter=43500/90000, loss=0.5874, lr=0.000028, batch_cost=1.2062, reader_cost=0.24619, ips=6.6326 samples/sec | ETA 15:34:47 2021-04-14 07:20:22 [INFO] [LOSS] loss=0.5874, semantic_loss=0.3298, center_loss=0.0957, offset_loss=0.1619 2021-04-14 07:22:22 [INFO] [TRAIN] epoch=948, iter=43600/90000, loss=0.6215, lr=0.000028, batch_cost=1.1922, reader_cost=0.22946, ips=6.7105 samples/sec | ETA 15:21:56 2021-04-14 07:22:22 [INFO] [LOSS] loss=0.6215, semantic_loss=0.3477, center_loss=0.1038, offset_loss=0.1700 2021-04-14 07:24:20 [INFO] [TRAIN] epoch=950, iter=43700/90000, loss=0.5893, lr=0.000027, batch_cost=1.1838, reader_cost=0.21679, ips=6.7581 samples/sec | ETA 15:13:28 2021-04-14 07:24:20 [INFO] [LOSS] loss=0.5893, semantic_loss=0.3428, center_loss=0.1055, offset_loss=0.1410 2021-04-14 07:26:29 [INFO] [TRAIN] epoch=953, iter=43800/90000, loss=0.5423, lr=0.000027, batch_cost=1.2835, reader_cost=0.31981, ips=6.2329 samples/sec | ETA 16:28:18 2021-04-14 07:26:29 [INFO] [LOSS] loss=0.5423, semantic_loss=0.3255, center_loss=0.0968, offset_loss=0.1200 2021-04-14 07:28:29 [INFO] [TRAIN] epoch=955, iter=43900/90000, loss=0.6556, lr=0.000027, batch_cost=1.1964, reader_cost=0.23640, ips=6.6869 samples/sec | ETA 15:19:12 2021-04-14 07:28:29 [INFO] [LOSS] loss=0.6556, semantic_loss=0.3676, center_loss=0.1169, offset_loss=0.1712 2021-04-14 07:30:29 [INFO] [TRAIN] epoch=957, iter=44000/90000, loss=0.6057, lr=0.000027, batch_cost=1.1998, reader_cost=0.21838, ips=6.6680 samples/sec | ETA 15:19:48 2021-04-14 07:30:29 [INFO] [LOSS] loss=0.6057, semantic_loss=0.3463, center_loss=0.1065, offset_loss=0.1529 2021-04-14 07:32:30 [INFO] [TRAIN] epoch=959, iter=44100/90000, loss=0.6030, lr=0.000027, batch_cost=1.2122, reader_cost=0.26253, ips=6.5997 samples/sec | ETA 15:27:19 2021-04-14 07:32:30 [INFO] [LOSS] loss=0.6030, semantic_loss=0.3489, center_loss=0.1094, offset_loss=0.1447 2021-04-14 07:34:31 [INFO] [TRAIN] epoch=961, iter=44200/90000, loss=0.6048, lr=0.000027, batch_cost=1.2120, reader_cost=0.25432, ips=6.6007 samples/sec | ETA 15:25:09 2021-04-14 07:34:31 [INFO] [LOSS] loss=0.6048, semantic_loss=0.3446, center_loss=0.1019, offset_loss=0.1583 2021-04-14 07:36:38 [INFO] [TRAIN] epoch=964, iter=44300/90000, loss=0.5724, lr=0.000027, batch_cost=1.2668, reader_cost=0.30692, ips=6.3150 samples/sec | ETA 16:04:54 2021-04-14 07:36:38 [INFO] [LOSS] loss=0.5724, semantic_loss=0.3366, center_loss=0.0999, offset_loss=0.1358 2021-04-14 07:38:39 [INFO] [TRAIN] epoch=966, iter=44400/90000, loss=0.6163, lr=0.000027, batch_cost=1.2107, reader_cost=0.24213, ips=6.6075 samples/sec | ETA 15:20:10 2021-04-14 07:38:39 [INFO] [LOSS] loss=0.6163, semantic_loss=0.3401, center_loss=0.1070, offset_loss=0.1691 2021-04-14 07:40:40 [INFO] [TRAIN] epoch=968, iter=44500/90000, loss=0.6234, lr=0.000027, batch_cost=1.1990, reader_cost=0.23464, ips=6.6722 samples/sec | ETA 15:09:14 2021-04-14 07:40:40 [INFO] [LOSS] loss=0.6234, semantic_loss=0.3410, center_loss=0.1080, offset_loss=0.1744 2021-04-14 07:42:40 [INFO] [TRAIN] epoch=970, iter=44600/90000, loss=0.5916, lr=0.000027, batch_cost=1.2076, reader_cost=0.23910, ips=6.6249 samples/sec | ETA 15:13:43 2021-04-14 07:42:40 [INFO] [LOSS] loss=0.5916, semantic_loss=0.3317, center_loss=0.1008, offset_loss=0.1590 2021-04-14 07:44:41 [INFO] [TRAIN] epoch=972, iter=44700/90000, loss=0.5859, lr=0.000027, batch_cost=1.2016, reader_cost=0.24036, ips=6.6576 samples/sec | ETA 15:07:14 2021-04-14 07:44:41 [INFO] [LOSS] loss=0.5859, semantic_loss=0.3383, center_loss=0.1000, offset_loss=0.1476 2021-04-14 07:46:40 [INFO] [TRAIN] epoch=974, iter=44800/90000, loss=0.5655, lr=0.000027, batch_cost=1.1922, reader_cost=0.23791, ips=6.7105 samples/sec | ETA 14:58:05 2021-04-14 07:46:40 [INFO] [LOSS] loss=0.5655, semantic_loss=0.3360, center_loss=0.1016, offset_loss=0.1279 2021-04-14 07:48:48 [INFO] [TRAIN] epoch=977, iter=44900/90000, loss=0.5742, lr=0.000027, batch_cost=1.2769, reader_cost=0.32895, ips=6.2651 samples/sec | ETA 15:59:48 2021-04-14 07:48:48 [INFO] [LOSS] loss=0.5742, semantic_loss=0.3297, center_loss=0.1032, offset_loss=0.1413 2021-04-14 07:50:49 [INFO] [TRAIN] epoch=979, iter=45000/90000, loss=0.6497, lr=0.000027, batch_cost=1.2123, reader_cost=0.25158, ips=6.5992 samples/sec | ETA 15:09:12 2021-04-14 07:50:49 [INFO] [LOSS] loss=0.6497, semantic_loss=0.3460, center_loss=0.1062, offset_loss=0.1975 2021-04-14 07:52:56 [INFO] [TRAIN] epoch=981, iter=45100/90000, loss=0.5744, lr=0.000027, batch_cost=1.1791, reader_cost=0.22022, ips=6.7848 samples/sec | ETA 14:42:21 2021-04-14 07:52:56 [INFO] [LOSS] loss=0.5744, semantic_loss=0.3427, center_loss=0.1072, offset_loss=0.1244 2021-04-14 07:54:56 [INFO] [TRAIN] epoch=983, iter=45200/90000, loss=0.5899, lr=0.000027, batch_cost=1.1924, reader_cost=0.23116, ips=6.7089 samples/sec | ETA 14:50:21 2021-04-14 07:54:56 [INFO] [LOSS] loss=0.5899, semantic_loss=0.3379, center_loss=0.1092, offset_loss=0.1427 2021-04-14 07:56:57 [INFO] [TRAIN] epoch=985, iter=45300/90000, loss=0.5804, lr=0.000027, batch_cost=1.2065, reader_cost=0.24858, ips=6.6306 samples/sec | ETA 14:58:52 2021-04-14 07:56:57 [INFO] [LOSS] loss=0.5804, semantic_loss=0.3363, center_loss=0.0994, offset_loss=0.1447 2021-04-14 07:58:56 [INFO] [TRAIN] epoch=987, iter=45400/90000, loss=0.5636, lr=0.000027, batch_cost=1.1932, reader_cost=0.25040, ips=6.7048 samples/sec | ETA 14:46:55 2021-04-14 07:58:56 [INFO] [LOSS] loss=0.5636, semantic_loss=0.3412, center_loss=0.1050, offset_loss=0.1173 2021-04-14 08:01:05 [INFO] [TRAIN] epoch=990, iter=45500/90000, loss=0.6007, lr=0.000027, batch_cost=1.2877, reader_cost=0.32487, ips=6.2126 samples/sec | ETA 15:55:02 2021-04-14 08:01:05 [INFO] [LOSS] loss=0.6007, semantic_loss=0.3392, center_loss=0.1081, offset_loss=0.1534 2021-04-14 08:03:05 [INFO] [TRAIN] epoch=992, iter=45600/90000, loss=0.5745, lr=0.000026, batch_cost=1.1994, reader_cost=0.24014, ips=6.6698 samples/sec | ETA 14:47:34 2021-04-14 08:03:05 [INFO] [LOSS] loss=0.5745, semantic_loss=0.3365, center_loss=0.1077, offset_loss=0.1302 2021-04-14 08:05:06 [INFO] [TRAIN] epoch=994, iter=45700/90000, loss=0.5523, lr=0.000026, batch_cost=1.2066, reader_cost=0.24954, ips=6.6304 samples/sec | ETA 14:50:50 2021-04-14 08:05:06 [INFO] [LOSS] loss=0.5523, semantic_loss=0.3254, center_loss=0.0995, offset_loss=0.1273 2021-04-14 08:07:06 [INFO] [TRAIN] epoch=996, iter=45800/90000, loss=0.6025, lr=0.000026, batch_cost=1.1986, reader_cost=0.23657, ips=6.6746 samples/sec | ETA 14:42:56 2021-04-14 08:07:06 [INFO] [LOSS] loss=0.6025, semantic_loss=0.3320, center_loss=0.1145, offset_loss=0.1560 2021-04-14 08:09:06 [INFO] [TRAIN] epoch=998, iter=45900/90000, loss=0.5544, lr=0.000026, batch_cost=1.1993, reader_cost=0.23294, ips=6.6707 samples/sec | ETA 14:41:28 2021-04-14 08:09:06 [INFO] [LOSS] loss=0.5544, semantic_loss=0.3348, center_loss=0.0970, offset_loss=0.1226 2021-04-14 08:11:05 [INFO] [TRAIN] epoch=1000, iter=46000/90000, loss=0.5851, lr=0.000026, batch_cost=1.1944, reader_cost=0.25446, ips=6.6979 samples/sec | ETA 14:35:53 2021-04-14 08:11:05 [INFO] [LOSS] loss=0.5851, semantic_loss=0.3296, center_loss=0.1004, offset_loss=0.1551 2021-04-14 08:13:14 [INFO] [TRAIN] epoch=1003, iter=46100/90000, loss=0.5757, lr=0.000026, batch_cost=1.2796, reader_cost=0.32231, ips=6.2521 samples/sec | ETA 15:36:12 2021-04-14 08:13:14 [INFO] [LOSS] loss=0.5757, semantic_loss=0.3366, center_loss=0.1084, offset_loss=0.1307 2021-04-14 08:15:15 [INFO] [TRAIN] epoch=1005, iter=46200/90000, loss=0.6171, lr=0.000026, batch_cost=1.2079, reader_cost=0.24000, ips=6.6233 samples/sec | ETA 14:41:43 2021-04-14 08:15:15 [INFO] [LOSS] loss=0.6171, semantic_loss=0.3574, center_loss=0.1067, offset_loss=0.1530 2021-04-14 08:17:14 [INFO] [TRAIN] epoch=1007, iter=46300/90000, loss=0.5407, lr=0.000026, batch_cost=1.1954, reader_cost=0.22779, ips=6.6922 samples/sec | ETA 14:30:39 2021-04-14 08:17:14 [INFO] [LOSS] loss=0.5407, semantic_loss=0.3271, center_loss=0.0898, offset_loss=0.1238 2021-04-14 08:19:15 [INFO] [TRAIN] epoch=1009, iter=46400/90000, loss=0.5558, lr=0.000026, batch_cost=1.2011, reader_cost=0.24184, ips=6.6606 samples/sec | ETA 14:32:47 2021-04-14 08:19:15 [INFO] [LOSS] loss=0.5558, semantic_loss=0.3245, center_loss=0.1026, offset_loss=0.1288 2021-04-14 08:21:16 [INFO] [TRAIN] epoch=1011, iter=46500/90000, loss=0.5662, lr=0.000026, batch_cost=1.2090, reader_cost=0.25739, ips=6.6171 samples/sec | ETA 14:36:31 2021-04-14 08:21:16 [INFO] [LOSS] loss=0.5662, semantic_loss=0.3354, center_loss=0.1017, offset_loss=0.1292 2021-04-14 08:23:22 [INFO] [TRAIN] epoch=1014, iter=46600/90000, loss=0.5693, lr=0.000026, batch_cost=1.2650, reader_cost=0.30074, ips=6.3239 samples/sec | ETA 15:15:02 2021-04-14 08:23:22 [INFO] [LOSS] loss=0.5693, semantic_loss=0.3427, center_loss=0.1004, offset_loss=0.1261 2021-04-14 08:25:23 [INFO] [TRAIN] epoch=1016, iter=46700/90000, loss=0.5865, lr=0.000026, batch_cost=1.2023, reader_cost=0.23781, ips=6.6537 samples/sec | ETA 14:27:41 2021-04-14 08:25:23 [INFO] [LOSS] loss=0.5865, semantic_loss=0.3375, center_loss=0.1065, offset_loss=0.1425 2021-04-14 08:27:23 [INFO] [TRAIN] epoch=1018, iter=46800/90000, loss=0.6284, lr=0.000026, batch_cost=1.2044, reader_cost=0.23973, ips=6.6424 samples/sec | ETA 14:27:09 2021-04-14 08:27:23 [INFO] [LOSS] loss=0.6284, semantic_loss=0.3609, center_loss=0.1115, offset_loss=0.1560 2021-04-14 08:29:23 [INFO] [TRAIN] epoch=1020, iter=46900/90000, loss=0.5701, lr=0.000026, batch_cost=1.1989, reader_cost=0.22293, ips=6.6729 samples/sec | ETA 14:21:11 2021-04-14 08:29:23 [INFO] [LOSS] loss=0.5701, semantic_loss=0.3358, center_loss=0.1043, offset_loss=0.1300 2021-04-14 08:31:24 [INFO] [TRAIN] epoch=1022, iter=47000/90000, loss=0.5739, lr=0.000026, batch_cost=1.2025, reader_cost=0.23555, ips=6.6527 samples/sec | ETA 14:21:48 2021-04-14 08:31:24 [INFO] [LOSS] loss=0.5739, semantic_loss=0.3446, center_loss=0.1006, offset_loss=0.1287 2021-04-14 08:33:23 [INFO] [TRAIN] epoch=1024, iter=47100/90000, loss=0.5618, lr=0.000026, batch_cost=1.1909, reader_cost=0.22549, ips=6.7174 samples/sec | ETA 14:11:31 2021-04-14 08:33:23 [INFO] [LOSS] loss=0.5618, semantic_loss=0.3246, center_loss=0.0946, offset_loss=0.1426 2021-04-14 08:35:31 [INFO] [TRAIN] epoch=1027, iter=47200/90000, loss=0.5471, lr=0.000026, batch_cost=1.2811, reader_cost=0.32658, ips=6.2445 samples/sec | ETA 15:13:52 2021-04-14 08:35:31 [INFO] [LOSS] loss=0.5471, semantic_loss=0.3293, center_loss=0.0952, offset_loss=0.1226 2021-04-14 08:37:32 [INFO] [TRAIN] epoch=1029, iter=47300/90000, loss=0.5420, lr=0.000026, batch_cost=1.2027, reader_cost=0.24286, ips=6.6520 samples/sec | ETA 14:15:53 2021-04-14 08:37:32 [INFO] [LOSS] loss=0.5420, semantic_loss=0.3287, center_loss=0.0965, offset_loss=0.1168 2021-04-14 08:39:32 [INFO] [TRAIN] epoch=1031, iter=47400/90000, loss=0.5708, lr=0.000026, batch_cost=1.1983, reader_cost=0.22248, ips=6.6760 samples/sec | ETA 14:10:48 2021-04-14 08:39:32 [INFO] [LOSS] loss=0.5708, semantic_loss=0.3345, center_loss=0.1003, offset_loss=0.1359 2021-04-14 08:41:31 [INFO] [TRAIN] epoch=1033, iter=47500/90000, loss=0.6278, lr=0.000025, batch_cost=1.1901, reader_cost=0.23499, ips=6.7219 samples/sec | ETA 14:03:00 2021-04-14 08:41:31 [INFO] [LOSS] loss=0.6278, semantic_loss=0.3327, center_loss=0.1030, offset_loss=0.1922 2021-04-14 08:43:31 [INFO] [TRAIN] epoch=1035, iter=47600/90000, loss=0.5798, lr=0.000025, batch_cost=1.2005, reader_cost=0.23363, ips=6.6636 samples/sec | ETA 14:08:23 2021-04-14 08:43:31 [INFO] [LOSS] loss=0.5798, semantic_loss=0.3340, center_loss=0.0972, offset_loss=0.1486 2021-04-14 08:45:32 [INFO] [TRAIN] epoch=1037, iter=47700/90000, loss=0.5558, lr=0.000025, batch_cost=1.2039, reader_cost=0.25474, ips=6.6450 samples/sec | ETA 14:08:45 2021-04-14 08:45:32 [INFO] [LOSS] loss=0.5558, semantic_loss=0.3288, center_loss=0.0958, offset_loss=0.1313 2021-04-14 08:47:41 [INFO] [TRAIN] epoch=1040, iter=47800/90000, loss=0.5700, lr=0.000025, batch_cost=1.2892, reader_cost=0.32919, ips=6.2053 samples/sec | ETA 15:06:44 2021-04-14 08:47:41 [INFO] [LOSS] loss=0.5700, semantic_loss=0.3331, center_loss=0.1014, offset_loss=0.1355 2021-04-14 08:49:42 [INFO] [TRAIN] epoch=1042, iter=47900/90000, loss=0.6115, lr=0.000025, batch_cost=1.2077, reader_cost=0.23924, ips=6.6239 samples/sec | ETA 14:07:26 2021-04-14 08:49:42 [INFO] [LOSS] loss=0.6115, semantic_loss=0.3382, center_loss=0.1125, offset_loss=0.1608 2021-04-14 08:51:42 [INFO] [TRAIN] epoch=1044, iter=48000/90000, loss=0.5698, lr=0.000025, batch_cost=1.2016, reader_cost=0.24081, ips=6.6579 samples/sec | ETA 14:01:06 2021-04-14 08:51:42 [INFO] [LOSS] loss=0.5698, semantic_loss=0.3404, center_loss=0.1033, offset_loss=0.1260 2021-04-14 08:53:42 [INFO] [TRAIN] epoch=1046, iter=48100/90000, loss=0.5808, lr=0.000025, batch_cost=1.1977, reader_cost=0.23795, ips=6.6794 samples/sec | ETA 13:56:23 2021-04-14 08:53:42 [INFO] [LOSS] loss=0.5808, semantic_loss=0.3349, center_loss=0.1003, offset_loss=0.1456 2021-04-14 08:55:43 [INFO] [TRAIN] epoch=1048, iter=48200/90000, loss=0.5618, lr=0.000025, batch_cost=1.2061, reader_cost=0.23245, ips=6.6332 samples/sec | ETA 14:00:13 2021-04-14 08:55:43 [INFO] [LOSS] loss=0.5618, semantic_loss=0.3291, center_loss=0.0962, offset_loss=0.1364 2021-04-14 08:57:42 [INFO] [TRAIN] epoch=1050, iter=48300/90000, loss=0.5782, lr=0.000025, batch_cost=1.1886, reader_cost=0.24492, ips=6.7304 samples/sec | ETA 13:46:06 2021-04-14 08:57:42 [INFO] [LOSS] loss=0.5782, semantic_loss=0.3264, center_loss=0.1047, offset_loss=0.1472 2021-04-14 08:59:50 [INFO] [TRAIN] epoch=1053, iter=48400/90000, loss=0.5588, lr=0.000025, batch_cost=1.2796, reader_cost=0.31133, ips=6.2518 samples/sec | ETA 14:47:13 2021-04-14 08:59:50 [INFO] [LOSS] loss=0.5588, semantic_loss=0.3264, center_loss=0.0975, offset_loss=0.1349 2021-04-14 09:01:52 [INFO] [TRAIN] epoch=1055, iter=48500/90000, loss=0.5734, lr=0.000025, batch_cost=1.2223, reader_cost=0.25289, ips=6.5452 samples/sec | ETA 14:05:24 2021-04-14 09:01:52 [INFO] [LOSS] loss=0.5734, semantic_loss=0.3395, center_loss=0.1021, offset_loss=0.1318 2021-04-14 09:03:52 [INFO] [TRAIN] epoch=1057, iter=48600/90000, loss=0.5342, lr=0.000025, batch_cost=1.1989, reader_cost=0.24248, ips=6.6730 samples/sec | ETA 13:47:12 2021-04-14 09:03:52 [INFO] [LOSS] loss=0.5342, semantic_loss=0.3168, center_loss=0.0984, offset_loss=0.1190 2021-04-14 09:05:52 [INFO] [TRAIN] epoch=1059, iter=48700/90000, loss=0.5825, lr=0.000025, batch_cost=1.2005, reader_cost=0.24561, ips=6.6637 samples/sec | ETA 13:46:22 2021-04-14 09:05:52 [INFO] [LOSS] loss=0.5825, semantic_loss=0.3201, center_loss=0.1029, offset_loss=0.1594 2021-04-14 09:07:53 [INFO] [TRAIN] epoch=1061, iter=48800/90000, loss=0.5825, lr=0.000025, batch_cost=1.2098, reader_cost=0.24545, ips=6.6128 samples/sec | ETA 13:50:42 2021-04-14 09:07:53 [INFO] [LOSS] loss=0.5825, semantic_loss=0.3197, center_loss=0.0942, offset_loss=0.1685 2021-04-14 09:10:01 [INFO] [TRAIN] epoch=1064, iter=48900/90000, loss=0.5367, lr=0.000025, batch_cost=1.2721, reader_cost=0.30719, ips=6.2890 samples/sec | ETA 14:31:22 2021-04-14 09:10:01 [INFO] [LOSS] loss=0.5367, semantic_loss=0.3246, center_loss=0.0905, offset_loss=0.1217 2021-04-14 09:12:03 [INFO] [TRAIN] epoch=1066, iter=49000/90000, loss=0.5857, lr=0.000025, batch_cost=1.2215, reader_cost=0.26871, ips=6.5495 samples/sec | ETA 13:54:39 2021-04-14 09:12:03 [INFO] [LOSS] loss=0.5857, semantic_loss=0.3432, center_loss=0.1044, offset_loss=0.1380 2021-04-14 09:14:04 [INFO] [TRAIN] epoch=1068, iter=49100/90000, loss=0.5979, lr=0.000025, batch_cost=1.2039, reader_cost=0.24746, ips=6.6452 samples/sec | ETA 13:40:38 2021-04-14 09:14:04 [INFO] [LOSS] loss=0.5979, semantic_loss=0.3407, center_loss=0.0999, offset_loss=0.1573 2021-04-14 09:16:04 [INFO] [TRAIN] epoch=1070, iter=49200/90000, loss=0.5514, lr=0.000025, batch_cost=1.2070, reader_cost=0.24013, ips=6.6280 samples/sec | ETA 13:40:45 2021-04-14 09:16:04 [INFO] [LOSS] loss=0.5514, semantic_loss=0.3279, center_loss=0.0993, offset_loss=0.1242 2021-04-14 09:18:05 [INFO] [TRAIN] epoch=1072, iter=49300/90000, loss=0.5549, lr=0.000024, batch_cost=1.2015, reader_cost=0.23703, ips=6.6582 samples/sec | ETA 13:35:01 2021-04-14 09:18:05 [INFO] [LOSS] loss=0.5549, semantic_loss=0.3244, center_loss=0.0969, offset_loss=0.1336 2021-04-14 09:20:04 [INFO] [TRAIN] epoch=1074, iter=49400/90000, loss=0.5734, lr=0.000024, batch_cost=1.1899, reader_cost=0.23261, ips=6.7232 samples/sec | ETA 13:25:10 2021-04-14 09:20:04 [INFO] [LOSS] loss=0.5734, semantic_loss=0.3194, center_loss=0.0969, offset_loss=0.1571 2021-04-14 09:22:12 [INFO] [TRAIN] epoch=1077, iter=49500/90000, loss=0.5841, lr=0.000024, batch_cost=1.2817, reader_cost=0.32302, ips=6.2419 samples/sec | ETA 14:25:07 2021-04-14 09:22:12 [INFO] [LOSS] loss=0.5841, semantic_loss=0.3263, center_loss=0.1053, offset_loss=0.1524 2021-04-14 09:24:12 [INFO] [TRAIN] epoch=1079, iter=49600/90000, loss=0.5736, lr=0.000024, batch_cost=1.2018, reader_cost=0.24562, ips=6.6567 samples/sec | ETA 13:29:12 2021-04-14 09:24:12 [INFO] [LOSS] loss=0.5736, semantic_loss=0.3308, center_loss=0.0983, offset_loss=0.1445 2021-04-14 09:26:13 [INFO] [TRAIN] epoch=1081, iter=49700/90000, loss=0.5732, lr=0.000024, batch_cost=1.2041, reader_cost=0.23473, ips=6.6439 samples/sec | ETA 13:28:45 2021-04-14 09:26:13 [INFO] [LOSS] loss=0.5732, semantic_loss=0.3276, center_loss=0.1005, offset_loss=0.1450 2021-04-14 09:28:13 [INFO] [TRAIN] epoch=1083, iter=49800/90000, loss=0.5552, lr=0.000024, batch_cost=1.2028, reader_cost=0.24099, ips=6.6513 samples/sec | ETA 13:25:51 2021-04-14 09:28:13 [INFO] [LOSS] loss=0.5552, semantic_loss=0.3229, center_loss=0.1016, offset_loss=0.1307 2021-04-14 09:30:14 [INFO] [TRAIN] epoch=1085, iter=49900/90000, loss=0.5403, lr=0.000024, batch_cost=1.2084, reader_cost=0.24006, ips=6.6201 samples/sec | ETA 13:27:38 2021-04-14 09:30:14 [INFO] [LOSS] loss=0.5403, semantic_loss=0.3309, center_loss=0.0870, offset_loss=0.1224 2021-04-14 09:32:13 [INFO] [TRAIN] epoch=1087, iter=50000/90000, loss=0.5423, lr=0.000024, batch_cost=1.1860, reader_cost=0.22176, ips=6.7453 samples/sec | ETA 13:10:40 2021-04-14 09:32:13 [INFO] [LOSS] loss=0.5423, semantic_loss=0.3214, center_loss=0.0927, offset_loss=0.1282 2021-04-14 09:34:29 [INFO] [TRAIN] epoch=1090, iter=50100/90000, loss=0.5524, lr=0.000024, batch_cost=1.2810, reader_cost=0.32577, ips=6.2451 samples/sec | ETA 14:11:52 2021-04-14 09:34:29 [INFO] [LOSS] loss=0.5524, semantic_loss=0.3416, center_loss=0.0988, offset_loss=0.1120 2021-04-14 09:36:30 [INFO] [TRAIN] epoch=1092, iter=50200/90000, loss=0.5726, lr=0.000024, batch_cost=1.2040, reader_cost=0.25094, ips=6.6445 samples/sec | ETA 13:18:39 2021-04-14 09:36:30 [INFO] [LOSS] loss=0.5726, semantic_loss=0.3424, center_loss=0.1031, offset_loss=0.1272 2021-04-14 09:38:30 [INFO] [TRAIN] epoch=1094, iter=50300/90000, loss=0.5556, lr=0.000024, batch_cost=1.1999, reader_cost=0.22812, ips=6.6671 samples/sec | ETA 13:13:56 2021-04-14 09:38:30 [INFO] [LOSS] loss=0.5556, semantic_loss=0.3188, center_loss=0.0978, offset_loss=0.1391 2021-04-14 09:40:30 [INFO] [TRAIN] epoch=1096, iter=50400/90000, loss=0.5772, lr=0.000024, batch_cost=1.1999, reader_cost=0.24065, ips=6.6673 samples/sec | ETA 13:11:55 2021-04-14 09:40:30 [INFO] [LOSS] loss=0.5772, semantic_loss=0.3433, center_loss=0.0961, offset_loss=0.1379 2021-04-14 09:42:30 [INFO] [TRAIN] epoch=1098, iter=50500/90000, loss=0.5781, lr=0.000024, batch_cost=1.2020, reader_cost=0.22984, ips=6.6555 samples/sec | ETA 13:11:19 2021-04-14 09:42:30 [INFO] [LOSS] loss=0.5781, semantic_loss=0.3293, center_loss=0.1052, offset_loss=0.1436 2021-04-14 09:44:29 [INFO] [TRAIN] epoch=1100, iter=50600/90000, loss=0.6111, lr=0.000024, batch_cost=1.1852, reader_cost=0.24028, ips=6.7499 samples/sec | ETA 12:58:16 2021-04-14 09:44:29 [INFO] [LOSS] loss=0.6111, semantic_loss=0.3313, center_loss=0.1000, offset_loss=0.1798 2021-04-14 09:46:38 [INFO] [TRAIN] epoch=1103, iter=50700/90000, loss=0.6187, lr=0.000024, batch_cost=1.2927, reader_cost=0.33859, ips=6.1886 samples/sec | ETA 14:06:43 2021-04-14 09:46:38 [INFO] [LOSS] loss=0.6187, semantic_loss=0.3325, center_loss=0.1047, offset_loss=0.1815 2021-04-14 09:48:39 [INFO] [TRAIN] epoch=1105, iter=50800/90000, loss=0.5790, lr=0.000024, batch_cost=1.1985, reader_cost=0.23769, ips=6.6752 samples/sec | ETA 13:02:59 2021-04-14 09:48:39 [INFO] [LOSS] loss=0.5790, semantic_loss=0.3350, center_loss=0.0997, offset_loss=0.1443 2021-04-14 09:50:39 [INFO] [TRAIN] epoch=1107, iter=50900/90000, loss=0.5667, lr=0.000024, batch_cost=1.2030, reader_cost=0.23179, ips=6.6500 samples/sec | ETA 13:03:57 2021-04-14 09:50:39 [INFO] [LOSS] loss=0.5667, semantic_loss=0.3238, center_loss=0.0991, offset_loss=0.1439 2021-04-14 09:52:38 [INFO] [TRAIN] epoch=1109, iter=51000/90000, loss=0.5490, lr=0.000024, batch_cost=1.1873, reader_cost=0.20651, ips=6.7377 samples/sec | ETA 12:51:46 2021-04-14 09:52:38 [INFO] [LOSS] loss=0.5490, semantic_loss=0.3281, center_loss=0.0969, offset_loss=0.1240 2021-04-14 09:54:39 [INFO] [TRAIN] epoch=1111, iter=51100/90000, loss=0.5249, lr=0.000024, batch_cost=1.2069, reader_cost=0.25735, ips=6.6286 samples/sec | ETA 13:02:28 2021-04-14 09:54:39 [INFO] [LOSS] loss=0.5249, semantic_loss=0.3071, center_loss=0.0891, offset_loss=0.1287 2021-04-14 09:56:47 [INFO] [TRAIN] epoch=1114, iter=51200/90000, loss=0.5420, lr=0.000023, batch_cost=1.2763, reader_cost=0.30163, ips=6.2682 samples/sec | ETA 13:45:20 2021-04-14 09:56:47 [INFO] [LOSS] loss=0.5420, semantic_loss=0.3148, center_loss=0.0944, offset_loss=0.1329 2021-04-14 09:58:49 [INFO] [TRAIN] epoch=1116, iter=51300/90000, loss=0.5624, lr=0.000023, batch_cost=1.2248, reader_cost=0.28216, ips=6.5315 samples/sec | ETA 13:10:00 2021-04-14 09:58:49 [INFO] [LOSS] loss=0.5624, semantic_loss=0.3322, center_loss=0.1005, offset_loss=0.1297 2021-04-14 10:00:48 [INFO] [TRAIN] epoch=1118, iter=51400/90000, loss=0.5499, lr=0.000023, batch_cost=1.1903, reader_cost=0.22568, ips=6.7212 samples/sec | ETA 12:45:44 2021-04-14 10:00:48 [INFO] [LOSS] loss=0.5499, semantic_loss=0.3273, center_loss=0.0974, offset_loss=0.1252 2021-04-14 10:02:48 [INFO] [TRAIN] epoch=1120, iter=51500/90000, loss=0.5528, lr=0.000023, batch_cost=1.1959, reader_cost=0.22934, ips=6.6895 samples/sec | ETA 12:47:22 2021-04-14 10:02:48 [INFO] [LOSS] loss=0.5528, semantic_loss=0.3274, center_loss=0.0974, offset_loss=0.1281 2021-04-14 10:04:48 [INFO] [TRAIN] epoch=1122, iter=51600/90000, loss=0.5366, lr=0.000023, batch_cost=1.2015, reader_cost=0.22191, ips=6.6583 samples/sec | ETA 12:48:58 2021-04-14 10:04:48 [INFO] [LOSS] loss=0.5366, semantic_loss=0.3221, center_loss=0.0916, offset_loss=0.1229 2021-04-14 10:06:47 [INFO] [TRAIN] epoch=1124, iter=51700/90000, loss=0.5571, lr=0.000023, batch_cost=1.1877, reader_cost=0.22874, ips=6.7355 samples/sec | ETA 12:38:10 2021-04-14 10:06:47 [INFO] [LOSS] loss=0.5571, semantic_loss=0.3241, center_loss=0.0930, offset_loss=0.1400 2021-04-14 10:08:54 [INFO] [TRAIN] epoch=1127, iter=51800/90000, loss=0.5490, lr=0.000023, batch_cost=1.2704, reader_cost=0.31501, ips=6.2973 samples/sec | ETA 13:28:48 2021-04-14 10:08:54 [INFO] [LOSS] loss=0.5490, semantic_loss=0.3171, center_loss=0.0978, offset_loss=0.1341 2021-04-14 10:10:55 [INFO] [TRAIN] epoch=1129, iter=51900/90000, loss=0.5740, lr=0.000023, batch_cost=1.2036, reader_cost=0.24933, ips=6.6469 samples/sec | ETA 12:44:15 2021-04-14 10:10:55 [INFO] [LOSS] loss=0.5740, semantic_loss=0.3364, center_loss=0.0977, offset_loss=0.1399 2021-04-14 10:12:55 [INFO] [TRAIN] epoch=1131, iter=52000/90000, loss=0.5322, lr=0.000023, batch_cost=1.2019, reader_cost=0.23741, ips=6.6562 samples/sec | ETA 12:41:11 2021-04-14 10:12:55 [INFO] [LOSS] loss=0.5322, semantic_loss=0.3287, center_loss=0.0978, offset_loss=0.1057 2021-04-14 10:14:55 [INFO] [TRAIN] epoch=1133, iter=52100/90000, loss=0.5430, lr=0.000023, batch_cost=1.1946, reader_cost=0.23841, ips=6.6970 samples/sec | ETA 12:34:33 2021-04-14 10:14:55 [INFO] [LOSS] loss=0.5430, semantic_loss=0.3269, center_loss=0.0989, offset_loss=0.1171 2021-04-14 10:16:55 [INFO] [TRAIN] epoch=1135, iter=52200/90000, loss=0.5491, lr=0.000023, batch_cost=1.1965, reader_cost=0.22990, ips=6.6860 samples/sec | ETA 12:33:48 2021-04-14 10:16:55 [INFO] [LOSS] loss=0.5491, semantic_loss=0.3169, center_loss=0.0970, offset_loss=0.1352 2021-04-14 10:18:54 [INFO] [TRAIN] epoch=1137, iter=52300/90000, loss=0.5218, lr=0.000023, batch_cost=1.1943, reader_cost=0.22499, ips=6.6986 samples/sec | ETA 12:30:24 2021-04-14 10:18:54 [INFO] [LOSS] loss=0.5218, semantic_loss=0.3030, center_loss=0.0893, offset_loss=0.1295 2021-04-14 10:21:03 [INFO] [TRAIN] epoch=1140, iter=52400/90000, loss=0.5296, lr=0.000023, batch_cost=1.2859, reader_cost=0.30508, ips=6.2211 samples/sec | ETA 13:25:51 2021-04-14 10:21:03 [INFO] [LOSS] loss=0.5296, semantic_loss=0.3128, center_loss=0.0928, offset_loss=0.1240 2021-04-14 10:23:03 [INFO] [TRAIN] epoch=1142, iter=52500/90000, loss=0.5607, lr=0.000023, batch_cost=1.2042, reader_cost=0.24991, ips=6.6435 samples/sec | ETA 12:32:36 2021-04-14 10:23:03 [INFO] [LOSS] loss=0.5607, semantic_loss=0.3300, center_loss=0.1042, offset_loss=0.1264 2021-04-14 10:25:04 [INFO] [TRAIN] epoch=1144, iter=52600/90000, loss=0.5491, lr=0.000023, batch_cost=1.2078, reader_cost=0.25262, ips=6.6235 samples/sec | ETA 12:32:52 2021-04-14 10:25:04 [INFO] [LOSS] loss=0.5491, semantic_loss=0.3147, center_loss=0.0950, offset_loss=0.1394 2021-04-14 10:27:04 [INFO] [TRAIN] epoch=1146, iter=52700/90000, loss=0.5609, lr=0.000023, batch_cost=1.1956, reader_cost=0.24228, ips=6.6912 samples/sec | ETA 12:23:15 2021-04-14 10:27:04 [INFO] [LOSS] loss=0.5609, semantic_loss=0.3274, center_loss=0.0974, offset_loss=0.1361 2021-04-14 10:29:04 [INFO] [TRAIN] epoch=1148, iter=52800/90000, loss=0.5641, lr=0.000023, batch_cost=1.1940, reader_cost=0.22212, ips=6.7000 samples/sec | ETA 12:20:17 2021-04-14 10:29:04 [INFO] [LOSS] loss=0.5641, semantic_loss=0.3274, center_loss=0.0976, offset_loss=0.1391 2021-04-14 10:31:02 [INFO] [TRAIN] epoch=1150, iter=52900/90000, loss=0.5309, lr=0.000023, batch_cost=1.1805, reader_cost=0.21963, ips=6.7767 samples/sec | ETA 12:09:57 2021-04-14 10:31:02 [INFO] [LOSS] loss=0.5309, semantic_loss=0.3178, center_loss=0.0915, offset_loss=0.1216 2021-04-14 10:33:11 [INFO] [TRAIN] epoch=1153, iter=53000/90000, loss=0.5652, lr=0.000022, batch_cost=1.2929, reader_cost=0.32659, ips=6.1878 samples/sec | ETA 13:17:16 2021-04-14 10:33:11 [INFO] [LOSS] loss=0.5652, semantic_loss=0.3216, center_loss=0.0978, offset_loss=0.1458 2021-04-14 10:35:12 [INFO] [TRAIN] epoch=1155, iter=53100/90000, loss=0.5584, lr=0.000022, batch_cost=1.2084, reader_cost=0.25434, ips=6.6201 samples/sec | ETA 12:23:11 2021-04-14 10:35:12 [INFO] [LOSS] loss=0.5584, semantic_loss=0.3313, center_loss=0.1020, offset_loss=0.1252 2021-04-14 10:37:13 [INFO] [TRAIN] epoch=1157, iter=53200/90000, loss=0.5442, lr=0.000022, batch_cost=1.2027, reader_cost=0.23115, ips=6.6515 samples/sec | ETA 12:17:40 2021-04-14 10:37:13 [INFO] [LOSS] loss=0.5442, semantic_loss=0.3199, center_loss=0.0982, offset_loss=0.1260 2021-04-14 10:39:13 [INFO] [TRAIN] epoch=1159, iter=53300/90000, loss=0.5295, lr=0.000022, batch_cost=1.1969, reader_cost=0.23798, ips=6.6841 samples/sec | ETA 12:12:05 2021-04-14 10:39:13 [INFO] [LOSS] loss=0.5295, semantic_loss=0.3218, center_loss=0.0898, offset_loss=0.1179 2021-04-14 10:41:12 [INFO] [TRAIN] epoch=1161, iter=53400/90000, loss=0.5604, lr=0.000022, batch_cost=1.1903, reader_cost=0.23000, ips=6.7211 samples/sec | ETA 12:06:04 2021-04-14 10:41:12 [INFO] [LOSS] loss=0.5604, semantic_loss=0.3272, center_loss=0.0993, offset_loss=0.1339 2021-04-14 10:43:19 [INFO] [TRAIN] epoch=1164, iter=53500/90000, loss=0.5312, lr=0.000022, batch_cost=1.2655, reader_cost=0.31720, ips=6.3215 samples/sec | ETA 12:49:51 2021-04-14 10:43:19 [INFO] [LOSS] loss=0.5312, semantic_loss=0.3152, center_loss=0.1005, offset_loss=0.1156 2021-04-14 10:45:19 [INFO] [TRAIN] epoch=1166, iter=53600/90000, loss=0.5748, lr=0.000022, batch_cost=1.1983, reader_cost=0.23440, ips=6.6763 samples/sec | ETA 12:06:57 2021-04-14 10:45:19 [INFO] [LOSS] loss=0.5748, semantic_loss=0.3278, center_loss=0.0974, offset_loss=0.1496 2021-04-14 10:47:19 [INFO] [TRAIN] epoch=1168, iter=53700/90000, loss=0.5402, lr=0.000022, batch_cost=1.2068, reader_cost=0.25693, ips=6.6290 samples/sec | ETA 12:10:07 2021-04-14 10:47:19 [INFO] [LOSS] loss=0.5402, semantic_loss=0.3159, center_loss=0.0930, offset_loss=0.1313 2021-04-14 10:49:19 [INFO] [TRAIN] epoch=1170, iter=53800/90000, loss=0.5219, lr=0.000022, batch_cost=1.1935, reader_cost=0.22978, ips=6.7029 samples/sec | ETA 12:00:05 2021-04-14 10:49:19 [INFO] [LOSS] loss=0.5219, semantic_loss=0.3181, center_loss=0.0931, offset_loss=0.1108 2021-04-14 10:51:19 [INFO] [TRAIN] epoch=1172, iter=53900/90000, loss=0.5662, lr=0.000022, batch_cost=1.2013, reader_cost=0.24310, ips=6.6595 samples/sec | ETA 12:02:46 2021-04-14 10:51:19 [INFO] [LOSS] loss=0.5662, semantic_loss=0.3250, center_loss=0.0922, offset_loss=0.1489 2021-04-14 10:53:18 [INFO] [TRAIN] epoch=1174, iter=54000/90000, loss=0.5417, lr=0.000022, batch_cost=1.1904, reader_cost=0.22736, ips=6.7204 samples/sec | ETA 11:54:14 2021-04-14 10:53:18 [INFO] [LOSS] loss=0.5417, semantic_loss=0.3114, center_loss=0.0913, offset_loss=0.1390 2021-04-14 10:55:26 [INFO] [TRAIN] epoch=1177, iter=54100/90000, loss=0.5434, lr=0.000022, batch_cost=1.2760, reader_cost=0.32112, ips=6.2695 samples/sec | ETA 12:43:28 2021-04-14 10:55:26 [INFO] [LOSS] loss=0.5434, semantic_loss=0.3238, center_loss=0.0969, offset_loss=0.1226 2021-04-14 10:57:26 [INFO] [TRAIN] epoch=1179, iter=54200/90000, loss=0.5636, lr=0.000022, batch_cost=1.2014, reader_cost=0.23490, ips=6.6590 samples/sec | ETA 11:56:49 2021-04-14 10:57:26 [INFO] [LOSS] loss=0.5636, semantic_loss=0.3212, center_loss=0.0949, offset_loss=0.1475 2021-04-14 10:59:27 [INFO] [TRAIN] epoch=1181, iter=54300/90000, loss=0.5021, lr=0.000022, batch_cost=1.2019, reader_cost=0.22729, ips=6.6560 samples/sec | ETA 11:55:08 2021-04-14 10:59:27 [INFO] [LOSS] loss=0.5021, semantic_loss=0.3030, center_loss=0.0874, offset_loss=0.1118 2021-04-14 11:01:27 [INFO] [TRAIN] epoch=1183, iter=54400/90000, loss=0.5421, lr=0.000022, batch_cost=1.1989, reader_cost=0.23037, ips=6.6731 samples/sec | ETA 11:51:19 2021-04-14 11:01:27 [INFO] [LOSS] loss=0.5421, semantic_loss=0.3224, center_loss=0.0942, offset_loss=0.1255 2021-04-14 11:03:28 [INFO] [TRAIN] epoch=1185, iter=54500/90000, loss=0.5339, lr=0.000022, batch_cost=1.2105, reader_cost=0.23939, ips=6.6087 samples/sec | ETA 11:56:13 2021-04-14 11:03:28 [INFO] [LOSS] loss=0.5339, semantic_loss=0.3217, center_loss=0.0980, offset_loss=0.1142 2021-04-14 11:05:27 [INFO] [TRAIN] epoch=1187, iter=54600/90000, loss=0.5027, lr=0.000022, batch_cost=1.1887, reader_cost=0.24123, ips=6.7298 samples/sec | ETA 11:41:21 2021-04-14 11:05:27 [INFO] [LOSS] loss=0.5027, semantic_loss=0.3037, center_loss=0.0874, offset_loss=0.1117 2021-04-14 11:07:35 [INFO] [TRAIN] epoch=1190, iter=54700/90000, loss=0.5338, lr=0.000022, batch_cost=1.2832, reader_cost=0.32160, ips=6.2344 samples/sec | ETA 12:34:57 2021-04-14 11:07:35 [INFO] [LOSS] loss=0.5338, semantic_loss=0.3184, center_loss=0.0991, offset_loss=0.1163 2021-04-14 11:09:36 [INFO] [TRAIN] epoch=1192, iter=54800/90000, loss=0.5337, lr=0.000021, batch_cost=1.2016, reader_cost=0.22782, ips=6.6579 samples/sec | ETA 11:44:55 2021-04-14 11:09:36 [INFO] [LOSS] loss=0.5337, semantic_loss=0.3109, center_loss=0.0980, offset_loss=0.1247 2021-04-14 11:11:36 [INFO] [TRAIN] epoch=1194, iter=54900/90000, loss=0.5247, lr=0.000021, batch_cost=1.2007, reader_cost=0.23931, ips=6.6630 samples/sec | ETA 11:42:22 2021-04-14 11:11:36 [INFO] [LOSS] loss=0.5247, semantic_loss=0.3064, center_loss=0.0916, offset_loss=0.1266 2021-04-14 11:13:37 [INFO] [TRAIN] epoch=1196, iter=55000/90000, loss=0.5454, lr=0.000021, batch_cost=1.2073, reader_cost=0.23737, ips=6.6262 samples/sec | ETA 11:44:16 2021-04-14 11:13:37 [INFO] [LOSS] loss=0.5454, semantic_loss=0.3219, center_loss=0.0921, offset_loss=0.1314 2021-04-14 11:15:44 [INFO] [TRAIN] epoch=1198, iter=55100/90000, loss=0.5414, lr=0.000021, batch_cost=1.1870, reader_cost=0.21707, ips=6.7397 samples/sec | ETA 11:30:26 2021-04-14 11:15:44 [INFO] [LOSS] loss=0.5414, semantic_loss=0.3249, center_loss=0.0913, offset_loss=0.1251 2021-04-14 11:17:43 [INFO] [TRAIN] epoch=1200, iter=55200/90000, loss=0.5736, lr=0.000021, batch_cost=1.1900, reader_cost=0.24493, ips=6.7229 samples/sec | ETA 11:30:10 2021-04-14 11:17:43 [INFO] [LOSS] loss=0.5736, semantic_loss=0.3167, center_loss=0.0973, offset_loss=0.1596 2021-04-14 11:19:52 [INFO] [TRAIN] epoch=1203, iter=55300/90000, loss=0.5326, lr=0.000021, batch_cost=1.2830, reader_cost=0.32033, ips=6.2352 samples/sec | ETA 12:22:01 2021-04-14 11:19:52 [INFO] [LOSS] loss=0.5326, semantic_loss=0.3208, center_loss=0.0913, offset_loss=0.1204 2021-04-14 11:21:53 [INFO] [TRAIN] epoch=1205, iter=55400/90000, loss=0.5385, lr=0.000021, batch_cost=1.2064, reader_cost=0.24880, ips=6.6312 samples/sec | ETA 11:35:42 2021-04-14 11:21:53 [INFO] [LOSS] loss=0.5385, semantic_loss=0.3161, center_loss=0.0950, offset_loss=0.1274 2021-04-14 11:23:54 [INFO] [TRAIN] epoch=1207, iter=55500/90000, loss=0.5822, lr=0.000021, batch_cost=1.2103, reader_cost=0.25973, ips=6.6098 samples/sec | ETA 11:35:56 2021-04-14 11:23:54 [INFO] [LOSS] loss=0.5822, semantic_loss=0.3282, center_loss=0.0997, offset_loss=0.1544 2021-04-14 11:25:53 [INFO] [TRAIN] epoch=1209, iter=55600/90000, loss=0.5769, lr=0.000021, batch_cost=1.1907, reader_cost=0.23096, ips=6.7189 samples/sec | ETA 11:22:39 2021-04-14 11:25:53 [INFO] [LOSS] loss=0.5769, semantic_loss=0.3134, center_loss=0.0897, offset_loss=0.1739 2021-04-14 11:27:54 [INFO] [TRAIN] epoch=1211, iter=55700/90000, loss=0.5117, lr=0.000021, batch_cost=1.2059, reader_cost=0.24294, ips=6.6343 samples/sec | ETA 11:29:20 2021-04-14 11:27:54 [INFO] [LOSS] loss=0.5117, semantic_loss=0.3041, center_loss=0.0847, offset_loss=0.1229 2021-04-14 11:30:02 [INFO] [TRAIN] epoch=1214, iter=55800/90000, loss=0.5297, lr=0.000021, batch_cost=1.2827, reader_cost=0.33618, ips=6.2367 samples/sec | ETA 12:11:09 2021-04-14 11:30:02 [INFO] [LOSS] loss=0.5297, semantic_loss=0.3080, center_loss=0.0886, offset_loss=0.1331 2021-04-14 11:32:03 [INFO] [TRAIN] epoch=1216, iter=55900/90000, loss=0.5172, lr=0.000021, batch_cost=1.2004, reader_cost=0.23538, ips=6.6643 samples/sec | ETA 11:22:14 2021-04-14 11:32:03 [INFO] [LOSS] loss=0.5172, semantic_loss=0.3132, center_loss=0.0895, offset_loss=0.1146 2021-04-14 11:34:03 [INFO] [TRAIN] epoch=1218, iter=56000/90000, loss=0.5607, lr=0.000021, batch_cost=1.1998, reader_cost=0.23721, ips=6.6680 samples/sec | ETA 11:19:52 2021-04-14 11:34:03 [INFO] [LOSS] loss=0.5607, semantic_loss=0.3201, center_loss=0.1040, offset_loss=0.1366 2021-04-14 11:36:03 [INFO] [TRAIN] epoch=1220, iter=56100/90000, loss=0.5328, lr=0.000021, batch_cost=1.1979, reader_cost=0.23775, ips=6.6785 samples/sec | ETA 11:16:47 2021-04-14 11:36:03 [INFO] [LOSS] loss=0.5328, semantic_loss=0.3176, center_loss=0.0953, offset_loss=0.1200 2021-04-14 11:38:04 [INFO] [TRAIN] epoch=1222, iter=56200/90000, loss=0.5153, lr=0.000021, batch_cost=1.2087, reader_cost=0.25098, ips=6.6186 samples/sec | ETA 11:20:54 2021-04-14 11:38:04 [INFO] [LOSS] loss=0.5153, semantic_loss=0.3121, center_loss=0.0892, offset_loss=0.1140 2021-04-14 11:40:02 [INFO] [TRAIN] epoch=1224, iter=56300/90000, loss=0.5407, lr=0.000021, batch_cost=1.1878, reader_cost=0.22107, ips=6.7352 samples/sec | ETA 11:07:08 2021-04-14 11:40:02 [INFO] [LOSS] loss=0.5407, semantic_loss=0.3100, center_loss=0.0902, offset_loss=0.1405 2021-04-14 11:42:09 [INFO] [TRAIN] epoch=1227, iter=56400/90000, loss=0.5763, lr=0.000021, batch_cost=1.2620, reader_cost=0.29792, ips=6.3394 samples/sec | ETA 11:46:41 2021-04-14 11:42:09 [INFO] [LOSS] loss=0.5763, semantic_loss=0.3197, center_loss=0.0982, offset_loss=0.1584 2021-04-14 11:44:11 [INFO] [TRAIN] epoch=1229, iter=56500/90000, loss=0.5510, lr=0.000021, batch_cost=1.2182, reader_cost=0.26420, ips=6.5669 samples/sec | ETA 11:20:10 2021-04-14 11:44:11 [INFO] [LOSS] loss=0.5510, semantic_loss=0.3211, center_loss=0.0939, offset_loss=0.1360 2021-04-14 11:46:11 [INFO] [TRAIN] epoch=1231, iter=56600/90000, loss=0.5500, lr=0.000020, batch_cost=1.2045, reader_cost=0.24275, ips=6.6420 samples/sec | ETA 11:10:28 2021-04-14 11:46:11 [INFO] [LOSS] loss=0.5500, semantic_loss=0.3138, center_loss=0.1011, offset_loss=0.1351 2021-04-14 11:48:10 [INFO] [TRAIN] epoch=1233, iter=56700/90000, loss=0.5189, lr=0.000020, batch_cost=1.1871, reader_cost=0.19515, ips=6.7390 samples/sec | ETA 10:58:51 2021-04-14 11:48:10 [INFO] [LOSS] loss=0.5189, semantic_loss=0.3140, center_loss=0.0897, offset_loss=0.1152 2021-04-14 11:50:10 [INFO] [TRAIN] epoch=1235, iter=56800/90000, loss=0.5251, lr=0.000020, batch_cost=1.1959, reader_cost=0.21143, ips=6.6896 samples/sec | ETA 11:01:43 2021-04-14 11:50:10 [INFO] [LOSS] loss=0.5251, semantic_loss=0.3080, center_loss=0.0906, offset_loss=0.1265 2021-04-14 11:52:08 [INFO] [TRAIN] epoch=1237, iter=56900/90000, loss=0.5353, lr=0.000020, batch_cost=1.1805, reader_cost=0.21576, ips=6.7768 samples/sec | ETA 10:51:14 2021-04-14 11:52:08 [INFO] [LOSS] loss=0.5353, semantic_loss=0.3126, center_loss=0.0932, offset_loss=0.1295 2021-04-14 11:54:17 [INFO] [TRAIN] epoch=1240, iter=57000/90000, loss=0.5520, lr=0.000020, batch_cost=1.2882, reader_cost=0.32573, ips=6.2101 samples/sec | ETA 11:48:31 2021-04-14 11:54:17 [INFO] [LOSS] loss=0.5520, semantic_loss=0.3079, center_loss=0.0913, offset_loss=0.1528 2021-04-14 11:56:17 [INFO] [TRAIN] epoch=1242, iter=57100/90000, loss=0.5234, lr=0.000020, batch_cost=1.1920, reader_cost=0.21260, ips=6.7115 samples/sec | ETA 10:53:36 2021-04-14 11:56:17 [INFO] [LOSS] loss=0.5234, semantic_loss=0.3137, center_loss=0.0909, offset_loss=0.1188 2021-04-14 11:58:16 [INFO] [TRAIN] epoch=1244, iter=57200/90000, loss=0.5136, lr=0.000020, batch_cost=1.1953, reader_cost=0.22196, ips=6.6927 samples/sec | ETA 10:53:26 2021-04-14 11:58:16 [INFO] [LOSS] loss=0.5136, semantic_loss=0.3130, center_loss=0.0892, offset_loss=0.1114 2021-04-14 12:00:16 [INFO] [TRAIN] epoch=1246, iter=57300/90000, loss=0.5559, lr=0.000020, batch_cost=1.1982, reader_cost=0.21620, ips=6.6768 samples/sec | ETA 10:53:00 2021-04-14 12:00:16 [INFO] [LOSS] loss=0.5559, semantic_loss=0.3244, center_loss=0.0919, offset_loss=0.1395 2021-04-14 12:02:16 [INFO] [TRAIN] epoch=1248, iter=57400/90000, loss=0.5177, lr=0.000020, batch_cost=1.1994, reader_cost=0.23197, ips=6.6701 samples/sec | ETA 10:51:40 2021-04-14 12:02:16 [INFO] [LOSS] loss=0.5177, semantic_loss=0.3039, center_loss=0.0924, offset_loss=0.1214 2021-04-14 12:04:15 [INFO] [TRAIN] epoch=1250, iter=57500/90000, loss=0.5079, lr=0.000020, batch_cost=1.1869, reader_cost=0.22917, ips=6.7401 samples/sec | ETA 10:42:55 2021-04-14 12:04:15 [INFO] [LOSS] loss=0.5079, semantic_loss=0.2945, center_loss=0.0914, offset_loss=0.1220 2021-04-14 12:06:23 [INFO] [TRAIN] epoch=1253, iter=57600/90000, loss=0.5567, lr=0.000020, batch_cost=1.2798, reader_cost=0.31991, ips=6.2507 samples/sec | ETA 11:31:07 2021-04-14 12:06:23 [INFO] [LOSS] loss=0.5567, semantic_loss=0.3331, center_loss=0.0985, offset_loss=0.1251 2021-04-14 12:08:24 [INFO] [TRAIN] epoch=1255, iter=57700/90000, loss=0.5221, lr=0.000020, batch_cost=1.2015, reader_cost=0.22561, ips=6.6584 samples/sec | ETA 10:46:47 2021-04-14 12:08:24 [INFO] [LOSS] loss=0.5221, semantic_loss=0.3016, center_loss=0.0986, offset_loss=0.1219 2021-04-14 12:10:23 [INFO] [TRAIN] epoch=1257, iter=57800/90000, loss=0.5307, lr=0.000020, batch_cost=1.1946, reader_cost=0.23283, ips=6.6971 samples/sec | ETA 10:41:04 2021-04-14 12:10:23 [INFO] [LOSS] loss=0.5307, semantic_loss=0.2981, center_loss=0.0893, offset_loss=0.1433 2021-04-14 12:12:23 [INFO] [TRAIN] epoch=1259, iter=57900/90000, loss=0.5661, lr=0.000020, batch_cost=1.2005, reader_cost=0.24208, ips=6.6639 samples/sec | ETA 10:42:16 2021-04-14 12:12:23 [INFO] [LOSS] loss=0.5661, semantic_loss=0.3499, center_loss=0.0913, offset_loss=0.1248 2021-04-14 12:14:24 [INFO] [TRAIN] epoch=1261, iter=58000/90000, loss=0.5564, lr=0.000020, batch_cost=1.2087, reader_cost=0.25353, ips=6.6188 samples/sec | ETA 10:44:37 2021-04-14 12:14:24 [INFO] [LOSS] loss=0.5564, semantic_loss=0.3443, center_loss=0.0946, offset_loss=0.1175 2021-04-14 12:16:32 [INFO] [TRAIN] epoch=1264, iter=58100/90000, loss=0.5183, lr=0.000020, batch_cost=1.2693, reader_cost=0.30065, ips=6.3027 samples/sec | ETA 11:14:50 2021-04-14 12:16:32 [INFO] [LOSS] loss=0.5183, semantic_loss=0.3000, center_loss=0.0853, offset_loss=0.1329 2021-04-14 12:18:33 [INFO] [TRAIN] epoch=1266, iter=58200/90000, loss=0.5010, lr=0.000020, batch_cost=1.2138, reader_cost=0.24542, ips=6.5908 samples/sec | ETA 10:43:19 2021-04-14 12:18:33 [INFO] [LOSS] loss=0.5010, semantic_loss=0.3060, center_loss=0.0891, offset_loss=0.1059 2021-04-14 12:20:34 [INFO] [TRAIN] epoch=1268, iter=58300/90000, loss=0.5498, lr=0.000020, batch_cost=1.2071, reader_cost=0.25459, ips=6.6274 samples/sec | ETA 10:37:45 2021-04-14 12:20:34 [INFO] [LOSS] loss=0.5498, semantic_loss=0.3292, center_loss=0.0912, offset_loss=0.1294 2021-04-14 12:22:34 [INFO] [TRAIN] epoch=1270, iter=58400/90000, loss=0.5187, lr=0.000019, batch_cost=1.1960, reader_cost=0.23626, ips=6.6892 samples/sec | ETA 10:29:52 2021-04-14 12:22:34 [INFO] [LOSS] loss=0.5187, semantic_loss=0.3131, center_loss=0.0914, offset_loss=0.1141 2021-04-14 12:24:34 [INFO] [TRAIN] epoch=1272, iter=58500/90000, loss=0.5425, lr=0.000019, batch_cost=1.2021, reader_cost=0.25090, ips=6.6548 samples/sec | ETA 10:31:07 2021-04-14 12:24:34 [INFO] [LOSS] loss=0.5425, semantic_loss=0.3116, center_loss=0.0936, offset_loss=0.1373 2021-04-14 12:26:34 [INFO] [TRAIN] epoch=1274, iter=58600/90000, loss=0.4995, lr=0.000019, batch_cost=1.1980, reader_cost=0.24218, ips=6.6780 samples/sec | ETA 10:26:56 2021-04-14 12:26:34 [INFO] [LOSS] loss=0.4995, semantic_loss=0.3071, center_loss=0.0855, offset_loss=0.1068 2021-04-14 12:28:42 [INFO] [TRAIN] epoch=1277, iter=58700/90000, loss=0.5110, lr=0.000019, batch_cost=1.2795, reader_cost=0.32969, ips=6.2525 samples/sec | ETA 11:07:27 2021-04-14 12:28:42 [INFO] [LOSS] loss=0.5110, semantic_loss=0.3066, center_loss=0.0904, offset_loss=0.1141 2021-04-14 12:30:43 [INFO] [TRAIN] epoch=1279, iter=58800/90000, loss=0.5006, lr=0.000019, batch_cost=1.2098, reader_cost=0.24660, ips=6.6128 samples/sec | ETA 10:29:04 2021-04-14 12:30:43 [INFO] [LOSS] loss=0.5006, semantic_loss=0.3073, center_loss=0.0905, offset_loss=0.1027 2021-04-14 12:32:43 [INFO] [TRAIN] epoch=1281, iter=58900/90000, loss=0.5403, lr=0.000019, batch_cost=1.1982, reader_cost=0.23863, ips=6.6768 samples/sec | ETA 10:21:03 2021-04-14 12:32:43 [INFO] [LOSS] loss=0.5403, semantic_loss=0.3107, center_loss=0.0951, offset_loss=0.1345 2021-04-14 12:34:43 [INFO] [TRAIN] epoch=1283, iter=59000/90000, loss=0.5261, lr=0.000019, batch_cost=1.1968, reader_cost=0.20808, ips=6.6848 samples/sec | ETA 10:18:19 2021-04-14 12:34:43 [INFO] [LOSS] loss=0.5261, semantic_loss=0.3131, center_loss=0.0918, offset_loss=0.1213 2021-04-14 12:36:42 [INFO] [TRAIN] epoch=1285, iter=59100/90000, loss=0.5466, lr=0.000019, batch_cost=1.1895, reader_cost=0.21872, ips=6.7253 samples/sec | ETA 10:12:36 2021-04-14 12:36:42 [INFO] [LOSS] loss=0.5466, semantic_loss=0.3049, center_loss=0.0942, offset_loss=0.1476 2021-04-14 12:38:41 [INFO] [TRAIN] epoch=1287, iter=59200/90000, loss=0.4890, lr=0.000019, batch_cost=1.1869, reader_cost=0.21717, ips=6.7402 samples/sec | ETA 10:09:16 2021-04-14 12:38:41 [INFO] [LOSS] loss=0.4890, semantic_loss=0.2900, center_loss=0.0872, offset_loss=0.1118 2021-04-14 12:40:49 [INFO] [TRAIN] epoch=1290, iter=59300/90000, loss=0.5050, lr=0.000019, batch_cost=1.2772, reader_cost=0.29152, ips=6.2638 samples/sec | ETA 10:53:29 2021-04-14 12:40:49 [INFO] [LOSS] loss=0.5050, semantic_loss=0.3051, center_loss=0.0945, offset_loss=0.1054 2021-04-14 12:42:48 [INFO] [TRAIN] epoch=1292, iter=59400/90000, loss=0.5245, lr=0.000019, batch_cost=1.1916, reader_cost=0.23567, ips=6.7137 samples/sec | ETA 10:07:42 2021-04-14 12:42:48 [INFO] [LOSS] loss=0.5245, semantic_loss=0.3125, center_loss=0.0921, offset_loss=0.1199 2021-04-14 12:44:47 [INFO] [TRAIN] epoch=1294, iter=59500/90000, loss=0.5622, lr=0.000019, batch_cost=1.1892, reader_cost=0.23323, ips=6.7271 samples/sec | ETA 10:04:31 2021-04-14 12:44:47 [INFO] [LOSS] loss=0.5622, semantic_loss=0.3089, center_loss=0.0967, offset_loss=0.1567 2021-04-14 12:46:47 [INFO] [TRAIN] epoch=1296, iter=59600/90000, loss=0.4927, lr=0.000019, batch_cost=1.1942, reader_cost=0.23149, ips=6.6989 samples/sec | ETA 10:05:04 2021-04-14 12:46:47 [INFO] [LOSS] loss=0.4927, semantic_loss=0.2913, center_loss=0.0815, offset_loss=0.1199 2021-04-14 12:48:48 [INFO] [TRAIN] epoch=1298, iter=59700/90000, loss=0.5169, lr=0.000019, batch_cost=1.2139, reader_cost=0.25475, ips=6.5902 samples/sec | ETA 10:13:01 2021-04-14 12:48:48 [INFO] [LOSS] loss=0.5169, semantic_loss=0.3072, center_loss=0.0921, offset_loss=0.1176 2021-04-14 12:50:46 [INFO] [TRAIN] epoch=1300, iter=59800/90000, loss=0.4951, lr=0.000019, batch_cost=1.1789, reader_cost=0.22907, ips=6.7859 samples/sec | ETA 09:53:23 2021-04-14 12:50:46 [INFO] [LOSS] loss=0.4951, semantic_loss=0.2934, center_loss=0.0867, offset_loss=0.1151 2021-04-14 12:52:55 [INFO] [TRAIN] epoch=1303, iter=59900/90000, loss=0.5314, lr=0.000019, batch_cost=1.2863, reader_cost=0.30813, ips=6.2196 samples/sec | ETA 10:45:16 2021-04-14 12:52:55 [INFO] [LOSS] loss=0.5314, semantic_loss=0.3090, center_loss=0.0960, offset_loss=0.1264 2021-04-14 12:54:56 [INFO] [TRAIN] epoch=1305, iter=60000/90000, loss=0.5266, lr=0.000019, batch_cost=1.2097, reader_cost=0.22228, ips=6.6134 samples/sec | ETA 10:04:49 2021-04-14 12:54:56 [INFO] [LOSS] loss=0.5266, semantic_loss=0.3169, center_loss=0.0935, offset_loss=0.1162 2021-04-14 12:57:04 [INFO] [TRAIN] epoch=1307, iter=60100/90000, loss=0.5244, lr=0.000019, batch_cost=1.1855, reader_cost=0.22890, ips=6.7482 samples/sec | ETA 09:50:46 2021-04-14 12:57:04 [INFO] [LOSS] loss=0.5244, semantic_loss=0.3104, center_loss=0.0909, offset_loss=0.1231 2021-04-14 12:59:04 [INFO] [TRAIN] epoch=1309, iter=60200/90000, loss=0.5086, lr=0.000018, batch_cost=1.1981, reader_cost=0.24167, ips=6.6771 samples/sec | ETA 09:55:04 2021-04-14 12:59:04 [INFO] [LOSS] loss=0.5086, semantic_loss=0.2987, center_loss=0.0990, offset_loss=0.1109 2021-04-14 13:01:03 [INFO] [TRAIN] epoch=1311, iter=60300/90000, loss=0.4922, lr=0.000018, batch_cost=1.1940, reader_cost=0.23250, ips=6.7001 samples/sec | ETA 09:51:02 2021-04-14 13:01:03 [INFO] [LOSS] loss=0.4922, semantic_loss=0.2884, center_loss=0.0848, offset_loss=0.1190 2021-04-14 13:03:10 [INFO] [TRAIN] epoch=1314, iter=60400/90000, loss=0.5003, lr=0.000018, batch_cost=1.2641, reader_cost=0.29083, ips=6.3286 samples/sec | ETA 10:23:37 2021-04-14 13:03:10 [INFO] [LOSS] loss=0.5003, semantic_loss=0.2971, center_loss=0.0879, offset_loss=0.1153 2021-04-14 13:05:11 [INFO] [TRAIN] epoch=1316, iter=60500/90000, loss=0.5130, lr=0.000018, batch_cost=1.2121, reader_cost=0.25272, ips=6.6002 samples/sec | ETA 09:55:56 2021-04-14 13:05:11 [INFO] [LOSS] loss=0.5130, semantic_loss=0.3106, center_loss=0.0890, offset_loss=0.1134 2021-04-14 13:07:12 [INFO] [TRAIN] epoch=1318, iter=60600/90000, loss=0.5323, lr=0.000018, batch_cost=1.2018, reader_cost=0.22753, ips=6.6566 samples/sec | ETA 09:48:53 2021-04-14 13:07:12 [INFO] [LOSS] loss=0.5323, semantic_loss=0.3054, center_loss=0.0948, offset_loss=0.1321 2021-04-14 13:09:12 [INFO] [TRAIN] epoch=1320, iter=60700/90000, loss=0.5079, lr=0.000018, batch_cost=1.1994, reader_cost=0.23872, ips=6.6698 samples/sec | ETA 09:45:43 2021-04-14 13:09:12 [INFO] [LOSS] loss=0.5079, semantic_loss=0.2998, center_loss=0.0920, offset_loss=0.1161 2021-04-14 13:11:11 [INFO] [TRAIN] epoch=1322, iter=60800/90000, loss=0.5165, lr=0.000018, batch_cost=1.1960, reader_cost=0.24610, ips=6.6888 samples/sec | ETA 09:42:04 2021-04-14 13:11:11 [INFO] [LOSS] loss=0.5165, semantic_loss=0.3041, center_loss=0.0909, offset_loss=0.1214 2021-04-14 13:13:12 [INFO] [TRAIN] epoch=1324, iter=60900/90000, loss=0.5382, lr=0.000018, batch_cost=1.2014, reader_cost=0.23587, ips=6.6589 samples/sec | ETA 09:42:40 2021-04-14 13:13:12 [INFO] [LOSS] loss=0.5382, semantic_loss=0.3044, center_loss=0.0940, offset_loss=0.1399 2021-04-14 13:15:19 [INFO] [TRAIN] epoch=1327, iter=61000/90000, loss=0.5154, lr=0.000018, batch_cost=1.2725, reader_cost=0.30295, ips=6.2871 samples/sec | ETA 10:15:01 2021-04-14 13:15:19 [INFO] [LOSS] loss=0.5154, semantic_loss=0.3139, center_loss=0.0905, offset_loss=0.1110 2021-04-14 13:17:19 [INFO] [TRAIN] epoch=1329, iter=61100/90000, loss=0.5125, lr=0.000018, batch_cost=1.1993, reader_cost=0.22637, ips=6.6705 samples/sec | ETA 09:37:40 2021-04-14 13:17:19 [INFO] [LOSS] loss=0.5125, semantic_loss=0.3122, center_loss=0.0908, offset_loss=0.1095 2021-04-14 13:19:20 [INFO] [TRAIN] epoch=1331, iter=61200/90000, loss=0.5280, lr=0.000018, batch_cost=1.2078, reader_cost=0.25098, ips=6.6235 samples/sec | ETA 09:39:45 2021-04-14 13:19:20 [INFO] [LOSS] loss=0.5280, semantic_loss=0.3014, center_loss=0.0881, offset_loss=0.1385 2021-04-14 13:21:19 [INFO] [TRAIN] epoch=1333, iter=61300/90000, loss=0.5198, lr=0.000018, batch_cost=1.1920, reader_cost=0.22760, ips=6.7114 samples/sec | ETA 09:30:10 2021-04-14 13:21:19 [INFO] [LOSS] loss=0.5198, semantic_loss=0.3061, center_loss=0.0920, offset_loss=0.1217 2021-04-14 13:23:18 [INFO] [TRAIN] epoch=1335, iter=61400/90000, loss=0.4978, lr=0.000018, batch_cost=1.1882, reader_cost=0.22765, ips=6.7328 samples/sec | ETA 09:26:22 2021-04-14 13:23:18 [INFO] [LOSS] loss=0.4978, semantic_loss=0.2965, center_loss=0.0869, offset_loss=0.1143 2021-04-14 13:25:17 [INFO] [TRAIN] epoch=1337, iter=61500/90000, loss=0.4884, lr=0.000018, batch_cost=1.1834, reader_cost=0.21266, ips=6.7604 samples/sec | ETA 09:22:05 2021-04-14 13:25:17 [INFO] [LOSS] loss=0.4884, semantic_loss=0.2925, center_loss=0.0855, offset_loss=0.1104 2021-04-14 13:27:26 [INFO] [TRAIN] epoch=1340, iter=61600/90000, loss=0.5101, lr=0.000018, batch_cost=1.2857, reader_cost=0.32690, ips=6.2222 samples/sec | ETA 10:08:34 2021-04-14 13:27:26 [INFO] [LOSS] loss=0.5101, semantic_loss=0.3007, center_loss=0.0892, offset_loss=0.1203 2021-04-14 13:29:25 [INFO] [TRAIN] epoch=1342, iter=61700/90000, loss=0.5272, lr=0.000018, batch_cost=1.1943, reader_cost=0.22603, ips=6.6983 samples/sec | ETA 09:23:19 2021-04-14 13:29:25 [INFO] [LOSS] loss=0.5272, semantic_loss=0.3131, center_loss=0.0871, offset_loss=0.1269 2021-04-14 13:31:24 [INFO] [TRAIN] epoch=1344, iter=61800/90000, loss=0.5059, lr=0.000018, batch_cost=1.1898, reader_cost=0.22019, ips=6.7239 samples/sec | ETA 09:19:11 2021-04-14 13:31:24 [INFO] [LOSS] loss=0.5059, semantic_loss=0.3041, center_loss=0.0861, offset_loss=0.1157 2021-04-14 13:33:25 [INFO] [TRAIN] epoch=1346, iter=61900/90000, loss=0.5364, lr=0.000018, batch_cost=1.2097, reader_cost=0.25944, ips=6.6130 samples/sec | ETA 09:26:33 2021-04-14 13:33:25 [INFO] [LOSS] loss=0.5364, semantic_loss=0.3149, center_loss=0.0943, offset_loss=0.1271 2021-04-14 13:35:25 [INFO] [TRAIN] epoch=1348, iter=62000/90000, loss=0.5021, lr=0.000017, batch_cost=1.1932, reader_cost=0.22705, ips=6.7046 samples/sec | ETA 09:16:49 2021-04-14 13:35:25 [INFO] [LOSS] loss=0.5021, semantic_loss=0.2841, center_loss=0.0832, offset_loss=0.1347 2021-04-14 13:37:23 [INFO] [TRAIN] epoch=1350, iter=62100/90000, loss=0.4948, lr=0.000017, batch_cost=1.1838, reader_cost=0.23082, ips=6.7579 samples/sec | ETA 09:10:28 2021-04-14 13:37:23 [INFO] [LOSS] loss=0.4948, semantic_loss=0.2930, center_loss=0.0840, offset_loss=0.1178 2021-04-14 13:39:32 [INFO] [TRAIN] epoch=1353, iter=62200/90000, loss=0.5048, lr=0.000017, batch_cost=1.2905, reader_cost=0.33693, ips=6.1993 samples/sec | ETA 09:57:55 2021-04-14 13:39:32 [INFO] [LOSS] loss=0.5048, semantic_loss=0.3090, center_loss=0.0869, offset_loss=0.1089 2021-04-14 13:41:32 [INFO] [TRAIN] epoch=1355, iter=62300/90000, loss=0.5159, lr=0.000017, batch_cost=1.1964, reader_cost=0.23739, ips=6.6868 samples/sec | ETA 09:12:19 2021-04-14 13:41:32 [INFO] [LOSS] loss=0.5159, semantic_loss=0.3017, center_loss=0.0877, offset_loss=0.1265 2021-04-14 13:43:33 [INFO] [TRAIN] epoch=1357, iter=62400/90000, loss=0.4910, lr=0.000017, batch_cost=1.2047, reader_cost=0.24746, ips=6.6409 samples/sec | ETA 09:14:08 2021-04-14 13:43:33 [INFO] [LOSS] loss=0.4910, semantic_loss=0.3032, center_loss=0.0868, offset_loss=0.1010 2021-04-14 13:45:32 [INFO] [TRAIN] epoch=1359, iter=62500/90000, loss=0.5258, lr=0.000017, batch_cost=1.1942, reader_cost=0.22557, ips=6.6988 samples/sec | ETA 09:07:21 2021-04-14 13:45:32 [INFO] [LOSS] loss=0.5258, semantic_loss=0.3137, center_loss=0.0915, offset_loss=0.1207 2021-04-14 13:47:32 [INFO] [TRAIN] epoch=1361, iter=62600/90000, loss=0.4699, lr=0.000017, batch_cost=1.1978, reader_cost=0.21696, ips=6.6788 samples/sec | ETA 09:07:00 2021-04-14 13:47:32 [INFO] [LOSS] loss=0.4699, semantic_loss=0.2823, center_loss=0.0822, offset_loss=0.1054 2021-04-14 13:49:41 [INFO] [TRAIN] epoch=1364, iter=62700/90000, loss=0.5258, lr=0.000017, batch_cost=1.2805, reader_cost=0.31955, ips=6.2477 samples/sec | ETA 09:42:36 2021-04-14 13:49:41 [INFO] [LOSS] loss=0.5258, semantic_loss=0.2977, center_loss=0.0868, offset_loss=0.1413 2021-04-14 13:51:41 [INFO] [TRAIN] epoch=1366, iter=62800/90000, loss=0.4845, lr=0.000017, batch_cost=1.2015, reader_cost=0.22898, ips=6.6583 samples/sec | ETA 09:04:41 2021-04-14 13:51:41 [INFO] [LOSS] loss=0.4845, semantic_loss=0.2903, center_loss=0.0848, offset_loss=0.1093 2021-04-14 13:53:42 [INFO] [TRAIN] epoch=1368, iter=62900/90000, loss=0.5246, lr=0.000017, batch_cost=1.2111, reader_cost=0.24909, ips=6.6054 samples/sec | ETA 09:07:01 2021-04-14 13:53:42 [INFO] [LOSS] loss=0.5246, semantic_loss=0.3105, center_loss=0.0952, offset_loss=0.1190 2021-04-14 13:55:42 [INFO] [TRAIN] epoch=1370, iter=63000/90000, loss=0.5133, lr=0.000017, batch_cost=1.1940, reader_cost=0.23540, ips=6.7001 samples/sec | ETA 08:57:18 2021-04-14 13:55:42 [INFO] [LOSS] loss=0.5133, semantic_loss=0.3008, center_loss=0.0851, offset_loss=0.1274 2021-04-14 13:57:42 [INFO] [TRAIN] epoch=1372, iter=63100/90000, loss=0.5362, lr=0.000017, batch_cost=1.2035, reader_cost=0.24237, ips=6.6476 samples/sec | ETA 08:59:32 2021-04-14 13:57:42 [INFO] [LOSS] loss=0.5362, semantic_loss=0.3006, center_loss=0.0948, offset_loss=0.1408 2021-04-14 13:59:41 [INFO] [TRAIN] epoch=1374, iter=63200/90000, loss=0.4861, lr=0.000017, batch_cost=1.1871, reader_cost=0.22568, ips=6.7390 samples/sec | ETA 08:50:14 2021-04-14 13:59:41 [INFO] [LOSS] loss=0.4861, semantic_loss=0.2860, center_loss=0.0807, offset_loss=0.1194 2021-04-14 14:01:48 [INFO] [TRAIN] epoch=1377, iter=63300/90000, loss=0.5189, lr=0.000017, batch_cost=1.2676, reader_cost=0.30870, ips=6.3111 samples/sec | ETA 09:24:05 2021-04-14 14:01:48 [INFO] [LOSS] loss=0.5189, semantic_loss=0.2967, center_loss=0.0843, offset_loss=0.1379 2021-04-14 14:03:49 [INFO] [TRAIN] epoch=1379, iter=63400/90000, loss=0.5070, lr=0.000017, batch_cost=1.2075, reader_cost=0.23677, ips=6.6254 samples/sec | ETA 08:55:18 2021-04-14 14:03:49 [INFO] [LOSS] loss=0.5070, semantic_loss=0.3004, center_loss=0.0853, offset_loss=0.1213 2021-04-14 14:05:49 [INFO] [TRAIN] epoch=1381, iter=63500/90000, loss=0.5160, lr=0.000017, batch_cost=1.1992, reader_cost=0.23862, ips=6.6713 samples/sec | ETA 08:49:37 2021-04-14 14:05:49 [INFO] [LOSS] loss=0.5160, semantic_loss=0.3077, center_loss=0.0851, offset_loss=0.1232 2021-04-14 14:07:50 [INFO] [TRAIN] epoch=1383, iter=63600/90000, loss=0.4973, lr=0.000017, batch_cost=1.2103, reader_cost=0.25948, ips=6.6100 samples/sec | ETA 08:52:31 2021-04-14 14:07:50 [INFO] [LOSS] loss=0.4973, semantic_loss=0.3000, center_loss=0.0842, offset_loss=0.1131 2021-04-14 14:09:51 [INFO] [TRAIN] epoch=1385, iter=63700/90000, loss=0.4993, lr=0.000017, batch_cost=1.2090, reader_cost=0.25760, ips=6.6172 samples/sec | ETA 08:49:56 2021-04-14 14:09:51 [INFO] [LOSS] loss=0.4993, semantic_loss=0.3023, center_loss=0.0869, offset_loss=0.1101 2021-04-14 14:11:50 [INFO] [TRAIN] epoch=1387, iter=63800/90000, loss=0.5200, lr=0.000016, batch_cost=1.1912, reader_cost=0.23114, ips=6.7158 samples/sec | ETA 08:40:09 2021-04-14 14:11:50 [INFO] [LOSS] loss=0.5200, semantic_loss=0.2893, center_loss=0.0824, offset_loss=0.1483 2021-04-14 14:13:59 [INFO] [TRAIN] epoch=1390, iter=63900/90000, loss=0.5250, lr=0.000016, batch_cost=1.2866, reader_cost=0.32921, ips=6.2182 samples/sec | ETA 09:19:39 2021-04-14 14:13:59 [INFO] [LOSS] loss=0.5250, semantic_loss=0.3029, center_loss=0.0919, offset_loss=0.1302 2021-04-14 14:15:58 [INFO] [TRAIN] epoch=1392, iter=64000/90000, loss=0.5053, lr=0.000016, batch_cost=1.1896, reader_cost=0.22612, ips=6.7251 samples/sec | ETA 08:35:29 2021-04-14 14:15:58 [INFO] [LOSS] loss=0.5053, semantic_loss=0.3124, center_loss=0.0864, offset_loss=0.1065 2021-04-14 14:17:58 [INFO] [TRAIN] epoch=1394, iter=64100/90000, loss=0.5074, lr=0.000016, batch_cost=1.1952, reader_cost=0.21579, ips=6.6934 samples/sec | ETA 08:35:55 2021-04-14 14:17:58 [INFO] [LOSS] loss=0.5074, semantic_loss=0.2967, center_loss=0.0825, offset_loss=0.1283 2021-04-14 14:20:00 [INFO] [TRAIN] epoch=1396, iter=64200/90000, loss=0.4905, lr=0.000016, batch_cost=1.2146, reader_cost=0.26414, ips=6.5868 samples/sec | ETA 08:42:15 2021-04-14 14:20:00 [INFO] [LOSS] loss=0.4905, semantic_loss=0.2938, center_loss=0.0838, offset_loss=0.1129 2021-04-14 14:22:00 [INFO] [TRAIN] epoch=1398, iter=64300/90000, loss=0.5054, lr=0.000016, batch_cost=1.1983, reader_cost=0.23169, ips=6.6759 samples/sec | ETA 08:33:17 2021-04-14 14:22:00 [INFO] [LOSS] loss=0.5054, semantic_loss=0.3055, center_loss=0.0822, offset_loss=0.1177 2021-04-14 14:23:58 [INFO] [TRAIN] epoch=1400, iter=64400/90000, loss=0.4836, lr=0.000016, batch_cost=1.1789, reader_cost=0.22314, ips=6.7860 samples/sec | ETA 08:22:59 2021-04-14 14:23:58 [INFO] [LOSS] loss=0.4836, semantic_loss=0.2874, center_loss=0.0796, offset_loss=0.1166 2021-04-14 14:26:06 [INFO] [TRAIN] epoch=1403, iter=64500/90000, loss=0.5677, lr=0.000016, batch_cost=1.2855, reader_cost=0.31720, ips=6.2231 samples/sec | ETA 09:06:20 2021-04-14 14:26:06 [INFO] [LOSS] loss=0.5677, semantic_loss=0.3052, center_loss=0.0927, offset_loss=0.1698 2021-04-14 14:28:05 [INFO] [TRAIN] epoch=1405, iter=64600/90000, loss=0.5155, lr=0.000016, batch_cost=1.1876, reader_cost=0.22661, ips=6.7360 samples/sec | ETA 08:22:46 2021-04-14 14:28:05 [INFO] [LOSS] loss=0.5155, semantic_loss=0.3012, center_loss=0.0869, offset_loss=0.1274 2021-04-14 14:30:06 [INFO] [TRAIN] epoch=1407, iter=64700/90000, loss=0.4991, lr=0.000016, batch_cost=1.2102, reader_cost=0.25126, ips=6.6103 samples/sec | ETA 08:30:18 2021-04-14 14:30:06 [INFO] [LOSS] loss=0.4991, semantic_loss=0.3016, center_loss=0.0871, offset_loss=0.1105 2021-04-14 14:32:06 [INFO] [TRAIN] epoch=1409, iter=64800/90000, loss=0.5140, lr=0.000016, batch_cost=1.1891, reader_cost=0.22537, ips=6.7278 samples/sec | ETA 08:19:25 2021-04-14 14:32:06 [INFO] [LOSS] loss=0.5140, semantic_loss=0.3041, center_loss=0.0919, offset_loss=0.1180 2021-04-14 14:34:05 [INFO] [TRAIN] epoch=1411, iter=64900/90000, loss=0.5166, lr=0.000016, batch_cost=1.1955, reader_cost=0.21703, ips=6.6919 samples/sec | ETA 08:20:06 2021-04-14 14:34:05 [INFO] [LOSS] loss=0.5166, semantic_loss=0.3013, center_loss=0.0939, offset_loss=0.1215 2021-04-14 14:36:12 [INFO] [TRAIN] epoch=1414, iter=65000/90000, loss=0.4783, lr=0.000016, batch_cost=1.2708, reader_cost=0.31947, ips=6.2952 samples/sec | ETA 08:49:30 2021-04-14 14:36:12 [INFO] [LOSS] loss=0.4783, semantic_loss=0.2940, center_loss=0.0853, offset_loss=0.0990 2021-04-14 14:38:20 [INFO] [TRAIN] epoch=1416, iter=65100/90000, loss=0.4855, lr=0.000016, batch_cost=1.1784, reader_cost=0.21603, ips=6.7888 samples/sec | ETA 08:09:02 2021-04-14 14:38:20 [INFO] [LOSS] loss=0.4855, semantic_loss=0.2920, center_loss=0.0864, offset_loss=0.1071 2021-04-14 14:40:20 [INFO] [TRAIN] epoch=1418, iter=65200/90000, loss=0.4904, lr=0.000016, batch_cost=1.2024, reader_cost=0.22058, ips=6.6535 samples/sec | ETA 08:16:59 2021-04-14 14:40:20 [INFO] [LOSS] loss=0.4904, semantic_loss=0.2948, center_loss=0.0809, offset_loss=0.1146 2021-04-14 14:42:21 [INFO] [TRAIN] epoch=1420, iter=65300/90000, loss=0.4962, lr=0.000016, batch_cost=1.2094, reader_cost=0.25568, ips=6.6149 samples/sec | ETA 08:17:52 2021-04-14 14:42:21 [INFO] [LOSS] loss=0.4962, semantic_loss=0.2963, center_loss=0.0876, offset_loss=0.1123 2021-04-14 14:44:23 [INFO] [TRAIN] epoch=1422, iter=65400/90000, loss=0.5031, lr=0.000016, batch_cost=1.2178, reader_cost=0.25845, ips=6.5693 samples/sec | ETA 08:19:17 2021-04-14 14:44:23 [INFO] [LOSS] loss=0.5031, semantic_loss=0.2923, center_loss=0.0838, offset_loss=0.1270 2021-04-14 14:46:23 [INFO] [TRAIN] epoch=1424, iter=65500/90000, loss=0.4938, lr=0.000016, batch_cost=1.1936, reader_cost=0.22362, ips=6.7026 samples/sec | ETA 08:07:22 2021-04-14 14:46:23 [INFO] [LOSS] loss=0.4938, semantic_loss=0.2889, center_loss=0.0858, offset_loss=0.1192 2021-04-14 14:48:30 [INFO] [TRAIN] epoch=1427, iter=65600/90000, loss=0.4822, lr=0.000015, batch_cost=1.2730, reader_cost=0.30223, ips=6.2842 samples/sec | ETA 08:37:41 2021-04-14 14:48:30 [INFO] [LOSS] loss=0.4822, semantic_loss=0.2953, center_loss=0.0815, offset_loss=0.1053 2021-04-14 14:50:30 [INFO] [TRAIN] epoch=1429, iter=65700/90000, loss=0.4904, lr=0.000015, batch_cost=1.1996, reader_cost=0.22283, ips=6.6688 samples/sec | ETA 08:05:50 2021-04-14 14:50:30 [INFO] [LOSS] loss=0.4904, semantic_loss=0.2948, center_loss=0.0858, offset_loss=0.1099 2021-04-14 14:52:30 [INFO] [TRAIN] epoch=1431, iter=65800/90000, loss=0.5064, lr=0.000015, batch_cost=1.1947, reader_cost=0.22039, ips=6.6962 samples/sec | ETA 08:01:52 2021-04-14 14:52:30 [INFO] [LOSS] loss=0.5064, semantic_loss=0.2990, center_loss=0.0852, offset_loss=0.1222 2021-04-14 14:54:29 [INFO] [TRAIN] epoch=1433, iter=65900/90000, loss=0.5000, lr=0.000015, batch_cost=1.1934, reader_cost=0.22691, ips=6.7034 samples/sec | ETA 07:59:21 2021-04-14 14:54:29 [INFO] [LOSS] loss=0.5000, semantic_loss=0.2934, center_loss=0.0870, offset_loss=0.1197 2021-04-14 14:56:30 [INFO] [TRAIN] epoch=1435, iter=66000/90000, loss=0.5390, lr=0.000015, batch_cost=1.2003, reader_cost=0.24362, ips=6.6653 samples/sec | ETA 08:00:06 2021-04-14 14:56:30 [INFO] [LOSS] loss=0.5390, semantic_loss=0.3074, center_loss=0.0897, offset_loss=0.1419 2021-04-14 14:58:28 [INFO] [TRAIN] epoch=1437, iter=66100/90000, loss=0.4852, lr=0.000015, batch_cost=1.1867, reader_cost=0.23518, ips=6.7412 samples/sec | ETA 07:52:42 2021-04-14 14:58:28 [INFO] [LOSS] loss=0.4852, semantic_loss=0.2843, center_loss=0.0821, offset_loss=0.1189 2021-04-14 15:00:37 [INFO] [TRAIN] epoch=1440, iter=66200/90000, loss=0.5302, lr=0.000015, batch_cost=1.2841, reader_cost=0.31584, ips=6.2301 samples/sec | ETA 08:29:21 2021-04-14 15:00:37 [INFO] [LOSS] loss=0.5302, semantic_loss=0.2989, center_loss=0.0920, offset_loss=0.1393 2021-04-14 15:02:37 [INFO] [TRAIN] epoch=1442, iter=66300/90000, loss=0.4828, lr=0.000015, batch_cost=1.1971, reader_cost=0.24215, ips=6.6827 samples/sec | ETA 07:52:51 2021-04-14 15:02:37 [INFO] [LOSS] loss=0.4828, semantic_loss=0.2916, center_loss=0.0889, offset_loss=0.1023 2021-04-14 15:04:36 [INFO] [TRAIN] epoch=1444, iter=66400/90000, loss=0.4769, lr=0.000015, batch_cost=1.1925, reader_cost=0.23246, ips=6.7087 samples/sec | ETA 07:49:02 2021-04-14 15:04:36 [INFO] [LOSS] loss=0.4769, semantic_loss=0.2921, center_loss=0.0842, offset_loss=0.1005 2021-04-14 15:06:36 [INFO] [TRAIN] epoch=1446, iter=66500/90000, loss=0.5066, lr=0.000015, batch_cost=1.2011, reader_cost=0.23202, ips=6.6606 samples/sec | ETA 07:50:25 2021-04-14 15:06:36 [INFO] [LOSS] loss=0.5066, semantic_loss=0.2997, center_loss=0.0919, offset_loss=0.1150 2021-04-14 15:08:37 [INFO] [TRAIN] epoch=1448, iter=66600/90000, loss=0.4977, lr=0.000015, batch_cost=1.2033, reader_cost=0.23827, ips=6.6484 samples/sec | ETA 07:49:16 2021-04-14 15:08:37 [INFO] [LOSS] loss=0.4977, semantic_loss=0.2861, center_loss=0.0883, offset_loss=0.1233 2021-04-14 15:10:36 [INFO] [TRAIN] epoch=1450, iter=66700/90000, loss=0.4928, lr=0.000015, batch_cost=1.1845, reader_cost=0.21180, ips=6.7537 samples/sec | ETA 07:39:59 2021-04-14 15:10:36 [INFO] [LOSS] loss=0.4928, semantic_loss=0.2928, center_loss=0.0867, offset_loss=0.1133 2021-04-14 15:12:44 [INFO] [TRAIN] epoch=1453, iter=66800/90000, loss=0.4947, lr=0.000015, batch_cost=1.2823, reader_cost=0.32343, ips=6.2389 samples/sec | ETA 08:15:48 2021-04-14 15:12:44 [INFO] [LOSS] loss=0.4947, semantic_loss=0.2867, center_loss=0.0872, offset_loss=0.1209 2021-04-14 15:14:44 [INFO] [TRAIN] epoch=1455, iter=66900/90000, loss=0.5143, lr=0.000015, batch_cost=1.2021, reader_cost=0.21171, ips=6.6549 samples/sec | ETA 07:42:49 2021-04-14 15:14:44 [INFO] [LOSS] loss=0.5143, semantic_loss=0.2989, center_loss=0.0889, offset_loss=0.1265 2021-04-14 15:16:44 [INFO] [TRAIN] epoch=1457, iter=67000/90000, loss=0.4946, lr=0.000015, batch_cost=1.1960, reader_cost=0.24427, ips=6.6890 samples/sec | ETA 07:38:27 2021-04-14 15:16:44 [INFO] [LOSS] loss=0.4946, semantic_loss=0.2949, center_loss=0.0848, offset_loss=0.1150 2021-04-14 15:18:44 [INFO] [TRAIN] epoch=1459, iter=67100/90000, loss=0.5168, lr=0.000015, batch_cost=1.1939, reader_cost=0.22032, ips=6.7005 samples/sec | ETA 07:35:41 2021-04-14 15:18:44 [INFO] [LOSS] loss=0.5168, semantic_loss=0.3026, center_loss=0.0884, offset_loss=0.1258 2021-04-14 15:20:43 [INFO] [TRAIN] epoch=1461, iter=67200/90000, loss=0.4770, lr=0.000015, batch_cost=1.1950, reader_cost=0.23165, ips=6.6947 samples/sec | ETA 07:34:05 2021-04-14 15:20:43 [INFO] [LOSS] loss=0.4770, semantic_loss=0.2886, center_loss=0.0811, offset_loss=0.1073 2021-04-14 15:22:52 [INFO] [TRAIN] epoch=1464, iter=67300/90000, loss=0.5087, lr=0.000014, batch_cost=1.2820, reader_cost=0.32637, ips=6.2404 samples/sec | ETA 08:05:00 2021-04-14 15:22:52 [INFO] [LOSS] loss=0.5087, semantic_loss=0.2871, center_loss=0.0867, offset_loss=0.1350 2021-04-14 15:24:54 [INFO] [TRAIN] epoch=1466, iter=67400/90000, loss=0.5320, lr=0.000014, batch_cost=1.2185, reader_cost=0.24920, ips=6.5653 samples/sec | ETA 07:38:58 2021-04-14 15:24:54 [INFO] [LOSS] loss=0.5320, semantic_loss=0.2975, center_loss=0.0871, offset_loss=0.1473 2021-04-14 15:26:54 [INFO] [TRAIN] epoch=1468, iter=67500/90000, loss=0.4865, lr=0.000014, batch_cost=1.2019, reader_cost=0.23815, ips=6.6560 samples/sec | ETA 07:30:43 2021-04-14 15:26:54 [INFO] [LOSS] loss=0.4865, semantic_loss=0.2956, center_loss=0.0854, offset_loss=0.1056 2021-04-14 15:28:54 [INFO] [TRAIN] epoch=1470, iter=67600/90000, loss=0.4860, lr=0.000014, batch_cost=1.1954, reader_cost=0.24085, ips=6.6922 samples/sec | ETA 07:26:17 2021-04-14 15:28:54 [INFO] [LOSS] loss=0.4860, semantic_loss=0.2956, center_loss=0.0807, offset_loss=0.1097 2021-04-14 15:30:56 [INFO] [TRAIN] epoch=1472, iter=67700/90000, loss=0.4826, lr=0.000014, batch_cost=1.2168, reader_cost=0.26659, ips=6.5745 samples/sec | ETA 07:32:15 2021-04-14 15:30:56 [INFO] [LOSS] loss=0.4826, semantic_loss=0.2923, center_loss=0.0842, offset_loss=0.1061 2021-04-14 15:32:54 [INFO] [TRAIN] epoch=1474, iter=67800/90000, loss=0.5021, lr=0.000014, batch_cost=1.1873, reader_cost=0.23371, ips=6.7381 samples/sec | ETA 07:19:17 2021-04-14 15:32:54 [INFO] [LOSS] loss=0.5021, semantic_loss=0.2992, center_loss=0.0867, offset_loss=0.1162 2021-04-14 15:35:02 [INFO] [TRAIN] epoch=1477, iter=67900/90000, loss=0.5042, lr=0.000014, batch_cost=1.2737, reader_cost=0.32508, ips=6.2808 samples/sec | ETA 07:49:09 2021-04-14 15:35:02 [INFO] [LOSS] loss=0.5042, semantic_loss=0.3109, center_loss=0.0866, offset_loss=0.1066 2021-04-14 15:37:03 [INFO] [TRAIN] epoch=1479, iter=68000/90000, loss=0.4715, lr=0.000014, batch_cost=1.2072, reader_cost=0.24588, ips=6.6268 samples/sec | ETA 07:22:38 2021-04-14 15:37:03 [INFO] [LOSS] loss=0.4715, semantic_loss=0.2809, center_loss=0.0851, offset_loss=0.1055 2021-04-14 15:39:04 [INFO] [TRAIN] epoch=1481, iter=68100/90000, loss=0.4997, lr=0.000014, batch_cost=1.2089, reader_cost=0.25125, ips=6.6177 samples/sec | ETA 07:21:14 2021-04-14 15:39:04 [INFO] [LOSS] loss=0.4997, semantic_loss=0.2921, center_loss=0.0861, offset_loss=0.1215 2021-04-14 15:41:03 [INFO] [TRAIN] epoch=1483, iter=68200/90000, loss=0.5058, lr=0.000014, batch_cost=1.1913, reader_cost=0.23163, ips=6.7152 samples/sec | ETA 07:12:50 2021-04-14 15:41:03 [INFO] [LOSS] loss=0.5058, semantic_loss=0.2988, center_loss=0.0910, offset_loss=0.1161 2021-04-14 15:43:04 [INFO] [TRAIN] epoch=1485, iter=68300/90000, loss=0.4648, lr=0.000014, batch_cost=1.2015, reader_cost=0.23484, ips=6.6584 samples/sec | ETA 07:14:32 2021-04-14 15:43:04 [INFO] [LOSS] loss=0.4648, semantic_loss=0.2848, center_loss=0.0822, offset_loss=0.0978 2021-04-14 15:45:03 [INFO] [TRAIN] epoch=1487, iter=68400/90000, loss=0.4730, lr=0.000014, batch_cost=1.1906, reader_cost=0.23923, ips=6.7192 samples/sec | ETA 07:08:37 2021-04-14 15:45:03 [INFO] [LOSS] loss=0.4730, semantic_loss=0.2853, center_loss=0.0840, offset_loss=0.1037 2021-04-14 15:47:11 [INFO] [TRAIN] epoch=1490, iter=68500/90000, loss=0.5232, lr=0.000014, batch_cost=1.2790, reader_cost=0.30692, ips=6.2547 samples/sec | ETA 07:38:19 2021-04-14 15:47:11 [INFO] [LOSS] loss=0.5232, semantic_loss=0.3043, center_loss=0.0906, offset_loss=0.1283 2021-04-14 15:49:11 [INFO] [TRAIN] epoch=1492, iter=68600/90000, loss=0.5681, lr=0.000014, batch_cost=1.2008, reader_cost=0.24587, ips=6.6620 samples/sec | ETA 07:08:17 2021-04-14 15:49:11 [INFO] [LOSS] loss=0.5681, semantic_loss=0.2962, center_loss=0.0880, offset_loss=0.1838 2021-04-14 15:51:11 [INFO] [TRAIN] epoch=1494, iter=68700/90000, loss=0.4837, lr=0.000014, batch_cost=1.1978, reader_cost=0.24069, ips=6.6789 samples/sec | ETA 07:05:13 2021-04-14 15:51:11 [INFO] [LOSS] loss=0.4837, semantic_loss=0.2923, center_loss=0.0805, offset_loss=0.1110 2021-04-14 15:53:11 [INFO] [TRAIN] epoch=1496, iter=68800/90000, loss=0.4924, lr=0.000014, batch_cost=1.1983, reader_cost=0.23330, ips=6.6762 samples/sec | ETA 07:03:23 2021-04-14 15:53:11 [INFO] [LOSS] loss=0.4924, semantic_loss=0.2952, center_loss=0.0805, offset_loss=0.1166 2021-04-14 15:55:12 [INFO] [TRAIN] epoch=1498, iter=68900/90000, loss=0.4941, lr=0.000014, batch_cost=1.2142, reader_cost=0.25339, ips=6.5888 samples/sec | ETA 07:06:59 2021-04-14 15:55:12 [INFO] [LOSS] loss=0.4941, semantic_loss=0.2904, center_loss=0.0815, offset_loss=0.1222 2021-04-14 15:57:11 [INFO] [TRAIN] epoch=1500, iter=69000/90000, loss=0.4506, lr=0.000013, batch_cost=1.1825, reader_cost=0.22688, ips=6.7652 samples/sec | ETA 06:53:52 2021-04-14 15:57:11 [INFO] [LOSS] loss=0.4506, semantic_loss=0.2759, center_loss=0.0800, offset_loss=0.0946 2021-04-14 15:59:19 [INFO] [TRAIN] epoch=1503, iter=69100/90000, loss=0.5021, lr=0.000013, batch_cost=1.2802, reader_cost=0.32417, ips=6.2490 samples/sec | ETA 07:25:56 2021-04-14 15:59:19 [INFO] [LOSS] loss=0.5021, semantic_loss=0.3028, center_loss=0.0880, offset_loss=0.1113 2021-04-14 16:01:18 [INFO] [TRAIN] epoch=1505, iter=69200/90000, loss=0.4603, lr=0.000013, batch_cost=1.1912, reader_cost=0.22718, ips=6.7157 samples/sec | ETA 06:52:57 2021-04-14 16:01:18 [INFO] [LOSS] loss=0.4603, semantic_loss=0.2839, center_loss=0.0750, offset_loss=0.1013 2021-04-14 16:03:18 [INFO] [TRAIN] epoch=1507, iter=69300/90000, loss=0.4873, lr=0.000013, batch_cost=1.1978, reader_cost=0.23466, ips=6.6791 samples/sec | ETA 06:53:13 2021-04-14 16:03:18 [INFO] [LOSS] loss=0.4873, semantic_loss=0.2881, center_loss=0.0791, offset_loss=0.1201 2021-04-14 16:05:17 [INFO] [TRAIN] epoch=1509, iter=69400/90000, loss=0.4939, lr=0.000013, batch_cost=1.1866, reader_cost=0.21386, ips=6.7419 samples/sec | ETA 06:47:24 2021-04-14 16:05:17 [INFO] [LOSS] loss=0.4939, semantic_loss=0.2845, center_loss=0.0889, offset_loss=0.1205 2021-04-14 16:07:17 [INFO] [TRAIN] epoch=1511, iter=69500/90000, loss=0.4782, lr=0.000013, batch_cost=1.1995, reader_cost=0.23101, ips=6.6697 samples/sec | ETA 06:49:48 2021-04-14 16:07:17 [INFO] [LOSS] loss=0.4782, semantic_loss=0.2858, center_loss=0.0847, offset_loss=0.1078 2021-04-14 16:09:25 [INFO] [TRAIN] epoch=1514, iter=69600/90000, loss=0.4958, lr=0.000013, batch_cost=1.2766, reader_cost=0.32501, ips=6.2664 samples/sec | ETA 07:14:03 2021-04-14 16:09:25 [INFO] [LOSS] loss=0.4958, semantic_loss=0.2920, center_loss=0.0862, offset_loss=0.1177 2021-04-14 16:11:26 [INFO] [TRAIN] epoch=1516, iter=69700/90000, loss=0.4839, lr=0.000013, batch_cost=1.2080, reader_cost=0.25432, ips=6.6225 samples/sec | ETA 06:48:42 2021-04-14 16:11:26 [INFO] [LOSS] loss=0.4839, semantic_loss=0.2909, center_loss=0.0851, offset_loss=0.1078 2021-04-14 16:13:25 [INFO] [TRAIN] epoch=1518, iter=69800/90000, loss=0.6262, lr=0.000013, batch_cost=1.1936, reader_cost=0.23682, ips=6.7025 samples/sec | ETA 06:41:50 2021-04-14 16:13:25 [INFO] [LOSS] loss=0.6262, semantic_loss=0.2977, center_loss=0.0862, offset_loss=0.2423 2021-04-14 16:15:25 [INFO] [TRAIN] epoch=1520, iter=69900/90000, loss=0.4849, lr=0.000013, batch_cost=1.1933, reader_cost=0.23310, ips=6.7042 samples/sec | ETA 06:39:44 2021-04-14 16:15:25 [INFO] [LOSS] loss=0.4849, semantic_loss=0.2885, center_loss=0.0851, offset_loss=0.1114 2021-04-14 16:17:25 [INFO] [TRAIN] epoch=1522, iter=70000/90000, loss=0.4982, lr=0.000013, batch_cost=1.2012, reader_cost=0.24321, ips=6.6598 samples/sec | ETA 06:40:24 2021-04-14 16:17:25 [INFO] [LOSS] loss=0.4982, semantic_loss=0.2807, center_loss=0.0865, offset_loss=0.1311 2021-04-14 16:19:31 [INFO] [TRAIN] epoch=1524, iter=70100/90000, loss=0.4928, lr=0.000013, batch_cost=1.1768, reader_cost=0.22423, ips=6.7979 samples/sec | ETA 06:30:18 2021-04-14 16:19:31 [INFO] [LOSS] loss=0.4928, semantic_loss=0.2825, center_loss=0.0826, offset_loss=0.1277 2021-04-14 16:21:38 [INFO] [TRAIN] epoch=1527, iter=70200/90000, loss=0.5180, lr=0.000013, batch_cost=1.2665, reader_cost=0.31475, ips=6.3168 samples/sec | ETA 06:57:56 2021-04-14 16:21:38 [INFO] [LOSS] loss=0.5180, semantic_loss=0.2767, center_loss=0.0800, offset_loss=0.1613 2021-04-14 16:23:39 [INFO] [TRAIN] epoch=1529, iter=70300/90000, loss=0.4808, lr=0.000013, batch_cost=1.2063, reader_cost=0.25298, ips=6.6317 samples/sec | ETA 06:36:04 2021-04-14 16:23:39 [INFO] [LOSS] loss=0.4808, semantic_loss=0.2970, center_loss=0.0831, offset_loss=0.1008 2021-04-14 16:25:38 [INFO] [TRAIN] epoch=1531, iter=70400/90000, loss=0.5005, lr=0.000013, batch_cost=1.1927, reader_cost=0.23711, ips=6.7074 samples/sec | ETA 06:29:37 2021-04-14 16:25:38 [INFO] [LOSS] loss=0.5005, semantic_loss=0.2901, center_loss=0.0845, offset_loss=0.1259 2021-04-14 16:27:38 [INFO] [TRAIN] epoch=1533, iter=70500/90000, loss=0.4829, lr=0.000013, batch_cost=1.1958, reader_cost=0.23128, ips=6.6902 samples/sec | ETA 06:28:37 2021-04-14 16:27:38 [INFO] [LOSS] loss=0.4829, semantic_loss=0.2908, center_loss=0.0819, offset_loss=0.1102 2021-04-14 16:29:38 [INFO] [TRAIN] epoch=1535, iter=70600/90000, loss=0.4823, lr=0.000013, batch_cost=1.2005, reader_cost=0.23712, ips=6.6640 samples/sec | ETA 06:28:09 2021-04-14 16:29:38 [INFO] [LOSS] loss=0.4823, semantic_loss=0.2950, center_loss=0.0808, offset_loss=0.1065 2021-04-14 16:31:38 [INFO] [TRAIN] epoch=1537, iter=70700/90000, loss=0.4745, lr=0.000013, batch_cost=1.1942, reader_cost=0.24625, ips=6.6991 samples/sec | ETA 06:24:07 2021-04-14 16:31:38 [INFO] [LOSS] loss=0.4745, semantic_loss=0.2804, center_loss=0.0825, offset_loss=0.1116 2021-04-14 16:33:47 [INFO] [TRAIN] epoch=1540, iter=70800/90000, loss=0.4859, lr=0.000012, batch_cost=1.2898, reader_cost=0.32226, ips=6.2025 samples/sec | ETA 06:52:44 2021-04-14 16:33:47 [INFO] [LOSS] loss=0.4859, semantic_loss=0.2938, center_loss=0.0815, offset_loss=0.1107 2021-04-14 16:35:47 [INFO] [TRAIN] epoch=1542, iter=70900/90000, loss=0.4870, lr=0.000012, batch_cost=1.1934, reader_cost=0.21604, ips=6.7037 samples/sec | ETA 06:19:53 2021-04-14 16:35:47 [INFO] [LOSS] loss=0.4870, semantic_loss=0.2902, center_loss=0.0872, offset_loss=0.1095 2021-04-14 16:37:46 [INFO] [TRAIN] epoch=1544, iter=71000/90000, loss=0.4926, lr=0.000012, batch_cost=1.1929, reader_cost=0.23001, ips=6.7062 samples/sec | ETA 06:17:45 2021-04-14 16:37:46 [INFO] [LOSS] loss=0.4926, semantic_loss=0.2935, center_loss=0.0843, offset_loss=0.1147 2021-04-14 16:39:45 [INFO] [TRAIN] epoch=1546, iter=71100/90000, loss=0.4985, lr=0.000012, batch_cost=1.1897, reader_cost=0.22799, ips=6.7244 samples/sec | ETA 06:14:45 2021-04-14 16:39:45 [INFO] [LOSS] loss=0.4985, semantic_loss=0.2981, center_loss=0.0840, offset_loss=0.1164 2021-04-14 16:41:45 [INFO] [TRAIN] epoch=1548, iter=71200/90000, loss=0.4968, lr=0.000012, batch_cost=1.1972, reader_cost=0.23747, ips=6.6825 samples/sec | ETA 06:15:06 2021-04-14 16:41:45 [INFO] [LOSS] loss=0.4968, semantic_loss=0.2935, center_loss=0.0861, offset_loss=0.1172 2021-04-14 16:43:43 [INFO] [TRAIN] epoch=1550, iter=71300/90000, loss=0.4586, lr=0.000012, batch_cost=1.1839, reader_cost=0.22627, ips=6.7571 samples/sec | ETA 06:08:59 2021-04-14 16:43:43 [INFO] [LOSS] loss=0.4586, semantic_loss=0.2789, center_loss=0.0753, offset_loss=0.1043 2021-04-14 16:45:52 [INFO] [TRAIN] epoch=1553, iter=71400/90000, loss=0.4820, lr=0.000012, batch_cost=1.2838, reader_cost=0.31425, ips=6.2317 samples/sec | ETA 06:37:58 2021-04-14 16:45:52 [INFO] [LOSS] loss=0.4820, semantic_loss=0.2875, center_loss=0.0851, offset_loss=0.1094 2021-04-14 16:47:52 [INFO] [TRAIN] epoch=1555, iter=71500/90000, loss=0.5008, lr=0.000012, batch_cost=1.2042, reader_cost=0.24987, ips=6.6435 samples/sec | ETA 06:11:17 2021-04-14 16:47:52 [INFO] [LOSS] loss=0.5008, semantic_loss=0.2899, center_loss=0.0898, offset_loss=0.1212 2021-04-14 16:49:53 [INFO] [TRAIN] epoch=1557, iter=71600/90000, loss=0.4741, lr=0.000012, batch_cost=1.1990, reader_cost=0.23433, ips=6.6721 samples/sec | ETA 06:07:41 2021-04-14 16:49:53 [INFO] [LOSS] loss=0.4741, semantic_loss=0.2751, center_loss=0.0817, offset_loss=0.1172 2021-04-14 16:51:52 [INFO] [TRAIN] epoch=1559, iter=71700/90000, loss=0.4676, lr=0.000012, batch_cost=1.1933, reader_cost=0.22400, ips=6.7043 samples/sec | ETA 06:03:56 2021-04-14 16:51:52 [INFO] [LOSS] loss=0.4676, semantic_loss=0.2857, center_loss=0.0774, offset_loss=0.1044 2021-04-14 16:53:51 [INFO] [TRAIN] epoch=1561, iter=71800/90000, loss=0.4639, lr=0.000012, batch_cost=1.1890, reader_cost=0.21698, ips=6.7283 samples/sec | ETA 06:00:40 2021-04-14 16:53:51 [INFO] [LOSS] loss=0.4639, semantic_loss=0.2766, center_loss=0.0831, offset_loss=0.1042 2021-04-14 16:55:58 [INFO] [TRAIN] epoch=1564, iter=71900/90000, loss=0.4875, lr=0.000012, batch_cost=1.2683, reader_cost=0.29400, ips=6.3077 samples/sec | ETA 06:22:36 2021-04-14 16:55:58 [INFO] [LOSS] loss=0.4875, semantic_loss=0.2832, center_loss=0.0873, offset_loss=0.1170 2021-04-14 16:58:00 [INFO] [TRAIN] epoch=1566, iter=72000/90000, loss=0.4832, lr=0.000012, batch_cost=1.2179, reader_cost=0.24754, ips=6.5687 samples/sec | ETA 06:05:21 2021-04-14 16:58:00 [INFO] [LOSS] loss=0.4832, semantic_loss=0.2900, center_loss=0.0826, offset_loss=0.1106 2021-04-14 17:00:00 [INFO] [TRAIN] epoch=1568, iter=72100/90000, loss=0.5003, lr=0.000012, batch_cost=1.1952, reader_cost=0.23340, ips=6.6932 samples/sec | ETA 05:56:34 2021-04-14 17:00:00 [INFO] [LOSS] loss=0.5003, semantic_loss=0.2958, center_loss=0.0843, offset_loss=0.1202 2021-04-14 17:02:00 [INFO] [TRAIN] epoch=1570, iter=72200/90000, loss=0.4774, lr=0.000012, batch_cost=1.2052, reader_cost=0.25364, ips=6.6380 samples/sec | ETA 05:57:32 2021-04-14 17:02:00 [INFO] [LOSS] loss=0.4774, semantic_loss=0.2936, center_loss=0.0846, offset_loss=0.0993 2021-04-14 17:04:00 [INFO] [TRAIN] epoch=1572, iter=72300/90000, loss=0.4784, lr=0.000012, batch_cost=1.1980, reader_cost=0.23729, ips=6.6777 samples/sec | ETA 05:53:24 2021-04-14 17:04:00 [INFO] [LOSS] loss=0.4784, semantic_loss=0.2901, center_loss=0.0797, offset_loss=0.1086 2021-04-14 17:05:59 [INFO] [TRAIN] epoch=1574, iter=72400/90000, loss=0.4702, lr=0.000012, batch_cost=1.1851, reader_cost=0.22898, ips=6.7505 samples/sec | ETA 05:47:37 2021-04-14 17:05:59 [INFO] [LOSS] loss=0.4702, semantic_loss=0.2784, center_loss=0.0806, offset_loss=0.1112 2021-04-14 17:08:06 [INFO] [TRAIN] epoch=1577, iter=72500/90000, loss=0.4772, lr=0.000011, batch_cost=1.2690, reader_cost=0.31044, ips=6.3042 samples/sec | ETA 06:10:07 2021-04-14 17:08:06 [INFO] [LOSS] loss=0.4772, semantic_loss=0.2778, center_loss=0.0811, offset_loss=0.1183 2021-04-14 17:10:07 [INFO] [TRAIN] epoch=1579, iter=72600/90000, loss=0.4829, lr=0.000011, batch_cost=1.2113, reader_cost=0.24524, ips=6.6045 samples/sec | ETA 05:51:16 2021-04-14 17:10:07 [INFO] [LOSS] loss=0.4829, semantic_loss=0.2831, center_loss=0.0843, offset_loss=0.1154 2021-04-14 17:12:07 [INFO] [TRAIN] epoch=1581, iter=72700/90000, loss=0.4984, lr=0.000011, batch_cost=1.1962, reader_cost=0.20868, ips=6.6881 samples/sec | ETA 05:44:53 2021-04-14 17:12:07 [INFO] [LOSS] loss=0.4984, semantic_loss=0.2875, center_loss=0.0840, offset_loss=0.1269 2021-04-14 17:14:07 [INFO] [TRAIN] epoch=1583, iter=72800/90000, loss=0.4517, lr=0.000011, batch_cost=1.1959, reader_cost=0.23558, ips=6.6898 samples/sec | ETA 05:42:48 2021-04-14 17:14:07 [INFO] [LOSS] loss=0.4517, semantic_loss=0.2735, center_loss=0.0757, offset_loss=0.1024 2021-04-14 17:16:07 [INFO] [TRAIN] epoch=1585, iter=72900/90000, loss=0.4836, lr=0.000011, batch_cost=1.2016, reader_cost=0.23949, ips=6.6580 samples/sec | ETA 05:42:26 2021-04-14 17:16:07 [INFO] [LOSS] loss=0.4836, semantic_loss=0.2939, center_loss=0.0852, offset_loss=0.1045 2021-04-14 17:18:07 [INFO] [TRAIN] epoch=1587, iter=73000/90000, loss=0.4616, lr=0.000011, batch_cost=1.1990, reader_cost=0.24761, ips=6.6723 samples/sec | ETA 05:39:42 2021-04-14 17:18:07 [INFO] [LOSS] loss=0.4616, semantic_loss=0.2797, center_loss=0.0816, offset_loss=0.1004 2021-04-14 17:20:17 [INFO] [TRAIN] epoch=1590, iter=73100/90000, loss=0.4749, lr=0.000011, batch_cost=1.2967, reader_cost=0.33529, ips=6.1695 samples/sec | ETA 06:05:14 2021-04-14 17:20:17 [INFO] [LOSS] loss=0.4749, semantic_loss=0.2895, center_loss=0.0839, offset_loss=0.1014 2021-04-14 17:22:18 [INFO] [TRAIN] epoch=1592, iter=73200/90000, loss=0.4723, lr=0.000011, batch_cost=1.2035, reader_cost=0.23402, ips=6.6471 samples/sec | ETA 05:36:59 2021-04-14 17:22:18 [INFO] [LOSS] loss=0.4723, semantic_loss=0.2860, center_loss=0.0814, offset_loss=0.1049 2021-04-14 17:24:18 [INFO] [TRAIN] epoch=1594, iter=73300/90000, loss=0.4866, lr=0.000011, batch_cost=1.1979, reader_cost=0.23282, ips=6.6786 samples/sec | ETA 05:33:24 2021-04-14 17:24:18 [INFO] [LOSS] loss=0.4866, semantic_loss=0.2838, center_loss=0.0852, offset_loss=0.1176 2021-04-14 17:26:17 [INFO] [TRAIN] epoch=1596, iter=73400/90000, loss=0.4640, lr=0.000011, batch_cost=1.1935, reader_cost=0.22548, ips=6.7028 samples/sec | ETA 05:30:12 2021-04-14 17:26:17 [INFO] [LOSS] loss=0.4640, semantic_loss=0.2866, center_loss=0.0742, offset_loss=0.1033 2021-04-14 17:28:18 [INFO] [TRAIN] epoch=1598, iter=73500/90000, loss=0.4699, lr=0.000011, batch_cost=1.2115, reader_cost=0.26327, ips=6.6036 samples/sec | ETA 05:33:09 2021-04-14 17:28:18 [INFO] [LOSS] loss=0.4699, semantic_loss=0.2829, center_loss=0.0870, offset_loss=0.0999 2021-04-14 17:30:18 [INFO] [TRAIN] epoch=1600, iter=73600/90000, loss=0.4990, lr=0.000011, batch_cost=1.1930, reader_cost=0.25509, ips=6.7060 samples/sec | ETA 05:26:04 2021-04-14 17:30:18 [INFO] [LOSS] loss=0.4990, semantic_loss=0.2678, center_loss=0.0693, offset_loss=0.1618 2021-04-14 17:32:26 [INFO] [TRAIN] epoch=1603, iter=73700/90000, loss=0.4911, lr=0.000011, batch_cost=1.2799, reader_cost=0.31106, ips=6.2506 samples/sec | ETA 05:47:42 2021-04-14 17:32:26 [INFO] [LOSS] loss=0.4911, semantic_loss=0.2913, center_loss=0.0854, offset_loss=0.1145 2021-04-14 17:34:27 [INFO] [TRAIN] epoch=1605, iter=73800/90000, loss=0.4738, lr=0.000011, batch_cost=1.2051, reader_cost=0.22953, ips=6.6386 samples/sec | ETA 05:25:22 2021-04-14 17:34:27 [INFO] [LOSS] loss=0.4738, semantic_loss=0.2857, center_loss=0.0808, offset_loss=0.1073 2021-04-14 17:36:26 [INFO] [TRAIN] epoch=1607, iter=73900/90000, loss=0.4762, lr=0.000011, batch_cost=1.1964, reader_cost=0.23139, ips=6.6870 samples/sec | ETA 05:21:01 2021-04-14 17:36:26 [INFO] [LOSS] loss=0.4762, semantic_loss=0.2835, center_loss=0.0827, offset_loss=0.1100 2021-04-14 17:38:27 [INFO] [TRAIN] epoch=1609, iter=74000/90000, loss=0.4590, lr=0.000011, batch_cost=1.2010, reader_cost=0.23254, ips=6.6611 samples/sec | ETA 05:20:16 2021-04-14 17:38:27 [INFO] [LOSS] loss=0.4590, semantic_loss=0.2906, center_loss=0.0802, offset_loss=0.0882 2021-04-14 17:40:27 [INFO] [TRAIN] epoch=1611, iter=74100/90000, loss=0.5294, lr=0.000011, batch_cost=1.2005, reader_cost=0.24875, ips=6.6638 samples/sec | ETA 05:18:08 2021-04-14 17:40:27 [INFO] [LOSS] loss=0.5294, semantic_loss=0.2995, center_loss=0.0814, offset_loss=0.1485 2021-04-14 17:42:34 [INFO] [TRAIN] epoch=1614, iter=74200/90000, loss=0.4605, lr=0.000010, batch_cost=1.2732, reader_cost=0.30956, ips=6.2832 samples/sec | ETA 05:35:17 2021-04-14 17:42:34 [INFO] [LOSS] loss=0.4605, semantic_loss=0.2771, center_loss=0.0781, offset_loss=0.1054 2021-04-14 17:44:37 [INFO] [TRAIN] epoch=1616, iter=74300/90000, loss=0.5234, lr=0.000010, batch_cost=1.2238, reader_cost=0.27073, ips=6.5369 samples/sec | ETA 05:20:13 2021-04-14 17:44:37 [INFO] [LOSS] loss=0.5234, semantic_loss=0.2911, center_loss=0.0879, offset_loss=0.1444 2021-04-14 17:46:37 [INFO] [TRAIN] epoch=1618, iter=74400/90000, loss=0.4854, lr=0.000010, batch_cost=1.1989, reader_cost=0.24111, ips=6.6731 samples/sec | ETA 05:11:42 2021-04-14 17:46:37 [INFO] [LOSS] loss=0.4854, semantic_loss=0.2924, center_loss=0.0820, offset_loss=0.1110 2021-04-14 17:48:37 [INFO] [TRAIN] epoch=1620, iter=74500/90000, loss=0.4701, lr=0.000010, batch_cost=1.1957, reader_cost=0.23723, ips=6.6905 samples/sec | ETA 05:08:53 2021-04-14 17:48:37 [INFO] [LOSS] loss=0.4701, semantic_loss=0.2848, center_loss=0.0749, offset_loss=0.1104 2021-04-14 17:50:36 [INFO] [TRAIN] epoch=1622, iter=74600/90000, loss=0.4842, lr=0.000010, batch_cost=1.1880, reader_cost=0.20565, ips=6.7339 samples/sec | ETA 05:04:55 2021-04-14 17:50:36 [INFO] [LOSS] loss=0.4842, semantic_loss=0.2777, center_loss=0.0813, offset_loss=0.1251 2021-04-14 17:52:35 [INFO] [TRAIN] epoch=1624, iter=74700/90000, loss=0.4827, lr=0.000010, batch_cost=1.1919, reader_cost=0.23176, ips=6.7118 samples/sec | ETA 05:03:56 2021-04-14 17:52:35 [INFO] [LOSS] loss=0.4827, semantic_loss=0.2854, center_loss=0.0832, offset_loss=0.1142 2021-04-14 17:54:42 [INFO] [TRAIN] epoch=1627, iter=74800/90000, loss=0.4541, lr=0.000010, batch_cost=1.2675, reader_cost=0.31591, ips=6.3118 samples/sec | ETA 05:21:05 2021-04-14 17:54:42 [INFO] [LOSS] loss=0.4541, semantic_loss=0.2796, center_loss=0.0816, offset_loss=0.0929 2021-04-14 17:56:43 [INFO] [TRAIN] epoch=1629, iter=74900/90000, loss=0.4888, lr=0.000010, batch_cost=1.2084, reader_cost=0.24403, ips=6.6204 samples/sec | ETA 05:04:06 2021-04-14 17:56:43 [INFO] [LOSS] loss=0.4888, semantic_loss=0.2877, center_loss=0.0837, offset_loss=0.1174 2021-04-14 17:58:42 [INFO] [TRAIN] epoch=1631, iter=75000/90000, loss=0.4607, lr=0.000010, batch_cost=1.1945, reader_cost=0.21486, ips=6.6971 samples/sec | ETA 04:58:38 2021-04-14 17:58:42 [INFO] [LOSS] loss=0.4607, semantic_loss=0.2789, center_loss=0.0800, offset_loss=0.1018 2021-04-14 18:00:49 [INFO] [TRAIN] epoch=1633, iter=75100/90000, loss=0.4601, lr=0.000010, batch_cost=1.1789, reader_cost=0.22368, ips=6.7863 samples/sec | ETA 04:52:44 2021-04-14 18:00:49 [INFO] [LOSS] loss=0.4601, semantic_loss=0.2813, center_loss=0.0784, offset_loss=0.1004 2021-04-14 18:02:50 [INFO] [TRAIN] epoch=1635, iter=75200/90000, loss=0.4813, lr=0.000010, batch_cost=1.2015, reader_cost=0.24385, ips=6.6585 samples/sec | ETA 04:56:21 2021-04-14 18:02:50 [INFO] [LOSS] loss=0.4813, semantic_loss=0.2843, center_loss=0.0805, offset_loss=0.1166 2021-04-14 18:04:49 [INFO] [TRAIN] epoch=1637, iter=75300/90000, loss=0.4637, lr=0.000010, batch_cost=1.1907, reader_cost=0.23861, ips=6.7189 samples/sec | ETA 04:51:42 2021-04-14 18:04:49 [INFO] [LOSS] loss=0.4637, semantic_loss=0.2779, center_loss=0.0758, offset_loss=0.1100 2021-04-14 18:06:58 [INFO] [TRAIN] epoch=1640, iter=75400/90000, loss=0.4652, lr=0.000010, batch_cost=1.2870, reader_cost=0.32624, ips=6.2158 samples/sec | ETA 05:13:10 2021-04-14 18:06:58 [INFO] [LOSS] loss=0.4652, semantic_loss=0.2826, center_loss=0.0793, offset_loss=0.1033 2021-04-14 18:08:57 [INFO] [TRAIN] epoch=1642, iter=75500/90000, loss=0.4637, lr=0.000010, batch_cost=1.1963, reader_cost=0.24518, ips=6.6872 samples/sec | ETA 04:49:06 2021-04-14 18:08:57 [INFO] [LOSS] loss=0.4637, semantic_loss=0.2767, center_loss=0.0816, offset_loss=0.1054 2021-04-14 18:10:58 [INFO] [TRAIN] epoch=1644, iter=75600/90000, loss=0.4380, lr=0.000010, batch_cost=1.2018, reader_cost=0.23744, ips=6.6569 samples/sec | ETA 04:48:25 2021-04-14 18:10:58 [INFO] [LOSS] loss=0.4380, semantic_loss=0.2745, center_loss=0.0757, offset_loss=0.0878 2021-04-14 18:12:58 [INFO] [TRAIN] epoch=1646, iter=75700/90000, loss=0.4704, lr=0.000010, batch_cost=1.1995, reader_cost=0.22899, ips=6.6696 samples/sec | ETA 04:45:52 2021-04-14 18:12:58 [INFO] [LOSS] loss=0.4704, semantic_loss=0.2813, center_loss=0.0814, offset_loss=0.1077 2021-04-14 18:14:58 [INFO] [TRAIN] epoch=1648, iter=75800/90000, loss=0.4519, lr=0.000009, batch_cost=1.1998, reader_cost=0.23323, ips=6.6675 samples/sec | ETA 04:43:57 2021-04-14 18:14:58 [INFO] [LOSS] loss=0.4519, semantic_loss=0.2752, center_loss=0.0773, offset_loss=0.0994 2021-04-14 18:16:58 [INFO] [TRAIN] epoch=1650, iter=75900/90000, loss=0.4628, lr=0.000009, batch_cost=1.1992, reader_cost=0.25661, ips=6.6714 samples/sec | ETA 04:41:48 2021-04-14 18:16:58 [INFO] [LOSS] loss=0.4628, semantic_loss=0.2845, center_loss=0.0764, offset_loss=0.1019 2021-04-14 18:19:07 [INFO] [TRAIN] epoch=1653, iter=76000/90000, loss=0.4848, lr=0.000009, batch_cost=1.2908, reader_cost=0.33192, ips=6.1976 samples/sec | ETA 05:01:11 2021-04-14 18:19:07 [INFO] [LOSS] loss=0.4848, semantic_loss=0.2851, center_loss=0.0793, offset_loss=0.1204 2021-04-14 18:21:07 [INFO] [TRAIN] epoch=1655, iter=76100/90000, loss=0.4648, lr=0.000009, batch_cost=1.1961, reader_cost=0.23845, ips=6.6887 samples/sec | ETA 04:37:05 2021-04-14 18:21:07 [INFO] [LOSS] loss=0.4648, semantic_loss=0.2845, center_loss=0.0788, offset_loss=0.1014 2021-04-14 18:23:08 [INFO] [TRAIN] epoch=1657, iter=76200/90000, loss=0.4711, lr=0.000009, batch_cost=1.2035, reader_cost=0.24956, ips=6.6471 samples/sec | ETA 04:36:48 2021-04-14 18:23:08 [INFO] [LOSS] loss=0.4711, semantic_loss=0.2795, center_loss=0.0769, offset_loss=0.1148 2021-04-14 18:25:07 [INFO] [TRAIN] epoch=1659, iter=76300/90000, loss=0.4663, lr=0.000009, batch_cost=1.1916, reader_cost=0.22459, ips=6.7134 samples/sec | ETA 04:32:05 2021-04-14 18:25:07 [INFO] [LOSS] loss=0.4663, semantic_loss=0.2825, center_loss=0.0809, offset_loss=0.1028 2021-04-14 18:27:07 [INFO] [TRAIN] epoch=1661, iter=76400/90000, loss=0.4602, lr=0.000009, batch_cost=1.1948, reader_cost=0.23497, ips=6.6957 samples/sec | ETA 04:30:49 2021-04-14 18:27:07 [INFO] [LOSS] loss=0.4602, semantic_loss=0.2715, center_loss=0.0803, offset_loss=0.1085 2021-04-14 18:29:13 [INFO] [TRAIN] epoch=1664, iter=76500/90000, loss=0.4936, lr=0.000009, batch_cost=1.2618, reader_cost=0.28226, ips=6.3401 samples/sec | ETA 04:43:54 2021-04-14 18:29:13 [INFO] [LOSS] loss=0.4936, semantic_loss=0.2806, center_loss=0.0819, offset_loss=0.1310 2021-04-14 18:31:15 [INFO] [TRAIN] epoch=1666, iter=76600/90000, loss=0.4817, lr=0.000009, batch_cost=1.2232, reader_cost=0.27815, ips=6.5402 samples/sec | ETA 04:33:11 2021-04-14 18:31:15 [INFO] [LOSS] loss=0.4817, semantic_loss=0.2848, center_loss=0.0850, offset_loss=0.1120 2021-04-14 18:33:16 [INFO] [TRAIN] epoch=1668, iter=76700/90000, loss=0.4688, lr=0.000009, batch_cost=1.2022, reader_cost=0.25016, ips=6.6545 samples/sec | ETA 04:26:29 2021-04-14 18:33:16 [INFO] [LOSS] loss=0.4688, semantic_loss=0.2797, center_loss=0.0819, offset_loss=0.1072 2021-04-14 18:35:16 [INFO] [TRAIN] epoch=1670, iter=76800/90000, loss=0.4827, lr=0.000009, batch_cost=1.2005, reader_cost=0.24505, ips=6.6641 samples/sec | ETA 04:24:06 2021-04-14 18:35:16 [INFO] [LOSS] loss=0.4827, semantic_loss=0.2902, center_loss=0.0841, offset_loss=0.1084 2021-04-14 18:37:16 [INFO] [TRAIN] epoch=1672, iter=76900/90000, loss=0.4790, lr=0.000009, batch_cost=1.1984, reader_cost=0.22643, ips=6.6755 samples/sec | ETA 04:21:39 2021-04-14 18:37:16 [INFO] [LOSS] loss=0.4790, semantic_loss=0.2883, center_loss=0.0802, offset_loss=0.1105 2021-04-14 18:39:15 [INFO] [TRAIN] epoch=1674, iter=77000/90000, loss=0.4285, lr=0.000009, batch_cost=1.1873, reader_cost=0.22593, ips=6.7379 samples/sec | ETA 04:17:15 2021-04-14 18:39:15 [INFO] [LOSS] loss=0.4285, semantic_loss=0.2646, center_loss=0.0717, offset_loss=0.0922 2021-04-14 18:41:22 [INFO] [TRAIN] epoch=1677, iter=77100/90000, loss=0.4948, lr=0.000009, batch_cost=1.2752, reader_cost=0.30694, ips=6.2735 samples/sec | ETA 04:34:10 2021-04-14 18:41:22 [INFO] [LOSS] loss=0.4948, semantic_loss=0.2827, center_loss=0.0820, offset_loss=0.1301 2021-04-14 18:43:23 [INFO] [TRAIN] epoch=1679, iter=77200/90000, loss=0.4765, lr=0.000009, batch_cost=1.2039, reader_cost=0.24643, ips=6.6448 samples/sec | ETA 04:16:50 2021-04-14 18:43:23 [INFO] [LOSS] loss=0.4765, semantic_loss=0.2921, center_loss=0.0857, offset_loss=0.0987 2021-04-14 18:45:23 [INFO] [TRAIN] epoch=1681, iter=77300/90000, loss=0.4772, lr=0.000009, batch_cost=1.2001, reader_cost=0.22009, ips=6.6662 samples/sec | ETA 04:14:01 2021-04-14 18:45:23 [INFO] [LOSS] loss=0.4772, semantic_loss=0.2792, center_loss=0.0762, offset_loss=0.1218 2021-04-14 18:47:23 [INFO] [TRAIN] epoch=1683, iter=77400/90000, loss=0.4751, lr=0.000009, batch_cost=1.1970, reader_cost=0.24913, ips=6.6835 samples/sec | ETA 04:11:21 2021-04-14 18:47:23 [INFO] [LOSS] loss=0.4751, semantic_loss=0.2904, center_loss=0.0783, offset_loss=0.1065 2021-04-14 18:49:23 [INFO] [TRAIN] epoch=1685, iter=77500/90000, loss=0.4649, lr=0.000008, batch_cost=1.1967, reader_cost=0.21988, ips=6.6851 samples/sec | ETA 04:09:18 2021-04-14 18:49:23 [INFO] [LOSS] loss=0.4649, semantic_loss=0.2784, center_loss=0.0774, offset_loss=0.1091 2021-04-14 18:51:23 [INFO] [TRAIN] epoch=1687, iter=77600/90000, loss=0.4774, lr=0.000008, batch_cost=1.1932, reader_cost=0.23893, ips=6.7045 samples/sec | ETA 04:06:36 2021-04-14 18:51:23 [INFO] [LOSS] loss=0.4774, semantic_loss=0.2651, center_loss=0.0832, offset_loss=0.1291 2021-04-14 18:53:30 [INFO] [TRAIN] epoch=1690, iter=77700/90000, loss=0.4719, lr=0.000008, batch_cost=1.2765, reader_cost=0.31124, ips=6.2670 samples/sec | ETA 04:21:41 2021-04-14 18:53:30 [INFO] [LOSS] loss=0.4719, semantic_loss=0.2847, center_loss=0.0800, offset_loss=0.1072 2021-04-14 18:55:31 [INFO] [TRAIN] epoch=1692, iter=77800/90000, loss=0.4603, lr=0.000008, batch_cost=1.2025, reader_cost=0.24772, ips=6.6529 samples/sec | ETA 04:04:30 2021-04-14 18:55:31 [INFO] [LOSS] loss=0.4603, semantic_loss=0.2835, center_loss=0.0750, offset_loss=0.1019 2021-04-14 18:57:31 [INFO] [TRAIN] epoch=1694, iter=77900/90000, loss=0.4726, lr=0.000008, batch_cost=1.1990, reader_cost=0.24166, ips=6.6723 samples/sec | ETA 04:01:47 2021-04-14 18:57:31 [INFO] [LOSS] loss=0.4726, semantic_loss=0.2850, center_loss=0.0730, offset_loss=0.1146 2021-04-14 18:59:30 [INFO] [TRAIN] epoch=1696, iter=78000/90000, loss=0.4686, lr=0.000008, batch_cost=1.1942, reader_cost=0.22880, ips=6.6992 samples/sec | ETA 03:58:49 2021-04-14 18:59:30 [INFO] [LOSS] loss=0.4686, semantic_loss=0.2736, center_loss=0.0794, offset_loss=0.1156 2021-04-14 19:01:30 [INFO] [TRAIN] epoch=1698, iter=78100/90000, loss=0.4585, lr=0.000008, batch_cost=1.1942, reader_cost=0.23046, ips=6.6992 samples/sec | ETA 03:56:50 2021-04-14 19:01:30 [INFO] [LOSS] loss=0.4585, semantic_loss=0.2720, center_loss=0.0755, offset_loss=0.1110 2021-04-14 19:03:28 [INFO] [TRAIN] epoch=1700, iter=78200/90000, loss=0.4527, lr=0.000008, batch_cost=1.1830, reader_cost=0.22224, ips=6.7626 samples/sec | ETA 03:52:39 2021-04-14 19:03:28 [INFO] [LOSS] loss=0.4527, semantic_loss=0.2684, center_loss=0.0829, offset_loss=0.1015 2021-04-14 19:05:38 [INFO] [TRAIN] epoch=1703, iter=78300/90000, loss=0.4696, lr=0.000008, batch_cost=1.2934, reader_cost=0.33260, ips=6.1851 samples/sec | ETA 04:12:13 2021-04-14 19:05:38 [INFO] [LOSS] loss=0.4696, semantic_loss=0.2806, center_loss=0.0791, offset_loss=0.1099 2021-04-14 19:07:38 [INFO] [TRAIN] epoch=1705, iter=78400/90000, loss=0.4998, lr=0.000008, batch_cost=1.1993, reader_cost=0.24225, ips=6.6708 samples/sec | ETA 03:51:51 2021-04-14 19:07:38 [INFO] [LOSS] loss=0.4998, semantic_loss=0.2919, center_loss=0.0821, offset_loss=0.1258 2021-04-14 19:09:38 [INFO] [TRAIN] epoch=1707, iter=78500/90000, loss=0.4679, lr=0.000008, batch_cost=1.2008, reader_cost=0.24684, ips=6.6622 samples/sec | ETA 03:50:09 2021-04-14 19:09:38 [INFO] [LOSS] loss=0.4679, semantic_loss=0.2753, center_loss=0.0756, offset_loss=0.1170 2021-04-14 19:11:39 [INFO] [TRAIN] epoch=1709, iter=78600/90000, loss=0.4835, lr=0.000008, batch_cost=1.2110, reader_cost=0.25194, ips=6.6059 samples/sec | ETA 03:50:05 2021-04-14 19:11:39 [INFO] [LOSS] loss=0.4835, semantic_loss=0.2861, center_loss=0.0786, offset_loss=0.1187 2021-04-14 19:13:39 [INFO] [TRAIN] epoch=1711, iter=78700/90000, loss=0.4549, lr=0.000008, batch_cost=1.1925, reader_cost=0.22663, ips=6.7087 samples/sec | ETA 03:44:35 2021-04-14 19:13:39 [INFO] [LOSS] loss=0.4549, semantic_loss=0.2804, center_loss=0.0787, offset_loss=0.0958 2021-04-14 19:15:46 [INFO] [TRAIN] epoch=1714, iter=78800/90000, loss=0.4649, lr=0.000008, batch_cost=1.2736, reader_cost=0.32194, ips=6.2815 samples/sec | ETA 03:57:44 2021-04-14 19:15:46 [INFO] [LOSS] loss=0.4649, semantic_loss=0.2776, center_loss=0.0777, offset_loss=0.1096 2021-04-14 19:17:48 [INFO] [TRAIN] epoch=1716, iter=78900/90000, loss=0.4791, lr=0.000008, batch_cost=1.2156, reader_cost=0.25536, ips=6.5810 samples/sec | ETA 03:44:53 2021-04-14 19:17:48 [INFO] [LOSS] loss=0.4791, semantic_loss=0.2916, center_loss=0.0809, offset_loss=0.1066 2021-04-14 19:19:48 [INFO] [TRAIN] epoch=1718, iter=79000/90000, loss=0.4811, lr=0.000008, batch_cost=1.2000, reader_cost=0.23002, ips=6.6669 samples/sec | ETA 03:39:59 2021-04-14 19:19:48 [INFO] [LOSS] loss=0.4811, semantic_loss=0.2859, center_loss=0.0859, offset_loss=0.1093 2021-04-14 19:21:47 [INFO] [TRAIN] epoch=1720, iter=79100/90000, loss=0.4819, lr=0.000007, batch_cost=1.1897, reader_cost=0.22557, ips=6.7244 samples/sec | ETA 03:36:07 2021-04-14 19:21:47 [INFO] [LOSS] loss=0.4819, semantic_loss=0.2873, center_loss=0.0754, offset_loss=0.1193 2021-04-14 19:23:47 [INFO] [TRAIN] epoch=1722, iter=79200/90000, loss=0.4584, lr=0.000007, batch_cost=1.1984, reader_cost=0.22397, ips=6.6758 samples/sec | ETA 03:35:42 2021-04-14 19:23:47 [INFO] [LOSS] loss=0.4584, semantic_loss=0.2753, center_loss=0.0758, offset_loss=0.1073 2021-04-14 19:25:46 [INFO] [TRAIN] epoch=1724, iter=79300/90000, loss=0.4699, lr=0.000007, batch_cost=1.1872, reader_cost=0.23671, ips=6.7384 samples/sec | ETA 03:31:43 2021-04-14 19:25:46 [INFO] [LOSS] loss=0.4699, semantic_loss=0.2644, center_loss=0.0779, offset_loss=0.1276 2021-04-14 19:27:55 [INFO] [TRAIN] epoch=1727, iter=79400/90000, loss=0.4540, lr=0.000007, batch_cost=1.2867, reader_cost=0.33856, ips=6.2173 samples/sec | ETA 03:47:19 2021-04-14 19:27:55 [INFO] [LOSS] loss=0.4540, semantic_loss=0.2696, center_loss=0.0749, offset_loss=0.1095 2021-04-14 19:29:57 [INFO] [TRAIN] epoch=1729, iter=79500/90000, loss=0.4737, lr=0.000007, batch_cost=1.2147, reader_cost=0.24890, ips=6.5859 samples/sec | ETA 03:32:34 2021-04-14 19:29:57 [INFO] [LOSS] loss=0.4737, semantic_loss=0.2794, center_loss=0.0804, offset_loss=0.1140 2021-04-14 19:31:58 [INFO] [TRAIN] epoch=1731, iter=79600/90000, loss=0.4663, lr=0.000007, batch_cost=1.2151, reader_cost=0.25724, ips=6.5840 samples/sec | ETA 03:30:36 2021-04-14 19:31:58 [INFO] [LOSS] loss=0.4663, semantic_loss=0.2762, center_loss=0.0818, offset_loss=0.1084 2021-04-14 19:33:58 [INFO] [TRAIN] epoch=1733, iter=79700/90000, loss=0.4451, lr=0.000007, batch_cost=1.1930, reader_cost=0.21099, ips=6.7060 samples/sec | ETA 03:24:47 2021-04-14 19:33:58 [INFO] [LOSS] loss=0.4451, semantic_loss=0.2759, center_loss=0.0767, offset_loss=0.0925 2021-04-14 19:35:58 [INFO] [TRAIN] epoch=1735, iter=79800/90000, loss=0.4723, lr=0.000007, batch_cost=1.2011, reader_cost=0.24553, ips=6.6607 samples/sec | ETA 03:24:11 2021-04-14 19:35:58 [INFO] [LOSS] loss=0.4723, semantic_loss=0.2855, center_loss=0.0786, offset_loss=0.1083 2021-04-14 19:37:58 [INFO] [TRAIN] epoch=1737, iter=79900/90000, loss=0.4463, lr=0.000007, batch_cost=1.1985, reader_cost=0.25009, ips=6.6749 samples/sec | ETA 03:21:45 2021-04-14 19:37:58 [INFO] [LOSS] loss=0.4463, semantic_loss=0.2728, center_loss=0.0765, offset_loss=0.0969 2021-04-14 19:40:06 [INFO] [TRAIN] epoch=1740, iter=80000/90000, loss=0.4608, lr=0.000007, batch_cost=1.2823, reader_cost=0.31754, ips=6.2388 samples/sec | ETA 03:33:42 2021-04-14 19:40:06 [INFO] [LOSS] loss=0.4608, semantic_loss=0.2833, center_loss=0.0811, offset_loss=0.0964 2021-04-14 19:42:14 [INFO] [TRAIN] epoch=1742, iter=80100/90000, loss=0.4814, lr=0.000007, batch_cost=1.1847, reader_cost=0.22963, ips=6.7527 samples/sec | ETA 03:15:28 2021-04-14 19:42:14 [INFO] [LOSS] loss=0.4814, semantic_loss=0.2851, center_loss=0.0817, offset_loss=0.1146 2021-04-14 19:44:14 [INFO] [TRAIN] epoch=1744, iter=80200/90000, loss=0.4567, lr=0.000007, batch_cost=1.2011, reader_cost=0.23179, ips=6.6607 samples/sec | ETA 03:16:10 2021-04-14 19:44:14 [INFO] [LOSS] loss=0.4567, semantic_loss=0.2729, center_loss=0.0813, offset_loss=0.1025 2021-04-14 19:46:14 [INFO] [TRAIN] epoch=1746, iter=80300/90000, loss=0.4915, lr=0.000007, batch_cost=1.1972, reader_cost=0.23972, ips=6.6824 samples/sec | ETA 03:13:32 2021-04-14 19:46:14 [INFO] [LOSS] loss=0.4915, semantic_loss=0.2771, center_loss=0.0822, offset_loss=0.1323 2021-04-14 19:48:13 [INFO] [TRAIN] epoch=1748, iter=80400/90000, loss=0.4428, lr=0.000007, batch_cost=1.1927, reader_cost=0.23080, ips=6.7077 samples/sec | ETA 03:10:49 2021-04-14 19:48:13 [INFO] [LOSS] loss=0.4428, semantic_loss=0.2681, center_loss=0.0795, offset_loss=0.0952 2021-04-14 19:50:11 [INFO] [TRAIN] epoch=1750, iter=80500/90000, loss=0.4419, lr=0.000007, batch_cost=1.1761, reader_cost=0.21608, ips=6.8022 samples/sec | ETA 03:06:12 2021-04-14 19:50:11 [INFO] [LOSS] loss=0.4419, semantic_loss=0.2704, center_loss=0.0732, offset_loss=0.0984 2021-04-14 19:52:20 [INFO] [TRAIN] epoch=1753, iter=80600/90000, loss=0.4723, lr=0.000007, batch_cost=1.2875, reader_cost=0.31608, ips=6.2138 samples/sec | ETA 03:21:42 2021-04-14 19:52:20 [INFO] [LOSS] loss=0.4723, semantic_loss=0.2804, center_loss=0.0791, offset_loss=0.1128 2021-04-14 19:54:21 [INFO] [TRAIN] epoch=1755, iter=80700/90000, loss=0.4845, lr=0.000006, batch_cost=1.2076, reader_cost=0.25191, ips=6.6247 samples/sec | ETA 03:07:10 2021-04-14 19:54:21 [INFO] [LOSS] loss=0.4845, semantic_loss=0.2825, center_loss=0.0794, offset_loss=0.1227 2021-04-14 19:56:22 [INFO] [TRAIN] epoch=1757, iter=80800/90000, loss=0.4542, lr=0.000006, batch_cost=1.2074, reader_cost=0.24748, ips=6.6259 samples/sec | ETA 03:05:07 2021-04-14 19:56:22 [INFO] [LOSS] loss=0.4542, semantic_loss=0.2701, center_loss=0.0792, offset_loss=0.1050 2021-04-14 19:58:23 [INFO] [TRAIN] epoch=1759, iter=80900/90000, loss=0.4653, lr=0.000006, batch_cost=1.2049, reader_cost=0.24331, ips=6.6393 samples/sec | ETA 03:02:45 2021-04-14 19:58:23 [INFO] [LOSS] loss=0.4653, semantic_loss=0.2716, center_loss=0.0807, offset_loss=0.1130 2021-04-14 20:00:22 [INFO] [TRAIN] epoch=1761, iter=81000/90000, loss=0.4741, lr=0.000006, batch_cost=1.1902, reader_cost=0.20568, ips=6.7214 samples/sec | ETA 02:58:32 2021-04-14 20:00:22 [INFO] [LOSS] loss=0.4741, semantic_loss=0.2780, center_loss=0.0831, offset_loss=0.1130 2021-04-14 20:02:29 [INFO] [TRAIN] epoch=1764, iter=81100/90000, loss=0.4593, lr=0.000006, batch_cost=1.2712, reader_cost=0.30702, ips=6.2934 samples/sec | ETA 03:08:33 2021-04-14 20:02:29 [INFO] [LOSS] loss=0.4593, semantic_loss=0.2659, center_loss=0.0782, offset_loss=0.1153 2021-04-14 20:04:29 [INFO] [TRAIN] epoch=1766, iter=81200/90000, loss=0.4634, lr=0.000006, batch_cost=1.2003, reader_cost=0.23860, ips=6.6647 samples/sec | ETA 02:56:03 2021-04-14 20:04:29 [INFO] [LOSS] loss=0.4634, semantic_loss=0.2836, center_loss=0.0799, offset_loss=0.0999 2021-04-14 20:06:29 [INFO] [TRAIN] epoch=1768, iter=81300/90000, loss=0.4546, lr=0.000006, batch_cost=1.1956, reader_cost=0.23621, ips=6.6914 samples/sec | ETA 02:53:21 2021-04-14 20:06:29 [INFO] [LOSS] loss=0.4546, semantic_loss=0.2763, center_loss=0.0769, offset_loss=0.1014 2021-04-14 20:08:29 [INFO] [TRAIN] epoch=1770, iter=81400/90000, loss=0.4547, lr=0.000006, batch_cost=1.2019, reader_cost=0.22870, ips=6.6559 samples/sec | ETA 02:52:16 2021-04-14 20:08:29 [INFO] [LOSS] loss=0.4547, semantic_loss=0.2747, center_loss=0.0797, offset_loss=0.1003 2021-04-14 20:10:31 [INFO] [TRAIN] epoch=1772, iter=81500/90000, loss=0.4619, lr=0.000006, batch_cost=1.2176, reader_cost=0.24218, ips=6.5705 samples/sec | ETA 02:52:29 2021-04-14 20:10:31 [INFO] [LOSS] loss=0.4619, semantic_loss=0.2782, center_loss=0.0734, offset_loss=0.1103 2021-04-14 20:12:31 [INFO] [TRAIN] epoch=1774, iter=81600/90000, loss=0.4452, lr=0.000006, batch_cost=1.1918, reader_cost=0.23227, ips=6.7124 samples/sec | ETA 02:46:51 2021-04-14 20:12:31 [INFO] [LOSS] loss=0.4452, semantic_loss=0.2693, center_loss=0.0731, offset_loss=0.1028 2021-04-14 20:14:39 [INFO] [TRAIN] epoch=1777, iter=81700/90000, loss=0.4534, lr=0.000006, batch_cost=1.2830, reader_cost=0.33095, ips=6.2355 samples/sec | ETA 02:57:28 2021-04-14 20:14:39 [INFO] [LOSS] loss=0.4534, semantic_loss=0.2760, center_loss=0.0811, offset_loss=0.0962 2021-04-14 20:16:40 [INFO] [TRAIN] epoch=1779, iter=81800/90000, loss=0.4833, lr=0.000006, batch_cost=1.2053, reader_cost=0.24335, ips=6.6373 samples/sec | ETA 02:44:43 2021-04-14 20:16:40 [INFO] [LOSS] loss=0.4833, semantic_loss=0.2829, center_loss=0.0858, offset_loss=0.1146 2021-04-14 20:18:40 [INFO] [TRAIN] epoch=1781, iter=81900/90000, loss=0.4535, lr=0.000006, batch_cost=1.2015, reader_cost=0.22417, ips=6.6583 samples/sec | ETA 02:42:12 2021-04-14 20:18:40 [INFO] [LOSS] loss=0.4535, semantic_loss=0.2701, center_loss=0.0797, offset_loss=0.1037 2021-04-14 20:20:40 [INFO] [TRAIN] epoch=1783, iter=82000/90000, loss=0.4567, lr=0.000006, batch_cost=1.1956, reader_cost=0.21535, ips=6.6915 samples/sec | ETA 02:39:24 2021-04-14 20:20:40 [INFO] [LOSS] loss=0.4567, semantic_loss=0.2778, center_loss=0.0764, offset_loss=0.1025 2021-04-14 20:22:39 [INFO] [TRAIN] epoch=1785, iter=82100/90000, loss=0.4346, lr=0.000006, batch_cost=1.1943, reader_cost=0.22539, ips=6.6983 samples/sec | ETA 02:37:15 2021-04-14 20:22:39 [INFO] [LOSS] loss=0.4346, semantic_loss=0.2748, center_loss=0.0736, offset_loss=0.0862 2021-04-14 20:24:39 [INFO] [TRAIN] epoch=1787, iter=82200/90000, loss=0.4423, lr=0.000006, batch_cost=1.1935, reader_cost=0.24068, ips=6.7032 samples/sec | ETA 02:35:08 2021-04-14 20:24:39 [INFO] [LOSS] loss=0.4423, semantic_loss=0.2677, center_loss=0.0745, offset_loss=0.1001 2021-04-14 20:26:48 [INFO] [TRAIN] epoch=1790, iter=82300/90000, loss=0.4981, lr=0.000005, batch_cost=1.2860, reader_cost=0.31942, ips=6.2207 samples/sec | ETA 02:45:02 2021-04-14 20:26:48 [INFO] [LOSS] loss=0.4981, semantic_loss=0.2855, center_loss=0.0811, offset_loss=0.1316 2021-04-14 20:28:47 [INFO] [TRAIN] epoch=1792, iter=82400/90000, loss=0.4780, lr=0.000005, batch_cost=1.1974, reader_cost=0.23537, ips=6.6813 samples/sec | ETA 02:31:40 2021-04-14 20:28:47 [INFO] [LOSS] loss=0.4780, semantic_loss=0.2823, center_loss=0.0819, offset_loss=0.1138 2021-04-14 20:30:48 [INFO] [TRAIN] epoch=1794, iter=82500/90000, loss=0.4707, lr=0.000005, batch_cost=1.1994, reader_cost=0.22947, ips=6.6701 samples/sec | ETA 02:29:55 2021-04-14 20:30:48 [INFO] [LOSS] loss=0.4707, semantic_loss=0.2774, center_loss=0.0787, offset_loss=0.1146 2021-04-14 20:32:47 [INFO] [TRAIN] epoch=1796, iter=82600/90000, loss=0.4396, lr=0.000005, batch_cost=1.1906, reader_cost=0.22308, ips=6.7196 samples/sec | ETA 02:26:50 2021-04-14 20:32:47 [INFO] [LOSS] loss=0.4396, semantic_loss=0.2714, center_loss=0.0739, offset_loss=0.0942 2021-04-14 20:34:47 [INFO] [TRAIN] epoch=1798, iter=82700/90000, loss=0.4579, lr=0.000005, batch_cost=1.1971, reader_cost=0.22681, ips=6.6830 samples/sec | ETA 02:25:38 2021-04-14 20:34:47 [INFO] [LOSS] loss=0.4579, semantic_loss=0.2772, center_loss=0.0752, offset_loss=0.1055 2021-04-14 20:36:46 [INFO] [TRAIN] epoch=1800, iter=82800/90000, loss=0.4402, lr=0.000005, batch_cost=1.1944, reader_cost=0.25352, ips=6.6981 samples/sec | ETA 02:23:19 2021-04-14 20:36:46 [INFO] [LOSS] loss=0.4402, semantic_loss=0.2678, center_loss=0.0730, offset_loss=0.0994 2021-04-14 20:38:56 [INFO] [TRAIN] epoch=1803, iter=82900/90000, loss=0.4806, lr=0.000005, batch_cost=1.2963, reader_cost=0.33652, ips=6.1712 samples/sec | ETA 02:33:23 2021-04-14 20:38:56 [INFO] [LOSS] loss=0.4806, semantic_loss=0.2850, center_loss=0.0822, offset_loss=0.1135 2021-04-14 20:40:57 [INFO] [TRAIN] epoch=1805, iter=83000/90000, loss=0.4883, lr=0.000005, batch_cost=1.2064, reader_cost=0.25122, ips=6.6313 samples/sec | ETA 02:20:44 2021-04-14 20:40:57 [INFO] [LOSS] loss=0.4883, semantic_loss=0.2897, center_loss=0.0817, offset_loss=0.1168 2021-04-14 20:42:57 [INFO] [TRAIN] epoch=1807, iter=83100/90000, loss=0.4643, lr=0.000005, batch_cost=1.2052, reader_cost=0.24762, ips=6.6380 samples/sec | ETA 02:18:35 2021-04-14 20:42:57 [INFO] [LOSS] loss=0.4643, semantic_loss=0.2713, center_loss=0.0761, offset_loss=0.1168 2021-04-14 20:44:57 [INFO] [TRAIN] epoch=1809, iter=83200/90000, loss=0.4623, lr=0.000005, batch_cost=1.1950, reader_cost=0.23967, ips=6.6947 samples/sec | ETA 02:15:25 2021-04-14 20:44:57 [INFO] [LOSS] loss=0.4623, semantic_loss=0.2722, center_loss=0.0782, offset_loss=0.1120 2021-04-14 20:46:57 [INFO] [TRAIN] epoch=1811, iter=83300/90000, loss=0.4552, lr=0.000005, batch_cost=1.2002, reader_cost=0.24696, ips=6.6657 samples/sec | ETA 02:14:01 2021-04-14 20:46:57 [INFO] [LOSS] loss=0.4552, semantic_loss=0.2719, center_loss=0.0780, offset_loss=0.1053 2021-04-14 20:49:05 [INFO] [TRAIN] epoch=1814, iter=83400/90000, loss=0.4364, lr=0.000005, batch_cost=1.2799, reader_cost=0.32840, ips=6.2505 samples/sec | ETA 02:20:47 2021-04-14 20:49:05 [INFO] [LOSS] loss=0.4364, semantic_loss=0.2727, center_loss=0.0723, offset_loss=0.0913 2021-04-14 20:51:07 [INFO] [TRAIN] epoch=1816, iter=83500/90000, loss=0.4470, lr=0.000005, batch_cost=1.2106, reader_cost=0.24857, ips=6.6080 samples/sec | ETA 02:11:09 2021-04-14 20:51:07 [INFO] [LOSS] loss=0.4470, semantic_loss=0.2665, center_loss=0.0742, offset_loss=0.1063 2021-04-14 20:53:07 [INFO] [TRAIN] epoch=1818, iter=83600/90000, loss=0.4519, lr=0.000005, batch_cost=1.2040, reader_cost=0.24179, ips=6.6447 samples/sec | ETA 02:08:25 2021-04-14 20:53:07 [INFO] [LOSS] loss=0.4519, semantic_loss=0.2801, center_loss=0.0746, offset_loss=0.0972 2021-04-14 20:55:06 [INFO] [TRAIN] epoch=1820, iter=83700/90000, loss=0.4575, lr=0.000005, batch_cost=1.1891, reader_cost=0.21174, ips=6.7277 samples/sec | ETA 02:04:51 2021-04-14 20:55:06 [INFO] [LOSS] loss=0.4575, semantic_loss=0.2804, center_loss=0.0780, offset_loss=0.0992 2021-04-14 20:57:06 [INFO] [TRAIN] epoch=1822, iter=83800/90000, loss=0.4462, lr=0.000005, batch_cost=1.1958, reader_cost=0.21927, ips=6.6900 samples/sec | ETA 02:03:33 2021-04-14 20:57:06 [INFO] [LOSS] loss=0.4462, semantic_loss=0.2812, center_loss=0.0702, offset_loss=0.0948 2021-04-14 20:59:05 [INFO] [TRAIN] epoch=1824, iter=83900/90000, loss=0.4413, lr=0.000004, batch_cost=1.1903, reader_cost=0.22973, ips=6.7207 samples/sec | ETA 02:01:01 2021-04-14 20:59:05 [INFO] [LOSS] loss=0.4413, semantic_loss=0.2653, center_loss=0.0753, offset_loss=0.1008 2021-04-14 21:01:12 [INFO] [TRAIN] epoch=1827, iter=84000/90000, loss=0.4522, lr=0.000004, batch_cost=1.2692, reader_cost=0.31006, ips=6.3032 samples/sec | ETA 02:06:55 2021-04-14 21:01:12 [INFO] [LOSS] loss=0.4522, semantic_loss=0.2746, center_loss=0.0771, offset_loss=0.1005 2021-04-14 21:03:13 [INFO] [TRAIN] epoch=1829, iter=84100/90000, loss=0.4764, lr=0.000004, batch_cost=1.2123, reader_cost=0.24858, ips=6.5990 samples/sec | ETA 01:59:12 2021-04-14 21:03:13 [INFO] [LOSS] loss=0.4764, semantic_loss=0.2783, center_loss=0.0860, offset_loss=0.1121 2021-04-14 21:05:13 [INFO] [TRAIN] epoch=1831, iter=84200/90000, loss=0.4596, lr=0.000004, batch_cost=1.1980, reader_cost=0.22832, ips=6.6777 samples/sec | ETA 01:55:48 2021-04-14 21:05:13 [INFO] [LOSS] loss=0.4596, semantic_loss=0.2760, center_loss=0.0750, offset_loss=0.1086 2021-04-14 21:07:13 [INFO] [TRAIN] epoch=1833, iter=84300/90000, loss=0.4504, lr=0.000004, batch_cost=1.1975, reader_cost=0.23253, ips=6.6805 samples/sec | ETA 01:53:45 2021-04-14 21:07:13 [INFO] [LOSS] loss=0.4504, semantic_loss=0.2695, center_loss=0.0734, offset_loss=0.1075 2021-04-14 21:09:14 [INFO] [TRAIN] epoch=1835, iter=84400/90000, loss=0.4493, lr=0.000004, batch_cost=1.2047, reader_cost=0.24652, ips=6.6404 samples/sec | ETA 01:52:26 2021-04-14 21:09:14 [INFO] [LOSS] loss=0.4493, semantic_loss=0.2801, center_loss=0.0770, offset_loss=0.0923 2021-04-14 21:11:13 [INFO] [TRAIN] epoch=1837, iter=84500/90000, loss=0.4569, lr=0.000004, batch_cost=1.1921, reader_cost=0.22084, ips=6.7107 samples/sec | ETA 01:49:16 2021-04-14 21:11:13 [INFO] [LOSS] loss=0.4569, semantic_loss=0.2633, center_loss=0.0808, offset_loss=0.1128 2021-04-14 21:13:23 [INFO] [TRAIN] epoch=1840, iter=84600/90000, loss=0.4487, lr=0.000004, batch_cost=1.2935, reader_cost=0.33785, ips=6.1848 samples/sec | ETA 01:56:24 2021-04-14 21:13:23 [INFO] [LOSS] loss=0.4487, semantic_loss=0.2796, center_loss=0.0743, offset_loss=0.0948 2021-04-14 21:15:23 [INFO] [TRAIN] epoch=1842, iter=84700/90000, loss=0.4831, lr=0.000004, batch_cost=1.2015, reader_cost=0.23486, ips=6.6583 samples/sec | ETA 01:46:07 2021-04-14 21:15:23 [INFO] [LOSS] loss=0.4831, semantic_loss=0.2835, center_loss=0.0827, offset_loss=0.1169 2021-04-14 21:17:24 [INFO] [TRAIN] epoch=1844, iter=84800/90000, loss=0.4629, lr=0.000004, batch_cost=1.2038, reader_cost=0.24392, ips=6.6457 samples/sec | ETA 01:44:19 2021-04-14 21:17:24 [INFO] [LOSS] loss=0.4629, semantic_loss=0.2785, center_loss=0.0788, offset_loss=0.1057 2021-04-14 21:19:24 [INFO] [TRAIN] epoch=1846, iter=84900/90000, loss=0.4456, lr=0.000004, batch_cost=1.2046, reader_cost=0.23811, ips=6.6413 samples/sec | ETA 01:42:23 2021-04-14 21:19:24 [INFO] [LOSS] loss=0.4456, semantic_loss=0.2729, center_loss=0.0771, offset_loss=0.0956 2021-04-14 21:21:24 [INFO] [TRAIN] epoch=1848, iter=85000/90000, loss=0.4424, lr=0.000004, batch_cost=1.1940, reader_cost=0.21088, ips=6.7000 samples/sec | ETA 01:39:30 2021-04-14 21:21:24 [INFO] [LOSS] loss=0.4424, semantic_loss=0.2699, center_loss=0.0742, offset_loss=0.0984 2021-04-14 21:23:31 [INFO] [TRAIN] epoch=1850, iter=85100/90000, loss=0.4692, lr=0.000004, batch_cost=1.1836, reader_cost=0.23635, ips=6.7589 samples/sec | ETA 01:36:39 2021-04-14 21:23:31 [INFO] [LOSS] loss=0.4692, semantic_loss=0.2734, center_loss=0.0769, offset_loss=0.1188 2021-04-14 21:25:40 [INFO] [TRAIN] epoch=1853, iter=85200/90000, loss=0.4397, lr=0.000004, batch_cost=1.2913, reader_cost=0.33283, ips=6.1953 samples/sec | ETA 01:43:18 2021-04-14 21:25:40 [INFO] [LOSS] loss=0.4397, semantic_loss=0.2729, center_loss=0.0759, offset_loss=0.0908 2021-04-14 21:27:40 [INFO] [TRAIN] epoch=1855, iter=85300/90000, loss=0.4509, lr=0.000004, batch_cost=1.1968, reader_cost=0.21682, ips=6.6845 samples/sec | ETA 01:33:44 2021-04-14 21:27:40 [INFO] [LOSS] loss=0.4509, semantic_loss=0.2804, center_loss=0.0732, offset_loss=0.0974 2021-04-14 21:29:39 [INFO] [TRAIN] epoch=1857, iter=85400/90000, loss=0.4591, lr=0.000003, batch_cost=1.1920, reader_cost=0.23733, ips=6.7112 samples/sec | ETA 01:31:23 2021-04-14 21:29:39 [INFO] [LOSS] loss=0.4591, semantic_loss=0.2692, center_loss=0.0807, offset_loss=0.1093 2021-04-14 21:31:40 [INFO] [TRAIN] epoch=1859, iter=85500/90000, loss=0.4482, lr=0.000003, batch_cost=1.2027, reader_cost=0.23743, ips=6.6516 samples/sec | ETA 01:30:12 2021-04-14 21:31:40 [INFO] [LOSS] loss=0.4482, semantic_loss=0.2770, center_loss=0.0793, offset_loss=0.0918 2021-04-14 21:33:40 [INFO] [TRAIN] epoch=1861, iter=85600/90000, loss=0.4538, lr=0.000003, batch_cost=1.1962, reader_cost=0.23812, ips=6.6880 samples/sec | ETA 01:27:43 2021-04-14 21:33:40 [INFO] [LOSS] loss=0.4538, semantic_loss=0.2837, center_loss=0.0755, offset_loss=0.0946 2021-04-14 21:35:47 [INFO] [TRAIN] epoch=1864, iter=85700/90000, loss=0.4584, lr=0.000003, batch_cost=1.2740, reader_cost=0.32848, ips=6.2795 samples/sec | ETA 01:31:18 2021-04-14 21:35:47 [INFO] [LOSS] loss=0.4584, semantic_loss=0.2680, center_loss=0.0792, offset_loss=0.1111 2021-04-14 21:37:48 [INFO] [TRAIN] epoch=1866, iter=85800/90000, loss=0.4582, lr=0.000003, batch_cost=1.2083, reader_cost=0.23424, ips=6.6211 samples/sec | ETA 01:24:34 2021-04-14 21:37:48 [INFO] [LOSS] loss=0.4582, semantic_loss=0.2834, center_loss=0.0753, offset_loss=0.0994 2021-04-14 21:39:49 [INFO] [TRAIN] epoch=1868, iter=85900/90000, loss=0.4702, lr=0.000003, batch_cost=1.2025, reader_cost=0.21791, ips=6.6526 samples/sec | ETA 01:22:10 2021-04-14 21:39:49 [INFO] [LOSS] loss=0.4702, semantic_loss=0.2811, center_loss=0.0803, offset_loss=0.1088 2021-04-14 21:41:49 [INFO] [TRAIN] epoch=1870, iter=86000/90000, loss=0.4320, lr=0.000003, batch_cost=1.2069, reader_cost=0.24625, ips=6.6286 samples/sec | ETA 01:20:27 2021-04-14 21:41:49 [INFO] [LOSS] loss=0.4320, semantic_loss=0.2681, center_loss=0.0750, offset_loss=0.0888 2021-04-14 21:43:49 [INFO] [TRAIN] epoch=1872, iter=86100/90000, loss=0.4629, lr=0.000003, batch_cost=1.1944, reader_cost=0.20754, ips=6.6979 samples/sec | ETA 01:17:38 2021-04-14 21:43:49 [INFO] [LOSS] loss=0.4629, semantic_loss=0.2737, center_loss=0.0740, offset_loss=0.1152 2021-04-14 21:45:50 [INFO] [TRAIN] epoch=1874, iter=86200/90000, loss=0.4522, lr=0.000003, batch_cost=1.2031, reader_cost=0.25659, ips=6.6496 samples/sec | ETA 01:16:11 2021-04-14 21:45:50 [INFO] [LOSS] loss=0.4522, semantic_loss=0.2732, center_loss=0.0765, offset_loss=0.1026 2021-04-14 21:47:58 [INFO] [TRAIN] epoch=1877, iter=86300/90000, loss=0.4528, lr=0.000003, batch_cost=1.2814, reader_cost=0.32059, ips=6.2431 samples/sec | ETA 01:19:01 2021-04-14 21:47:58 [INFO] [LOSS] loss=0.4528, semantic_loss=0.2722, center_loss=0.0742, offset_loss=0.1064 2021-04-14 21:49:57 [INFO] [TRAIN] epoch=1879, iter=86400/90000, loss=0.4651, lr=0.000003, batch_cost=1.1913, reader_cost=0.22375, ips=6.7156 samples/sec | ETA 01:11:28 2021-04-14 21:49:57 [INFO] [LOSS] loss=0.4651, semantic_loss=0.2792, center_loss=0.0782, offset_loss=0.1077 2021-04-14 21:51:57 [INFO] [TRAIN] epoch=1881, iter=86500/90000, loss=0.4347, lr=0.000003, batch_cost=1.1971, reader_cost=0.23594, ips=6.6827 samples/sec | ETA 01:09:49 2021-04-14 21:51:57 [INFO] [LOSS] loss=0.4347, semantic_loss=0.2715, center_loss=0.0717, offset_loss=0.0915 2021-04-14 21:53:57 [INFO] [TRAIN] epoch=1883, iter=86600/90000, loss=0.4668, lr=0.000003, batch_cost=1.1973, reader_cost=0.24500, ips=6.6818 samples/sec | ETA 01:07:50 2021-04-14 21:53:57 [INFO] [LOSS] loss=0.4668, semantic_loss=0.2867, center_loss=0.0785, offset_loss=0.1017 2021-04-14 21:55:57 [INFO] [TRAIN] epoch=1885, iter=86700/90000, loss=0.4249, lr=0.000003, batch_cost=1.1985, reader_cost=0.21642, ips=6.6749 samples/sec | ETA 01:05:55 2021-04-14 21:55:57 [INFO] [LOSS] loss=0.4249, semantic_loss=0.2706, center_loss=0.0713, offset_loss=0.0831 2021-04-14 21:57:56 [INFO] [TRAIN] epoch=1887, iter=86800/90000, loss=0.4476, lr=0.000002, batch_cost=1.1875, reader_cost=0.22388, ips=6.7367 samples/sec | ETA 01:03:20 2021-04-14 21:57:56 [INFO] [LOSS] loss=0.4476, semantic_loss=0.2704, center_loss=0.0729, offset_loss=0.1043 2021-04-14 22:00:04 [INFO] [TRAIN] epoch=1890, iter=86900/90000, loss=0.4623, lr=0.000002, batch_cost=1.2844, reader_cost=0.32407, ips=6.2288 samples/sec | ETA 01:06:21 2021-04-14 22:00:04 [INFO] [LOSS] loss=0.4623, semantic_loss=0.2813, center_loss=0.0790, offset_loss=0.1020 2021-04-14 22:02:04 [INFO] [TRAIN] epoch=1892, iter=87000/90000, loss=0.4517, lr=0.000002, batch_cost=1.1906, reader_cost=0.20765, ips=6.7196 samples/sec | ETA 00:59:31 2021-04-14 22:02:04 [INFO] [LOSS] loss=0.4517, semantic_loss=0.2755, center_loss=0.0757, offset_loss=0.1005 2021-04-14 22:04:03 [INFO] [TRAIN] epoch=1894, iter=87100/90000, loss=0.4777, lr=0.000002, batch_cost=1.1977, reader_cost=0.22614, ips=6.6793 samples/sec | ETA 00:57:53 2021-04-14 22:04:03 [INFO] [LOSS] loss=0.4777, semantic_loss=0.2721, center_loss=0.0809, offset_loss=0.1247 2021-04-14 22:06:03 [INFO] [TRAIN] epoch=1896, iter=87200/90000, loss=0.4517, lr=0.000002, batch_cost=1.1941, reader_cost=0.22205, ips=6.6993 samples/sec | ETA 00:55:43 2021-04-14 22:06:03 [INFO] [LOSS] loss=0.4517, semantic_loss=0.2798, center_loss=0.0742, offset_loss=0.0977 2021-04-14 22:08:04 [INFO] [TRAIN] epoch=1898, iter=87300/90000, loss=0.4467, lr=0.000002, batch_cost=1.2097, reader_cost=0.22942, ips=6.6131 samples/sec | ETA 00:54:26 2021-04-14 22:08:04 [INFO] [LOSS] loss=0.4467, semantic_loss=0.2738, center_loss=0.0722, offset_loss=0.1007 2021-04-14 22:10:03 [INFO] [TRAIN] epoch=1900, iter=87400/90000, loss=0.4585, lr=0.000002, batch_cost=1.1852, reader_cost=0.23993, ips=6.7497 samples/sec | ETA 00:51:21 2021-04-14 22:10:03 [INFO] [LOSS] loss=0.4585, semantic_loss=0.2757, center_loss=0.0750, offset_loss=0.1078 2021-04-14 22:12:13 [INFO] [TRAIN] epoch=1903, iter=87500/90000, loss=0.4513, lr=0.000002, batch_cost=1.3004, reader_cost=0.34497, ips=6.1520 samples/sec | ETA 00:54:10 2021-04-14 22:12:13 [INFO] [LOSS] loss=0.4513, semantic_loss=0.2698, center_loss=0.0769, offset_loss=0.1046 2021-04-14 22:14:14 [INFO] [TRAIN] epoch=1905, iter=87600/90000, loss=0.4524, lr=0.000002, batch_cost=1.2106, reader_cost=0.24931, ips=6.6082 samples/sec | ETA 00:48:25 2021-04-14 22:14:14 [INFO] [LOSS] loss=0.4524, semantic_loss=0.2698, center_loss=0.0737, offset_loss=0.1089 2021-04-14 22:16:13 [INFO] [TRAIN] epoch=1907, iter=87700/90000, loss=0.4546, lr=0.000002, batch_cost=1.1836, reader_cost=0.21871, ips=6.7588 samples/sec | ETA 00:45:22 2021-04-14 22:16:13 [INFO] [LOSS] loss=0.4546, semantic_loss=0.2715, center_loss=0.0719, offset_loss=0.1112 2021-04-14 22:18:13 [INFO] [TRAIN] epoch=1909, iter=87800/90000, loss=0.4691, lr=0.000002, batch_cost=1.2012, reader_cost=0.22989, ips=6.6601 samples/sec | ETA 00:44:02 2021-04-14 22:18:13 [INFO] [LOSS] loss=0.4691, semantic_loss=0.2787, center_loss=0.0805, offset_loss=0.1099 2021-04-14 22:20:13 [INFO] [TRAIN] epoch=1911, iter=87900/90000, loss=0.4692, lr=0.000002, batch_cost=1.1991, reader_cost=0.23851, ips=6.6716 samples/sec | ETA 00:41:58 2021-04-14 22:20:13 [INFO] [LOSS] loss=0.4692, semantic_loss=0.2782, center_loss=0.0798, offset_loss=0.1112 2021-04-14 22:22:20 [INFO] [TRAIN] epoch=1914, iter=88000/90000, loss=0.4526, lr=0.000002, batch_cost=1.2654, reader_cost=0.31947, ips=6.3219 samples/sec | ETA 00:42:10 2021-04-14 22:22:20 [INFO] [LOSS] loss=0.4526, semantic_loss=0.2686, center_loss=0.0786, offset_loss=0.1054 2021-04-14 22:24:20 [INFO] [TRAIN] epoch=1916, iter=88100/90000, loss=0.4423, lr=0.000002, batch_cost=1.2015, reader_cost=0.23929, ips=6.6582 samples/sec | ETA 00:38:02 2021-04-14 22:24:20 [INFO] [LOSS] loss=0.4423, semantic_loss=0.2798, center_loss=0.0711, offset_loss=0.0914 2021-04-14 22:26:22 [INFO] [TRAIN] epoch=1918, iter=88200/90000, loss=0.4292, lr=0.000001, batch_cost=1.2135, reader_cost=0.25697, ips=6.5922 samples/sec | ETA 00:36:24 2021-04-14 22:26:22 [INFO] [LOSS] loss=0.4292, semantic_loss=0.2721, center_loss=0.0681, offset_loss=0.0891 2021-04-14 22:28:21 [INFO] [TRAIN] epoch=1920, iter=88300/90000, loss=0.4324, lr=0.000001, batch_cost=1.1933, reader_cost=0.22702, ips=6.7043 samples/sec | ETA 00:33:48 2021-04-14 22:28:21 [INFO] [LOSS] loss=0.4324, semantic_loss=0.2723, center_loss=0.0713, offset_loss=0.0889 2021-04-14 22:30:22 [INFO] [TRAIN] epoch=1922, iter=88400/90000, loss=0.4497, lr=0.000001, batch_cost=1.2070, reader_cost=0.21987, ips=6.6280 samples/sec | ETA 00:32:11 2021-04-14 22:30:22 [INFO] [LOSS] loss=0.4497, semantic_loss=0.2753, center_loss=0.0758, offset_loss=0.0986 2021-04-14 22:32:21 [INFO] [TRAIN] epoch=1924, iter=88500/90000, loss=0.4437, lr=0.000001, batch_cost=1.1900, reader_cost=0.23263, ips=6.7227 samples/sec | ETA 00:29:44 2021-04-14 22:32:21 [INFO] [LOSS] loss=0.4437, semantic_loss=0.2694, center_loss=0.0721, offset_loss=0.1022 2021-04-14 22:34:28 [INFO] [TRAIN] epoch=1927, iter=88600/90000, loss=0.4696, lr=0.000001, batch_cost=1.2724, reader_cost=0.31264, ips=6.2872 samples/sec | ETA 00:29:41 2021-04-14 22:34:28 [INFO] [LOSS] loss=0.4696, semantic_loss=0.2775, center_loss=0.0811, offset_loss=0.1110 2021-04-14 22:36:30 [INFO] [TRAIN] epoch=1929, iter=88700/90000, loss=0.4421, lr=0.000001, batch_cost=1.2172, reader_cost=0.26581, ips=6.5723 samples/sec | ETA 00:26:22 2021-04-14 22:36:30 [INFO] [LOSS] loss=0.4421, semantic_loss=0.2626, center_loss=0.0760, offset_loss=0.1035 2021-04-14 22:38:30 [INFO] [TRAIN] epoch=1931, iter=88800/90000, loss=0.4731, lr=0.000001, batch_cost=1.2007, reader_cost=0.23669, ips=6.6630 samples/sec | ETA 00:24:00 2021-04-14 22:38:30 [INFO] [LOSS] loss=0.4731, semantic_loss=0.2761, center_loss=0.0796, offset_loss=0.1174 2021-04-14 22:40:31 [INFO] [TRAIN] epoch=1933, iter=88900/90000, loss=0.4436, lr=0.000001, batch_cost=1.2061, reader_cost=0.24999, ips=6.6329 samples/sec | ETA 00:22:06 2021-04-14 22:40:31 [INFO] [LOSS] loss=0.4436, semantic_loss=0.2727, center_loss=0.0747, offset_loss=0.0962 2021-04-14 22:42:31 [INFO] [TRAIN] epoch=1935, iter=89000/90000, loss=0.4558, lr=0.000001, batch_cost=1.1934, reader_cost=0.22680, ips=6.7038 samples/sec | ETA 00:19:53 2021-04-14 22:42:31 [INFO] [LOSS] loss=0.4558, semantic_loss=0.2783, center_loss=0.0744, offset_loss=0.1031 2021-04-14 22:44:30 [INFO] [TRAIN] epoch=1937, iter=89100/90000, loss=0.4332, lr=0.000001, batch_cost=1.1855, reader_cost=0.24208, ips=6.7481 samples/sec | ETA 00:17:46 2021-04-14 22:44:30 [INFO] [LOSS] loss=0.4332, semantic_loss=0.2627, center_loss=0.0716, offset_loss=0.0989 2021-04-14 22:46:38 [INFO] [TRAIN] epoch=1940, iter=89200/90000, loss=0.4494, lr=0.000001, batch_cost=1.2814, reader_cost=0.31916, ips=6.2431 samples/sec | ETA 00:17:05 2021-04-14 22:46:38 [INFO] [LOSS] loss=0.4494, semantic_loss=0.2734, center_loss=0.0756, offset_loss=0.1003 2021-04-14 22:48:37 [INFO] [TRAIN] epoch=1942, iter=89300/90000, loss=0.4525, lr=0.000001, batch_cost=1.1893, reader_cost=0.20824, ips=6.7265 samples/sec | ETA 00:13:52 2021-04-14 22:48:37 [INFO] [LOSS] loss=0.4525, semantic_loss=0.2701, center_loss=0.0752, offset_loss=0.1072 2021-04-14 22:50:37 [INFO] [TRAIN] epoch=1944, iter=89400/90000, loss=0.4604, lr=0.000001, batch_cost=1.1968, reader_cost=0.23168, ips=6.6843 samples/sec | ETA 00:11:58 2021-04-14 22:50:37 [INFO] [LOSS] loss=0.4604, semantic_loss=0.2747, center_loss=0.0752, offset_loss=0.1105 2021-04-14 22:52:38 [INFO] [TRAIN] epoch=1946, iter=89500/90000, loss=0.4506, lr=0.000000, batch_cost=1.2091, reader_cost=0.24389, ips=6.6166 samples/sec | ETA 00:10:04 2021-04-14 22:52:38 [INFO] [LOSS] loss=0.4506, semantic_loss=0.2762, center_loss=0.0753, offset_loss=0.0991 2021-04-14 22:54:37 [INFO] [TRAIN] epoch=1948, iter=89600/90000, loss=0.4369, lr=0.000000, batch_cost=1.1895, reader_cost=0.21899, ips=6.7253 samples/sec | ETA 00:07:55 2021-04-14 22:54:37 [INFO] [LOSS] loss=0.4369, semantic_loss=0.2680, center_loss=0.0743, offset_loss=0.0947 2021-04-14 22:56:35 [INFO] [TRAIN] epoch=1950, iter=89700/90000, loss=0.4792, lr=0.000000, batch_cost=1.1837, reader_cost=0.23477, ips=6.7583 samples/sec | ETA 00:05:55 2021-04-14 22:56:35 [INFO] [LOSS] loss=0.4792, semantic_loss=0.2777, center_loss=0.0813, offset_loss=0.1202 2021-04-14 22:58:45 [INFO] [TRAIN] epoch=1953, iter=89800/90000, loss=0.4587, lr=0.000000, batch_cost=1.2913, reader_cost=0.33535, ips=6.1951 samples/sec | ETA 00:04:18 2021-04-14 22:58:45 [INFO] [LOSS] loss=0.4587, semantic_loss=0.2739, center_loss=0.0846, offset_loss=0.1002 2021-04-14 23:00:45 [INFO] [TRAIN] epoch=1955, iter=89900/90000, loss=0.4514, lr=0.000000, batch_cost=1.2051, reader_cost=0.25230, ips=6.6386 samples/sec | ETA 00:02:00 2021-04-14 23:00:45 [INFO] [LOSS] loss=0.4514, semantic_loss=0.2703, center_loss=0.0744, offset_loss=0.1067 2021-04-14 23:02:46 [INFO] [TRAIN] epoch=1957, iter=90000/90000, loss=0.4377, lr=0.000000, batch_cost=1.2005, reader_cost=0.24457, ips=6.6640 samples/sec | ETA 00:00:00 2021-04-14 23:02:46 [INFO] [LOSS] loss=0.4377, semantic_loss=0.2717, center_loss=0.0738, offset_loss=0.0922 's flops has been counted 's flops has been counted Customize Function has been applied to 's flops has been counted Cannot find suitable count function for . Treat it as zero FLOPs. Cannot find suitable count function for . Treat it as zero FLOPs. 's flops has been counted 's flops has been counted /ssd1/home/chenguowei01/anaconda3/envs/paddle/lib/python3.7/site-packages/paddle/fluid/dygraph/math_op_patch.py:238: UserWarning: The dtype of left and right variables are not the same, left dtype is VarType.FP32, but right dtype is VarType.INT32, the right dtype will convert to VarType.FP32 format(lhs_dtype, rhs_dtype, lhs_dtype)) Total Flops: 73233039360 Total Params: 55396390