----------- 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_2049x1025_bs1_90k_lr00005.yml', '--save_interval', '5000', '--save_dir', 'examples/panoptic_deeplab/output/panoptic_deeplab_resnet50_os32_cityscapes_2049x1025_bs1_90k_lr00005', '--num_workers', '4', '--log_iters', '100', '--use_vdl'] worker_num: None workers: ------------------------------------------------ 2021-04-18 21:56:27 [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 ------------------------------------------------ 2021-04-18 21:56:29 [INFO] ---------------Config Information--------------- batch_size: 1 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: - 2049 - 1025 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 ------------------------------------------------ W0418 21:56:31.107620 3215 device_context.cc:362] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.2, Runtime API Version: 10.1 W0418 21:56:31.107687 3215 device_context.cc:372] device: 0, cuDNN Version: 7.6. 2021-04-18 21:56:35 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz 2021-04-18 21:56:35,929 - INFO - Lock 140107478718352 acquired on /ssd1/home/chenguowei01/.paddleseg/tmp/resnet50_vd_ssld_v2 2021-04-18 21:56:35,930 - INFO - Lock 140107478718352 released on /ssd1/home/chenguowei01/.paddleseg/tmp/resnet50_vd_ssld_v2 2021-04-18 21:56:36 [INFO] There are 275/275 variables loaded into ResNet_vd. W0418 21:56:38.520972 3215 nccl_context.cc:142] Socket connect worker 127.0.0.1:59268 failed, try again after 3 seconds. I0418 21:56:41.521461 3215 nccl_context.cc:189] init nccl context nranks: 8 local rank: 0 gpu id: 0 ring id: 0 2021-04-18 21:57:44 [INFO] [TRAIN] epoch=1, iter=100/90000, loss=23.5402, lr=0.000050, batch_cost=0.5395, reader_cost=0.02540, ips=1.8536 samples/sec | ETA 13:28:19 2021-04-18 21:57:44 [INFO] [LOSS] loss=23.5402, semantic_loss=2.9993, center_loss=13.8492, offset_loss=6.6917 2021-04-18 21:58:34 [INFO] [TRAIN] epoch=1, iter=200/90000, loss=11.5987, lr=0.000050, batch_cost=0.4995, reader_cost=0.00033, ips=2.0020 samples/sec | ETA 12:27:34 2021-04-18 21:58:34 [INFO] [LOSS] loss=11.5987, semantic_loss=2.2914, center_loss=3.4598, offset_loss=5.8475 2021-04-18 21:59:24 [INFO] [TRAIN] epoch=1, iter=300/90000, loss=9.4019, lr=0.000050, batch_cost=0.4998, reader_cost=0.00067, ips=2.0008 samples/sec | ETA 12:27:13 2021-04-18 21:59:24 [INFO] [LOSS] loss=9.4019, semantic_loss=1.8486, center_loss=1.5173, offset_loss=6.0360 2021-04-18 22:00:17 [INFO] [TRAIN] epoch=2, iter=400/90000, loss=9.3803, lr=0.000050, batch_cost=0.5332, reader_cost=0.03463, ips=1.8754 samples/sec | ETA 13:16:17 2021-04-18 22:00:17 [INFO] [LOSS] loss=9.3803, semantic_loss=1.6824, center_loss=0.9209, offset_loss=6.7771 2021-04-18 22:01:07 [INFO] [TRAIN] epoch=2, iter=500/90000, loss=7.3986, lr=0.000050, batch_cost=0.4925, reader_cost=0.00103, ips=2.0305 samples/sec | ETA 12:14:37 2021-04-18 22:01:07 [INFO] [LOSS] loss=7.3986, semantic_loss=1.5023, center_loss=0.8270, offset_loss=5.0693 2021-04-18 22:01:57 [INFO] [TRAIN] epoch=2, iter=600/90000, loss=7.3716, lr=0.000050, batch_cost=0.4952, reader_cost=0.00064, ips=2.0193 samples/sec | ETA 12:17:52 2021-04-18 22:01:57 [INFO] [LOSS] loss=7.3716, semantic_loss=1.3241, center_loss=1.2208, offset_loss=4.8268 2021-04-18 22:02:46 [INFO] [TRAIN] epoch=2, iter=700/90000, loss=7.3846, lr=0.000050, batch_cost=0.4966, reader_cost=0.00092, ips=2.0139 samples/sec | ETA 12:19:02 2021-04-18 22:02:46 [INFO] [LOSS] loss=7.3846, semantic_loss=1.3367, center_loss=0.6513, offset_loss=5.3966 2021-04-18 22:03:39 [INFO] [TRAIN] epoch=3, iter=800/90000, loss=6.6924, lr=0.000050, batch_cost=0.5235, reader_cost=0.03488, ips=1.9104 samples/sec | ETA 12:58:12 2021-04-18 22:03:39 [INFO] [LOSS] loss=6.6924, semantic_loss=1.3234, center_loss=0.6389, offset_loss=4.7301 2021-04-18 22:04:28 [INFO] [TRAIN] epoch=3, iter=900/90000, loss=5.6565, lr=0.000050, batch_cost=0.4911, reader_cost=0.00080, ips=2.0364 samples/sec | ETA 12:09:14 2021-04-18 22:04:28 [INFO] [LOSS] loss=5.6565, semantic_loss=1.2063, center_loss=0.7264, offset_loss=3.7237 2021-04-18 22:05:18 [INFO] [TRAIN] epoch=3, iter=1000/90000, loss=6.0892, lr=0.000050, batch_cost=0.4951, reader_cost=0.00056, ips=2.0197 samples/sec | ETA 12:14:25 2021-04-18 22:05:18 [INFO] [LOSS] loss=6.0892, semantic_loss=1.0495, center_loss=0.8155, offset_loss=4.2243 2021-04-18 22:06:08 [INFO] [TRAIN] epoch=3, iter=1100/90000, loss=6.0720, lr=0.000049, batch_cost=0.4974, reader_cost=0.00068, ips=2.0105 samples/sec | ETA 12:16:57 2021-04-18 22:06:08 [INFO] [LOSS] loss=6.0720, semantic_loss=1.1538, center_loss=0.5520, offset_loss=4.3662 2021-04-18 22:07:00 [INFO] [TRAIN] epoch=4, iter=1200/90000, loss=5.8278, lr=0.000049, batch_cost=0.5254, reader_cost=0.03115, ips=1.9034 samples/sec | ETA 12:57:33 2021-04-18 22:07:00 [INFO] [LOSS] loss=5.8278, semantic_loss=1.0601, center_loss=0.6147, offset_loss=4.1530 2021-04-18 22:07:50 [INFO] [TRAIN] epoch=4, iter=1300/90000, loss=5.5631, lr=0.000049, batch_cost=0.4927, reader_cost=0.00057, ips=2.0297 samples/sec | ETA 12:08:21 2021-04-18 22:07:50 [INFO] [LOSS] loss=5.5631, semantic_loss=1.0240, center_loss=0.5780, offset_loss=3.9612 2021-04-18 22:08:40 [INFO] [TRAIN] epoch=4, iter=1400/90000, loss=4.7895, lr=0.000049, batch_cost=0.4970, reader_cost=0.00129, ips=2.0122 samples/sec | ETA 12:13:50 2021-04-18 22:08:40 [INFO] [LOSS] loss=4.7895, semantic_loss=1.0431, center_loss=0.5715, offset_loss=3.1748 2021-04-18 22:09:32 [INFO] [TRAIN] epoch=5, iter=1500/90000, loss=4.0224, lr=0.000049, batch_cost=0.5252, reader_cost=0.03236, ips=1.9042 samples/sec | ETA 12:54:37 2021-04-18 22:09:32 [INFO] [LOSS] loss=4.0224, semantic_loss=1.0061, center_loss=0.4648, offset_loss=2.5514 2021-04-18 22:10:22 [INFO] [TRAIN] epoch=5, iter=1600/90000, loss=3.0874, lr=0.000049, batch_cost=0.4917, reader_cost=0.00055, ips=2.0337 samples/sec | ETA 12:04:26 2021-04-18 22:10:22 [INFO] [LOSS] loss=3.0874, semantic_loss=0.9235, center_loss=0.4516, offset_loss=1.7123 2021-04-18 22:11:11 [INFO] [TRAIN] epoch=5, iter=1700/90000, loss=4.0343, lr=0.000049, batch_cost=0.4943, reader_cost=0.00116, ips=2.0230 samples/sec | ETA 12:07:27 2021-04-18 22:11:11 [INFO] [LOSS] loss=4.0343, semantic_loss=0.9930, center_loss=0.5899, offset_loss=2.4515 2021-04-18 22:12:01 [INFO] [TRAIN] epoch=5, iter=1800/90000, loss=4.3068, lr=0.000049, batch_cost=0.4986, reader_cost=0.00145, ips=2.0055 samples/sec | ETA 12:12:59 2021-04-18 22:12:01 [INFO] [LOSS] loss=4.3068, semantic_loss=0.9468, center_loss=0.6317, offset_loss=2.7282 2021-04-18 22:12:54 [INFO] [TRAIN] epoch=6, iter=1900/90000, loss=3.7064, lr=0.000049, batch_cost=0.5263, reader_cost=0.03711, ips=1.9002 samples/sec | ETA 12:52:44 2021-04-18 22:12:54 [INFO] [LOSS] loss=3.7064, semantic_loss=0.8851, center_loss=0.3873, offset_loss=2.4340 2021-04-18 22:13:43 [INFO] [TRAIN] epoch=6, iter=2000/90000, loss=5.0696, lr=0.000049, batch_cost=0.4911, reader_cost=0.00084, ips=2.0361 samples/sec | ETA 12:00:20 2021-04-18 22:13:43 [INFO] [LOSS] loss=5.0696, semantic_loss=0.8295, center_loss=0.3845, offset_loss=3.8555 2021-04-18 22:14:33 [INFO] [TRAIN] epoch=6, iter=2100/90000, loss=5.2390, lr=0.000049, batch_cost=0.4941, reader_cost=0.00095, ips=2.0239 samples/sec | ETA 12:03:50 2021-04-18 22:14:33 [INFO] [LOSS] loss=5.2390, semantic_loss=0.9148, center_loss=0.9381, offset_loss=3.3861 2021-04-18 22:15:23 [INFO] [TRAIN] epoch=6, iter=2200/90000, loss=3.7407, lr=0.000049, batch_cost=0.4972, reader_cost=0.00109, ips=2.0112 samples/sec | ETA 12:07:36 2021-04-18 22:15:23 [INFO] [LOSS] loss=3.7407, semantic_loss=0.8434, center_loss=0.3914, offset_loss=2.5059 2021-04-18 22:16:15 [INFO] [TRAIN] epoch=7, iter=2300/90000, loss=3.7583, lr=0.000049, batch_cost=0.5271, reader_cost=0.04282, ips=1.8972 samples/sec | ETA 12:50:24 2021-04-18 22:16:15 [INFO] [LOSS] loss=3.7583, semantic_loss=0.9084, center_loss=0.3839, offset_loss=2.4659 2021-04-18 22:17:05 [INFO] [TRAIN] epoch=7, iter=2400/90000, loss=2.7465, lr=0.000049, batch_cost=0.4946, reader_cost=0.00096, ips=2.0220 samples/sec | ETA 12:02:04 2021-04-18 22:17:05 [INFO] [LOSS] loss=2.7465, semantic_loss=0.8437, center_loss=0.4268, offset_loss=1.4760 2021-04-18 22:17:55 [INFO] [TRAIN] epoch=7, iter=2500/90000, loss=2.7036, lr=0.000049, batch_cost=0.4946, reader_cost=0.00077, ips=2.0218 samples/sec | ETA 12:01:17 2021-04-18 22:17:55 [INFO] [LOSS] loss=2.7036, semantic_loss=0.8067, center_loss=0.6790, offset_loss=1.2179 2021-04-18 22:18:44 [INFO] [TRAIN] epoch=7, iter=2600/90000, loss=2.1981, lr=0.000049, batch_cost=0.4913, reader_cost=0.00047, ips=2.0356 samples/sec | ETA 11:55:36 2021-04-18 22:18:44 [INFO] [LOSS] loss=2.1981, semantic_loss=0.7887, center_loss=0.3205, offset_loss=1.0889 2021-04-18 22:19:37 [INFO] [TRAIN] epoch=8, iter=2700/90000, loss=3.5757, lr=0.000049, batch_cost=0.5274, reader_cost=0.03806, ips=1.8959 samples/sec | ETA 12:47:26 2021-04-18 22:19:37 [INFO] [LOSS] loss=3.5757, semantic_loss=0.8138, center_loss=0.3367, offset_loss=2.4251 2021-04-18 22:20:26 [INFO] [TRAIN] epoch=8, iter=2800/90000, loss=2.2043, lr=0.000049, batch_cost=0.4943, reader_cost=0.00107, ips=2.0229 samples/sec | ETA 11:58:26 2021-04-18 22:20:26 [INFO] [LOSS] loss=2.2043, semantic_loss=0.7771, center_loss=0.3642, offset_loss=1.0629 2021-04-18 22:21:16 [INFO] [TRAIN] epoch=8, iter=2900/90000, loss=2.8050, lr=0.000049, batch_cost=0.4988, reader_cost=0.00077, ips=2.0049 samples/sec | ETA 12:04:03 2021-04-18 22:21:16 [INFO] [LOSS] loss=2.8050, semantic_loss=0.7494, center_loss=0.3869, offset_loss=1.6688 2021-04-18 22:22:09 [INFO] [TRAIN] epoch=9, iter=3000/90000, loss=3.0343, lr=0.000048, batch_cost=0.5243, reader_cost=0.03369, ips=1.9073 samples/sec | ETA 12:40:14 2021-04-18 22:22:09 [INFO] [LOSS] loss=3.0343, semantic_loss=0.8191, center_loss=0.3086, offset_loss=1.9066 2021-04-18 22:22:59 [INFO] [TRAIN] epoch=9, iter=3100/90000, loss=2.7506, lr=0.000048, batch_cost=0.4964, reader_cost=0.00096, ips=2.0147 samples/sec | ETA 11:58:52 2021-04-18 22:22:59 [INFO] [LOSS] loss=2.7506, semantic_loss=0.7998, center_loss=0.3408, offset_loss=1.6101 2021-04-18 22:23:48 [INFO] [TRAIN] epoch=9, iter=3200/90000, loss=2.7283, lr=0.000048, batch_cost=0.4944, reader_cost=0.00083, ips=2.0227 samples/sec | ETA 11:55:13 2021-04-18 22:23:48 [INFO] [LOSS] loss=2.7283, semantic_loss=0.7350, center_loss=0.4240, offset_loss=1.5693 2021-04-18 22:24:38 [INFO] [TRAIN] epoch=9, iter=3300/90000, loss=2.7976, lr=0.000048, batch_cost=0.4999, reader_cost=0.00064, ips=2.0005 samples/sec | ETA 12:02:18 2021-04-18 22:24:38 [INFO] [LOSS] loss=2.7976, semantic_loss=0.6582, center_loss=0.3143, offset_loss=1.8251 2021-04-18 22:25:31 [INFO] [TRAIN] epoch=10, iter=3400/90000, loss=2.3554, lr=0.000048, batch_cost=0.5263, reader_cost=0.03748, ips=1.8999 samples/sec | ETA 12:39:41 2021-04-18 22:25:31 [INFO] [LOSS] loss=2.3554, semantic_loss=0.7500, center_loss=0.3018, offset_loss=1.3036 2021-04-18 22:26:20 [INFO] [TRAIN] epoch=10, iter=3500/90000, loss=1.7388, lr=0.000048, batch_cost=0.4917, reader_cost=0.00055, ips=2.0340 samples/sec | ETA 11:48:47 2021-04-18 22:26:20 [INFO] [LOSS] loss=1.7388, semantic_loss=0.7075, center_loss=0.3021, offset_loss=0.7292 2021-04-18 22:27:10 [INFO] [TRAIN] epoch=10, iter=3600/90000, loss=1.8739, lr=0.000048, batch_cost=0.4942, reader_cost=0.00044, ips=2.0235 samples/sec | ETA 11:51:38 2021-04-18 22:27:10 [INFO] [LOSS] loss=1.8739, semantic_loss=0.6400, center_loss=0.4027, offset_loss=0.8311 2021-04-18 22:28:00 [INFO] [TRAIN] epoch=10, iter=3700/90000, loss=2.6729, lr=0.000048, batch_cost=0.4973, reader_cost=0.00107, ips=2.0108 samples/sec | ETA 11:55:18 2021-04-18 22:28:00 [INFO] [LOSS] loss=2.6729, semantic_loss=0.7596, center_loss=0.2717, offset_loss=1.6416 2021-04-18 22:28:53 [INFO] [TRAIN] epoch=11, iter=3800/90000, loss=2.4786, lr=0.000048, batch_cost=0.5263, reader_cost=0.03397, ips=1.9002 samples/sec | ETA 12:36:04 2021-04-18 22:28:53 [INFO] [LOSS] loss=2.4786, semantic_loss=0.7272, center_loss=0.3002, offset_loss=1.4511 2021-04-18 22:29:42 [INFO] [TRAIN] epoch=11, iter=3900/90000, loss=1.7277, lr=0.000048, batch_cost=0.4928, reader_cost=0.00108, ips=2.0291 samples/sec | ETA 11:47:12 2021-04-18 22:29:42 [INFO] [LOSS] loss=1.7277, semantic_loss=0.6231, center_loss=0.2897, offset_loss=0.8148 2021-04-18 22:30:32 [INFO] [TRAIN] epoch=11, iter=4000/90000, loss=2.3266, lr=0.000048, batch_cost=0.4953, reader_cost=0.00078, ips=2.0191 samples/sec | ETA 11:49:54 2021-04-18 22:30:32 [INFO] [LOSS] loss=2.3266, semantic_loss=0.6620, center_loss=0.3185, offset_loss=1.3460 2021-04-18 22:31:24 [INFO] [TRAIN] epoch=12, iter=4100/90000, loss=2.0395, lr=0.000048, batch_cost=0.5251, reader_cost=0.03258, ips=1.9044 samples/sec | ETA 12:31:46 2021-04-18 22:31:24 [INFO] [LOSS] loss=2.0395, semantic_loss=0.7105, center_loss=0.2607, offset_loss=1.0684 2021-04-18 22:32:14 [INFO] [TRAIN] epoch=12, iter=4200/90000, loss=1.8940, lr=0.000048, batch_cost=0.4948, reader_cost=0.00137, ips=2.0212 samples/sec | ETA 11:47:29 2021-04-18 22:32:14 [INFO] [LOSS] loss=1.8940, semantic_loss=0.6780, center_loss=0.2804, offset_loss=0.9355 2021-04-18 22:33:04 [INFO] [TRAIN] epoch=12, iter=4300/90000, loss=2.1081, lr=0.000048, batch_cost=0.4942, reader_cost=0.00122, ips=2.0236 samples/sec | ETA 11:45:50 2021-04-18 22:33:04 [INFO] [LOSS] loss=2.1081, semantic_loss=0.6679, center_loss=0.3382, offset_loss=1.1020 2021-04-18 22:33:53 [INFO] [TRAIN] epoch=12, iter=4400/90000, loss=2.3450, lr=0.000048, batch_cost=0.4979, reader_cost=0.00073, ips=2.0086 samples/sec | ETA 11:50:17 2021-04-18 22:33:53 [INFO] [LOSS] loss=2.3450, semantic_loss=0.6626, center_loss=0.4317, offset_loss=1.2508 2021-04-18 22:34:46 [INFO] [TRAIN] epoch=13, iter=4500/90000, loss=1.8077, lr=0.000048, batch_cost=0.5245, reader_cost=0.03301, ips=1.9066 samples/sec | ETA 12:27:23 2021-04-18 22:34:46 [INFO] [LOSS] loss=1.8077, semantic_loss=0.6815, center_loss=0.2718, offset_loss=0.8545 2021-04-18 22:35:35 [INFO] [TRAIN] epoch=13, iter=4600/90000, loss=1.6532, lr=0.000048, batch_cost=0.4914, reader_cost=0.00109, ips=2.0350 samples/sec | ETA 11:39:26 2021-04-18 22:35:35 [INFO] [LOSS] loss=1.6532, semantic_loss=0.6828, center_loss=0.2755, offset_loss=0.6948 2021-04-18 22:36:25 [INFO] [TRAIN] epoch=13, iter=4700/90000, loss=2.0146, lr=0.000048, batch_cost=0.4945, reader_cost=0.00070, ips=2.0224 samples/sec | ETA 11:42:57 2021-04-18 22:36:25 [INFO] [LOSS] loss=2.0146, semantic_loss=0.6408, center_loss=0.4275, offset_loss=0.9463 2021-04-18 22:37:15 [INFO] [TRAIN] epoch=13, iter=4800/90000, loss=2.9601, lr=0.000048, batch_cost=0.4968, reader_cost=0.00081, ips=2.0129 samples/sec | ETA 11:45:27 2021-04-18 22:37:15 [INFO] [LOSS] loss=2.9601, semantic_loss=0.7359, center_loss=0.2819, offset_loss=1.9423 2021-04-18 22:38:08 [INFO] [TRAIN] epoch=14, iter=4900/90000, loss=1.9508, lr=0.000048, batch_cost=0.5296, reader_cost=0.04292, ips=1.8882 samples/sec | ETA 12:31:10 2021-04-18 22:38:08 [INFO] [LOSS] loss=1.9508, semantic_loss=0.6830, center_loss=0.2360, offset_loss=1.0318 2021-04-18 22:38:57 [INFO] [TRAIN] epoch=14, iter=5000/90000, loss=2.2025, lr=0.000047, batch_cost=0.4924, reader_cost=0.00093, ips=2.0310 samples/sec | ETA 11:37:30 2021-04-18 22:38:57 [INFO] [LOSS] loss=2.2025, semantic_loss=0.6826, center_loss=0.2743, offset_loss=1.2456 2021-04-18 22:39:54 [INFO] [TRAIN] epoch=14, iter=5100/90000, loss=2.3641, lr=0.000047, batch_cost=0.4967, reader_cost=0.00109, ips=2.0132 samples/sec | ETA 11:42:51 2021-04-18 22:39:54 [INFO] [LOSS] loss=2.3641, semantic_loss=0.7006, center_loss=0.3868, offset_loss=1.2766 2021-04-18 22:40:44 [INFO] [TRAIN] epoch=14, iter=5200/90000, loss=2.3587, lr=0.000047, batch_cost=0.4964, reader_cost=0.00029, ips=2.0143 samples/sec | ETA 11:41:38 2021-04-18 22:40:44 [INFO] [LOSS] loss=2.3587, semantic_loss=0.6599, center_loss=0.2528, offset_loss=1.4460 2021-04-18 22:41:36 [INFO] [TRAIN] epoch=15, iter=5300/90000, loss=1.9364, lr=0.000047, batch_cost=0.5200, reader_cost=0.03315, ips=1.9232 samples/sec | ETA 12:14:01 2021-04-18 22:41:36 [INFO] [LOSS] loss=1.9364, semantic_loss=0.6354, center_loss=0.3004, offset_loss=1.0006 2021-04-18 22:42:26 [INFO] [TRAIN] epoch=15, iter=5400/90000, loss=1.7909, lr=0.000047, batch_cost=0.4932, reader_cost=0.00108, ips=2.0274 samples/sec | ETA 11:35:27 2021-04-18 22:42:26 [INFO] [LOSS] loss=1.7909, semantic_loss=0.6439, center_loss=0.2417, offset_loss=0.9053 2021-04-18 22:43:15 [INFO] [TRAIN] epoch=15, iter=5500/90000, loss=1.7881, lr=0.000047, batch_cost=0.4955, reader_cost=0.00052, ips=2.0183 samples/sec | ETA 11:37:47 2021-04-18 22:43:15 [INFO] [LOSS] loss=1.7881, semantic_loss=0.6778, center_loss=0.2520, offset_loss=0.8583 2021-04-18 22:44:08 [INFO] [TRAIN] epoch=16, iter=5600/90000, loss=1.5820, lr=0.000047, batch_cost=0.5242, reader_cost=0.03430, ips=1.9078 samples/sec | ETA 12:17:20 2021-04-18 22:44:08 [INFO] [LOSS] loss=1.5820, semantic_loss=0.5926, center_loss=0.2800, offset_loss=0.7093 2021-04-18 22:44:57 [INFO] [TRAIN] epoch=16, iter=5700/90000, loss=1.5540, lr=0.000047, batch_cost=0.4944, reader_cost=0.00113, ips=2.0224 samples/sec | ETA 11:34:42 2021-04-18 22:44:57 [INFO] [LOSS] loss=1.5540, semantic_loss=0.5560, center_loss=0.2370, offset_loss=0.7610 2021-04-18 22:45:47 [INFO] [TRAIN] epoch=16, iter=5800/90000, loss=2.4050, lr=0.000047, batch_cost=0.4937, reader_cost=0.00094, ips=2.0254 samples/sec | ETA 11:32:52 2021-04-18 22:45:47 [INFO] [LOSS] loss=2.4050, semantic_loss=0.6030, center_loss=0.2507, offset_loss=1.5513 2021-04-18 22:46:37 [INFO] [TRAIN] epoch=16, iter=5900/90000, loss=1.8354, lr=0.000047, batch_cost=0.4989, reader_cost=0.00057, ips=2.0044 samples/sec | ETA 11:39:17 2021-04-18 22:46:37 [INFO] [LOSS] loss=1.8354, semantic_loss=0.6326, center_loss=0.2619, offset_loss=0.9409 2021-04-18 22:47:30 [INFO] [TRAIN] epoch=17, iter=6000/90000, loss=1.8149, lr=0.000047, batch_cost=0.5272, reader_cost=0.03961, ips=1.8970 samples/sec | ETA 12:18:00 2021-04-18 22:47:30 [INFO] [LOSS] loss=1.8149, semantic_loss=0.6457, center_loss=0.2498, offset_loss=0.9193 2021-04-18 22:48:19 [INFO] [TRAIN] epoch=17, iter=6100/90000, loss=1.9963, lr=0.000047, batch_cost=0.4925, reader_cost=0.00081, ips=2.0306 samples/sec | ETA 11:28:37 2021-04-18 22:48:19 [INFO] [LOSS] loss=1.9963, semantic_loss=0.5916, center_loss=0.2871, offset_loss=1.1176 2021-04-18 22:49:08 [INFO] [TRAIN] epoch=17, iter=6200/90000, loss=2.1060, lr=0.000047, batch_cost=0.4933, reader_cost=0.00043, ips=2.0270 samples/sec | ETA 11:29:02 2021-04-18 22:49:08 [INFO] [LOSS] loss=2.1060, semantic_loss=0.5548, center_loss=0.3968, offset_loss=1.1544 2021-04-18 22:49:59 [INFO] [TRAIN] epoch=17, iter=6300/90000, loss=2.0288, lr=0.000047, batch_cost=0.5004, reader_cost=0.00043, ips=1.9984 samples/sec | ETA 11:38:04 2021-04-18 22:49:59 [INFO] [LOSS] loss=2.0288, semantic_loss=0.6553, center_loss=0.2342, offset_loss=1.1393 2021-04-18 22:50:51 [INFO] [TRAIN] epoch=18, iter=6400/90000, loss=1.4590, lr=0.000047, batch_cost=0.5194, reader_cost=0.03333, ips=1.9254 samples/sec | ETA 12:03:39 2021-04-18 22:50:51 [INFO] [LOSS] loss=1.4590, semantic_loss=0.5817, center_loss=0.2454, offset_loss=0.6319 2021-04-18 22:51:40 [INFO] [TRAIN] epoch=18, iter=6500/90000, loss=1.2988, lr=0.000047, batch_cost=0.4931, reader_cost=0.00076, ips=2.0281 samples/sec | ETA 11:26:10 2021-04-18 22:51:40 [INFO] [LOSS] loss=1.2988, semantic_loss=0.6233, center_loss=0.2692, offset_loss=0.4063 2021-04-18 22:52:30 [INFO] [TRAIN] epoch=18, iter=6600/90000, loss=3.2292, lr=0.000047, batch_cost=0.4949, reader_cost=0.00099, ips=2.0208 samples/sec | ETA 11:27:50 2021-04-18 22:52:30 [INFO] [LOSS] loss=3.2292, semantic_loss=0.5349, center_loss=0.3353, offset_loss=2.3590 2021-04-18 22:53:23 [INFO] [TRAIN] epoch=19, iter=6700/90000, loss=1.4594, lr=0.000047, batch_cost=0.5285, reader_cost=0.03522, ips=1.8922 samples/sec | ETA 12:13:42 2021-04-18 22:53:23 [INFO] [LOSS] loss=1.4594, semantic_loss=0.6460, center_loss=0.2483, offset_loss=0.5651 2021-04-18 22:54:12 [INFO] [TRAIN] epoch=19, iter=6800/90000, loss=1.3051, lr=0.000047, batch_cost=0.4941, reader_cost=0.00083, ips=2.0237 samples/sec | ETA 11:25:13 2021-04-18 22:54:12 [INFO] [LOSS] loss=1.3051, semantic_loss=0.5377, center_loss=0.2804, offset_loss=0.4870 2021-04-18 22:55:02 [INFO] [TRAIN] epoch=19, iter=6900/90000, loss=2.3749, lr=0.000047, batch_cost=0.4951, reader_cost=0.00075, ips=2.0199 samples/sec | ETA 11:25:40 2021-04-18 22:55:02 [INFO] [LOSS] loss=2.3749, semantic_loss=0.6059, center_loss=0.2675, offset_loss=1.5014 2021-04-18 22:55:52 [INFO] [TRAIN] epoch=19, iter=7000/90000, loss=1.8088, lr=0.000046, batch_cost=0.4982, reader_cost=0.00046, ips=2.0074 samples/sec | ETA 11:29:07 2021-04-18 22:55:52 [INFO] [LOSS] loss=1.8088, semantic_loss=0.5570, center_loss=0.2661, offset_loss=0.9858 2021-04-18 22:56:45 [INFO] [TRAIN] epoch=20, iter=7100/90000, loss=1.3625, lr=0.000046, batch_cost=0.5300, reader_cost=0.03872, ips=1.8869 samples/sec | ETA 12:12:14 2021-04-18 22:56:45 [INFO] [LOSS] loss=1.3625, semantic_loss=0.6217, center_loss=0.2227, offset_loss=0.5181 2021-04-18 22:57:34 [INFO] [TRAIN] epoch=20, iter=7200/90000, loss=1.5115, lr=0.000046, batch_cost=0.4936, reader_cost=0.00084, ips=2.0260 samples/sec | ETA 11:21:09 2021-04-18 22:57:34 [INFO] [LOSS] loss=1.5115, semantic_loss=0.6198, center_loss=0.2424, offset_loss=0.6493 2021-04-18 22:58:24 [INFO] [TRAIN] epoch=20, iter=7300/90000, loss=1.3686, lr=0.000046, batch_cost=0.4941, reader_cost=0.00113, ips=2.0237 samples/sec | ETA 11:21:05 2021-04-18 22:58:24 [INFO] [LOSS] loss=1.3686, semantic_loss=0.5505, center_loss=0.3365, offset_loss=0.4816 2021-04-18 22:59:14 [INFO] [TRAIN] epoch=20, iter=7400/90000, loss=1.4695, lr=0.000046, batch_cost=0.4971, reader_cost=0.00092, ips=2.0118 samples/sec | ETA 11:24:18 2021-04-18 22:59:14 [INFO] [LOSS] loss=1.4695, semantic_loss=0.6106, center_loss=0.1917, offset_loss=0.6672 2021-04-18 23:00:06 [INFO] [TRAIN] epoch=21, iter=7500/90000, loss=1.2824, lr=0.000046, batch_cost=0.5213, reader_cost=0.03291, ips=1.9184 samples/sec | ETA 11:56:44 2021-04-18 23:00:06 [INFO] [LOSS] loss=1.2824, semantic_loss=0.6068, center_loss=0.2109, offset_loss=0.4647 2021-04-18 23:00:56 [INFO] [TRAIN] epoch=21, iter=7600/90000, loss=1.4671, lr=0.000046, batch_cost=0.4954, reader_cost=0.00082, ips=2.0184 samples/sec | ETA 11:20:24 2021-04-18 23:00:56 [INFO] [LOSS] loss=1.4671, semantic_loss=0.5769, center_loss=0.2674, offset_loss=0.6228 2021-04-18 23:01:45 [INFO] [TRAIN] epoch=21, iter=7700/90000, loss=1.5229, lr=0.000046, batch_cost=0.4942, reader_cost=0.00056, ips=2.0235 samples/sec | ETA 11:17:52 2021-04-18 23:01:45 [INFO] [LOSS] loss=1.5229, semantic_loss=0.5292, center_loss=0.2513, offset_loss=0.7424 2021-04-18 23:02:35 [INFO] [TRAIN] epoch=21, iter=7800/90000, loss=1.5790, lr=0.000046, batch_cost=0.4943, reader_cost=0.00066, ips=2.0231 samples/sec | ETA 11:17:11 2021-04-18 23:02:35 [INFO] [LOSS] loss=1.5790, semantic_loss=0.5912, center_loss=0.2047, offset_loss=0.7831 2021-04-18 23:03:27 [INFO] [TRAIN] epoch=22, iter=7900/90000, loss=1.8079, lr=0.000046, batch_cost=0.5237, reader_cost=0.03559, ips=1.9095 samples/sec | ETA 11:56:34 2021-04-18 23:03:27 [INFO] [LOSS] loss=1.8079, semantic_loss=0.5395, center_loss=0.2302, offset_loss=1.0382 2021-04-18 23:04:17 [INFO] [TRAIN] epoch=22, iter=8000/90000, loss=1.3491, lr=0.000046, batch_cost=0.4956, reader_cost=0.00100, ips=2.0177 samples/sec | ETA 11:17:20 2021-04-18 23:04:17 [INFO] [LOSS] loss=1.3491, semantic_loss=0.5292, center_loss=0.2569, offset_loss=0.5630 2021-04-18 23:05:07 [INFO] [TRAIN] epoch=22, iter=8100/90000, loss=1.6940, lr=0.000046, batch_cost=0.4950, reader_cost=0.00099, ips=2.0201 samples/sec | ETA 11:15:43 2021-04-18 23:05:07 [INFO] [LOSS] loss=1.6940, semantic_loss=0.5981, center_loss=0.3253, offset_loss=0.7706 2021-04-18 23:06:00 [INFO] [TRAIN] epoch=23, iter=8200/90000, loss=1.4410, lr=0.000046, batch_cost=0.5325, reader_cost=0.03389, ips=1.8780 samples/sec | ETA 12:05:56 2021-04-18 23:06:00 [INFO] [LOSS] loss=1.4410, semantic_loss=0.5770, center_loss=0.2193, offset_loss=0.6447 2021-04-18 23:06:50 [INFO] [TRAIN] epoch=23, iter=8300/90000, loss=1.3195, lr=0.000046, batch_cost=0.4944, reader_cost=0.00086, ips=2.0228 samples/sec | ETA 11:13:09 2021-04-18 23:06:50 [INFO] [LOSS] loss=1.3195, semantic_loss=0.5366, center_loss=0.2338, offset_loss=0.5491 2021-04-18 23:07:39 [INFO] [TRAIN] epoch=23, iter=8400/90000, loss=1.2389, lr=0.000046, batch_cost=0.4908, reader_cost=0.00043, ips=2.0375 samples/sec | ETA 11:07:29 2021-04-18 23:07:39 [INFO] [LOSS] loss=1.2389, semantic_loss=0.4615, center_loss=0.2241, offset_loss=0.5533 2021-04-18 23:08:29 [INFO] [TRAIN] epoch=23, iter=8500/90000, loss=3.0512, lr=0.000046, batch_cost=0.4955, reader_cost=0.00065, ips=2.0182 samples/sec | ETA 11:13:03 2021-04-18 23:08:29 [INFO] [LOSS] loss=3.0512, semantic_loss=0.6062, center_loss=0.3141, offset_loss=2.1308 2021-04-18 23:09:21 [INFO] [TRAIN] epoch=24, iter=8600/90000, loss=1.8322, lr=0.000046, batch_cost=0.5268, reader_cost=0.03183, ips=1.8982 samples/sec | ETA 11:54:43 2021-04-18 23:09:21 [INFO] [LOSS] loss=1.8322, semantic_loss=0.5937, center_loss=0.2154, offset_loss=1.0231 2021-04-18 23:10:11 [INFO] [TRAIN] epoch=24, iter=8700/90000, loss=1.3834, lr=0.000046, batch_cost=0.4927, reader_cost=0.00046, ips=2.0295 samples/sec | ETA 11:07:38 2021-04-18 23:10:11 [INFO] [LOSS] loss=1.3834, semantic_loss=0.5425, center_loss=0.2424, offset_loss=0.5985 2021-04-18 23:11:00 [INFO] [TRAIN] epoch=24, iter=8800/90000, loss=1.4583, lr=0.000046, batch_cost=0.4943, reader_cost=0.00096, ips=2.0231 samples/sec | ETA 11:08:55 2021-04-18 23:11:00 [INFO] [LOSS] loss=1.4583, semantic_loss=0.5524, center_loss=0.2573, offset_loss=0.6486 2021-04-18 23:11:50 [INFO] [TRAIN] epoch=24, iter=8900/90000, loss=1.0998, lr=0.000046, batch_cost=0.4988, reader_cost=0.00070, ips=2.0049 samples/sec | ETA 11:14:11 2021-04-18 23:11:50 [INFO] [LOSS] loss=1.0998, semantic_loss=0.5186, center_loss=0.2076, offset_loss=0.3736 2021-04-18 23:12:43 [INFO] [TRAIN] epoch=25, iter=9000/90000, loss=1.4054, lr=0.000045, batch_cost=0.5231, reader_cost=0.03517, ips=1.9119 samples/sec | ETA 11:46:07 2021-04-18 23:12:43 [INFO] [LOSS] loss=1.4054, semantic_loss=0.5423, center_loss=0.2096, offset_loss=0.6535 2021-04-18 23:13:32 [INFO] [TRAIN] epoch=25, iter=9100/90000, loss=1.2328, lr=0.000045, batch_cost=0.4922, reader_cost=0.00107, ips=2.0316 samples/sec | ETA 11:03:41 2021-04-18 23:13:32 [INFO] [LOSS] loss=1.2328, semantic_loss=0.5404, center_loss=0.2164, offset_loss=0.4760 2021-04-18 23:14:22 [INFO] [TRAIN] epoch=25, iter=9200/90000, loss=1.9207, lr=0.000045, batch_cost=0.4962, reader_cost=0.00074, ips=2.0151 samples/sec | ETA 11:08:16 2021-04-18 23:14:22 [INFO] [LOSS] loss=1.9207, semantic_loss=0.5930, center_loss=0.2639, offset_loss=1.0638 2021-04-18 23:15:11 [INFO] [TRAIN] epoch=25, iter=9300/90000, loss=1.3307, lr=0.000045, batch_cost=0.4871, reader_cost=0.00061, ips=2.0531 samples/sec | ETA 10:55:07 2021-04-18 23:15:11 [INFO] [LOSS] loss=1.3307, semantic_loss=0.5741, center_loss=0.2144, offset_loss=0.5422 2021-04-18 23:16:04 [INFO] [TRAIN] epoch=26, iter=9400/90000, loss=1.1535, lr=0.000045, batch_cost=0.5313, reader_cost=0.03630, ips=1.8821 samples/sec | ETA 11:53:45 2021-04-18 23:16:04 [INFO] [LOSS] loss=1.1535, semantic_loss=0.5107, center_loss=0.2137, offset_loss=0.4291 2021-04-18 23:16:53 [INFO] [TRAIN] epoch=26, iter=9500/90000, loss=1.2237, lr=0.000045, batch_cost=0.4920, reader_cost=0.00057, ips=2.0325 samples/sec | ETA 11:00:06 2021-04-18 23:16:53 [INFO] [LOSS] loss=1.2237, semantic_loss=0.4909, center_loss=0.1930, offset_loss=0.5397 2021-04-18 23:17:43 [INFO] [TRAIN] epoch=26, iter=9600/90000, loss=1.3637, lr=0.000045, batch_cost=0.4969, reader_cost=0.00072, ips=2.0123 samples/sec | ETA 11:05:54 2021-04-18 23:17:43 [INFO] [LOSS] loss=1.3637, semantic_loss=0.5759, center_loss=0.2000, offset_loss=0.5878 2021-04-18 23:18:36 [INFO] [TRAIN] epoch=27, iter=9700/90000, loss=1.6537, lr=0.000045, batch_cost=0.5233, reader_cost=0.03137, ips=1.9109 samples/sec | ETA 11:40:22 2021-04-18 23:18:36 [INFO] [LOSS] loss=1.6537, semantic_loss=0.5222, center_loss=0.1909, offset_loss=0.9406 2021-04-18 23:19:25 [INFO] [TRAIN] epoch=27, iter=9800/90000, loss=1.1539, lr=0.000045, batch_cost=0.4934, reader_cost=0.00117, ips=2.0267 samples/sec | ETA 10:59:30 2021-04-18 23:19:25 [INFO] [LOSS] loss=1.1539, semantic_loss=0.4980, center_loss=0.2206, offset_loss=0.4353 2021-04-18 23:20:15 [INFO] [TRAIN] epoch=27, iter=9900/90000, loss=1.1230, lr=0.000045, batch_cost=0.4935, reader_cost=0.00076, ips=2.0265 samples/sec | ETA 10:58:46 2021-04-18 23:20:15 [INFO] [LOSS] loss=1.1230, semantic_loss=0.4474, center_loss=0.2060, offset_loss=0.4696 2021-04-18 23:21:04 [INFO] [TRAIN] epoch=27, iter=10000/90000, loss=2.2011, lr=0.000045, batch_cost=0.4948, reader_cost=0.00104, ips=2.0210 samples/sec | ETA 10:59:44 2021-04-18 23:21:04 [INFO] [LOSS] loss=2.2011, semantic_loss=0.6052, center_loss=0.1904, offset_loss=1.4054 2021-04-18 23:22:04 [INFO] [TRAIN] epoch=28, iter=10100/90000, loss=1.3143, lr=0.000045, batch_cost=0.5264, reader_cost=0.03533, ips=1.8996 samples/sec | ETA 11:41:02 2021-04-18 23:22:04 [INFO] [LOSS] loss=1.3143, semantic_loss=0.5618, center_loss=0.1771, offset_loss=0.5754 2021-04-18 23:22:54 [INFO] [TRAIN] epoch=28, iter=10200/90000, loss=1.0864, lr=0.000045, batch_cost=0.4922, reader_cost=0.00111, ips=2.0317 samples/sec | ETA 10:54:38 2021-04-18 23:22:54 [INFO] [LOSS] loss=1.0864, semantic_loss=0.4857, center_loss=0.2127, offset_loss=0.3880 2021-04-18 23:23:43 [INFO] [TRAIN] epoch=28, iter=10300/90000, loss=1.9174, lr=0.000045, batch_cost=0.4958, reader_cost=0.00090, ips=2.0171 samples/sec | ETA 10:58:32 2021-04-18 23:23:43 [INFO] [LOSS] loss=1.9174, semantic_loss=0.5027, center_loss=0.2867, offset_loss=1.1280 2021-04-18 23:24:33 [INFO] [TRAIN] epoch=28, iter=10400/90000, loss=1.3751, lr=0.000045, batch_cost=0.4925, reader_cost=0.00106, ips=2.0304 samples/sec | ETA 10:53:23 2021-04-18 23:24:33 [INFO] [LOSS] loss=1.3751, semantic_loss=0.5613, center_loss=0.1957, offset_loss=0.6181 2021-04-18 23:25:25 [INFO] [TRAIN] epoch=29, iter=10500/90000, loss=1.3135, lr=0.000045, batch_cost=0.5237, reader_cost=0.03672, ips=1.9095 samples/sec | ETA 11:33:53 2021-04-18 23:25:25 [INFO] [LOSS] loss=1.3135, semantic_loss=0.4671, center_loss=0.2361, offset_loss=0.6103 2021-04-18 23:26:15 [INFO] [TRAIN] epoch=29, iter=10600/90000, loss=1.3739, lr=0.000045, batch_cost=0.4917, reader_cost=0.00073, ips=2.0337 samples/sec | ETA 10:50:41 2021-04-18 23:26:15 [INFO] [LOSS] loss=1.3739, semantic_loss=0.4927, center_loss=0.2698, offset_loss=0.6113 2021-04-18 23:27:04 [INFO] [TRAIN] epoch=29, iter=10700/90000, loss=1.5842, lr=0.000045, batch_cost=0.4944, reader_cost=0.00081, ips=2.0227 samples/sec | ETA 10:53:25 2021-04-18 23:27:04 [INFO] [LOSS] loss=1.5842, semantic_loss=0.5288, center_loss=0.2421, offset_loss=0.8133 2021-04-18 23:27:57 [INFO] [TRAIN] epoch=30, iter=10800/90000, loss=1.7744, lr=0.000045, batch_cost=0.5265, reader_cost=0.03942, ips=1.8995 samples/sec | ETA 11:34:55 2021-04-18 23:27:57 [INFO] [LOSS] loss=1.7744, semantic_loss=0.5498, center_loss=0.1890, offset_loss=1.0357 2021-04-18 23:28:46 [INFO] [TRAIN] epoch=30, iter=10900/90000, loss=1.4922, lr=0.000045, batch_cost=0.4911, reader_cost=0.00117, ips=2.0364 samples/sec | ETA 10:47:23 2021-04-18 23:28:46 [INFO] [LOSS] loss=1.4922, semantic_loss=0.5236, center_loss=0.2005, offset_loss=0.7681 2021-04-18 23:29:36 [INFO] [TRAIN] epoch=30, iter=11000/90000, loss=1.0310, lr=0.000044, batch_cost=0.4948, reader_cost=0.00076, ips=2.0210 samples/sec | ETA 10:51:29 2021-04-18 23:29:36 [INFO] [LOSS] loss=1.0310, semantic_loss=0.5070, center_loss=0.1795, offset_loss=0.3444 2021-04-18 23:30:26 [INFO] [TRAIN] epoch=30, iter=11100/90000, loss=1.1835, lr=0.000044, batch_cost=0.4960, reader_cost=0.00072, ips=2.0159 samples/sec | ETA 10:52:18 2021-04-18 23:30:26 [INFO] [LOSS] loss=1.1835, semantic_loss=0.5567, center_loss=0.1972, offset_loss=0.4295 2021-04-18 23:31:18 [INFO] [TRAIN] epoch=31, iter=11200/90000, loss=1.1030, lr=0.000044, batch_cost=0.5254, reader_cost=0.03944, ips=1.9035 samples/sec | ETA 11:29:58 2021-04-18 23:31:18 [INFO] [LOSS] loss=1.1030, semantic_loss=0.5310, center_loss=0.1869, offset_loss=0.3851 2021-04-18 23:32:08 [INFO] [TRAIN] epoch=31, iter=11300/90000, loss=1.0590, lr=0.000044, batch_cost=0.4929, reader_cost=0.00045, ips=2.0288 samples/sec | ETA 10:46:31 2021-04-18 23:32:08 [INFO] [LOSS] loss=1.0590, semantic_loss=0.4864, center_loss=0.2384, offset_loss=0.3341 2021-04-18 23:32:57 [INFO] [TRAIN] epoch=31, iter=11400/90000, loss=1.3037, lr=0.000044, batch_cost=0.4934, reader_cost=0.00091, ips=2.0268 samples/sec | ETA 10:46:19 2021-04-18 23:32:57 [INFO] [LOSS] loss=1.3037, semantic_loss=0.5468, center_loss=0.1976, offset_loss=0.5592 2021-04-18 23:33:47 [INFO] [TRAIN] epoch=31, iter=11500/90000, loss=1.4149, lr=0.000044, batch_cost=0.4971, reader_cost=0.00082, ips=2.0118 samples/sec | ETA 10:50:19 2021-04-18 23:33:47 [INFO] [LOSS] loss=1.4149, semantic_loss=0.4957, center_loss=0.1995, offset_loss=0.7197 2021-04-18 23:34:39 [INFO] [TRAIN] epoch=32, iter=11600/90000, loss=1.5495, lr=0.000044, batch_cost=0.5240, reader_cost=0.03588, ips=1.9086 samples/sec | ETA 11:24:38 2021-04-18 23:34:39 [INFO] [LOSS] loss=1.5495, semantic_loss=0.5591, center_loss=0.2027, offset_loss=0.7878 2021-04-18 23:35:29 [INFO] [TRAIN] epoch=32, iter=11700/90000, loss=1.0964, lr=0.000044, batch_cost=0.4945, reader_cost=0.00061, ips=2.0222 samples/sec | ETA 10:45:19 2021-04-18 23:35:29 [INFO] [LOSS] loss=1.0964, semantic_loss=0.4713, center_loss=0.2048, offset_loss=0.4203 2021-04-18 23:36:19 [INFO] [TRAIN] epoch=32, iter=11800/90000, loss=1.2061, lr=0.000044, batch_cost=0.4943, reader_cost=0.00080, ips=2.0230 samples/sec | ETA 10:44:15 2021-04-18 23:36:19 [INFO] [LOSS] loss=1.2061, semantic_loss=0.4790, center_loss=0.2116, offset_loss=0.5155 2021-04-18 23:37:08 [INFO] [TRAIN] epoch=32, iter=11900/90000, loss=1.3991, lr=0.000044, batch_cost=0.4943, reader_cost=0.00086, ips=2.0230 samples/sec | ETA 10:43:26 2021-04-18 23:37:08 [INFO] [LOSS] loss=1.3991, semantic_loss=0.5628, center_loss=0.1806, offset_loss=0.6557 2021-04-18 23:38:01 [INFO] [TRAIN] epoch=33, iter=12000/90000, loss=1.2176, lr=0.000044, batch_cost=0.5254, reader_cost=0.03698, ips=1.9034 samples/sec | ETA 11:22:58 2021-04-18 23:38:01 [INFO] [LOSS] loss=1.2176, semantic_loss=0.4747, center_loss=0.2320, offset_loss=0.5108 2021-04-18 23:38:50 [INFO] [TRAIN] epoch=33, iter=12100/90000, loss=1.4893, lr=0.000044, batch_cost=0.4949, reader_cost=0.00066, ips=2.0207 samples/sec | ETA 10:42:31 2021-04-18 23:38:50 [INFO] [LOSS] loss=1.4893, semantic_loss=0.4951, center_loss=0.1937, offset_loss=0.8005 2021-04-18 23:39:40 [INFO] [TRAIN] epoch=33, iter=12200/90000, loss=1.1888, lr=0.000044, batch_cost=0.4970, reader_cost=0.00100, ips=2.0121 samples/sec | ETA 10:44:25 2021-04-18 23:39:40 [INFO] [LOSS] loss=1.1888, semantic_loss=0.6162, center_loss=0.2105, offset_loss=0.3622 2021-04-18 23:40:33 [INFO] [TRAIN] epoch=34, iter=12300/90000, loss=1.0130, lr=0.000044, batch_cost=0.5299, reader_cost=0.03101, ips=1.8870 samples/sec | ETA 11:26:15 2021-04-18 23:40:33 [INFO] [LOSS] loss=1.0130, semantic_loss=0.4896, center_loss=0.1979, offset_loss=0.3256 2021-04-18 23:41:23 [INFO] [TRAIN] epoch=34, iter=12400/90000, loss=1.1036, lr=0.000044, batch_cost=0.4935, reader_cost=0.00069, ips=2.0264 samples/sec | ETA 10:38:15 2021-04-18 23:41:23 [INFO] [LOSS] loss=1.1036, semantic_loss=0.4862, center_loss=0.1985, offset_loss=0.4190 2021-04-18 23:42:12 [INFO] [TRAIN] epoch=34, iter=12500/90000, loss=1.1132, lr=0.000044, batch_cost=0.4908, reader_cost=0.00089, ips=2.0374 samples/sec | ETA 10:33:59 2021-04-18 23:42:12 [INFO] [LOSS] loss=1.1132, semantic_loss=0.4442, center_loss=0.1707, offset_loss=0.4983 2021-04-18 23:43:02 [INFO] [TRAIN] epoch=34, iter=12600/90000, loss=1.0291, lr=0.000044, batch_cost=0.4958, reader_cost=0.00080, ips=2.0169 samples/sec | ETA 10:39:35 2021-04-18 23:43:02 [INFO] [LOSS] loss=1.0291, semantic_loss=0.4654, center_loss=0.1806, offset_loss=0.3832 2021-04-18 23:43:54 [INFO] [TRAIN] epoch=35, iter=12700/90000, loss=1.2805, lr=0.000044, batch_cost=0.5246, reader_cost=0.03492, ips=1.9061 samples/sec | ETA 11:15:53 2021-04-18 23:43:54 [INFO] [LOSS] loss=1.2805, semantic_loss=0.4936, center_loss=0.1798, offset_loss=0.6070 2021-04-18 23:44:43 [INFO] [TRAIN] epoch=35, iter=12800/90000, loss=0.9111, lr=0.000044, batch_cost=0.4906, reader_cost=0.00126, ips=2.0383 samples/sec | ETA 10:31:14 2021-04-18 23:44:43 [INFO] [LOSS] loss=0.9111, semantic_loss=0.4229, center_loss=0.1973, offset_loss=0.2909 2021-04-18 23:45:33 [INFO] [TRAIN] epoch=35, iter=12900/90000, loss=1.0330, lr=0.000044, batch_cost=0.4962, reader_cost=0.00053, ips=2.0153 samples/sec | ETA 10:37:37 2021-04-18 23:45:33 [INFO] [LOSS] loss=1.0330, semantic_loss=0.4844, center_loss=0.1833, offset_loss=0.3653 2021-04-18 23:46:23 [INFO] [TRAIN] epoch=35, iter=13000/90000, loss=3.2144, lr=0.000043, batch_cost=0.4964, reader_cost=0.00144, ips=2.0147 samples/sec | ETA 10:36:59 2021-04-18 23:46:23 [INFO] [LOSS] loss=3.2144, semantic_loss=0.4981, center_loss=0.2047, offset_loss=2.5116 2021-04-18 23:47:15 [INFO] [TRAIN] epoch=36, iter=13100/90000, loss=1.1700, lr=0.000043, batch_cost=0.5216, reader_cost=0.03555, ips=1.9171 samples/sec | ETA 11:08:32 2021-04-18 23:47:15 [INFO] [LOSS] loss=1.1700, semantic_loss=0.4629, center_loss=0.1982, offset_loss=0.5089 2021-04-18 23:48:04 [INFO] [TRAIN] epoch=36, iter=13200/90000, loss=0.9705, lr=0.000043, batch_cost=0.4902, reader_cost=0.00062, ips=2.0399 samples/sec | ETA 10:27:28 2021-04-18 23:48:04 [INFO] [LOSS] loss=0.9705, semantic_loss=0.4861, center_loss=0.2076, offset_loss=0.2767 2021-04-18 23:48:54 [INFO] [TRAIN] epoch=36, iter=13300/90000, loss=1.4286, lr=0.000043, batch_cost=0.4952, reader_cost=0.00033, ips=2.0195 samples/sec | ETA 10:33:00 2021-04-18 23:48:54 [INFO] [LOSS] loss=1.4286, semantic_loss=0.4828, center_loss=0.2482, offset_loss=0.6976 2021-04-18 23:49:47 [INFO] [TRAIN] epoch=37, iter=13400/90000, loss=1.4669, lr=0.000043, batch_cost=0.5299, reader_cost=0.03720, ips=1.8871 samples/sec | ETA 11:16:30 2021-04-18 23:49:47 [INFO] [LOSS] loss=1.4669, semantic_loss=0.5169, center_loss=0.1896, offset_loss=0.7604 2021-04-18 23:50:37 [INFO] [TRAIN] epoch=37, iter=13500/90000, loss=1.1266, lr=0.000043, batch_cost=0.4944, reader_cost=0.00087, ips=2.0227 samples/sec | ETA 10:30:20 2021-04-18 23:50:37 [INFO] [LOSS] loss=1.1266, semantic_loss=0.4851, center_loss=0.1768, offset_loss=0.4646 2021-04-18 23:51:26 [INFO] [TRAIN] epoch=37, iter=13600/90000, loss=1.2806, lr=0.000043, batch_cost=0.4944, reader_cost=0.00055, ips=2.0226 samples/sec | ETA 10:29:33 2021-04-18 23:51:26 [INFO] [LOSS] loss=1.2806, semantic_loss=0.5160, center_loss=0.1842, offset_loss=0.5804 2021-04-18 23:52:16 [INFO] [TRAIN] epoch=37, iter=13700/90000, loss=1.1399, lr=0.000043, batch_cost=0.4988, reader_cost=0.00035, ips=2.0047 samples/sec | ETA 10:34:19 2021-04-18 23:52:16 [INFO] [LOSS] loss=1.1399, semantic_loss=0.4677, center_loss=0.1955, offset_loss=0.4767 2021-04-18 23:53:09 [INFO] [TRAIN] epoch=38, iter=13800/90000, loss=1.8489, lr=0.000043, batch_cost=0.5255, reader_cost=0.03333, ips=1.9028 samples/sec | ETA 11:07:25 2021-04-18 23:53:09 [INFO] [LOSS] loss=1.8489, semantic_loss=0.5000, center_loss=0.1680, offset_loss=1.1809 2021-04-18 23:53:58 [INFO] [TRAIN] epoch=38, iter=13900/90000, loss=1.0688, lr=0.000043, batch_cost=0.4912, reader_cost=0.00072, ips=2.0359 samples/sec | ETA 10:22:59 2021-04-18 23:53:58 [INFO] [LOSS] loss=1.0688, semantic_loss=0.4785, center_loss=0.2019, offset_loss=0.3884 2021-04-18 23:54:48 [INFO] [TRAIN] epoch=38, iter=14000/90000, loss=0.9819, lr=0.000043, batch_cost=0.4941, reader_cost=0.00036, ips=2.0238 samples/sec | ETA 10:25:52 2021-04-18 23:54:48 [INFO] [LOSS] loss=0.9819, semantic_loss=0.4060, center_loss=0.2049, offset_loss=0.3710 2021-04-18 23:55:38 [INFO] [TRAIN] epoch=38, iter=14100/90000, loss=1.1074, lr=0.000043, batch_cost=0.4984, reader_cost=0.00077, ips=2.0064 samples/sec | ETA 10:30:28 2021-04-18 23:55:38 [INFO] [LOSS] loss=1.1074, semantic_loss=0.5374, center_loss=0.2012, offset_loss=0.3687 2021-04-18 23:56:31 [INFO] [TRAIN] epoch=39, iter=14200/90000, loss=1.2078, lr=0.000043, batch_cost=0.5284, reader_cost=0.03570, ips=1.8926 samples/sec | ETA 11:07:29 2021-04-18 23:56:31 [INFO] [LOSS] loss=1.2078, semantic_loss=0.5318, center_loss=0.1712, offset_loss=0.5048 2021-04-18 23:57:20 [INFO] [TRAIN] epoch=39, iter=14300/90000, loss=1.0772, lr=0.000043, batch_cost=0.4939, reader_cost=0.00088, ips=2.0245 samples/sec | ETA 10:23:11 2021-04-18 23:57:20 [INFO] [LOSS] loss=1.0772, semantic_loss=0.4876, center_loss=0.2131, offset_loss=0.3765 2021-04-18 23:58:10 [INFO] [TRAIN] epoch=39, iter=14400/90000, loss=1.1570, lr=0.000043, batch_cost=0.4937, reader_cost=0.00108, ips=2.0254 samples/sec | ETA 10:22:05 2021-04-18 23:58:10 [INFO] [LOSS] loss=1.1570, semantic_loss=0.4224, center_loss=0.2119, offset_loss=0.5228 2021-04-18 23:58:59 [INFO] [TRAIN] epoch=39, iter=14500/90000, loss=1.5574, lr=0.000043, batch_cost=0.4922, reader_cost=0.00078, ips=2.0319 samples/sec | ETA 10:19:18 2021-04-18 23:58:59 [INFO] [LOSS] loss=1.5574, semantic_loss=0.5160, center_loss=0.1956, offset_loss=0.8458 2021-04-18 23:59:52 [INFO] [TRAIN] epoch=40, iter=14600/90000, loss=0.9339, lr=0.000043, batch_cost=0.5260, reader_cost=0.03544, ips=1.9012 samples/sec | ETA 11:01:00 2021-04-18 23:59:52 [INFO] [LOSS] loss=0.9339, semantic_loss=0.4514, center_loss=0.1932, offset_loss=0.2893 2021-04-19 00:00:41 [INFO] [TRAIN] epoch=40, iter=14700/90000, loss=1.1208, lr=0.000043, batch_cost=0.4924, reader_cost=0.00089, ips=2.0308 samples/sec | ETA 10:17:58 2021-04-19 00:00:41 [INFO] [LOSS] loss=1.1208, semantic_loss=0.4658, center_loss=0.1691, offset_loss=0.4859 2021-04-19 00:01:31 [INFO] [TRAIN] epoch=40, iter=14800/90000, loss=1.2377, lr=0.000043, batch_cost=0.4956, reader_cost=0.00135, ips=2.0180 samples/sec | ETA 10:21:05 2021-04-19 00:01:31 [INFO] [LOSS] loss=1.2377, semantic_loss=0.4938, center_loss=0.1971, offset_loss=0.5468 2021-04-19 00:02:24 [INFO] [TRAIN] epoch=41, iter=14900/90000, loss=0.9410, lr=0.000042, batch_cost=0.5292, reader_cost=0.03608, ips=1.8897 samples/sec | ETA 11:02:21 2021-04-19 00:02:24 [INFO] [LOSS] loss=0.9410, semantic_loss=0.4280, center_loss=0.1644, offset_loss=0.3487 2021-04-19 00:03:13 [INFO] [TRAIN] epoch=41, iter=15000/90000, loss=1.1892, lr=0.000042, batch_cost=0.4942, reader_cost=0.00054, ips=2.0234 samples/sec | ETA 10:17:46 2021-04-19 00:03:13 [INFO] [LOSS] loss=1.1892, semantic_loss=0.4708, center_loss=0.2173, offset_loss=0.5011 2021-04-19 00:04:10 [INFO] [TRAIN] epoch=41, iter=15100/90000, loss=1.2303, lr=0.000042, batch_cost=0.4940, reader_cost=0.00093, ips=2.0244 samples/sec | ETA 10:16:38 2021-04-19 00:04:10 [INFO] [LOSS] loss=1.2303, semantic_loss=0.4303, center_loss=0.1525, offset_loss=0.6475 2021-04-19 00:05:00 [INFO] [TRAIN] epoch=41, iter=15200/90000, loss=1.0394, lr=0.000042, batch_cost=0.4950, reader_cost=0.00106, ips=2.0200 samples/sec | ETA 10:17:08 2021-04-19 00:05:00 [INFO] [LOSS] loss=1.0394, semantic_loss=0.5059, center_loss=0.1949, offset_loss=0.3386 2021-04-19 00:05:52 [INFO] [TRAIN] epoch=42, iter=15300/90000, loss=0.9499, lr=0.000042, batch_cost=0.5217, reader_cost=0.03627, ips=1.9170 samples/sec | ETA 10:49:27 2021-04-19 00:05:52 [INFO] [LOSS] loss=0.9499, semantic_loss=0.4720, center_loss=0.1810, offset_loss=0.2969 2021-04-19 00:06:42 [INFO] [TRAIN] epoch=42, iter=15400/90000, loss=1.1434, lr=0.000042, batch_cost=0.4949, reader_cost=0.00095, ips=2.0205 samples/sec | ETA 10:15:21 2021-04-19 00:06:42 [INFO] [LOSS] loss=1.1434, semantic_loss=0.4730, center_loss=0.1864, offset_loss=0.4840 2021-04-19 00:07:31 [INFO] [TRAIN] epoch=42, iter=15500/90000, loss=1.0942, lr=0.000042, batch_cost=0.4942, reader_cost=0.00066, ips=2.0237 samples/sec | ETA 10:13:34 2021-04-19 00:07:31 [INFO] [LOSS] loss=1.0942, semantic_loss=0.4374, center_loss=0.1936, offset_loss=0.4632 2021-04-19 00:08:21 [INFO] [TRAIN] epoch=42, iter=15600/90000, loss=1.0324, lr=0.000042, batch_cost=0.4959, reader_cost=0.00117, ips=2.0164 samples/sec | ETA 10:14:56 2021-04-19 00:08:21 [INFO] [LOSS] loss=1.0324, semantic_loss=0.5309, center_loss=0.1620, offset_loss=0.3395 2021-04-19 00:09:14 [INFO] [TRAIN] epoch=43, iter=15700/90000, loss=1.1129, lr=0.000042, batch_cost=0.5285, reader_cost=0.03636, ips=1.8922 samples/sec | ETA 10:54:26 2021-04-19 00:09:14 [INFO] [LOSS] loss=1.1129, semantic_loss=0.4824, center_loss=0.2029, offset_loss=0.4276 2021-04-19 00:10:03 [INFO] [TRAIN] epoch=43, iter=15800/90000, loss=1.3046, lr=0.000042, batch_cost=0.4908, reader_cost=0.00105, ips=2.0376 samples/sec | ETA 10:06:56 2021-04-19 00:10:03 [INFO] [LOSS] loss=1.3046, semantic_loss=0.4682, center_loss=0.1780, offset_loss=0.6584 2021-04-19 00:10:53 [INFO] [TRAIN] epoch=43, iter=15900/90000, loss=1.2041, lr=0.000042, batch_cost=0.4927, reader_cost=0.00047, ips=2.0297 samples/sec | ETA 10:08:28 2021-04-19 00:10:53 [INFO] [LOSS] loss=1.2041, semantic_loss=0.4258, center_loss=0.2324, offset_loss=0.5460 2021-04-19 00:11:46 [INFO] [TRAIN] epoch=44, iter=16000/90000, loss=1.0709, lr=0.000042, batch_cost=0.5359, reader_cost=0.03078, ips=1.8661 samples/sec | ETA 11:00:54 2021-04-19 00:11:46 [INFO] [LOSS] loss=1.0709, semantic_loss=0.4822, center_loss=0.1811, offset_loss=0.4077 2021-04-19 00:12:36 [INFO] [TRAIN] epoch=44, iter=16100/90000, loss=0.9466, lr=0.000042, batch_cost=0.4936, reader_cost=0.00034, ips=2.0260 samples/sec | ETA 10:07:55 2021-04-19 00:12:36 [INFO] [LOSS] loss=0.9466, semantic_loss=0.4380, center_loss=0.2028, offset_loss=0.3058 2021-04-19 00:13:26 [INFO] [TRAIN] epoch=44, iter=16200/90000, loss=1.0220, lr=0.000042, batch_cost=0.4957, reader_cost=0.00067, ips=2.0172 samples/sec | ETA 10:09:46 2021-04-19 00:13:26 [INFO] [LOSS] loss=1.0220, semantic_loss=0.4752, center_loss=0.1442, offset_loss=0.4026 2021-04-19 00:14:15 [INFO] [TRAIN] epoch=44, iter=16300/90000, loss=1.1284, lr=0.000042, batch_cost=0.4956, reader_cost=0.00089, ips=2.0176 samples/sec | ETA 10:08:49 2021-04-19 00:14:15 [INFO] [LOSS] loss=1.1284, semantic_loss=0.4378, center_loss=0.1639, offset_loss=0.5267 2021-04-19 00:15:08 [INFO] [TRAIN] epoch=45, iter=16400/90000, loss=1.0320, lr=0.000042, batch_cost=0.5299, reader_cost=0.03765, ips=1.8872 samples/sec | ETA 10:49:58 2021-04-19 00:15:08 [INFO] [LOSS] loss=1.0320, semantic_loss=0.4698, center_loss=0.1794, offset_loss=0.3829 2021-04-19 00:15:58 [INFO] [TRAIN] epoch=45, iter=16500/90000, loss=1.1139, lr=0.000042, batch_cost=0.4896, reader_cost=0.00100, ips=2.0425 samples/sec | ETA 09:59:45 2021-04-19 00:15:58 [INFO] [LOSS] loss=1.1139, semantic_loss=0.4960, center_loss=0.1876, offset_loss=0.4303 2021-04-19 00:16:47 [INFO] [TRAIN] epoch=45, iter=16600/90000, loss=0.9721, lr=0.000042, batch_cost=0.4939, reader_cost=0.00088, ips=2.0247 samples/sec | ETA 10:04:12 2021-04-19 00:16:47 [INFO] [LOSS] loss=0.9721, semantic_loss=0.4123, center_loss=0.1744, offset_loss=0.3854 2021-04-19 00:17:37 [INFO] [TRAIN] epoch=45, iter=16700/90000, loss=0.9836, lr=0.000042, batch_cost=0.4940, reader_cost=0.00071, ips=2.0242 samples/sec | ETA 10:03:31 2021-04-19 00:17:37 [INFO] [LOSS] loss=0.9836, semantic_loss=0.4865, center_loss=0.1675, offset_loss=0.3295 2021-04-19 00:18:30 [INFO] [TRAIN] epoch=46, iter=16800/90000, loss=1.2522, lr=0.000042, batch_cost=0.5278, reader_cost=0.03776, ips=1.8947 samples/sec | ETA 10:43:53 2021-04-19 00:18:30 [INFO] [LOSS] loss=1.2522, semantic_loss=0.5649, center_loss=0.1722, offset_loss=0.5151 2021-04-19 00:19:19 [INFO] [TRAIN] epoch=46, iter=16900/90000, loss=1.4983, lr=0.000041, batch_cost=0.4923, reader_cost=0.00104, ips=2.0313 samples/sec | ETA 09:59:47 2021-04-19 00:19:19 [INFO] [LOSS] loss=1.4983, semantic_loss=0.4661, center_loss=0.1730, offset_loss=0.8592 2021-04-19 00:20:08 [INFO] [TRAIN] epoch=46, iter=17000/90000, loss=1.8504, lr=0.000041, batch_cost=0.4951, reader_cost=0.00086, ips=2.0198 samples/sec | ETA 10:02:21 2021-04-19 00:20:08 [INFO] [LOSS] loss=1.8504, semantic_loss=0.4246, center_loss=0.1796, offset_loss=1.2463 2021-04-19 00:20:58 [INFO] [TRAIN] epoch=46, iter=17100/90000, loss=1.0372, lr=0.000041, batch_cost=0.4925, reader_cost=0.00057, ips=2.0304 samples/sec | ETA 09:58:24 2021-04-19 00:20:58 [INFO] [LOSS] loss=1.0372, semantic_loss=0.5095, center_loss=0.1606, offset_loss=0.3670 2021-04-19 00:21:50 [INFO] [TRAIN] epoch=47, iter=17200/90000, loss=1.3877, lr=0.000041, batch_cost=0.5236, reader_cost=0.03184, ips=1.9100 samples/sec | ETA 10:35:15 2021-04-19 00:21:50 [INFO] [LOSS] loss=1.3877, semantic_loss=0.4294, center_loss=0.1684, offset_loss=0.7898 2021-04-19 00:22:40 [INFO] [TRAIN] epoch=47, iter=17300/90000, loss=0.8435, lr=0.000041, batch_cost=0.4962, reader_cost=0.00104, ips=2.0155 samples/sec | ETA 10:01:10 2021-04-19 00:22:40 [INFO] [LOSS] loss=0.8435, semantic_loss=0.4143, center_loss=0.1661, offset_loss=0.2630 2021-04-19 00:23:30 [INFO] [TRAIN] epoch=47, iter=17400/90000, loss=2.0281, lr=0.000041, batch_cost=0.4990, reader_cost=0.00129, ips=2.0040 samples/sec | ETA 10:03:47 2021-04-19 00:23:30 [INFO] [LOSS] loss=2.0281, semantic_loss=0.4220, center_loss=0.1626, offset_loss=1.4435 2021-04-19 00:24:23 [INFO] [TRAIN] epoch=48, iter=17500/90000, loss=1.1283, lr=0.000041, batch_cost=0.5249, reader_cost=0.03433, ips=1.9050 samples/sec | ETA 10:34:17 2021-04-19 00:24:23 [INFO] [LOSS] loss=1.1283, semantic_loss=0.4483, center_loss=0.1846, offset_loss=0.4954 2021-04-19 00:25:12 [INFO] [TRAIN] epoch=48, iter=17600/90000, loss=1.4153, lr=0.000041, batch_cost=0.4951, reader_cost=0.00114, ips=2.0196 samples/sec | ETA 09:57:27 2021-04-19 00:25:12 [INFO] [LOSS] loss=1.4153, semantic_loss=0.4665, center_loss=0.2312, offset_loss=0.7176 2021-04-19 00:26:02 [INFO] [TRAIN] epoch=48, iter=17700/90000, loss=0.8932, lr=0.000041, batch_cost=0.4959, reader_cost=0.00137, ips=2.0167 samples/sec | ETA 09:57:31 2021-04-19 00:26:02 [INFO] [LOSS] loss=0.8932, semantic_loss=0.4237, center_loss=0.1690, offset_loss=0.3005 2021-04-19 00:26:52 [INFO] [TRAIN] epoch=48, iter=17800/90000, loss=1.1499, lr=0.000041, batch_cost=0.4977, reader_cost=0.00085, ips=2.0093 samples/sec | ETA 09:58:53 2021-04-19 00:26:52 [INFO] [LOSS] loss=1.1499, semantic_loss=0.4918, center_loss=0.1703, offset_loss=0.4878 2021-04-19 00:27:45 [INFO] [TRAIN] epoch=49, iter=17900/90000, loss=1.4385, lr=0.000041, batch_cost=0.5252, reader_cost=0.03461, ips=1.9040 samples/sec | ETA 10:31:08 2021-04-19 00:27:45 [INFO] [LOSS] loss=1.4385, semantic_loss=0.4493, center_loss=0.1623, offset_loss=0.8270 2021-04-19 00:28:34 [INFO] [TRAIN] epoch=49, iter=18000/90000, loss=0.8719, lr=0.000041, batch_cost=0.4950, reader_cost=0.00058, ips=2.0204 samples/sec | ETA 09:53:56 2021-04-19 00:28:34 [INFO] [LOSS] loss=0.8719, semantic_loss=0.4289, center_loss=0.1743, offset_loss=0.2686 2021-04-19 00:29:24 [INFO] [TRAIN] epoch=49, iter=18100/90000, loss=0.8936, lr=0.000041, batch_cost=0.4940, reader_cost=0.00091, ips=2.0241 samples/sec | ETA 09:52:02 2021-04-19 00:29:24 [INFO] [LOSS] loss=0.8936, semantic_loss=0.4088, center_loss=0.2007, offset_loss=0.2841 2021-04-19 00:30:14 [INFO] [TRAIN] epoch=49, iter=18200/90000, loss=1.5333, lr=0.000041, batch_cost=0.4987, reader_cost=0.00080, ips=2.0050 samples/sec | ETA 09:56:49 2021-04-19 00:30:14 [INFO] [LOSS] loss=1.5333, semantic_loss=0.4841, center_loss=0.1688, offset_loss=0.8804 2021-04-19 00:31:07 [INFO] [TRAIN] epoch=50, iter=18300/90000, loss=1.0725, lr=0.000041, batch_cost=0.5340, reader_cost=0.03529, ips=1.8726 samples/sec | ETA 10:38:09 2021-04-19 00:31:07 [INFO] [LOSS] loss=1.0725, semantic_loss=0.4066, center_loss=0.1664, offset_loss=0.4996 2021-04-19 00:31:57 [INFO] [TRAIN] epoch=50, iter=18400/90000, loss=1.0660, lr=0.000041, batch_cost=0.4950, reader_cost=0.00072, ips=2.0202 samples/sec | ETA 09:50:42 2021-04-19 00:31:57 [INFO] [LOSS] loss=1.0660, semantic_loss=0.4271, center_loss=0.1778, offset_loss=0.4611 2021-04-19 00:32:47 [INFO] [TRAIN] epoch=50, iter=18500/90000, loss=1.9039, lr=0.000041, batch_cost=0.4960, reader_cost=0.00098, ips=2.0162 samples/sec | ETA 09:51:02 2021-04-19 00:32:47 [INFO] [LOSS] loss=1.9039, semantic_loss=0.4168, center_loss=0.2138, offset_loss=1.2733 2021-04-19 00:33:36 [INFO] [TRAIN] epoch=50, iter=18600/90000, loss=0.9740, lr=0.000041, batch_cost=0.4891, reader_cost=0.00061, ips=2.0446 samples/sec | ETA 09:42:01 2021-04-19 00:33:36 [INFO] [LOSS] loss=0.9740, semantic_loss=0.4654, center_loss=0.1646, offset_loss=0.3439 2021-04-19 00:34:29 [INFO] [TRAIN] epoch=51, iter=18700/90000, loss=0.9759, lr=0.000041, batch_cost=0.5291, reader_cost=0.03120, ips=1.8900 samples/sec | ETA 10:28:43 2021-04-19 00:34:29 [INFO] [LOSS] loss=0.9759, semantic_loss=0.4142, center_loss=0.1918, offset_loss=0.3699 2021-04-19 00:35:18 [INFO] [TRAIN] epoch=51, iter=18800/90000, loss=0.9955, lr=0.000040, batch_cost=0.4939, reader_cost=0.00096, ips=2.0248 samples/sec | ETA 09:46:04 2021-04-19 00:35:18 [INFO] [LOSS] loss=0.9955, semantic_loss=0.4116, center_loss=0.2037, offset_loss=0.3802 2021-04-19 00:36:08 [INFO] [TRAIN] epoch=51, iter=18900/90000, loss=0.8290, lr=0.000040, batch_cost=0.4963, reader_cost=0.00134, ips=2.0149 samples/sec | ETA 09:48:07 2021-04-19 00:36:08 [INFO] [LOSS] loss=0.8290, semantic_loss=0.4471, center_loss=0.1408, offset_loss=0.2412 2021-04-19 00:37:01 [INFO] [TRAIN] epoch=52, iter=19000/90000, loss=0.9060, lr=0.000040, batch_cost=0.5269, reader_cost=0.03524, ips=1.8981 samples/sec | ETA 10:23:26 2021-04-19 00:37:01 [INFO] [LOSS] loss=0.9060, semantic_loss=0.4382, center_loss=0.1558, offset_loss=0.3121 2021-04-19 00:37:50 [INFO] [TRAIN] epoch=52, iter=19100/90000, loss=0.8677, lr=0.000040, batch_cost=0.4929, reader_cost=0.00074, ips=2.0288 samples/sec | ETA 09:42:27 2021-04-19 00:37:50 [INFO] [LOSS] loss=0.8677, semantic_loss=0.4151, center_loss=0.1891, offset_loss=0.2635 2021-04-19 00:38:40 [INFO] [TRAIN] epoch=52, iter=19200/90000, loss=0.8157, lr=0.000040, batch_cost=0.4944, reader_cost=0.00067, ips=2.0226 samples/sec | ETA 09:43:24 2021-04-19 00:38:40 [INFO] [LOSS] loss=0.8157, semantic_loss=0.3829, center_loss=0.1765, offset_loss=0.2564 2021-04-19 00:39:30 [INFO] [TRAIN] epoch=52, iter=19300/90000, loss=0.9259, lr=0.000040, batch_cost=0.4963, reader_cost=0.00084, ips=2.0149 samples/sec | ETA 09:44:47 2021-04-19 00:39:30 [INFO] [LOSS] loss=0.9259, semantic_loss=0.4706, center_loss=0.1540, offset_loss=0.3013 2021-04-19 00:40:23 [INFO] [TRAIN] epoch=53, iter=19400/90000, loss=1.1390, lr=0.000040, batch_cost=0.5319, reader_cost=0.04448, ips=1.8802 samples/sec | ETA 10:25:49 2021-04-19 00:40:23 [INFO] [LOSS] loss=1.1390, semantic_loss=0.4396, center_loss=0.1703, offset_loss=0.5291 2021-04-19 00:41:12 [INFO] [TRAIN] epoch=53, iter=19500/90000, loss=1.0112, lr=0.000040, batch_cost=0.4943, reader_cost=0.00080, ips=2.0232 samples/sec | ETA 09:40:45 2021-04-19 00:41:12 [INFO] [LOSS] loss=1.0112, semantic_loss=0.4124, center_loss=0.1762, offset_loss=0.4227 2021-04-19 00:42:02 [INFO] [TRAIN] epoch=53, iter=19600/90000, loss=1.8118, lr=0.000040, batch_cost=0.4945, reader_cost=0.00131, ips=2.0222 samples/sec | ETA 09:40:13 2021-04-19 00:42:02 [INFO] [LOSS] loss=1.8118, semantic_loss=0.3651, center_loss=0.1753, offset_loss=1.2714 2021-04-19 00:42:52 [INFO] [TRAIN] epoch=53, iter=19700/90000, loss=0.9547, lr=0.000040, batch_cost=0.4984, reader_cost=0.00091, ips=2.0063 samples/sec | ETA 09:43:59 2021-04-19 00:42:52 [INFO] [LOSS] loss=0.9547, semantic_loss=0.4759, center_loss=0.1667, offset_loss=0.3120 2021-04-19 00:43:44 [INFO] [TRAIN] epoch=54, iter=19800/90000, loss=0.9044, lr=0.000040, batch_cost=0.5222, reader_cost=0.03652, ips=1.9151 samples/sec | ETA 10:10:55 2021-04-19 00:43:44 [INFO] [LOSS] loss=0.9044, semantic_loss=0.3875, center_loss=0.1822, offset_loss=0.3347 2021-04-19 00:44:34 [INFO] [TRAIN] epoch=54, iter=19900/90000, loss=0.9231, lr=0.000040, batch_cost=0.4929, reader_cost=0.00108, ips=2.0288 samples/sec | ETA 09:35:52 2021-04-19 00:44:34 [INFO] [LOSS] loss=0.9231, semantic_loss=0.4230, center_loss=0.1877, offset_loss=0.3124 2021-04-19 00:45:23 [INFO] [TRAIN] epoch=54, iter=20000/90000, loss=0.7987, lr=0.000040, batch_cost=0.4956, reader_cost=0.00055, ips=2.0179 samples/sec | ETA 09:38:09 2021-04-19 00:45:23 [INFO] [LOSS] loss=0.7987, semantic_loss=0.4155, center_loss=0.1624, offset_loss=0.2208 2021-04-19 00:46:23 [INFO] [TRAIN] epoch=55, iter=20100/90000, loss=0.8892, lr=0.000040, batch_cost=0.5220, reader_cost=0.03494, ips=1.9156 samples/sec | ETA 10:08:09 2021-04-19 00:46:23 [INFO] [LOSS] loss=0.8892, semantic_loss=0.4714, center_loss=0.1586, offset_loss=0.2592 2021-04-19 00:47:12 [INFO] [TRAIN] epoch=55, iter=20200/90000, loss=0.8955, lr=0.000040, batch_cost=0.4925, reader_cost=0.00114, ips=2.0305 samples/sec | ETA 09:32:55 2021-04-19 00:47:12 [INFO] [LOSS] loss=0.8955, semantic_loss=0.4003, center_loss=0.1698, offset_loss=0.3254 2021-04-19 00:48:02 [INFO] [TRAIN] epoch=55, iter=20300/90000, loss=0.9204, lr=0.000040, batch_cost=0.4914, reader_cost=0.00082, ips=2.0351 samples/sec | ETA 09:30:48 2021-04-19 00:48:02 [INFO] [LOSS] loss=0.9204, semantic_loss=0.4218, center_loss=0.1758, offset_loss=0.3227 2021-04-19 00:48:51 [INFO] [TRAIN] epoch=55, iter=20400/90000, loss=0.8771, lr=0.000040, batch_cost=0.4947, reader_cost=0.00108, ips=2.0213 samples/sec | ETA 09:33:52 2021-04-19 00:48:51 [INFO] [LOSS] loss=0.8771, semantic_loss=0.3950, center_loss=0.1920, offset_loss=0.2901 2021-04-19 00:49:44 [INFO] [TRAIN] epoch=56, iter=20500/90000, loss=0.9722, lr=0.000040, batch_cost=0.5259, reader_cost=0.03767, ips=1.9014 samples/sec | ETA 10:09:11 2021-04-19 00:49:44 [INFO] [LOSS] loss=0.9722, semantic_loss=0.4476, center_loss=0.1411, offset_loss=0.3835 2021-04-19 00:50:33 [INFO] [TRAIN] epoch=56, iter=20600/90000, loss=0.9029, lr=0.000040, batch_cost=0.4913, reader_cost=0.00068, ips=2.0355 samples/sec | ETA 09:28:14 2021-04-19 00:50:33 [INFO] [LOSS] loss=0.9029, semantic_loss=0.4091, center_loss=0.2099, offset_loss=0.2839 2021-04-19 00:51:23 [INFO] [TRAIN] epoch=56, iter=20700/90000, loss=0.8686, lr=0.000040, batch_cost=0.4944, reader_cost=0.00085, ips=2.0226 samples/sec | ETA 09:31:03 2021-04-19 00:51:23 [INFO] [LOSS] loss=0.8686, semantic_loss=0.4295, center_loss=0.1731, offset_loss=0.2660 2021-04-19 00:52:13 [INFO] [TRAIN] epoch=56, iter=20800/90000, loss=0.9377, lr=0.000039, batch_cost=0.4975, reader_cost=0.00063, ips=2.0101 samples/sec | ETA 09:33:46 2021-04-19 00:52:13 [INFO] [LOSS] loss=0.9377, semantic_loss=0.4239, center_loss=0.1593, offset_loss=0.3545 2021-04-19 00:53:05 [INFO] [TRAIN] epoch=57, iter=20900/90000, loss=1.2377, lr=0.000039, batch_cost=0.5245, reader_cost=0.03349, ips=1.9066 samples/sec | ETA 10:04:02 2021-04-19 00:53:05 [INFO] [LOSS] loss=1.2377, semantic_loss=0.4641, center_loss=0.1652, offset_loss=0.6085 2021-04-19 00:53:55 [INFO] [TRAIN] epoch=57, iter=21000/90000, loss=1.1212, lr=0.000039, batch_cost=0.4921, reader_cost=0.00077, ips=2.0319 samples/sec | ETA 09:25:57 2021-04-19 00:53:55 [INFO] [LOSS] loss=1.1212, semantic_loss=0.4070, center_loss=0.1693, offset_loss=0.5450 2021-04-19 00:54:44 [INFO] [TRAIN] epoch=57, iter=21100/90000, loss=0.9638, lr=0.000039, batch_cost=0.4939, reader_cost=0.00123, ips=2.0249 samples/sec | ETA 09:27:06 2021-04-19 00:54:44 [INFO] [LOSS] loss=0.9638, semantic_loss=0.4031, center_loss=0.1632, offset_loss=0.3974 2021-04-19 00:55:34 [INFO] [TRAIN] epoch=57, iter=21200/90000, loss=0.8854, lr=0.000039, batch_cost=0.4932, reader_cost=0.00090, ips=2.0274 samples/sec | ETA 09:25:35 2021-04-19 00:55:34 [INFO] [LOSS] loss=0.8854, semantic_loss=0.4525, center_loss=0.1746, offset_loss=0.2583 2021-04-19 00:56:26 [INFO] [TRAIN] epoch=58, iter=21300/90000, loss=1.0208, lr=0.000039, batch_cost=0.5221, reader_cost=0.03300, ips=1.9152 samples/sec | ETA 09:57:50 2021-04-19 00:56:26 [INFO] [LOSS] loss=1.0208, semantic_loss=0.4143, center_loss=0.1459, offset_loss=0.4606 2021-04-19 00:57:16 [INFO] [TRAIN] epoch=58, iter=21400/90000, loss=0.8308, lr=0.000039, batch_cost=0.4950, reader_cost=0.00084, ips=2.0201 samples/sec | ETA 09:25:58 2021-04-19 00:57:16 [INFO] [LOSS] loss=0.8308, semantic_loss=0.3832, center_loss=0.1650, offset_loss=0.2825 2021-04-19 00:58:06 [INFO] [TRAIN] epoch=58, iter=21500/90000, loss=1.1811, lr=0.000039, batch_cost=0.4987, reader_cost=0.00081, ips=2.0050 samples/sec | ETA 09:29:24 2021-04-19 00:58:06 [INFO] [LOSS] loss=1.1811, semantic_loss=0.4879, center_loss=0.1525, offset_loss=0.5406 2021-04-19 00:58:58 [INFO] [TRAIN] epoch=59, iter=21600/90000, loss=0.8153, lr=0.000039, batch_cost=0.5280, reader_cost=0.03289, ips=1.8938 samples/sec | ETA 10:01:57 2021-04-19 00:58:58 [INFO] [LOSS] loss=0.8153, semantic_loss=0.3871, center_loss=0.1476, offset_loss=0.2806 2021-04-19 00:59:48 [INFO] [TRAIN] epoch=59, iter=21700/90000, loss=0.7392, lr=0.000039, batch_cost=0.4901, reader_cost=0.00079, ips=2.0405 samples/sec | ETA 09:17:52 2021-04-19 00:59:48 [INFO] [LOSS] loss=0.7392, semantic_loss=0.3532, center_loss=0.1583, offset_loss=0.2277 2021-04-19 01:00:37 [INFO] [TRAIN] epoch=59, iter=21800/90000, loss=0.7808, lr=0.000039, batch_cost=0.4922, reader_cost=0.00067, ips=2.0316 samples/sec | ETA 09:19:30 2021-04-19 01:00:37 [INFO] [LOSS] loss=0.7808, semantic_loss=0.3961, center_loss=0.1644, offset_loss=0.2203 2021-04-19 01:01:27 [INFO] [TRAIN] epoch=59, iter=21900/90000, loss=1.5595, lr=0.000039, batch_cost=0.4977, reader_cost=0.00097, ips=2.0092 samples/sec | ETA 09:24:53 2021-04-19 01:01:27 [INFO] [LOSS] loss=1.5595, semantic_loss=0.3975, center_loss=0.1707, offset_loss=0.9912 2021-04-19 01:02:19 [INFO] [TRAIN] epoch=60, iter=22000/90000, loss=1.5572, lr=0.000039, batch_cost=0.5253, reader_cost=0.03339, ips=1.9035 samples/sec | ETA 09:55:23 2021-04-19 01:02:19 [INFO] [LOSS] loss=1.5572, semantic_loss=0.4591, center_loss=0.1295, offset_loss=0.9685 2021-04-19 01:03:09 [INFO] [TRAIN] epoch=60, iter=22100/90000, loss=0.8395, lr=0.000039, batch_cost=0.4959, reader_cost=0.00117, ips=2.0165 samples/sec | ETA 09:21:12 2021-04-19 01:03:09 [INFO] [LOSS] loss=0.8395, semantic_loss=0.3808, center_loss=0.1928, offset_loss=0.2659 2021-04-19 01:03:59 [INFO] [TRAIN] epoch=60, iter=22200/90000, loss=0.7988, lr=0.000039, batch_cost=0.4926, reader_cost=0.00147, ips=2.0301 samples/sec | ETA 09:16:38 2021-04-19 01:03:59 [INFO] [LOSS] loss=0.7988, semantic_loss=0.4170, center_loss=0.1536, offset_loss=0.2282 2021-04-19 01:04:48 [INFO] [TRAIN] epoch=60, iter=22300/90000, loss=0.8739, lr=0.000039, batch_cost=0.4970, reader_cost=0.00045, ips=2.0120 samples/sec | ETA 09:20:48 2021-04-19 01:04:48 [INFO] [LOSS] loss=0.8739, semantic_loss=0.4195, center_loss=0.1639, offset_loss=0.2905 2021-04-19 01:05:42 [INFO] [TRAIN] epoch=61, iter=22400/90000, loss=0.8065, lr=0.000039, batch_cost=0.5312, reader_cost=0.03458, ips=1.8825 samples/sec | ETA 09:58:30 2021-04-19 01:05:42 [INFO] [LOSS] loss=0.8065, semantic_loss=0.3789, center_loss=0.1515, offset_loss=0.2761 2021-04-19 01:06:31 [INFO] [TRAIN] epoch=61, iter=22500/90000, loss=1.4854, lr=0.000039, batch_cost=0.4940, reader_cost=0.00115, ips=2.0245 samples/sec | ETA 09:15:42 2021-04-19 01:06:31 [INFO] [LOSS] loss=1.4854, semantic_loss=0.4476, center_loss=0.1732, offset_loss=0.8646 2021-04-19 01:07:21 [INFO] [TRAIN] epoch=61, iter=22600/90000, loss=0.8148, lr=0.000039, batch_cost=0.4966, reader_cost=0.00075, ips=2.0135 samples/sec | ETA 09:17:53 2021-04-19 01:07:21 [INFO] [LOSS] loss=0.8148, semantic_loss=0.3925, center_loss=0.1855, offset_loss=0.2368 2021-04-19 01:08:14 [INFO] [TRAIN] epoch=62, iter=22700/90000, loss=0.8293, lr=0.000038, batch_cost=0.5247, reader_cost=0.03559, ips=1.9060 samples/sec | ETA 09:48:30 2021-04-19 01:08:14 [INFO] [LOSS] loss=0.8293, semantic_loss=0.4154, center_loss=0.1561, offset_loss=0.2578 2021-04-19 01:09:03 [INFO] [TRAIN] epoch=62, iter=22800/90000, loss=0.9170, lr=0.000038, batch_cost=0.4914, reader_cost=0.00082, ips=2.0349 samples/sec | ETA 09:10:23 2021-04-19 01:09:03 [INFO] [LOSS] loss=0.9170, semantic_loss=0.3950, center_loss=0.1559, offset_loss=0.3661 2021-04-19 01:09:53 [INFO] [TRAIN] epoch=62, iter=22900/90000, loss=0.8390, lr=0.000038, batch_cost=0.4949, reader_cost=0.00064, ips=2.0205 samples/sec | ETA 09:13:29 2021-04-19 01:09:53 [INFO] [LOSS] loss=0.8390, semantic_loss=0.3782, center_loss=0.2017, offset_loss=0.2590 2021-04-19 01:10:42 [INFO] [TRAIN] epoch=62, iter=23000/90000, loss=0.9031, lr=0.000038, batch_cost=0.4971, reader_cost=0.00048, ips=2.0117 samples/sec | ETA 09:15:04 2021-04-19 01:10:42 [INFO] [LOSS] loss=0.9031, semantic_loss=0.4034, center_loss=0.1718, offset_loss=0.3278 2021-04-19 01:11:35 [INFO] [TRAIN] epoch=63, iter=23100/90000, loss=0.8066, lr=0.000038, batch_cost=0.5262, reader_cost=0.03599, ips=1.9003 samples/sec | ETA 09:46:45 2021-04-19 01:11:35 [INFO] [LOSS] loss=0.8066, semantic_loss=0.3994, center_loss=0.1583, offset_loss=0.2489 2021-04-19 01:12:25 [INFO] [TRAIN] epoch=63, iter=23200/90000, loss=0.9927, lr=0.000038, batch_cost=0.4949, reader_cost=0.00083, ips=2.0208 samples/sec | ETA 09:10:56 2021-04-19 01:12:25 [INFO] [LOSS] loss=0.9927, semantic_loss=0.3992, center_loss=0.2101, offset_loss=0.3834 2021-04-19 01:13:14 [INFO] [TRAIN] epoch=63, iter=23300/90000, loss=0.8673, lr=0.000038, batch_cost=0.4932, reader_cost=0.00090, ips=2.0277 samples/sec | ETA 09:08:14 2021-04-19 01:13:14 [INFO] [LOSS] loss=0.8673, semantic_loss=0.4142, center_loss=0.1751, offset_loss=0.2780 2021-04-19 01:14:04 [INFO] [TRAIN] epoch=63, iter=23400/90000, loss=0.8162, lr=0.000038, batch_cost=0.4955, reader_cost=0.00058, ips=2.0183 samples/sec | ETA 09:09:58 2021-04-19 01:14:04 [INFO] [LOSS] loss=0.8162, semantic_loss=0.4109, center_loss=0.1609, offset_loss=0.2444 2021-04-19 01:14:56 [INFO] [TRAIN] epoch=64, iter=23500/90000, loss=0.8770, lr=0.000038, batch_cost=0.5243, reader_cost=0.03371, ips=1.9072 samples/sec | ETA 09:41:07 2021-04-19 01:14:56 [INFO] [LOSS] loss=0.8770, semantic_loss=0.4246, center_loss=0.1337, offset_loss=0.3187 2021-04-19 01:15:46 [INFO] [TRAIN] epoch=64, iter=23600/90000, loss=0.9348, lr=0.000038, batch_cost=0.4930, reader_cost=0.00070, ips=2.0286 samples/sec | ETA 09:05:32 2021-04-19 01:15:46 [INFO] [LOSS] loss=0.9348, semantic_loss=0.4010, center_loss=0.1508, offset_loss=0.3831 2021-04-19 01:16:36 [INFO] [TRAIN] epoch=64, iter=23700/90000, loss=0.7432, lr=0.000038, batch_cost=0.4950, reader_cost=0.00083, ips=2.0202 samples/sec | ETA 09:06:58 2021-04-19 01:16:36 [INFO] [LOSS] loss=0.7432, semantic_loss=0.3515, center_loss=0.1817, offset_loss=0.2101 2021-04-19 01:17:25 [INFO] [TRAIN] epoch=64, iter=23800/90000, loss=0.8360, lr=0.000038, batch_cost=0.4959, reader_cost=0.00075, ips=2.0164 samples/sec | ETA 09:07:11 2021-04-19 01:17:25 [INFO] [LOSS] loss=0.8360, semantic_loss=0.4169, center_loss=0.1378, offset_loss=0.2814 2021-04-19 01:18:18 [INFO] [TRAIN] epoch=65, iter=23900/90000, loss=1.7292, lr=0.000038, batch_cost=0.5260, reader_cost=0.03482, ips=1.9012 samples/sec | ETA 09:39:27 2021-04-19 01:18:18 [INFO] [LOSS] loss=1.7292, semantic_loss=0.3766, center_loss=0.1879, offset_loss=1.1647 2021-04-19 01:19:08 [INFO] [TRAIN] epoch=65, iter=24000/90000, loss=0.8766, lr=0.000038, batch_cost=0.4968, reader_cost=0.00120, ips=2.0128 samples/sec | ETA 09:06:29 2021-04-19 01:19:08 [INFO] [LOSS] loss=0.8766, semantic_loss=0.4044, center_loss=0.1762, offset_loss=0.2960 2021-04-19 01:19:57 [INFO] [TRAIN] epoch=65, iter=24100/90000, loss=0.9979, lr=0.000038, batch_cost=0.4935, reader_cost=0.00100, ips=2.0264 samples/sec | ETA 09:02:01 2021-04-19 01:19:57 [INFO] [LOSS] loss=0.9979, semantic_loss=0.4698, center_loss=0.1887, offset_loss=0.3394 2021-04-19 01:20:50 [INFO] [TRAIN] epoch=66, iter=24200/90000, loss=0.8722, lr=0.000038, batch_cost=0.5283, reader_cost=0.03948, ips=1.8930 samples/sec | ETA 09:39:20 2021-04-19 01:20:50 [INFO] [LOSS] loss=0.8722, semantic_loss=0.4066, center_loss=0.1625, offset_loss=0.3031 2021-04-19 01:21:40 [INFO] [TRAIN] epoch=66, iter=24300/90000, loss=0.7623, lr=0.000038, batch_cost=0.4937, reader_cost=0.00088, ips=2.0256 samples/sec | ETA 09:00:34 2021-04-19 01:21:40 [INFO] [LOSS] loss=0.7623, semantic_loss=0.3799, center_loss=0.1634, offset_loss=0.2189 2021-04-19 01:22:29 [INFO] [TRAIN] epoch=66, iter=24400/90000, loss=0.8948, lr=0.000038, batch_cost=0.4960, reader_cost=0.00097, ips=2.0160 samples/sec | ETA 09:02:19 2021-04-19 01:22:29 [INFO] [LOSS] loss=0.8948, semantic_loss=0.3920, center_loss=0.1772, offset_loss=0.3257 2021-04-19 01:23:19 [INFO] [TRAIN] epoch=66, iter=24500/90000, loss=0.9956, lr=0.000038, batch_cost=0.4975, reader_cost=0.00085, ips=2.0101 samples/sec | ETA 09:03:06 2021-04-19 01:23:19 [INFO] [LOSS] loss=0.9956, semantic_loss=0.3816, center_loss=0.1806, offset_loss=0.4334 2021-04-19 01:24:12 [INFO] [TRAIN] epoch=67, iter=24600/90000, loss=0.8034, lr=0.000038, batch_cost=0.5223, reader_cost=0.03591, ips=1.9144 samples/sec | ETA 09:29:21 2021-04-19 01:24:12 [INFO] [LOSS] loss=0.8034, semantic_loss=0.4253, center_loss=0.1590, offset_loss=0.2191 2021-04-19 01:25:01 [INFO] [TRAIN] epoch=67, iter=24700/90000, loss=0.8503, lr=0.000037, batch_cost=0.4938, reader_cost=0.00097, ips=2.0253 samples/sec | ETA 08:57:22 2021-04-19 01:25:01 [INFO] [LOSS] loss=0.8503, semantic_loss=0.3863, center_loss=0.1958, offset_loss=0.2682 2021-04-19 01:25:51 [INFO] [TRAIN] epoch=67, iter=24800/90000, loss=1.4557, lr=0.000037, batch_cost=0.4935, reader_cost=0.00086, ips=2.0265 samples/sec | ETA 08:56:14 2021-04-19 01:25:51 [INFO] [LOSS] loss=1.4557, semantic_loss=0.3816, center_loss=0.1590, offset_loss=0.9151 2021-04-19 01:26:41 [INFO] [TRAIN] epoch=67, iter=24900/90000, loss=0.8868, lr=0.000037, batch_cost=0.4985, reader_cost=0.00113, ips=2.0059 samples/sec | ETA 09:00:54 2021-04-19 01:26:41 [INFO] [LOSS] loss=0.8868, semantic_loss=0.4659, center_loss=0.1604, offset_loss=0.2604 2021-04-19 01:27:33 [INFO] [TRAIN] epoch=68, iter=25000/90000, loss=0.8808, lr=0.000037, batch_cost=0.5224, reader_cost=0.03215, ips=1.9143 samples/sec | ETA 09:25:54 2021-04-19 01:27:33 [INFO] [LOSS] loss=0.8808, semantic_loss=0.4072, center_loss=0.1761, offset_loss=0.2975 2021-04-19 01:28:30 [INFO] [TRAIN] epoch=68, iter=25100/90000, loss=0.9950, lr=0.000037, batch_cost=0.4949, reader_cost=0.00087, ips=2.0208 samples/sec | ETA 08:55:16 2021-04-19 01:28:30 [INFO] [LOSS] loss=0.9950, semantic_loss=0.3965, center_loss=0.1699, offset_loss=0.4286 2021-04-19 01:29:20 [INFO] [TRAIN] epoch=68, iter=25200/90000, loss=1.6106, lr=0.000037, batch_cost=0.4952, reader_cost=0.00086, ips=2.0195 samples/sec | ETA 08:54:46 2021-04-19 01:29:20 [INFO] [LOSS] loss=1.6106, semantic_loss=0.4281, center_loss=0.1605, offset_loss=1.0220 2021-04-19 01:30:13 [INFO] [TRAIN] epoch=69, iter=25300/90000, loss=1.0828, lr=0.000037, batch_cost=0.5295, reader_cost=0.03469, ips=1.8887 samples/sec | ETA 09:30:56 2021-04-19 01:30:13 [INFO] [LOSS] loss=1.0828, semantic_loss=0.4321, center_loss=0.1536, offset_loss=0.4970 2021-04-19 01:31:02 [INFO] [TRAIN] epoch=69, iter=25400/90000, loss=0.9282, lr=0.000037, batch_cost=0.4911, reader_cost=0.00148, ips=2.0361 samples/sec | ETA 08:48:47 2021-04-19 01:31:02 [INFO] [LOSS] loss=0.9282, semantic_loss=0.3832, center_loss=0.1807, offset_loss=0.3643 2021-04-19 01:31:52 [INFO] [TRAIN] epoch=69, iter=25500/90000, loss=0.9519, lr=0.000037, batch_cost=0.4971, reader_cost=0.00115, ips=2.0119 samples/sec | ETA 08:54:19 2021-04-19 01:31:52 [INFO] [LOSS] loss=0.9519, semantic_loss=0.3882, center_loss=0.1543, offset_loss=0.4094 2021-04-19 01:32:41 [INFO] [TRAIN] epoch=69, iter=25600/90000, loss=0.8306, lr=0.000037, batch_cost=0.4964, reader_cost=0.00071, ips=2.0145 samples/sec | ETA 08:52:48 2021-04-19 01:32:41 [INFO] [LOSS] loss=0.8306, semantic_loss=0.3797, center_loss=0.1503, offset_loss=0.3005 2021-04-19 01:33:35 [INFO] [TRAIN] epoch=70, iter=25700/90000, loss=0.8290, lr=0.000037, batch_cost=0.5311, reader_cost=0.03405, ips=1.8829 samples/sec | ETA 09:29:08 2021-04-19 01:33:35 [INFO] [LOSS] loss=0.8290, semantic_loss=0.4024, center_loss=0.1569, offset_loss=0.2697 2021-04-19 01:34:24 [INFO] [TRAIN] epoch=70, iter=25800/90000, loss=0.7658, lr=0.000037, batch_cost=0.4930, reader_cost=0.00058, ips=2.0285 samples/sec | ETA 08:47:28 2021-04-19 01:34:24 [INFO] [LOSS] loss=0.7658, semantic_loss=0.3783, center_loss=0.1643, offset_loss=0.2232 2021-04-19 01:35:14 [INFO] [TRAIN] epoch=70, iter=25900/90000, loss=0.8006, lr=0.000037, batch_cost=0.4966, reader_cost=0.00054, ips=2.0135 samples/sec | ETA 08:50:35 2021-04-19 01:35:14 [INFO] [LOSS] loss=0.8006, semantic_loss=0.3915, center_loss=0.1686, offset_loss=0.2404 2021-04-19 01:36:04 [INFO] [TRAIN] epoch=70, iter=26000/90000, loss=0.9777, lr=0.000037, batch_cost=0.4958, reader_cost=0.00072, ips=2.0171 samples/sec | ETA 08:48:48 2021-04-19 01:36:04 [INFO] [LOSS] loss=0.9777, semantic_loss=0.3643, center_loss=0.1351, offset_loss=0.4783 2021-04-19 01:36:56 [INFO] [TRAIN] epoch=71, iter=26100/90000, loss=0.9454, lr=0.000037, batch_cost=0.5263, reader_cost=0.03662, ips=1.9002 samples/sec | ETA 09:20:27 2021-04-19 01:36:56 [INFO] [LOSS] loss=0.9454, semantic_loss=0.4184, center_loss=0.1459, offset_loss=0.3812 2021-04-19 01:37:46 [INFO] [TRAIN] epoch=71, iter=26200/90000, loss=1.0650, lr=0.000037, batch_cost=0.4910, reader_cost=0.00126, ips=2.0368 samples/sec | ETA 08:42:02 2021-04-19 01:37:46 [INFO] [LOSS] loss=1.0650, semantic_loss=0.4096, center_loss=0.1679, offset_loss=0.4874 2021-04-19 01:38:36 [INFO] [TRAIN] epoch=71, iter=26300/90000, loss=0.7566, lr=0.000037, batch_cost=0.4981, reader_cost=0.00149, ips=2.0075 samples/sec | ETA 08:48:50 2021-04-19 01:38:36 [INFO] [LOSS] loss=0.7566, semantic_loss=0.3603, center_loss=0.1620, offset_loss=0.2343 2021-04-19 01:39:25 [INFO] [TRAIN] epoch=71, iter=26400/90000, loss=0.8572, lr=0.000037, batch_cost=0.4966, reader_cost=0.00102, ips=2.0137 samples/sec | ETA 08:46:23 2021-04-19 01:39:25 [INFO] [LOSS] loss=0.8572, semantic_loss=0.4461, center_loss=0.1403, offset_loss=0.2709 2021-04-19 01:40:18 [INFO] [TRAIN] epoch=72, iter=26500/90000, loss=0.8043, lr=0.000037, batch_cost=0.5305, reader_cost=0.03318, ips=1.8852 samples/sec | ETA 09:21:23 2021-04-19 01:40:18 [INFO] [LOSS] loss=0.8043, semantic_loss=0.3785, center_loss=0.2259, offset_loss=0.1999 2021-04-19 01:41:08 [INFO] [TRAIN] epoch=72, iter=26600/90000, loss=0.6994, lr=0.000036, batch_cost=0.4912, reader_cost=0.00107, ips=2.0360 samples/sec | ETA 08:38:59 2021-04-19 01:41:08 [INFO] [LOSS] loss=0.6994, semantic_loss=0.3873, center_loss=0.1452, offset_loss=0.1670 2021-04-19 01:41:58 [INFO] [TRAIN] epoch=72, iter=26700/90000, loss=0.9688, lr=0.000036, batch_cost=0.4990, reader_cost=0.00120, ips=2.0040 samples/sec | ETA 08:46:26 2021-04-19 01:41:58 [INFO] [LOSS] loss=0.9688, semantic_loss=0.3750, center_loss=0.1580, offset_loss=0.4358 2021-04-19 01:42:51 [INFO] [TRAIN] epoch=73, iter=26800/90000, loss=0.7544, lr=0.000036, batch_cost=0.5350, reader_cost=0.03494, ips=1.8693 samples/sec | ETA 09:23:30 2021-04-19 01:42:51 [INFO] [LOSS] loss=0.7544, semantic_loss=0.3982, center_loss=0.1433, offset_loss=0.2128 2021-04-19 01:43:40 [INFO] [TRAIN] epoch=73, iter=26900/90000, loss=0.7612, lr=0.000036, batch_cost=0.4881, reader_cost=0.00033, ips=2.0486 samples/sec | ETA 08:33:20 2021-04-19 01:43:40 [INFO] [LOSS] loss=0.7612, semantic_loss=0.3481, center_loss=0.1606, offset_loss=0.2525 2021-04-19 01:44:30 [INFO] [TRAIN] epoch=73, iter=27000/90000, loss=0.7660, lr=0.000036, batch_cost=0.4936, reader_cost=0.00108, ips=2.0258 samples/sec | ETA 08:38:19 2021-04-19 01:44:30 [INFO] [LOSS] loss=0.7660, semantic_loss=0.3846, center_loss=0.1531, offset_loss=0.2284 2021-04-19 01:45:20 [INFO] [TRAIN] epoch=73, iter=27100/90000, loss=0.7679, lr=0.000036, batch_cost=0.4974, reader_cost=0.00109, ips=2.0106 samples/sec | ETA 08:41:23 2021-04-19 01:45:20 [INFO] [LOSS] loss=0.7679, semantic_loss=0.3854, center_loss=0.1486, offset_loss=0.2339 2021-04-19 01:46:13 [INFO] [TRAIN] epoch=74, iter=27200/90000, loss=0.8444, lr=0.000036, batch_cost=0.5280, reader_cost=0.03611, ips=1.8940 samples/sec | ETA 09:12:38 2021-04-19 01:46:13 [INFO] [LOSS] loss=0.8444, semantic_loss=0.3595, center_loss=0.1576, offset_loss=0.3273 2021-04-19 01:47:02 [INFO] [TRAIN] epoch=74, iter=27300/90000, loss=0.8396, lr=0.000036, batch_cost=0.4937, reader_cost=0.00110, ips=2.0256 samples/sec | ETA 08:35:53 2021-04-19 01:47:02 [INFO] [LOSS] loss=0.8396, semantic_loss=0.3788, center_loss=0.1847, offset_loss=0.2761 2021-04-19 01:47:52 [INFO] [TRAIN] epoch=74, iter=27400/90000, loss=0.8315, lr=0.000036, batch_cost=0.4969, reader_cost=0.00093, ips=2.0123 samples/sec | ETA 08:38:28 2021-04-19 01:47:52 [INFO] [LOSS] loss=0.8315, semantic_loss=0.3462, center_loss=0.1506, offset_loss=0.3348 2021-04-19 01:48:42 [INFO] [TRAIN] epoch=74, iter=27500/90000, loss=0.7793, lr=0.000036, batch_cost=0.4982, reader_cost=0.00069, ips=2.0074 samples/sec | ETA 08:38:54 2021-04-19 01:48:42 [INFO] [LOSS] loss=0.7793, semantic_loss=0.3677, center_loss=0.1563, offset_loss=0.2553 2021-04-19 01:49:34 [INFO] [TRAIN] epoch=75, iter=27600/90000, loss=0.7620, lr=0.000036, batch_cost=0.5236, reader_cost=0.03605, ips=1.9099 samples/sec | ETA 09:04:32 2021-04-19 01:49:34 [INFO] [LOSS] loss=0.7620, semantic_loss=0.3643, center_loss=0.1646, offset_loss=0.2332 2021-04-19 01:50:24 [INFO] [TRAIN] epoch=75, iter=27700/90000, loss=0.8377, lr=0.000036, batch_cost=0.4944, reader_cost=0.00053, ips=2.0228 samples/sec | ETA 08:33:19 2021-04-19 01:50:24 [INFO] [LOSS] loss=0.8377, semantic_loss=0.3646, center_loss=0.1639, offset_loss=0.3092 2021-04-19 01:51:14 [INFO] [TRAIN] epoch=75, iter=27800/90000, loss=0.9151, lr=0.000036, batch_cost=0.4964, reader_cost=0.00091, ips=2.0146 samples/sec | ETA 08:34:34 2021-04-19 01:51:14 [INFO] [LOSS] loss=0.9151, semantic_loss=0.3583, center_loss=0.1403, offset_loss=0.4165 2021-04-19 01:52:03 [INFO] [TRAIN] epoch=75, iter=27900/90000, loss=0.8434, lr=0.000036, batch_cost=0.4878, reader_cost=0.00089, ips=2.0500 samples/sec | ETA 08:24:52 2021-04-19 01:52:03 [INFO] [LOSS] loss=0.8434, semantic_loss=0.3973, center_loss=0.1530, offset_loss=0.2930 2021-04-19 01:52:56 [INFO] [TRAIN] epoch=76, iter=28000/90000, loss=0.6982, lr=0.000036, batch_cost=0.5302, reader_cost=0.03329, ips=1.8861 samples/sec | ETA 09:07:52 2021-04-19 01:52:56 [INFO] [LOSS] loss=0.6982, semantic_loss=0.3517, center_loss=0.1428, offset_loss=0.2037 2021-04-19 01:53:45 [INFO] [TRAIN] epoch=76, iter=28100/90000, loss=0.7529, lr=0.000036, batch_cost=0.4923, reader_cost=0.00105, ips=2.0313 samples/sec | ETA 08:27:52 2021-04-19 01:53:45 [INFO] [LOSS] loss=0.7529, semantic_loss=0.3755, center_loss=0.1481, offset_loss=0.2293 2021-04-19 01:54:35 [INFO] [TRAIN] epoch=76, iter=28200/90000, loss=0.8275, lr=0.000036, batch_cost=0.4998, reader_cost=0.00107, ips=2.0008 samples/sec | ETA 08:34:47 2021-04-19 01:54:35 [INFO] [LOSS] loss=0.8275, semantic_loss=0.3639, center_loss=0.1408, offset_loss=0.3228 2021-04-19 01:55:28 [INFO] [TRAIN] epoch=77, iter=28300/90000, loss=0.7447, lr=0.000036, batch_cost=0.5231, reader_cost=0.03616, ips=1.9118 samples/sec | ETA 08:57:52 2021-04-19 01:55:28 [INFO] [LOSS] loss=0.7447, semantic_loss=0.3813, center_loss=0.1505, offset_loss=0.2129 2021-04-19 01:56:17 [INFO] [TRAIN] epoch=77, iter=28400/90000, loss=0.7769, lr=0.000036, batch_cost=0.4931, reader_cost=0.00077, ips=2.0280 samples/sec | ETA 08:26:14 2021-04-19 01:56:17 [INFO] [LOSS] loss=0.7769, semantic_loss=0.3773, center_loss=0.1680, offset_loss=0.2316 2021-04-19 01:57:06 [INFO] [TRAIN] epoch=77, iter=28500/90000, loss=0.6910, lr=0.000035, batch_cost=0.4906, reader_cost=0.00121, ips=2.0382 samples/sec | ETA 08:22:53 2021-04-19 01:57:06 [INFO] [LOSS] loss=0.6910, semantic_loss=0.3113, center_loss=0.1671, offset_loss=0.2126 2021-04-19 01:57:56 [INFO] [TRAIN] epoch=77, iter=28600/90000, loss=1.3694, lr=0.000035, batch_cost=0.4967, reader_cost=0.00056, ips=2.0131 samples/sec | ETA 08:28:20 2021-04-19 01:57:56 [INFO] [LOSS] loss=1.3694, semantic_loss=0.4046, center_loss=0.1391, offset_loss=0.8257 2021-04-19 01:58:49 [INFO] [TRAIN] epoch=78, iter=28700/90000, loss=0.7755, lr=0.000035, batch_cost=0.5252, reader_cost=0.03499, ips=1.9040 samples/sec | ETA 08:56:34 2021-04-19 01:58:49 [INFO] [LOSS] loss=0.7755, semantic_loss=0.3939, center_loss=0.1452, offset_loss=0.2364 2021-04-19 01:59:38 [INFO] [TRAIN] epoch=78, iter=28800/90000, loss=0.7465, lr=0.000035, batch_cost=0.4943, reader_cost=0.00097, ips=2.0230 samples/sec | ETA 08:24:12 2021-04-19 01:59:38 [INFO] [LOSS] loss=0.7465, semantic_loss=0.3461, center_loss=0.1485, offset_loss=0.2518 2021-04-19 02:00:28 [INFO] [TRAIN] epoch=78, iter=28900/90000, loss=0.7653, lr=0.000035, batch_cost=0.4967, reader_cost=0.00106, ips=2.0134 samples/sec | ETA 08:25:46 2021-04-19 02:00:28 [INFO] [LOSS] loss=0.7653, semantic_loss=0.3514, center_loss=0.1870, offset_loss=0.2269 2021-04-19 02:01:18 [INFO] [TRAIN] epoch=78, iter=29000/90000, loss=0.7080, lr=0.000035, batch_cost=0.4966, reader_cost=0.00132, ips=2.0139 samples/sec | ETA 08:24:49 2021-04-19 02:01:18 [INFO] [LOSS] loss=0.7080, semantic_loss=0.3806, center_loss=0.1353, offset_loss=0.1921 2021-04-19 02:02:11 [INFO] [TRAIN] epoch=79, iter=29100/90000, loss=1.1884, lr=0.000035, batch_cost=0.5260, reader_cost=0.03510, ips=1.9011 samples/sec | ETA 08:53:54 2021-04-19 02:02:11 [INFO] [LOSS] loss=1.1884, semantic_loss=0.3605, center_loss=0.1564, offset_loss=0.6715 2021-04-19 02:03:00 [INFO] [TRAIN] epoch=79, iter=29200/90000, loss=1.1225, lr=0.000035, batch_cost=0.4914, reader_cost=0.00031, ips=2.0350 samples/sec | ETA 08:17:57 2021-04-19 02:03:00 [INFO] [LOSS] loss=1.1225, semantic_loss=0.3664, center_loss=0.1557, offset_loss=0.6004 2021-04-19 02:03:50 [INFO] [TRAIN] epoch=79, iter=29300/90000, loss=0.8596, lr=0.000035, batch_cost=0.4955, reader_cost=0.00100, ips=2.0181 samples/sec | ETA 08:21:17 2021-04-19 02:03:50 [INFO] [LOSS] loss=0.8596, semantic_loss=0.3717, center_loss=0.1601, offset_loss=0.3277 2021-04-19 02:04:42 [INFO] [TRAIN] epoch=80, iter=29400/90000, loss=0.8114, lr=0.000035, batch_cost=0.5246, reader_cost=0.03520, ips=1.9063 samples/sec | ETA 08:49:49 2021-04-19 02:04:42 [INFO] [LOSS] loss=0.8114, semantic_loss=0.4311, center_loss=0.1309, offset_loss=0.2493 2021-04-19 02:05:31 [INFO] [TRAIN] epoch=80, iter=29500/90000, loss=0.7097, lr=0.000035, batch_cost=0.4914, reader_cost=0.00077, ips=2.0351 samples/sec | ETA 08:15:28 2021-04-19 02:05:31 [INFO] [LOSS] loss=0.7097, semantic_loss=0.3692, center_loss=0.1507, offset_loss=0.1898 2021-04-19 02:06:21 [INFO] [TRAIN] epoch=80, iter=29600/90000, loss=0.8658, lr=0.000035, batch_cost=0.4935, reader_cost=0.00086, ips=2.0263 samples/sec | ETA 08:16:47 2021-04-19 02:06:21 [INFO] [LOSS] loss=0.8658, semantic_loss=0.3959, center_loss=0.1591, offset_loss=0.3108 2021-04-19 02:07:11 [INFO] [TRAIN] epoch=80, iter=29700/90000, loss=0.8501, lr=0.000035, batch_cost=0.5000, reader_cost=0.00105, ips=2.0001 samples/sec | ETA 08:22:28 2021-04-19 02:07:11 [INFO] [LOSS] loss=0.8501, semantic_loss=0.3793, center_loss=0.1692, offset_loss=0.3016 2021-04-19 02:08:04 [INFO] [TRAIN] epoch=81, iter=29800/90000, loss=0.9776, lr=0.000035, batch_cost=0.5307, reader_cost=0.04014, ips=1.8842 samples/sec | ETA 08:52:30 2021-04-19 02:08:04 [INFO] [LOSS] loss=0.9776, semantic_loss=0.4007, center_loss=0.1322, offset_loss=0.4447 2021-04-19 02:08:54 [INFO] [TRAIN] epoch=81, iter=29900/90000, loss=0.7052, lr=0.000035, batch_cost=0.4916, reader_cost=0.00087, ips=2.0342 samples/sec | ETA 08:12:25 2021-04-19 02:08:54 [INFO] [LOSS] loss=0.7052, semantic_loss=0.3454, center_loss=0.1554, offset_loss=0.2044 2021-04-19 02:09:43 [INFO] [TRAIN] epoch=81, iter=30000/90000, loss=0.9855, lr=0.000035, batch_cost=0.4938, reader_cost=0.00100, ips=2.0252 samples/sec | ETA 08:13:46 2021-04-19 02:09:43 [INFO] [LOSS] loss=0.9855, semantic_loss=0.3755, center_loss=0.2306, offset_loss=0.3794 2021-04-19 02:10:40 [INFO] [TRAIN] epoch=81, iter=30100/90000, loss=0.7553, lr=0.000035, batch_cost=0.4957, reader_cost=0.00044, ips=2.0174 samples/sec | ETA 08:14:51 2021-04-19 02:10:40 [INFO] [LOSS] loss=0.7553, semantic_loss=0.3715, center_loss=0.1269, offset_loss=0.2569 2021-04-19 02:11:33 [INFO] [TRAIN] epoch=82, iter=30200/90000, loss=0.8063, lr=0.000035, batch_cost=0.5245, reader_cost=0.03954, ips=1.9065 samples/sec | ETA 08:42:45 2021-04-19 02:11:33 [INFO] [LOSS] loss=0.8063, semantic_loss=0.3846, center_loss=0.1752, offset_loss=0.2465 2021-04-19 02:12:22 [INFO] [TRAIN] epoch=82, iter=30300/90000, loss=0.8578, lr=0.000035, batch_cost=0.4932, reader_cost=0.00127, ips=2.0276 samples/sec | ETA 08:10:44 2021-04-19 02:12:22 [INFO] [LOSS] loss=0.8578, semantic_loss=0.3707, center_loss=0.1517, offset_loss=0.3355 2021-04-19 02:13:12 [INFO] [TRAIN] epoch=82, iter=30400/90000, loss=0.7844, lr=0.000035, batch_cost=0.4964, reader_cost=0.00095, ips=2.0145 samples/sec | ETA 08:13:05 2021-04-19 02:13:12 [INFO] [LOSS] loss=0.7844, semantic_loss=0.3668, center_loss=0.1716, offset_loss=0.2460 2021-04-19 02:14:01 [INFO] [TRAIN] epoch=82, iter=30500/90000, loss=0.9124, lr=0.000034, batch_cost=0.4935, reader_cost=0.00104, ips=2.0263 samples/sec | ETA 08:09:23 2021-04-19 02:14:01 [INFO] [LOSS] loss=0.9124, semantic_loss=0.3964, center_loss=0.1539, offset_loss=0.3621 2021-04-19 02:14:54 [INFO] [TRAIN] epoch=83, iter=30600/90000, loss=0.8106, lr=0.000034, batch_cost=0.5280, reader_cost=0.03351, ips=1.8941 samples/sec | ETA 08:42:40 2021-04-19 02:14:54 [INFO] [LOSS] loss=0.8106, semantic_loss=0.3533, center_loss=0.1694, offset_loss=0.2879 2021-04-19 02:15:44 [INFO] [TRAIN] epoch=83, iter=30700/90000, loss=0.7231, lr=0.000034, batch_cost=0.4987, reader_cost=0.00080, ips=2.0052 samples/sec | ETA 08:12:52 2021-04-19 02:15:44 [INFO] [LOSS] loss=0.7231, semantic_loss=0.3736, center_loss=0.1577, offset_loss=0.1917 2021-04-19 02:16:34 [INFO] [TRAIN] epoch=83, iter=30800/90000, loss=0.7960, lr=0.000034, batch_cost=0.4951, reader_cost=0.00106, ips=2.0196 samples/sec | ETA 08:08:32 2021-04-19 02:16:34 [INFO] [LOSS] loss=0.7960, semantic_loss=0.3745, center_loss=0.1672, offset_loss=0.2544 2021-04-19 02:17:27 [INFO] [TRAIN] epoch=84, iter=30900/90000, loss=0.7997, lr=0.000034, batch_cost=0.5267, reader_cost=0.03353, ips=1.8988 samples/sec | ETA 08:38:45 2021-04-19 02:17:27 [INFO] [LOSS] loss=0.7997, semantic_loss=0.3420, center_loss=0.1493, offset_loss=0.3085 2021-04-19 02:18:16 [INFO] [TRAIN] epoch=84, iter=31000/90000, loss=0.7894, lr=0.000034, batch_cost=0.4934, reader_cost=0.00103, ips=2.0267 samples/sec | ETA 08:05:11 2021-04-19 02:18:16 [INFO] [LOSS] loss=0.7894, semantic_loss=0.3734, center_loss=0.1811, offset_loss=0.2350 2021-04-19 02:19:06 [INFO] [TRAIN] epoch=84, iter=31100/90000, loss=0.7549, lr=0.000034, batch_cost=0.4932, reader_cost=0.00067, ips=2.0275 samples/sec | ETA 08:04:10 2021-04-19 02:19:06 [INFO] [LOSS] loss=0.7549, semantic_loss=0.3361, center_loss=0.1576, offset_loss=0.2612 2021-04-19 02:19:55 [INFO] [TRAIN] epoch=84, iter=31200/90000, loss=0.8581, lr=0.000034, batch_cost=0.4974, reader_cost=0.00096, ips=2.0106 samples/sec | ETA 08:07:24 2021-04-19 02:19:55 [INFO] [LOSS] loss=0.8581, semantic_loss=0.3847, center_loss=0.1563, offset_loss=0.3171 2021-04-19 02:20:49 [INFO] [TRAIN] epoch=85, iter=31300/90000, loss=1.1522, lr=0.000034, batch_cost=0.5376, reader_cost=0.05076, ips=1.8602 samples/sec | ETA 08:45:56 2021-04-19 02:20:49 [INFO] [LOSS] loss=1.1522, semantic_loss=0.4600, center_loss=0.1606, offset_loss=0.5316 2021-04-19 02:21:39 [INFO] [TRAIN] epoch=85, iter=31400/90000, loss=0.7536, lr=0.000034, batch_cost=0.4932, reader_cost=0.00072, ips=2.0275 samples/sec | ETA 08:01:42 2021-04-19 02:21:39 [INFO] [LOSS] loss=0.7536, semantic_loss=0.3608, center_loss=0.1653, offset_loss=0.2275 2021-04-19 02:22:28 [INFO] [TRAIN] epoch=85, iter=31500/90000, loss=0.8255, lr=0.000034, batch_cost=0.4940, reader_cost=0.00077, ips=2.0242 samples/sec | ETA 08:01:39 2021-04-19 02:22:28 [INFO] [LOSS] loss=0.8255, semantic_loss=0.3386, center_loss=0.1758, offset_loss=0.3111 2021-04-19 02:23:18 [INFO] [TRAIN] epoch=85, iter=31600/90000, loss=0.8264, lr=0.000034, batch_cost=0.4965, reader_cost=0.00090, ips=2.0142 samples/sec | ETA 08:03:14 2021-04-19 02:23:18 [INFO] [LOSS] loss=0.8264, semantic_loss=0.4174, center_loss=0.1429, offset_loss=0.2661 2021-04-19 02:24:10 [INFO] [TRAIN] epoch=86, iter=31700/90000, loss=0.7905, lr=0.000034, batch_cost=0.5207, reader_cost=0.03502, ips=1.9206 samples/sec | ETA 08:25:54 2021-04-19 02:24:10 [INFO] [LOSS] loss=0.7905, semantic_loss=0.3525, center_loss=0.1518, offset_loss=0.2863 2021-04-19 02:25:00 [INFO] [TRAIN] epoch=86, iter=31800/90000, loss=0.8551, lr=0.000034, batch_cost=0.4941, reader_cost=0.00088, ips=2.0239 samples/sec | ETA 07:59:16 2021-04-19 02:25:00 [INFO] [LOSS] loss=0.8551, semantic_loss=0.3759, center_loss=0.1446, offset_loss=0.3346 2021-04-19 02:25:49 [INFO] [TRAIN] epoch=86, iter=31900/90000, loss=0.7770, lr=0.000034, batch_cost=0.4951, reader_cost=0.00079, ips=2.0199 samples/sec | ETA 07:59:23 2021-04-19 02:25:49 [INFO] [LOSS] loss=0.7770, semantic_loss=0.3602, center_loss=0.1544, offset_loss=0.2625 2021-04-19 02:26:42 [INFO] [TRAIN] epoch=87, iter=32000/90000, loss=0.8227, lr=0.000034, batch_cost=0.5285, reader_cost=0.04075, ips=1.8921 samples/sec | ETA 08:30:54 2021-04-19 02:26:42 [INFO] [LOSS] loss=0.8227, semantic_loss=0.3925, center_loss=0.1401, offset_loss=0.2900 2021-04-19 02:27:32 [INFO] [TRAIN] epoch=87, iter=32100/90000, loss=0.6603, lr=0.000034, batch_cost=0.4915, reader_cost=0.00110, ips=2.0344 samples/sec | ETA 07:54:20 2021-04-19 02:27:32 [INFO] [LOSS] loss=0.6603, semantic_loss=0.3366, center_loss=0.1455, offset_loss=0.1782 2021-04-19 02:28:21 [INFO] [TRAIN] epoch=87, iter=32200/90000, loss=0.6815, lr=0.000034, batch_cost=0.4958, reader_cost=0.00066, ips=2.0168 samples/sec | ETA 07:57:38 2021-04-19 02:28:21 [INFO] [LOSS] loss=0.6815, semantic_loss=0.3583, center_loss=0.1457, offset_loss=0.1775 2021-04-19 02:29:11 [INFO] [TRAIN] epoch=87, iter=32300/90000, loss=0.9055, lr=0.000034, batch_cost=0.4956, reader_cost=0.00043, ips=2.0178 samples/sec | ETA 07:56:34 2021-04-19 02:29:11 [INFO] [LOSS] loss=0.9055, semantic_loss=0.3508, center_loss=0.1474, offset_loss=0.4073 2021-04-19 02:30:04 [INFO] [TRAIN] epoch=88, iter=32400/90000, loss=0.7130, lr=0.000033, batch_cost=0.5252, reader_cost=0.03428, ips=1.9042 samples/sec | ETA 08:24:09 2021-04-19 02:30:04 [INFO] [LOSS] loss=0.7130, semantic_loss=0.3857, center_loss=0.1403, offset_loss=0.1870 2021-04-19 02:30:53 [INFO] [TRAIN] epoch=88, iter=32500/90000, loss=0.7265, lr=0.000033, batch_cost=0.4915, reader_cost=0.00053, ips=2.0344 samples/sec | ETA 07:51:03 2021-04-19 02:30:53 [INFO] [LOSS] loss=0.7265, semantic_loss=0.3558, center_loss=0.1580, offset_loss=0.2127 2021-04-19 02:31:42 [INFO] [TRAIN] epoch=88, iter=32600/90000, loss=0.6607, lr=0.000033, batch_cost=0.4916, reader_cost=0.00046, ips=2.0343 samples/sec | ETA 07:50:16 2021-04-19 02:31:42 [INFO] [LOSS] loss=0.6607, semantic_loss=0.3437, center_loss=0.1474, offset_loss=0.1696 2021-04-19 02:32:32 [INFO] [TRAIN] epoch=88, iter=32700/90000, loss=0.7608, lr=0.000033, batch_cost=0.4970, reader_cost=0.00058, ips=2.0120 samples/sec | ETA 07:54:38 2021-04-19 02:32:32 [INFO] [LOSS] loss=0.7608, semantic_loss=0.3709, center_loss=0.1614, offset_loss=0.2285 2021-04-19 02:33:25 [INFO] [TRAIN] epoch=89, iter=32800/90000, loss=0.7091, lr=0.000033, batch_cost=0.5249, reader_cost=0.03503, ips=1.9050 samples/sec | ETA 08:20:25 2021-04-19 02:33:25 [INFO] [LOSS] loss=0.7091, semantic_loss=0.3951, center_loss=0.1396, offset_loss=0.1744 2021-04-19 02:34:14 [INFO] [TRAIN] epoch=89, iter=32900/90000, loss=0.7208, lr=0.000033, batch_cost=0.4933, reader_cost=0.00114, ips=2.0272 samples/sec | ETA 07:49:26 2021-04-19 02:34:14 [INFO] [LOSS] loss=0.7208, semantic_loss=0.3654, center_loss=0.1613, offset_loss=0.1941 2021-04-19 02:35:04 [INFO] [TRAIN] epoch=89, iter=33000/90000, loss=0.7064, lr=0.000033, batch_cost=0.4934, reader_cost=0.00088, ips=2.0267 samples/sec | ETA 07:48:44 2021-04-19 02:35:04 [INFO] [LOSS] loss=0.7064, semantic_loss=0.3446, center_loss=0.1635, offset_loss=0.1984 2021-04-19 02:35:53 [INFO] [TRAIN] epoch=89, iter=33100/90000, loss=0.7205, lr=0.000033, batch_cost=0.4963, reader_cost=0.00063, ips=2.0149 samples/sec | ETA 07:50:38 2021-04-19 02:35:53 [INFO] [LOSS] loss=0.7205, semantic_loss=0.3579, center_loss=0.1182, offset_loss=0.2444 2021-04-19 02:36:46 [INFO] [TRAIN] epoch=90, iter=33200/90000, loss=0.7251, lr=0.000033, batch_cost=0.5254, reader_cost=0.03744, ips=1.9035 samples/sec | ETA 08:17:20 2021-04-19 02:36:46 [INFO] [LOSS] loss=0.7251, semantic_loss=0.3535, center_loss=0.1626, offset_loss=0.2090 2021-04-19 02:37:36 [INFO] [TRAIN] epoch=90, iter=33300/90000, loss=0.7014, lr=0.000033, batch_cost=0.4954, reader_cost=0.00085, ips=2.0188 samples/sec | ETA 07:48:06 2021-04-19 02:37:36 [INFO] [LOSS] loss=0.7014, semantic_loss=0.3688, center_loss=0.1449, offset_loss=0.1876 2021-04-19 02:38:25 [INFO] [TRAIN] epoch=90, iter=33400/90000, loss=0.8566, lr=0.000033, batch_cost=0.4952, reader_cost=0.00110, ips=2.0194 samples/sec | ETA 07:47:07 2021-04-19 02:38:25 [INFO] [LOSS] loss=0.8566, semantic_loss=0.3739, center_loss=0.1373, offset_loss=0.3455 2021-04-19 02:39:19 [INFO] [TRAIN] epoch=91, iter=33500/90000, loss=1.5480, lr=0.000033, batch_cost=0.5291, reader_cost=0.03608, ips=1.8900 samples/sec | ETA 08:18:13 2021-04-19 02:39:19 [INFO] [LOSS] loss=1.5480, semantic_loss=0.3665, center_loss=0.1671, offset_loss=1.0143 2021-04-19 02:40:08 [INFO] [TRAIN] epoch=91, iter=33600/90000, loss=0.6333, lr=0.000033, batch_cost=0.4953, reader_cost=0.00089, ips=2.0191 samples/sec | ETA 07:45:32 2021-04-19 02:40:08 [INFO] [LOSS] loss=0.6333, semantic_loss=0.3312, center_loss=0.1446, offset_loss=0.1576 2021-04-19 02:40:58 [INFO] [TRAIN] epoch=91, iter=33700/90000, loss=0.6512, lr=0.000033, batch_cost=0.4919, reader_cost=0.00055, ips=2.0328 samples/sec | ETA 07:41:36 2021-04-19 02:40:58 [INFO] [LOSS] loss=0.6512, semantic_loss=0.3438, center_loss=0.1445, offset_loss=0.1629 2021-04-19 02:41:48 [INFO] [TRAIN] epoch=91, iter=33800/90000, loss=0.9935, lr=0.000033, batch_cost=0.4994, reader_cost=0.00120, ips=2.0025 samples/sec | ETA 07:47:45 2021-04-19 02:41:48 [INFO] [LOSS] loss=0.9935, semantic_loss=0.3728, center_loss=0.1376, offset_loss=0.4831 2021-04-19 02:42:40 [INFO] [TRAIN] epoch=92, iter=33900/90000, loss=0.7104, lr=0.000033, batch_cost=0.5275, reader_cost=0.03920, ips=1.8956 samples/sec | ETA 08:13:15 2021-04-19 02:42:40 [INFO] [LOSS] loss=0.7104, semantic_loss=0.3727, center_loss=0.1444, offset_loss=0.1933 2021-04-19 02:43:30 [INFO] [TRAIN] epoch=92, iter=34000/90000, loss=0.7849, lr=0.000033, batch_cost=0.4926, reader_cost=0.00116, ips=2.0300 samples/sec | ETA 07:39:46 2021-04-19 02:43:30 [INFO] [LOSS] loss=0.7849, semantic_loss=0.3282, center_loss=0.1558, offset_loss=0.3009 2021-04-19 02:44:19 [INFO] [TRAIN] epoch=92, iter=34100/90000, loss=0.8211, lr=0.000033, batch_cost=0.4918, reader_cost=0.00080, ips=2.0334 samples/sec | ETA 07:38:10 2021-04-19 02:44:19 [INFO] [LOSS] loss=0.8211, semantic_loss=0.3110, center_loss=0.1502, offset_loss=0.3598 2021-04-19 02:45:09 [INFO] [TRAIN] epoch=92, iter=34200/90000, loss=0.7485, lr=0.000033, batch_cost=0.4994, reader_cost=0.00086, ips=2.0026 samples/sec | ETA 07:44:24 2021-04-19 02:45:09 [INFO] [LOSS] loss=0.7485, semantic_loss=0.3903, center_loss=0.1512, offset_loss=0.2070 2021-04-19 02:46:02 [INFO] [TRAIN] epoch=93, iter=34300/90000, loss=0.6556, lr=0.000032, batch_cost=0.5235, reader_cost=0.03428, ips=1.9102 samples/sec | ETA 08:05:58 2021-04-19 02:46:02 [INFO] [LOSS] loss=0.6556, semantic_loss=0.3409, center_loss=0.1258, offset_loss=0.1889 2021-04-19 02:46:51 [INFO] [TRAIN] epoch=93, iter=34400/90000, loss=0.7156, lr=0.000032, batch_cost=0.4949, reader_cost=0.00120, ips=2.0205 samples/sec | ETA 07:38:38 2021-04-19 02:46:51 [INFO] [LOSS] loss=0.7156, semantic_loss=0.3479, center_loss=0.1575, offset_loss=0.2102 2021-04-19 02:47:41 [INFO] [TRAIN] epoch=93, iter=34500/90000, loss=0.6448, lr=0.000032, batch_cost=0.4927, reader_cost=0.00056, ips=2.0297 samples/sec | ETA 07:35:44 2021-04-19 02:47:41 [INFO] [LOSS] loss=0.6448, semantic_loss=0.3400, center_loss=0.1322, offset_loss=0.1726 2021-04-19 02:48:33 [INFO] [TRAIN] epoch=94, iter=34600/90000, loss=0.7847, lr=0.000032, batch_cost=0.5227, reader_cost=0.03334, ips=1.9133 samples/sec | ETA 08:02:35 2021-04-19 02:48:33 [INFO] [LOSS] loss=0.7847, semantic_loss=0.4099, center_loss=0.1501, offset_loss=0.2248 2021-04-19 02:49:23 [INFO] [TRAIN] epoch=94, iter=34700/90000, loss=0.7069, lr=0.000032, batch_cost=0.4920, reader_cost=0.00081, ips=2.0324 samples/sec | ETA 07:33:29 2021-04-19 02:49:23 [INFO] [LOSS] loss=0.7069, semantic_loss=0.3420, center_loss=0.1614, offset_loss=0.2035 2021-04-19 02:50:12 [INFO] [TRAIN] epoch=94, iter=34800/90000, loss=0.7177, lr=0.000032, batch_cost=0.4964, reader_cost=0.00100, ips=2.0146 samples/sec | ETA 07:36:39 2021-04-19 02:50:12 [INFO] [LOSS] loss=0.7177, semantic_loss=0.3712, center_loss=0.1459, offset_loss=0.2006 2021-04-19 02:51:02 [INFO] [TRAIN] epoch=94, iter=34900/90000, loss=0.7174, lr=0.000032, batch_cost=0.4946, reader_cost=0.00056, ips=2.0217 samples/sec | ETA 07:34:13 2021-04-19 02:51:02 [INFO] [LOSS] loss=0.7174, semantic_loss=0.3462, center_loss=0.1551, offset_loss=0.2161 2021-04-19 02:51:55 [INFO] [TRAIN] epoch=95, iter=35000/90000, loss=1.2056, lr=0.000032, batch_cost=0.5288, reader_cost=0.03460, ips=1.8909 samples/sec | ETA 08:04:46 2021-04-19 02:51:55 [INFO] [LOSS] loss=1.2056, semantic_loss=0.3622, center_loss=0.1373, offset_loss=0.7061 2021-04-19 02:52:52 [INFO] [TRAIN] epoch=95, iter=35100/90000, loss=0.6975, lr=0.000032, batch_cost=0.4929, reader_cost=0.00056, ips=2.0288 samples/sec | ETA 07:31:00 2021-04-19 02:52:52 [INFO] [LOSS] loss=0.6975, semantic_loss=0.3736, center_loss=0.1533, offset_loss=0.1706 2021-04-19 02:53:41 [INFO] [TRAIN] epoch=95, iter=35200/90000, loss=0.5806, lr=0.000032, batch_cost=0.4914, reader_cost=0.00057, ips=2.0352 samples/sec | ETA 07:28:46 2021-04-19 02:53:41 [INFO] [LOSS] loss=0.5806, semantic_loss=0.3090, center_loss=0.1474, offset_loss=0.1242 2021-04-19 02:54:31 [INFO] [TRAIN] epoch=95, iter=35300/90000, loss=0.7135, lr=0.000032, batch_cost=0.4972, reader_cost=0.00099, ips=2.0114 samples/sec | ETA 07:33:14 2021-04-19 02:54:31 [INFO] [LOSS] loss=0.7135, semantic_loss=0.3722, center_loss=0.1429, offset_loss=0.1983 2021-04-19 02:55:23 [INFO] [TRAIN] epoch=96, iter=35400/90000, loss=0.9768, lr=0.000032, batch_cost=0.5266, reader_cost=0.03562, ips=1.8989 samples/sec | ETA 07:59:13 2021-04-19 02:55:23 [INFO] [LOSS] loss=0.9768, semantic_loss=0.3857, center_loss=0.1616, offset_loss=0.4295 2021-04-19 02:56:13 [INFO] [TRAIN] epoch=96, iter=35500/90000, loss=0.7356, lr=0.000032, batch_cost=0.4942, reader_cost=0.00063, ips=2.0235 samples/sec | ETA 07:28:53 2021-04-19 02:56:13 [INFO] [LOSS] loss=0.7356, semantic_loss=0.3742, center_loss=0.1794, offset_loss=0.1819 2021-04-19 02:57:03 [INFO] [TRAIN] epoch=96, iter=35600/90000, loss=0.7378, lr=0.000032, batch_cost=0.4967, reader_cost=0.00067, ips=2.0131 samples/sec | ETA 07:30:22 2021-04-19 02:57:03 [INFO] [LOSS] loss=0.7378, semantic_loss=0.3519, center_loss=0.1445, offset_loss=0.2414 2021-04-19 02:57:52 [INFO] [TRAIN] epoch=96, iter=35700/90000, loss=0.7663, lr=0.000032, batch_cost=0.4910, reader_cost=0.00106, ips=2.0369 samples/sec | ETA 07:24:18 2021-04-19 02:57:52 [INFO] [LOSS] loss=0.7663, semantic_loss=0.3808, center_loss=0.1292, offset_loss=0.2563 2021-04-19 02:58:44 [INFO] [TRAIN] epoch=97, iter=35800/90000, loss=0.7063, lr=0.000032, batch_cost=0.5234, reader_cost=0.03502, ips=1.9107 samples/sec | ETA 07:52:46 2021-04-19 02:58:44 [INFO] [LOSS] loss=0.7063, semantic_loss=0.3489, center_loss=0.1458, offset_loss=0.2117 2021-04-19 02:59:34 [INFO] [TRAIN] epoch=97, iter=35900/90000, loss=0.6608, lr=0.000032, batch_cost=0.4969, reader_cost=0.00115, ips=2.0124 samples/sec | ETA 07:28:02 2021-04-19 02:59:34 [INFO] [LOSS] loss=0.6608, semantic_loss=0.3155, center_loss=0.1435, offset_loss=0.2019 2021-04-19 03:00:24 [INFO] [TRAIN] epoch=97, iter=36000/90000, loss=0.6537, lr=0.000032, batch_cost=0.4959, reader_cost=0.00057, ips=2.0164 samples/sec | ETA 07:26:20 2021-04-19 03:00:24 [INFO] [LOSS] loss=0.6537, semantic_loss=0.3381, center_loss=0.1264, offset_loss=0.1892 2021-04-19 03:01:17 [INFO] [TRAIN] epoch=98, iter=36100/90000, loss=0.6099, lr=0.000032, batch_cost=0.5280, reader_cost=0.03950, ips=1.8940 samples/sec | ETA 07:54:18 2021-04-19 03:01:17 [INFO] [LOSS] loss=0.6099, semantic_loss=0.3431, center_loss=0.1199, offset_loss=0.1468 2021-04-19 03:02:06 [INFO] [TRAIN] epoch=98, iter=36200/90000, loss=0.6957, lr=0.000031, batch_cost=0.4937, reader_cost=0.00066, ips=2.0254 samples/sec | ETA 07:22:42 2021-04-19 03:02:06 [INFO] [LOSS] loss=0.6957, semantic_loss=0.3428, center_loss=0.1484, offset_loss=0.2044 2021-04-19 03:02:56 [INFO] [TRAIN] epoch=98, iter=36300/90000, loss=0.7125, lr=0.000031, batch_cost=0.4924, reader_cost=0.00062, ips=2.0307 samples/sec | ETA 07:20:43 2021-04-19 03:02:56 [INFO] [LOSS] loss=0.7125, semantic_loss=0.3298, center_loss=0.1593, offset_loss=0.2234 2021-04-19 03:03:46 [INFO] [TRAIN] epoch=98, iter=36400/90000, loss=0.8642, lr=0.000031, batch_cost=0.4987, reader_cost=0.00077, ips=2.0053 samples/sec | ETA 07:25:28 2021-04-19 03:03:46 [INFO] [LOSS] loss=0.8642, semantic_loss=0.3719, center_loss=0.1450, offset_loss=0.3473 2021-04-19 03:04:38 [INFO] [TRAIN] epoch=99, iter=36500/90000, loss=0.7179, lr=0.000031, batch_cost=0.5213, reader_cost=0.03262, ips=1.9182 samples/sec | ETA 07:44:50 2021-04-19 03:04:38 [INFO] [LOSS] loss=0.7179, semantic_loss=0.3683, center_loss=0.1271, offset_loss=0.2225 2021-04-19 03:05:27 [INFO] [TRAIN] epoch=99, iter=36600/90000, loss=0.6692, lr=0.000031, batch_cost=0.4917, reader_cost=0.00067, ips=2.0337 samples/sec | ETA 07:17:37 2021-04-19 03:05:27 [INFO] [LOSS] loss=0.6692, semantic_loss=0.3514, center_loss=0.1537, offset_loss=0.1641 2021-04-19 03:06:17 [INFO] [TRAIN] epoch=99, iter=36700/90000, loss=0.6350, lr=0.000031, batch_cost=0.4943, reader_cost=0.00138, ips=2.0230 samples/sec | ETA 07:19:06 2021-04-19 03:06:17 [INFO] [LOSS] loss=0.6350, semantic_loss=0.3192, center_loss=0.1118, offset_loss=0.2040 2021-04-19 03:07:07 [INFO] [TRAIN] epoch=99, iter=36800/90000, loss=0.6331, lr=0.000031, batch_cost=0.4965, reader_cost=0.00058, ips=2.0141 samples/sec | ETA 07:20:13 2021-04-19 03:07:07 [INFO] [LOSS] loss=0.6331, semantic_loss=0.3327, center_loss=0.1403, offset_loss=0.1601 2021-04-19 03:07:59 [INFO] [TRAIN] epoch=100, iter=36900/90000, loss=0.7316, lr=0.000031, batch_cost=0.5216, reader_cost=0.03632, ips=1.9173 samples/sec | ETA 07:41:34 2021-04-19 03:07:59 [INFO] [LOSS] loss=0.7316, semantic_loss=0.3667, center_loss=0.1315, offset_loss=0.2334 2021-04-19 03:08:48 [INFO] [TRAIN] epoch=100, iter=37000/90000, loss=0.7350, lr=0.000031, batch_cost=0.4921, reader_cost=0.00060, ips=2.0321 samples/sec | ETA 07:14:42 2021-04-19 03:08:48 [INFO] [LOSS] loss=0.7350, semantic_loss=0.3664, center_loss=0.1502, offset_loss=0.2185 2021-04-19 03:09:38 [INFO] [TRAIN] epoch=100, iter=37100/90000, loss=0.8619, lr=0.000031, batch_cost=0.4948, reader_cost=0.00102, ips=2.0210 samples/sec | ETA 07:16:15 2021-04-19 03:09:38 [INFO] [LOSS] loss=0.8619, semantic_loss=0.3290, center_loss=0.1625, offset_loss=0.3704 2021-04-19 03:10:27 [INFO] [TRAIN] epoch=100, iter=37200/90000, loss=0.6544, lr=0.000031, batch_cost=0.4890, reader_cost=0.00114, ips=2.0451 samples/sec | ETA 07:10:18 2021-04-19 03:10:27 [INFO] [LOSS] loss=0.6544, semantic_loss=0.3332, center_loss=0.1530, offset_loss=0.1682 2021-04-19 03:11:20 [INFO] [TRAIN] epoch=101, iter=37300/90000, loss=0.7326, lr=0.000031, batch_cost=0.5276, reader_cost=0.03277, ips=1.8953 samples/sec | ETA 07:43:26 2021-04-19 03:11:20 [INFO] [LOSS] loss=0.7326, semantic_loss=0.3562, center_loss=0.1307, offset_loss=0.2457 2021-04-19 03:12:10 [INFO] [TRAIN] epoch=101, iter=37400/90000, loss=0.6595, lr=0.000031, batch_cost=0.4948, reader_cost=0.00057, ips=2.0209 samples/sec | ETA 07:13:47 2021-04-19 03:12:10 [INFO] [LOSS] loss=0.6595, semantic_loss=0.3318, center_loss=0.1513, offset_loss=0.1764 2021-04-19 03:12:59 [INFO] [TRAIN] epoch=101, iter=37500/90000, loss=0.7080, lr=0.000031, batch_cost=0.4935, reader_cost=0.00063, ips=2.0262 samples/sec | ETA 07:11:50 2021-04-19 03:12:59 [INFO] [LOSS] loss=0.7080, semantic_loss=0.3522, center_loss=0.1349, offset_loss=0.2209 2021-04-19 03:13:52 [INFO] [TRAIN] epoch=102, iter=37600/90000, loss=0.6897, lr=0.000031, batch_cost=0.5272, reader_cost=0.03382, ips=1.8970 samples/sec | ETA 07:40:22 2021-04-19 03:13:52 [INFO] [LOSS] loss=0.6897, semantic_loss=0.3683, center_loss=0.1381, offset_loss=0.1834 2021-04-19 03:14:41 [INFO] [TRAIN] epoch=102, iter=37700/90000, loss=0.6835, lr=0.000031, batch_cost=0.4933, reader_cost=0.00098, ips=2.0273 samples/sec | ETA 07:09:58 2021-04-19 03:14:41 [INFO] [LOSS] loss=0.6835, semantic_loss=0.3382, center_loss=0.1289, offset_loss=0.2165 2021-04-19 03:15:31 [INFO] [TRAIN] epoch=102, iter=37800/90000, loss=0.7118, lr=0.000031, batch_cost=0.4921, reader_cost=0.00111, ips=2.0319 samples/sec | ETA 07:08:10 2021-04-19 03:15:31 [INFO] [LOSS] loss=0.7118, semantic_loss=0.3173, center_loss=0.1428, offset_loss=0.2517 2021-04-19 03:16:20 [INFO] [TRAIN] epoch=102, iter=37900/90000, loss=1.0587, lr=0.000031, batch_cost=0.4963, reader_cost=0.00074, ips=2.0149 samples/sec | ETA 07:10:57 2021-04-19 03:16:20 [INFO] [LOSS] loss=1.0587, semantic_loss=0.3502, center_loss=0.1340, offset_loss=0.5746 2021-04-19 03:17:13 [INFO] [TRAIN] epoch=103, iter=38000/90000, loss=0.6749, lr=0.000031, batch_cost=0.5258, reader_cost=0.03218, ips=1.9020 samples/sec | ETA 07:35:39 2021-04-19 03:17:13 [INFO] [LOSS] loss=0.6749, semantic_loss=0.3596, center_loss=0.1183, offset_loss=0.1970 2021-04-19 03:18:03 [INFO] [TRAIN] epoch=103, iter=38100/90000, loss=0.8911, lr=0.000030, batch_cost=0.4939, reader_cost=0.00098, ips=2.0249 samples/sec | ETA 07:07:10 2021-04-19 03:18:03 [INFO] [LOSS] loss=0.8911, semantic_loss=0.3576, center_loss=0.1581, offset_loss=0.3754 2021-04-19 03:18:52 [INFO] [TRAIN] epoch=103, iter=38200/90000, loss=0.8602, lr=0.000030, batch_cost=0.4943, reader_cost=0.00066, ips=2.0229 samples/sec | ETA 07:06:46 2021-04-19 03:18:52 [INFO] [LOSS] loss=0.8602, semantic_loss=0.3128, center_loss=0.1523, offset_loss=0.3950 2021-04-19 03:19:42 [INFO] [TRAIN] epoch=103, iter=38300/90000, loss=0.6662, lr=0.000030, batch_cost=0.4957, reader_cost=0.00115, ips=2.0172 samples/sec | ETA 07:07:09 2021-04-19 03:19:42 [INFO] [LOSS] loss=0.6662, semantic_loss=0.3416, center_loss=0.1212, offset_loss=0.2034 2021-04-19 03:20:34 [INFO] [TRAIN] epoch=104, iter=38400/90000, loss=0.9640, lr=0.000030, batch_cost=0.5241, reader_cost=0.03785, ips=1.9079 samples/sec | ETA 07:30:45 2021-04-19 03:20:34 [INFO] [LOSS] loss=0.9640, semantic_loss=0.3214, center_loss=0.1598, offset_loss=0.4828 2021-04-19 03:21:24 [INFO] [TRAIN] epoch=104, iter=38500/90000, loss=0.6444, lr=0.000030, batch_cost=0.4920, reader_cost=0.00075, ips=2.0327 samples/sec | ETA 07:02:16 2021-04-19 03:21:24 [INFO] [LOSS] loss=0.6444, semantic_loss=0.3195, center_loss=0.1462, offset_loss=0.1787 2021-04-19 03:22:13 [INFO] [TRAIN] epoch=104, iter=38600/90000, loss=0.6275, lr=0.000030, batch_cost=0.4951, reader_cost=0.00056, ips=2.0199 samples/sec | ETA 07:04:07 2021-04-19 03:22:13 [INFO] [LOSS] loss=0.6275, semantic_loss=0.3178, center_loss=0.1365, offset_loss=0.1732 2021-04-19 03:23:06 [INFO] [TRAIN] epoch=105, iter=38700/90000, loss=0.7370, lr=0.000030, batch_cost=0.5250, reader_cost=0.03555, ips=1.9049 samples/sec | ETA 07:28:51 2021-04-19 03:23:06 [INFO] [LOSS] loss=0.7370, semantic_loss=0.3430, center_loss=0.1454, offset_loss=0.2486 2021-04-19 03:23:56 [INFO] [TRAIN] epoch=105, iter=38800/90000, loss=0.7167, lr=0.000030, batch_cost=0.4946, reader_cost=0.00100, ips=2.0218 samples/sec | ETA 07:02:03 2021-04-19 03:23:56 [INFO] [LOSS] loss=0.7167, semantic_loss=0.3572, center_loss=0.1364, offset_loss=0.2232 2021-04-19 03:24:45 [INFO] [TRAIN] epoch=105, iter=38900/90000, loss=0.6488, lr=0.000030, batch_cost=0.4926, reader_cost=0.00073, ips=2.0301 samples/sec | ETA 06:59:31 2021-04-19 03:24:45 [INFO] [LOSS] loss=0.6488, semantic_loss=0.3142, center_loss=0.1440, offset_loss=0.1906 2021-04-19 03:25:35 [INFO] [TRAIN] epoch=105, iter=39000/90000, loss=0.6849, lr=0.000030, batch_cost=0.4955, reader_cost=0.00067, ips=2.0182 samples/sec | ETA 07:01:09 2021-04-19 03:25:35 [INFO] [LOSS] loss=0.6849, semantic_loss=0.3308, center_loss=0.1644, offset_loss=0.1897 2021-04-19 03:26:27 [INFO] [TRAIN] epoch=106, iter=39100/90000, loss=0.6625, lr=0.000030, batch_cost=0.5248, reader_cost=0.03858, ips=1.9055 samples/sec | ETA 07:25:11 2021-04-19 03:26:27 [INFO] [LOSS] loss=0.6625, semantic_loss=0.3341, center_loss=0.1274, offset_loss=0.2010 2021-04-19 03:27:17 [INFO] [TRAIN] epoch=106, iter=39200/90000, loss=0.7256, lr=0.000030, batch_cost=0.4918, reader_cost=0.00076, ips=2.0335 samples/sec | ETA 06:56:21 2021-04-19 03:27:17 [INFO] [LOSS] loss=0.7256, semantic_loss=0.3419, center_loss=0.1676, offset_loss=0.2161 2021-04-19 03:28:06 [INFO] [TRAIN] epoch=106, iter=39300/90000, loss=0.6780, lr=0.000030, batch_cost=0.4930, reader_cost=0.00109, ips=2.0283 samples/sec | ETA 06:56:36 2021-04-19 03:28:06 [INFO] [LOSS] loss=0.6780, semantic_loss=0.3441, center_loss=0.1248, offset_loss=0.2092 2021-04-19 03:28:56 [INFO] [TRAIN] epoch=106, iter=39400/90000, loss=0.7090, lr=0.000030, batch_cost=0.4994, reader_cost=0.00085, ips=2.0025 samples/sec | ETA 07:01:09 2021-04-19 03:28:56 [INFO] [LOSS] loss=0.7090, semantic_loss=0.3382, center_loss=0.1342, offset_loss=0.2366 2021-04-19 03:29:49 [INFO] [TRAIN] epoch=107, iter=39500/90000, loss=0.9381, lr=0.000030, batch_cost=0.5282, reader_cost=0.03644, ips=1.8931 samples/sec | ETA 07:24:35 2021-04-19 03:29:49 [INFO] [LOSS] loss=0.9381, semantic_loss=0.3880, center_loss=0.1336, offset_loss=0.4165 2021-04-19 03:30:39 [INFO] [TRAIN] epoch=107, iter=39600/90000, loss=0.6344, lr=0.000030, batch_cost=0.4952, reader_cost=0.00069, ips=2.0195 samples/sec | ETA 06:55:56 2021-04-19 03:30:39 [INFO] [LOSS] loss=0.6344, semantic_loss=0.3299, center_loss=0.1597, offset_loss=0.1449 2021-04-19 03:31:29 [INFO] [TRAIN] epoch=107, iter=39700/90000, loss=0.6581, lr=0.000030, batch_cost=0.4961, reader_cost=0.00077, ips=2.0157 samples/sec | ETA 06:55:54 2021-04-19 03:31:29 [INFO] [LOSS] loss=0.6581, semantic_loss=0.3288, center_loss=0.1347, offset_loss=0.1946 2021-04-19 03:32:18 [INFO] [TRAIN] epoch=107, iter=39800/90000, loss=0.7694, lr=0.000030, batch_cost=0.4932, reader_cost=0.00056, ips=2.0275 samples/sec | ETA 06:52:39 2021-04-19 03:32:18 [INFO] [LOSS] loss=0.7694, semantic_loss=0.3254, center_loss=0.1168, offset_loss=0.3272 2021-04-19 03:33:11 [INFO] [TRAIN] epoch=108, iter=39900/90000, loss=0.6746, lr=0.000030, batch_cost=0.5279, reader_cost=0.03631, ips=1.8944 samples/sec | ETA 07:20:46 2021-04-19 03:33:11 [INFO] [LOSS] loss=0.6746, semantic_loss=0.3192, center_loss=0.1398, offset_loss=0.2156 2021-04-19 03:34:00 [INFO] [TRAIN] epoch=108, iter=40000/90000, loss=0.6758, lr=0.000029, batch_cost=0.4923, reader_cost=0.00121, ips=2.0311 samples/sec | ETA 06:50:16 2021-04-19 03:34:00 [INFO] [LOSS] loss=0.6758, semantic_loss=0.3343, center_loss=0.1575, offset_loss=0.1839 2021-04-19 03:34:57 [INFO] [TRAIN] epoch=108, iter=40100/90000, loss=0.6695, lr=0.000029, batch_cost=0.4947, reader_cost=0.00122, ips=2.0213 samples/sec | ETA 06:51:26 2021-04-19 03:34:57 [INFO] [LOSS] loss=0.6695, semantic_loss=0.3376, center_loss=0.1224, offset_loss=0.2094 2021-04-19 03:35:50 [INFO] [TRAIN] epoch=109, iter=40200/90000, loss=0.6992, lr=0.000029, batch_cost=0.5285, reader_cost=0.03333, ips=1.8922 samples/sec | ETA 07:18:37 2021-04-19 03:35:50 [INFO] [LOSS] loss=0.6992, semantic_loss=0.3481, center_loss=0.1493, offset_loss=0.2019 2021-04-19 03:36:40 [INFO] [TRAIN] epoch=109, iter=40300/90000, loss=0.6541, lr=0.000029, batch_cost=0.4941, reader_cost=0.00090, ips=2.0238 samples/sec | ETA 06:49:17 2021-04-19 03:36:40 [INFO] [LOSS] loss=0.6541, semantic_loss=0.3171, center_loss=0.1510, offset_loss=0.1860 2021-04-19 03:37:29 [INFO] [TRAIN] epoch=109, iter=40400/90000, loss=0.8543, lr=0.000029, batch_cost=0.4894, reader_cost=0.00073, ips=2.0434 samples/sec | ETA 06:44:32 2021-04-19 03:37:29 [INFO] [LOSS] loss=0.8543, semantic_loss=0.3407, center_loss=0.1287, offset_loss=0.3849 2021-04-19 03:38:18 [INFO] [TRAIN] epoch=109, iter=40500/90000, loss=0.6406, lr=0.000029, batch_cost=0.4932, reader_cost=0.00055, ips=2.0276 samples/sec | ETA 06:46:53 2021-04-19 03:38:18 [INFO] [LOSS] loss=0.6406, semantic_loss=0.3351, center_loss=0.1306, offset_loss=0.1748 2021-04-19 03:39:11 [INFO] [TRAIN] epoch=110, iter=40600/90000, loss=0.7356, lr=0.000029, batch_cost=0.5280, reader_cost=0.03667, ips=1.8939 samples/sec | ETA 07:14:43 2021-04-19 03:39:11 [INFO] [LOSS] loss=0.7356, semantic_loss=0.3728, center_loss=0.1345, offset_loss=0.2283 2021-04-19 03:40:00 [INFO] [TRAIN] epoch=110, iter=40700/90000, loss=0.6695, lr=0.000029, batch_cost=0.4920, reader_cost=0.00064, ips=2.0324 samples/sec | ETA 06:44:17 2021-04-19 03:40:00 [INFO] [LOSS] loss=0.6695, semantic_loss=0.3459, center_loss=0.1505, offset_loss=0.1732 2021-04-19 03:40:50 [INFO] [TRAIN] epoch=110, iter=40800/90000, loss=0.5945, lr=0.000029, batch_cost=0.4951, reader_cost=0.00093, ips=2.0199 samples/sec | ETA 06:45:57 2021-04-19 03:40:50 [INFO] [LOSS] loss=0.5945, semantic_loss=0.3289, center_loss=0.1493, offset_loss=0.1163 2021-04-19 03:41:40 [INFO] [TRAIN] epoch=110, iter=40900/90000, loss=0.6581, lr=0.000029, batch_cost=0.4965, reader_cost=0.00058, ips=2.0141 samples/sec | ETA 06:46:18 2021-04-19 03:41:40 [INFO] [LOSS] loss=0.6581, semantic_loss=0.3476, center_loss=0.1275, offset_loss=0.1830 2021-04-19 03:42:32 [INFO] [TRAIN] epoch=111, iter=41000/90000, loss=0.6573, lr=0.000029, batch_cost=0.5249, reader_cost=0.03756, ips=1.9051 samples/sec | ETA 07:08:40 2021-04-19 03:42:32 [INFO] [LOSS] loss=0.6573, semantic_loss=0.3284, center_loss=0.1522, offset_loss=0.1768 2021-04-19 03:43:22 [INFO] [TRAIN] epoch=111, iter=41100/90000, loss=1.0341, lr=0.000029, batch_cost=0.4943, reader_cost=0.00096, ips=2.0231 samples/sec | ETA 06:42:50 2021-04-19 03:43:22 [INFO] [LOSS] loss=1.0341, semantic_loss=0.3319, center_loss=0.1433, offset_loss=0.5588 2021-04-19 03:44:12 [INFO] [TRAIN] epoch=111, iter=41200/90000, loss=0.7604, lr=0.000029, batch_cost=0.4951, reader_cost=0.00081, ips=2.0196 samples/sec | ETA 06:42:43 2021-04-19 03:44:12 [INFO] [LOSS] loss=0.7604, semantic_loss=0.3543, center_loss=0.1324, offset_loss=0.2737 2021-04-19 03:45:05 [INFO] [TRAIN] epoch=112, iter=41300/90000, loss=0.6683, lr=0.000029, batch_cost=0.5281, reader_cost=0.04028, ips=1.8937 samples/sec | ETA 07:08:36 2021-04-19 03:45:05 [INFO] [LOSS] loss=0.6683, semantic_loss=0.3527, center_loss=0.1406, offset_loss=0.1750 2021-04-19 03:45:54 [INFO] [TRAIN] epoch=112, iter=41400/90000, loss=0.6754, lr=0.000029, batch_cost=0.4919, reader_cost=0.00129, ips=2.0330 samples/sec | ETA 06:38:25 2021-04-19 03:45:54 [INFO] [LOSS] loss=0.6754, semantic_loss=0.3377, center_loss=0.1433, offset_loss=0.1943 2021-04-19 03:46:43 [INFO] [TRAIN] epoch=112, iter=41500/90000, loss=0.6657, lr=0.000029, batch_cost=0.4926, reader_cost=0.00109, ips=2.0302 samples/sec | ETA 06:38:09 2021-04-19 03:46:43 [INFO] [LOSS] loss=0.6657, semantic_loss=0.3269, center_loss=0.1690, offset_loss=0.1697 2021-04-19 03:47:33 [INFO] [TRAIN] epoch=112, iter=41600/90000, loss=0.7045, lr=0.000029, batch_cost=0.4991, reader_cost=0.00101, ips=2.0035 samples/sec | ETA 06:42:38 2021-04-19 03:47:33 [INFO] [LOSS] loss=0.7045, semantic_loss=0.3012, center_loss=0.1789, offset_loss=0.2244 2021-04-19 03:48:26 [INFO] [TRAIN] epoch=113, iter=41700/90000, loss=0.6900, lr=0.000029, batch_cost=0.5197, reader_cost=0.03205, ips=1.9243 samples/sec | ETA 06:58:19 2021-04-19 03:48:26 [INFO] [LOSS] loss=0.6900, semantic_loss=0.3539, center_loss=0.1320, offset_loss=0.2041 2021-04-19 03:49:15 [INFO] [TRAIN] epoch=113, iter=41800/90000, loss=0.6256, lr=0.000029, batch_cost=0.4951, reader_cost=0.00104, ips=2.0199 samples/sec | ETA 06:37:42 2021-04-19 03:49:15 [INFO] [LOSS] loss=0.6256, semantic_loss=0.3051, center_loss=0.1267, offset_loss=0.1938 2021-04-19 03:50:05 [INFO] [TRAIN] epoch=113, iter=41900/90000, loss=0.6121, lr=0.000028, batch_cost=0.4947, reader_cost=0.00111, ips=2.0216 samples/sec | ETA 06:36:33 2021-04-19 03:50:05 [INFO] [LOSS] loss=0.6121, semantic_loss=0.3154, center_loss=0.1304, offset_loss=0.1663 2021-04-19 03:50:54 [INFO] [TRAIN] epoch=113, iter=42000/90000, loss=0.6669, lr=0.000028, batch_cost=0.4956, reader_cost=0.00087, ips=2.0178 samples/sec | ETA 06:36:27 2021-04-19 03:50:54 [INFO] [LOSS] loss=0.6669, semantic_loss=0.3297, center_loss=0.1335, offset_loss=0.2037 2021-04-19 03:51:47 [INFO] [TRAIN] epoch=114, iter=42100/90000, loss=0.8278, lr=0.000028, batch_cost=0.5258, reader_cost=0.03198, ips=1.9018 samples/sec | ETA 06:59:46 2021-04-19 03:51:47 [INFO] [LOSS] loss=0.8278, semantic_loss=0.3699, center_loss=0.1306, offset_loss=0.3272 2021-04-19 03:52:37 [INFO] [TRAIN] epoch=114, iter=42200/90000, loss=0.6246, lr=0.000028, batch_cost=0.4955, reader_cost=0.00073, ips=2.0182 samples/sec | ETA 06:34:44 2021-04-19 03:52:37 [INFO] [LOSS] loss=0.6246, semantic_loss=0.3091, center_loss=0.1345, offset_loss=0.1810 2021-04-19 03:53:26 [INFO] [TRAIN] epoch=114, iter=42300/90000, loss=0.5934, lr=0.000028, batch_cost=0.4936, reader_cost=0.00055, ips=2.0260 samples/sec | ETA 06:32:23 2021-04-19 03:53:26 [INFO] [LOSS] loss=0.5934, semantic_loss=0.2970, center_loss=0.1300, offset_loss=0.1664 2021-04-19 03:54:16 [INFO] [TRAIN] epoch=114, iter=42400/90000, loss=0.6372, lr=0.000028, batch_cost=0.4949, reader_cost=0.00084, ips=2.0205 samples/sec | ETA 06:32:38 2021-04-19 03:54:16 [INFO] [LOSS] loss=0.6372, semantic_loss=0.3141, center_loss=0.1379, offset_loss=0.1852 2021-04-19 03:55:09 [INFO] [TRAIN] epoch=115, iter=42500/90000, loss=0.6765, lr=0.000028, batch_cost=0.5253, reader_cost=0.03507, ips=1.9037 samples/sec | ETA 06:55:51 2021-04-19 03:55:09 [INFO] [LOSS] loss=0.6765, semantic_loss=0.2850, center_loss=0.1522, offset_loss=0.2393 2021-04-19 03:55:58 [INFO] [TRAIN] epoch=115, iter=42600/90000, loss=0.6748, lr=0.000028, batch_cost=0.4917, reader_cost=0.00079, ips=2.0337 samples/sec | ETA 06:28:27 2021-04-19 03:55:58 [INFO] [LOSS] loss=0.6748, semantic_loss=0.3353, center_loss=0.1272, offset_loss=0.2123 2021-04-19 03:56:48 [INFO] [TRAIN] epoch=115, iter=42700/90000, loss=0.6396, lr=0.000028, batch_cost=0.4959, reader_cost=0.00130, ips=2.0165 samples/sec | ETA 06:30:57 2021-04-19 03:56:48 [INFO] [LOSS] loss=0.6396, semantic_loss=0.3244, center_loss=0.1214, offset_loss=0.1938 2021-04-19 03:57:41 [INFO] [TRAIN] epoch=116, iter=42800/90000, loss=0.9188, lr=0.000028, batch_cost=0.5275, reader_cost=0.03415, ips=1.8958 samples/sec | ETA 06:54:57 2021-04-19 03:57:41 [INFO] [LOSS] loss=0.9188, semantic_loss=0.3570, center_loss=0.1405, offset_loss=0.4213 2021-04-19 03:58:30 [INFO] [TRAIN] epoch=116, iter=42900/90000, loss=0.6365, lr=0.000028, batch_cost=0.4926, reader_cost=0.00069, ips=2.0299 samples/sec | ETA 06:26:43 2021-04-19 03:58:30 [INFO] [LOSS] loss=0.6365, semantic_loss=0.2997, center_loss=0.1388, offset_loss=0.1980 2021-04-19 03:59:20 [INFO] [TRAIN] epoch=116, iter=43000/90000, loss=0.6536, lr=0.000028, batch_cost=0.4947, reader_cost=0.00055, ips=2.0214 samples/sec | ETA 06:27:30 2021-04-19 03:59:20 [INFO] [LOSS] loss=0.6536, semantic_loss=0.3212, center_loss=0.1509, offset_loss=0.1815 2021-04-19 04:00:09 [INFO] [TRAIN] epoch=116, iter=43100/90000, loss=0.7120, lr=0.000028, batch_cost=0.4954, reader_cost=0.00073, ips=2.0187 samples/sec | ETA 06:27:12 2021-04-19 04:00:09 [INFO] [LOSS] loss=0.7120, semantic_loss=0.3303, center_loss=0.1391, offset_loss=0.2426 2021-04-19 04:01:02 [INFO] [TRAIN] epoch=117, iter=43200/90000, loss=0.6843, lr=0.000028, batch_cost=0.5223, reader_cost=0.03463, ips=1.9146 samples/sec | ETA 06:47:23 2021-04-19 04:01:02 [INFO] [LOSS] loss=0.6843, semantic_loss=0.3281, center_loss=0.1375, offset_loss=0.2187 2021-04-19 04:01:51 [INFO] [TRAIN] epoch=117, iter=43300/90000, loss=0.6226, lr=0.000028, batch_cost=0.4912, reader_cost=0.00045, ips=2.0357 samples/sec | ETA 06:22:20 2021-04-19 04:01:51 [INFO] [LOSS] loss=0.6226, semantic_loss=0.3154, center_loss=0.1349, offset_loss=0.1723 2021-04-19 04:02:40 [INFO] [TRAIN] epoch=117, iter=43400/90000, loss=0.6332, lr=0.000028, batch_cost=0.4913, reader_cost=0.00068, ips=2.0353 samples/sec | ETA 06:21:35 2021-04-19 04:02:40 [INFO] [LOSS] loss=0.6332, semantic_loss=0.3192, center_loss=0.1346, offset_loss=0.1795 2021-04-19 04:03:30 [INFO] [TRAIN] epoch=117, iter=43500/90000, loss=0.7721, lr=0.000028, batch_cost=0.4997, reader_cost=0.00086, ips=2.0012 samples/sec | ETA 06:27:15 2021-04-19 04:03:30 [INFO] [LOSS] loss=0.7721, semantic_loss=0.4274, center_loss=0.1245, offset_loss=0.2203 2021-04-19 04:04:23 [INFO] [TRAIN] epoch=118, iter=43600/90000, loss=0.6693, lr=0.000028, batch_cost=0.5228, reader_cost=0.03264, ips=1.9126 samples/sec | ETA 06:44:19 2021-04-19 04:04:23 [INFO] [LOSS] loss=0.6693, semantic_loss=0.3419, center_loss=0.1600, offset_loss=0.1674 2021-04-19 04:05:12 [INFO] [TRAIN] epoch=118, iter=43700/90000, loss=0.7114, lr=0.000027, batch_cost=0.4934, reader_cost=0.00093, ips=2.0266 samples/sec | ETA 06:20:45 2021-04-19 04:05:12 [INFO] [LOSS] loss=0.7114, semantic_loss=0.3326, center_loss=0.1670, offset_loss=0.2118 2021-04-19 04:06:02 [INFO] [TRAIN] epoch=118, iter=43800/90000, loss=0.6188, lr=0.000027, batch_cost=0.4942, reader_cost=0.00103, ips=2.0235 samples/sec | ETA 06:20:31 2021-04-19 04:06:02 [INFO] [LOSS] loss=0.6188, semantic_loss=0.3228, center_loss=0.1188, offset_loss=0.1772 2021-04-19 04:06:54 [INFO] [TRAIN] epoch=119, iter=43900/90000, loss=0.6456, lr=0.000027, batch_cost=0.5256, reader_cost=0.03321, ips=1.9026 samples/sec | ETA 06:43:50 2021-04-19 04:06:54 [INFO] [LOSS] loss=0.6456, semantic_loss=0.3367, center_loss=0.1178, offset_loss=0.1911 2021-04-19 04:07:44 [INFO] [TRAIN] epoch=119, iter=44000/90000, loss=0.6434, lr=0.000027, batch_cost=0.4927, reader_cost=0.00075, ips=2.0297 samples/sec | ETA 06:17:43 2021-04-19 04:07:44 [INFO] [LOSS] loss=0.6434, semantic_loss=0.3162, center_loss=0.1583, offset_loss=0.1688 2021-04-19 04:08:34 [INFO] [TRAIN] epoch=119, iter=44100/90000, loss=0.5927, lr=0.000027, batch_cost=0.4953, reader_cost=0.00081, ips=2.0190 samples/sec | ETA 06:18:54 2021-04-19 04:08:34 [INFO] [LOSS] loss=0.5927, semantic_loss=0.3363, center_loss=0.1213, offset_loss=0.1351 2021-04-19 04:09:23 [INFO] [TRAIN] epoch=119, iter=44200/90000, loss=0.6539, lr=0.000027, batch_cost=0.4950, reader_cost=0.00097, ips=2.0201 samples/sec | ETA 06:17:52 2021-04-19 04:09:23 [INFO] [LOSS] loss=0.6539, semantic_loss=0.3395, center_loss=0.1640, offset_loss=0.1505 2021-04-19 04:10:16 [INFO] [TRAIN] epoch=120, iter=44300/90000, loss=0.6401, lr=0.000027, batch_cost=0.5275, reader_cost=0.03718, ips=1.8958 samples/sec | ETA 06:41:46 2021-04-19 04:10:16 [INFO] [LOSS] loss=0.6401, semantic_loss=0.3237, center_loss=0.1369, offset_loss=0.1794 2021-04-19 04:11:05 [INFO] [TRAIN] epoch=120, iter=44400/90000, loss=0.7117, lr=0.000027, batch_cost=0.4932, reader_cost=0.00062, ips=2.0277 samples/sec | ETA 06:14:49 2021-04-19 04:11:05 [INFO] [LOSS] loss=0.7117, semantic_loss=0.3369, center_loss=0.1541, offset_loss=0.2206 2021-04-19 04:11:55 [INFO] [TRAIN] epoch=120, iter=44500/90000, loss=0.6490, lr=0.000027, batch_cost=0.4955, reader_cost=0.00077, ips=2.0180 samples/sec | ETA 06:15:46 2021-04-19 04:11:55 [INFO] [LOSS] loss=0.6490, semantic_loss=0.2913, center_loss=0.1341, offset_loss=0.2236 2021-04-19 04:12:45 [INFO] [TRAIN] epoch=120, iter=44600/90000, loss=0.6501, lr=0.000027, batch_cost=0.4973, reader_cost=0.00105, ips=2.0108 samples/sec | ETA 06:16:17 2021-04-19 04:12:45 [INFO] [LOSS] loss=0.6501, semantic_loss=0.3303, center_loss=0.1307, offset_loss=0.1891 2021-04-19 04:13:37 [INFO] [TRAIN] epoch=121, iter=44700/90000, loss=0.8732, lr=0.000027, batch_cost=0.5221, reader_cost=0.03033, ips=1.9152 samples/sec | ETA 06:34:13 2021-04-19 04:13:37 [INFO] [LOSS] loss=0.8732, semantic_loss=0.3563, center_loss=0.1419, offset_loss=0.3750 2021-04-19 04:14:27 [INFO] [TRAIN] epoch=121, iter=44800/90000, loss=0.6428, lr=0.000027, batch_cost=0.4938, reader_cost=0.00112, ips=2.0252 samples/sec | ETA 06:11:58 2021-04-19 04:14:27 [INFO] [LOSS] loss=0.6428, semantic_loss=0.3307, center_loss=0.1430, offset_loss=0.1691 2021-04-19 04:15:16 [INFO] [TRAIN] epoch=121, iter=44900/90000, loss=0.7278, lr=0.000027, batch_cost=0.4949, reader_cost=0.00137, ips=2.0207 samples/sec | ETA 06:11:59 2021-04-19 04:15:16 [INFO] [LOSS] loss=0.7278, semantic_loss=0.3339, center_loss=0.1269, offset_loss=0.2670 2021-04-19 04:16:06 [INFO] [TRAIN] epoch=121, iter=45000/90000, loss=0.6600, lr=0.000027, batch_cost=0.4960, reader_cost=0.00094, ips=2.0161 samples/sec | ETA 06:12:00 2021-04-19 04:16:06 [INFO] [LOSS] loss=0.6600, semantic_loss=0.3347, center_loss=0.1262, offset_loss=0.1991 2021-04-19 04:17:06 [INFO] [TRAIN] epoch=122, iter=45100/90000, loss=0.6510, lr=0.000027, batch_cost=0.5218, reader_cost=0.03639, ips=1.9165 samples/sec | ETA 06:30:28 2021-04-19 04:17:06 [INFO] [LOSS] loss=0.6510, semantic_loss=0.3220, center_loss=0.1484, offset_loss=0.1807 2021-04-19 04:17:55 [INFO] [TRAIN] epoch=122, iter=45200/90000, loss=0.5975, lr=0.000027, batch_cost=0.4941, reader_cost=0.00115, ips=2.0239 samples/sec | ETA 06:08:56 2021-04-19 04:17:55 [INFO] [LOSS] loss=0.5975, semantic_loss=0.3075, center_loss=0.1391, offset_loss=0.1509 2021-04-19 04:18:45 [INFO] [TRAIN] epoch=122, iter=45300/90000, loss=0.8904, lr=0.000027, batch_cost=0.4943, reader_cost=0.00043, ips=2.0231 samples/sec | ETA 06:08:14 2021-04-19 04:18:45 [INFO] [LOSS] loss=0.8904, semantic_loss=0.3388, center_loss=0.1338, offset_loss=0.4178 2021-04-19 04:19:38 [INFO] [TRAIN] epoch=123, iter=45400/90000, loss=0.7289, lr=0.000027, batch_cost=0.5303, reader_cost=0.04181, ips=1.8856 samples/sec | ETA 06:34:12 2021-04-19 04:19:38 [INFO] [LOSS] loss=0.7289, semantic_loss=0.3523, center_loss=0.1467, offset_loss=0.2299 2021-04-19 04:20:28 [INFO] [TRAIN] epoch=123, iter=45500/90000, loss=0.6161, lr=0.000027, batch_cost=0.4952, reader_cost=0.00092, ips=2.0195 samples/sec | ETA 06:07:15 2021-04-19 04:20:28 [INFO] [LOSS] loss=0.6161, semantic_loss=0.3087, center_loss=0.1332, offset_loss=0.1742 2021-04-19 04:21:17 [INFO] [TRAIN] epoch=123, iter=45600/90000, loss=0.5296, lr=0.000026, batch_cost=0.4941, reader_cost=0.00122, ips=2.0241 samples/sec | ETA 06:05:36 2021-04-19 04:21:17 [INFO] [LOSS] loss=0.5296, semantic_loss=0.2918, center_loss=0.1216, offset_loss=0.1162 2021-04-19 04:22:07 [INFO] [TRAIN] epoch=123, iter=45700/90000, loss=0.6990, lr=0.000026, batch_cost=0.4980, reader_cost=0.00114, ips=2.0080 samples/sec | ETA 06:07:41 2021-04-19 04:22:07 [INFO] [LOSS] loss=0.6990, semantic_loss=0.3504, center_loss=0.1344, offset_loss=0.2142 2021-04-19 04:23:00 [INFO] [TRAIN] epoch=124, iter=45800/90000, loss=0.6572, lr=0.000026, batch_cost=0.5230, reader_cost=0.03275, ips=1.9121 samples/sec | ETA 06:25:15 2021-04-19 04:23:00 [INFO] [LOSS] loss=0.6572, semantic_loss=0.3306, center_loss=0.1318, offset_loss=0.1948 2021-04-19 04:23:49 [INFO] [TRAIN] epoch=124, iter=45900/90000, loss=0.7360, lr=0.000026, batch_cost=0.4949, reader_cost=0.00068, ips=2.0204 samples/sec | ETA 06:03:46 2021-04-19 04:23:49 [INFO] [LOSS] loss=0.7360, semantic_loss=0.3341, center_loss=0.1333, offset_loss=0.2686 2021-04-19 04:24:39 [INFO] [TRAIN] epoch=124, iter=46000/90000, loss=0.5850, lr=0.000026, batch_cost=0.4948, reader_cost=0.00104, ips=2.0209 samples/sec | ETA 06:02:52 2021-04-19 04:24:39 [INFO] [LOSS] loss=0.5850, semantic_loss=0.2994, center_loss=0.1243, offset_loss=0.1612 2021-04-19 04:25:29 [INFO] [TRAIN] epoch=124, iter=46100/90000, loss=1.1816, lr=0.000026, batch_cost=0.4978, reader_cost=0.00192, ips=2.0088 samples/sec | ETA 06:04:13 2021-04-19 04:25:29 [INFO] [LOSS] loss=1.1816, semantic_loss=0.3244, center_loss=0.1348, offset_loss=0.7224 2021-04-19 04:26:21 [INFO] [TRAIN] epoch=125, iter=46200/90000, loss=0.8566, lr=0.000026, batch_cost=0.5236, reader_cost=0.03531, ips=1.9098 samples/sec | ETA 06:22:14 2021-04-19 04:26:21 [INFO] [LOSS] loss=0.8566, semantic_loss=0.3455, center_loss=0.1408, offset_loss=0.3703 2021-04-19 04:27:11 [INFO] [TRAIN] epoch=125, iter=46300/90000, loss=0.6067, lr=0.000026, batch_cost=0.4903, reader_cost=0.00067, ips=2.0397 samples/sec | ETA 05:57:04 2021-04-19 04:27:11 [INFO] [LOSS] loss=0.6067, semantic_loss=0.3231, center_loss=0.1271, offset_loss=0.1565 2021-04-19 04:28:00 [INFO] [TRAIN] epoch=125, iter=46400/90000, loss=0.5771, lr=0.000026, batch_cost=0.4972, reader_cost=0.00065, ips=2.0114 samples/sec | ETA 06:01:16 2021-04-19 04:28:00 [INFO] [LOSS] loss=0.5771, semantic_loss=0.2827, center_loss=0.1463, offset_loss=0.1481 2021-04-19 04:28:49 [INFO] [TRAIN] epoch=125, iter=46500/90000, loss=0.5724, lr=0.000026, batch_cost=0.4892, reader_cost=0.00087, ips=2.0441 samples/sec | ETA 05:54:40 2021-04-19 04:28:49 [INFO] [LOSS] loss=0.5724, semantic_loss=0.3194, center_loss=0.1281, offset_loss=0.1249 2021-04-19 04:29:42 [INFO] [TRAIN] epoch=126, iter=46600/90000, loss=0.5603, lr=0.000026, batch_cost=0.5295, reader_cost=0.03334, ips=1.8887 samples/sec | ETA 06:22:58 2021-04-19 04:29:42 [INFO] [LOSS] loss=0.5603, semantic_loss=0.2970, center_loss=0.1350, offset_loss=0.1284 2021-04-19 04:30:32 [INFO] [TRAIN] epoch=126, iter=46700/90000, loss=0.6510, lr=0.000026, batch_cost=0.4944, reader_cost=0.00101, ips=2.0225 samples/sec | ETA 05:56:48 2021-04-19 04:30:32 [INFO] [LOSS] loss=0.6510, semantic_loss=0.3014, center_loss=0.1333, offset_loss=0.2162 2021-04-19 04:31:22 [INFO] [TRAIN] epoch=126, iter=46800/90000, loss=0.5816, lr=0.000026, batch_cost=0.4956, reader_cost=0.00074, ips=2.0176 samples/sec | ETA 05:56:51 2021-04-19 04:31:22 [INFO] [LOSS] loss=0.5816, semantic_loss=0.3021, center_loss=0.0990, offset_loss=0.1804 2021-04-19 04:32:15 [INFO] [TRAIN] epoch=127, iter=46900/90000, loss=0.6416, lr=0.000026, batch_cost=0.5283, reader_cost=0.03363, ips=1.8930 samples/sec | ETA 06:19:28 2021-04-19 04:32:15 [INFO] [LOSS] loss=0.6416, semantic_loss=0.3241, center_loss=0.1343, offset_loss=0.1831 2021-04-19 04:33:04 [INFO] [TRAIN] epoch=127, iter=47000/90000, loss=0.6805, lr=0.000026, batch_cost=0.4924, reader_cost=0.00135, ips=2.0311 samples/sec | ETA 05:52:51 2021-04-19 04:33:04 [INFO] [LOSS] loss=0.6805, semantic_loss=0.3460, center_loss=0.1286, offset_loss=0.2058 2021-04-19 04:33:54 [INFO] [TRAIN] epoch=127, iter=47100/90000, loss=0.5987, lr=0.000026, batch_cost=0.4952, reader_cost=0.00112, ips=2.0193 samples/sec | ETA 05:54:05 2021-04-19 04:33:54 [INFO] [LOSS] loss=0.5987, semantic_loss=0.2949, center_loss=0.1489, offset_loss=0.1550 2021-04-19 04:34:43 [INFO] [TRAIN] epoch=127, iter=47200/90000, loss=0.6331, lr=0.000026, batch_cost=0.4950, reader_cost=0.00135, ips=2.0202 samples/sec | ETA 05:53:05 2021-04-19 04:34:43 [INFO] [LOSS] loss=0.6331, semantic_loss=0.3404, center_loss=0.1287, offset_loss=0.1640 2021-04-19 04:35:36 [INFO] [TRAIN] epoch=128, iter=47300/90000, loss=0.6890, lr=0.000026, batch_cost=0.5261, reader_cost=0.03562, ips=1.9008 samples/sec | ETA 06:14:23 2021-04-19 04:35:36 [INFO] [LOSS] loss=0.6890, semantic_loss=0.3561, center_loss=0.1203, offset_loss=0.2126 2021-04-19 04:36:25 [INFO] [TRAIN] epoch=128, iter=47400/90000, loss=0.5569, lr=0.000026, batch_cost=0.4923, reader_cost=0.00104, ips=2.0311 samples/sec | ETA 05:49:33 2021-04-19 04:36:25 [INFO] [LOSS] loss=0.5569, semantic_loss=0.2917, center_loss=0.1357, offset_loss=0.1294 2021-04-19 04:37:15 [INFO] [TRAIN] epoch=128, iter=47500/90000, loss=0.5788, lr=0.000025, batch_cost=0.4945, reader_cost=0.00160, ips=2.0221 samples/sec | ETA 05:50:18 2021-04-19 04:37:15 [INFO] [LOSS] loss=0.5788, semantic_loss=0.2882, center_loss=0.1307, offset_loss=0.1600 2021-04-19 04:38:05 [INFO] [TRAIN] epoch=128, iter=47600/90000, loss=0.5857, lr=0.000025, batch_cost=0.4954, reader_cost=0.00111, ips=2.0187 samples/sec | ETA 05:50:03 2021-04-19 04:38:05 [INFO] [LOSS] loss=0.5857, semantic_loss=0.3057, center_loss=0.0982, offset_loss=0.1818 2021-04-19 04:38:57 [INFO] [TRAIN] epoch=129, iter=47700/90000, loss=0.7069, lr=0.000025, batch_cost=0.5267, reader_cost=0.03688, ips=1.8988 samples/sec | ETA 06:11:17 2021-04-19 04:38:57 [INFO] [LOSS] loss=0.7069, semantic_loss=0.2959, center_loss=0.1692, offset_loss=0.2418 2021-04-19 04:39:47 [INFO] [TRAIN] epoch=129, iter=47800/90000, loss=0.5299, lr=0.000025, batch_cost=0.4915, reader_cost=0.00080, ips=2.0347 samples/sec | ETA 05:45:39 2021-04-19 04:39:47 [INFO] [LOSS] loss=0.5299, semantic_loss=0.2815, center_loss=0.1346, offset_loss=0.1138 2021-04-19 04:40:37 [INFO] [TRAIN] epoch=129, iter=47900/90000, loss=0.5887, lr=0.000025, batch_cost=0.4993, reader_cost=0.00105, ips=2.0029 samples/sec | ETA 05:50:19 2021-04-19 04:40:37 [INFO] [LOSS] loss=0.5887, semantic_loss=0.2819, center_loss=0.1273, offset_loss=0.1795 2021-04-19 04:41:29 [INFO] [TRAIN] epoch=130, iter=48000/90000, loss=0.6458, lr=0.000025, batch_cost=0.5240, reader_cost=0.03485, ips=1.9085 samples/sec | ETA 06:06:47 2021-04-19 04:41:29 [INFO] [LOSS] loss=0.6458, semantic_loss=0.3323, center_loss=0.1302, offset_loss=0.1834 2021-04-19 04:42:18 [INFO] [TRAIN] epoch=130, iter=48100/90000, loss=0.5490, lr=0.000025, batch_cost=0.4902, reader_cost=0.00069, ips=2.0399 samples/sec | ETA 05:42:20 2021-04-19 04:42:18 [INFO] [LOSS] loss=0.5490, semantic_loss=0.2730, center_loss=0.1204, offset_loss=0.1555 2021-04-19 04:43:08 [INFO] [TRAIN] epoch=130, iter=48200/90000, loss=0.6375, lr=0.000025, batch_cost=0.4953, reader_cost=0.00109, ips=2.0192 samples/sec | ETA 05:45:01 2021-04-19 04:43:08 [INFO] [LOSS] loss=0.6375, semantic_loss=0.2969, center_loss=0.1133, offset_loss=0.2273 2021-04-19 04:43:58 [INFO] [TRAIN] epoch=130, iter=48300/90000, loss=0.6026, lr=0.000025, batch_cost=0.4963, reader_cost=0.00079, ips=2.0150 samples/sec | ETA 05:44:54 2021-04-19 04:43:58 [INFO] [LOSS] loss=0.6026, semantic_loss=0.3164, center_loss=0.1244, offset_loss=0.1618 2021-04-19 04:44:51 [INFO] [TRAIN] epoch=131, iter=48400/90000, loss=0.6240, lr=0.000025, batch_cost=0.5257, reader_cost=0.03526, ips=1.9021 samples/sec | ETA 06:04:30 2021-04-19 04:44:51 [INFO] [LOSS] loss=0.6240, semantic_loss=0.3433, center_loss=0.1243, offset_loss=0.1564 2021-04-19 04:45:40 [INFO] [TRAIN] epoch=131, iter=48500/90000, loss=0.6065, lr=0.000025, batch_cost=0.4930, reader_cost=0.00108, ips=2.0283 samples/sec | ETA 05:41:00 2021-04-19 04:45:40 [INFO] [LOSS] loss=0.6065, semantic_loss=0.3121, center_loss=0.1323, offset_loss=0.1621 2021-04-19 04:46:30 [INFO] [TRAIN] epoch=131, iter=48600/90000, loss=0.5931, lr=0.000025, batch_cost=0.4946, reader_cost=0.00084, ips=2.0217 samples/sec | ETA 05:41:17 2021-04-19 04:46:30 [INFO] [LOSS] loss=0.5931, semantic_loss=0.3032, center_loss=0.1270, offset_loss=0.1629 2021-04-19 04:47:19 [INFO] [TRAIN] epoch=131, iter=48700/90000, loss=0.6642, lr=0.000025, batch_cost=0.4965, reader_cost=0.00075, ips=2.0140 samples/sec | ETA 05:41:46 2021-04-19 04:47:19 [INFO] [LOSS] loss=0.6642, semantic_loss=0.3070, center_loss=0.1279, offset_loss=0.2293 2021-04-19 04:48:12 [INFO] [TRAIN] epoch=132, iter=48800/90000, loss=0.8985, lr=0.000025, batch_cost=0.5276, reader_cost=0.03363, ips=1.8955 samples/sec | ETA 06:02:15 2021-04-19 04:48:12 [INFO] [LOSS] loss=0.8985, semantic_loss=0.3268, center_loss=0.1227, offset_loss=0.4490 2021-04-19 04:49:02 [INFO] [TRAIN] epoch=132, iter=48900/90000, loss=0.6836, lr=0.000025, batch_cost=0.4938, reader_cost=0.00112, ips=2.0251 samples/sec | ETA 05:38:15 2021-04-19 04:49:02 [INFO] [LOSS] loss=0.6836, semantic_loss=0.3447, center_loss=0.1332, offset_loss=0.2057 2021-04-19 04:49:51 [INFO] [TRAIN] epoch=132, iter=49000/90000, loss=0.7093, lr=0.000025, batch_cost=0.4935, reader_cost=0.00057, ips=2.0264 samples/sec | ETA 05:37:12 2021-04-19 04:49:51 [INFO] [LOSS] loss=0.7093, semantic_loss=0.2929, center_loss=0.1311, offset_loss=0.2853 2021-04-19 04:50:41 [INFO] [TRAIN] epoch=132, iter=49100/90000, loss=0.5921, lr=0.000025, batch_cost=0.4931, reader_cost=0.00101, ips=2.0280 samples/sec | ETA 05:36:07 2021-04-19 04:50:41 [INFO] [LOSS] loss=0.5921, semantic_loss=0.3215, center_loss=0.1236, offset_loss=0.1471 2021-04-19 04:51:34 [INFO] [TRAIN] epoch=133, iter=49200/90000, loss=0.6450, lr=0.000025, batch_cost=0.5297, reader_cost=0.03435, ips=1.8879 samples/sec | ETA 06:00:11 2021-04-19 04:51:34 [INFO] [LOSS] loss=0.6450, semantic_loss=0.3277, center_loss=0.1384, offset_loss=0.1790 2021-04-19 04:52:24 [INFO] [TRAIN] epoch=133, iter=49300/90000, loss=0.5998, lr=0.000024, batch_cost=0.4960, reader_cost=0.00108, ips=2.0162 samples/sec | ETA 05:36:26 2021-04-19 04:52:24 [INFO] [LOSS] loss=0.5998, semantic_loss=0.3148, center_loss=0.1416, offset_loss=0.1435 2021-04-19 04:53:13 [INFO] [TRAIN] epoch=133, iter=49400/90000, loss=0.5471, lr=0.000024, batch_cost=0.4973, reader_cost=0.00074, ips=2.0109 samples/sec | ETA 05:36:29 2021-04-19 04:53:13 [INFO] [LOSS] loss=0.5471, semantic_loss=0.2929, center_loss=0.1205, offset_loss=0.1337 2021-04-19 04:54:06 [INFO] [TRAIN] epoch=134, iter=49500/90000, loss=0.6474, lr=0.000024, batch_cost=0.5274, reader_cost=0.03331, ips=1.8961 samples/sec | ETA 05:56:00 2021-04-19 04:54:06 [INFO] [LOSS] loss=0.6474, semantic_loss=0.3245, center_loss=0.1303, offset_loss=0.1926 2021-04-19 04:54:56 [INFO] [TRAIN] epoch=134, iter=49600/90000, loss=0.6702, lr=0.000024, batch_cost=0.4948, reader_cost=0.00114, ips=2.0211 samples/sec | ETA 05:33:09 2021-04-19 04:54:56 [INFO] [LOSS] loss=0.6702, semantic_loss=0.2906, center_loss=0.1083, offset_loss=0.2713 2021-04-19 04:55:46 [INFO] [TRAIN] epoch=134, iter=49700/90000, loss=0.6536, lr=0.000024, batch_cost=0.4959, reader_cost=0.00067, ips=2.0167 samples/sec | ETA 05:33:03 2021-04-19 04:55:46 [INFO] [LOSS] loss=0.6536, semantic_loss=0.3127, center_loss=0.1321, offset_loss=0.2088 2021-04-19 04:56:35 [INFO] [TRAIN] epoch=134, iter=49800/90000, loss=0.5922, lr=0.000024, batch_cost=0.4962, reader_cost=0.00043, ips=2.0154 samples/sec | ETA 05:32:26 2021-04-19 04:56:35 [INFO] [LOSS] loss=0.5922, semantic_loss=0.3051, center_loss=0.1209, offset_loss=0.1662 2021-04-19 04:57:28 [INFO] [TRAIN] epoch=135, iter=49900/90000, loss=0.6601, lr=0.000024, batch_cost=0.5263, reader_cost=0.03548, ips=1.9001 samples/sec | ETA 05:51:44 2021-04-19 04:57:28 [INFO] [LOSS] loss=0.6601, semantic_loss=0.3420, center_loss=0.1241, offset_loss=0.1941 2021-04-19 04:58:18 [INFO] [TRAIN] epoch=135, iter=50000/90000, loss=0.6039, lr=0.000024, batch_cost=0.4928, reader_cost=0.00080, ips=2.0294 samples/sec | ETA 05:28:30 2021-04-19 04:58:18 [INFO] [LOSS] loss=0.6039, semantic_loss=0.2772, center_loss=0.1369, offset_loss=0.1898 2021-04-19 04:59:14 [INFO] [TRAIN] epoch=135, iter=50100/90000, loss=0.6121, lr=0.000024, batch_cost=0.4924, reader_cost=0.00042, ips=2.0307 samples/sec | ETA 05:27:28 2021-04-19 04:59:14 [INFO] [LOSS] loss=0.6121, semantic_loss=0.2916, center_loss=0.1292, offset_loss=0.1913 2021-04-19 05:00:04 [INFO] [TRAIN] epoch=135, iter=50200/90000, loss=0.6562, lr=0.000024, batch_cost=0.4976, reader_cost=0.00061, ips=2.0098 samples/sec | ETA 05:30:03 2021-04-19 05:00:04 [INFO] [LOSS] loss=0.6562, semantic_loss=0.3328, center_loss=0.1432, offset_loss=0.1802 2021-04-19 05:00:57 [INFO] [TRAIN] epoch=136, iter=50300/90000, loss=0.5883, lr=0.000024, batch_cost=0.5241, reader_cost=0.03248, ips=1.9081 samples/sec | ETA 05:46:46 2021-04-19 05:00:57 [INFO] [LOSS] loss=0.5883, semantic_loss=0.3127, center_loss=0.1312, offset_loss=0.1444 2021-04-19 05:01:46 [INFO] [TRAIN] epoch=136, iter=50400/90000, loss=0.5819, lr=0.000024, batch_cost=0.4947, reader_cost=0.00055, ips=2.0213 samples/sec | ETA 05:26:31 2021-04-19 05:01:46 [INFO] [LOSS] loss=0.5819, semantic_loss=0.3226, center_loss=0.1341, offset_loss=0.1252 2021-04-19 05:02:36 [INFO] [TRAIN] epoch=136, iter=50500/90000, loss=0.5793, lr=0.000024, batch_cost=0.4984, reader_cost=0.00145, ips=2.0065 samples/sec | ETA 05:28:05 2021-04-19 05:02:36 [INFO] [LOSS] loss=0.5793, semantic_loss=0.2925, center_loss=0.1261, offset_loss=0.1607 2021-04-19 05:03:29 [INFO] [TRAIN] epoch=137, iter=50600/90000, loss=0.9035, lr=0.000024, batch_cost=0.5275, reader_cost=0.03638, ips=1.8956 samples/sec | ETA 05:46:25 2021-04-19 05:03:29 [INFO] [LOSS] loss=0.9035, semantic_loss=0.3206, center_loss=0.1109, offset_loss=0.4720 2021-04-19 05:04:19 [INFO] [TRAIN] epoch=137, iter=50700/90000, loss=0.9584, lr=0.000024, batch_cost=0.4959, reader_cost=0.00095, ips=2.0166 samples/sec | ETA 05:24:47 2021-04-19 05:04:19 [INFO] [LOSS] loss=0.9584, semantic_loss=0.3124, center_loss=0.1317, offset_loss=0.5143 2021-04-19 05:05:08 [INFO] [TRAIN] epoch=137, iter=50800/90000, loss=0.6580, lr=0.000024, batch_cost=0.4943, reader_cost=0.00102, ips=2.0230 samples/sec | ETA 05:22:57 2021-04-19 05:05:08 [INFO] [LOSS] loss=0.6580, semantic_loss=0.3259, center_loss=0.1431, offset_loss=0.1890 2021-04-19 05:05:58 [INFO] [TRAIN] epoch=137, iter=50900/90000, loss=0.6742, lr=0.000024, batch_cost=0.4986, reader_cost=0.00035, ips=2.0054 samples/sec | ETA 05:24:56 2021-04-19 05:05:58 [INFO] [LOSS] loss=0.6742, semantic_loss=0.2923, center_loss=0.1232, offset_loss=0.2587 2021-04-19 05:06:51 [INFO] [TRAIN] epoch=138, iter=51000/90000, loss=0.6285, lr=0.000024, batch_cost=0.5265, reader_cost=0.03681, ips=1.8995 samples/sec | ETA 05:42:12 2021-04-19 05:06:51 [INFO] [LOSS] loss=0.6285, semantic_loss=0.3353, center_loss=0.1302, offset_loss=0.1630 2021-04-19 05:07:41 [INFO] [TRAIN] epoch=138, iter=51100/90000, loss=0.6083, lr=0.000024, batch_cost=0.4924, reader_cost=0.00094, ips=2.0310 samples/sec | ETA 05:19:12 2021-04-19 05:07:41 [INFO] [LOSS] loss=0.6083, semantic_loss=0.3106, center_loss=0.1460, offset_loss=0.1517 2021-04-19 05:08:30 [INFO] [TRAIN] epoch=138, iter=51200/90000, loss=0.5504, lr=0.000023, batch_cost=0.4963, reader_cost=0.00087, ips=2.0150 samples/sec | ETA 05:20:55 2021-04-19 05:08:30 [INFO] [LOSS] loss=0.5504, semantic_loss=0.2899, center_loss=0.1186, offset_loss=0.1419 2021-04-19 05:09:20 [INFO] [TRAIN] epoch=138, iter=51300/90000, loss=0.6953, lr=0.000023, batch_cost=0.4953, reader_cost=0.00103, ips=2.0192 samples/sec | ETA 05:19:26 2021-04-19 05:09:20 [INFO] [LOSS] loss=0.6953, semantic_loss=0.3209, center_loss=0.1268, offset_loss=0.2475 2021-04-19 05:10:13 [INFO] [TRAIN] epoch=139, iter=51400/90000, loss=0.6796, lr=0.000023, batch_cost=0.5247, reader_cost=0.03565, ips=1.9060 samples/sec | ETA 05:37:31 2021-04-19 05:10:13 [INFO] [LOSS] loss=0.6796, semantic_loss=0.3231, center_loss=0.1140, offset_loss=0.2425 2021-04-19 05:11:02 [INFO] [TRAIN] epoch=139, iter=51500/90000, loss=0.6047, lr=0.000023, batch_cost=0.4911, reader_cost=0.00054, ips=2.0362 samples/sec | ETA 05:15:07 2021-04-19 05:11:02 [INFO] [LOSS] loss=0.6047, semantic_loss=0.3173, center_loss=0.1305, offset_loss=0.1569 2021-04-19 05:11:51 [INFO] [TRAIN] epoch=139, iter=51600/90000, loss=0.6820, lr=0.000023, batch_cost=0.4948, reader_cost=0.00079, ips=2.0209 samples/sec | ETA 05:16:41 2021-04-19 05:11:51 [INFO] [LOSS] loss=0.6820, semantic_loss=0.3066, center_loss=0.1777, offset_loss=0.1977 2021-04-19 05:12:41 [INFO] [TRAIN] epoch=139, iter=51700/90000, loss=0.5971, lr=0.000023, batch_cost=0.4976, reader_cost=0.00071, ips=2.0097 samples/sec | ETA 05:17:37 2021-04-19 05:12:41 [INFO] [LOSS] loss=0.5971, semantic_loss=0.3024, center_loss=0.1249, offset_loss=0.1698 2021-04-19 05:13:34 [INFO] [TRAIN] epoch=140, iter=51800/90000, loss=0.6545, lr=0.000023, batch_cost=0.5249, reader_cost=0.03516, ips=1.9053 samples/sec | ETA 05:34:09 2021-04-19 05:13:34 [INFO] [LOSS] loss=0.6545, semantic_loss=0.2713, center_loss=0.1235, offset_loss=0.2598 2021-04-19 05:14:24 [INFO] [TRAIN] epoch=140, iter=51900/90000, loss=0.6362, lr=0.000023, batch_cost=0.4956, reader_cost=0.00074, ips=2.0179 samples/sec | ETA 05:14:40 2021-04-19 05:14:24 [INFO] [LOSS] loss=0.6362, semantic_loss=0.3231, center_loss=0.1315, offset_loss=0.1816 2021-04-19 05:15:13 [INFO] [TRAIN] epoch=140, iter=52000/90000, loss=0.6950, lr=0.000023, batch_cost=0.4936, reader_cost=0.00077, ips=2.0258 samples/sec | ETA 05:12:38 2021-04-19 05:15:13 [INFO] [LOSS] loss=0.6950, semantic_loss=0.3451, center_loss=0.1216, offset_loss=0.2283 2021-04-19 05:16:06 [INFO] [TRAIN] epoch=141, iter=52100/90000, loss=0.5550, lr=0.000023, batch_cost=0.5240, reader_cost=0.03313, ips=1.9085 samples/sec | ETA 05:30:58 2021-04-19 05:16:06 [INFO] [LOSS] loss=0.5550, semantic_loss=0.2973, center_loss=0.1090, offset_loss=0.1487 2021-04-19 05:16:55 [INFO] [TRAIN] epoch=141, iter=52200/90000, loss=0.5498, lr=0.000023, batch_cost=0.4915, reader_cost=0.00107, ips=2.0344 samples/sec | ETA 05:09:40 2021-04-19 05:16:55 [INFO] [LOSS] loss=0.5498, semantic_loss=0.2833, center_loss=0.1167, offset_loss=0.1498 2021-04-19 05:17:45 [INFO] [TRAIN] epoch=141, iter=52300/90000, loss=0.5804, lr=0.000023, batch_cost=0.4967, reader_cost=0.00094, ips=2.0134 samples/sec | ETA 05:12:04 2021-04-19 05:17:45 [INFO] [LOSS] loss=0.5804, semantic_loss=0.3050, center_loss=0.1440, offset_loss=0.1314 2021-04-19 05:18:35 [INFO] [TRAIN] epoch=141, iter=52400/90000, loss=0.5634, lr=0.000023, batch_cost=0.4986, reader_cost=0.00079, ips=2.0056 samples/sec | ETA 05:12:27 2021-04-19 05:18:35 [INFO] [LOSS] loss=0.5634, semantic_loss=0.3184, center_loss=0.1179, offset_loss=0.1272 2021-04-19 05:19:27 [INFO] [TRAIN] epoch=142, iter=52500/90000, loss=0.5860, lr=0.000023, batch_cost=0.5243, reader_cost=0.03830, ips=1.9074 samples/sec | ETA 05:27:40 2021-04-19 05:19:27 [INFO] [LOSS] loss=0.5860, semantic_loss=0.3154, center_loss=0.1238, offset_loss=0.1467 2021-04-19 05:20:17 [INFO] [TRAIN] epoch=142, iter=52600/90000, loss=0.5878, lr=0.000023, batch_cost=0.4936, reader_cost=0.00112, ips=2.0257 samples/sec | ETA 05:07:42 2021-04-19 05:20:17 [INFO] [LOSS] loss=0.5878, semantic_loss=0.3000, center_loss=0.1427, offset_loss=0.1450 2021-04-19 05:21:07 [INFO] [TRAIN] epoch=142, iter=52700/90000, loss=0.5501, lr=0.000023, batch_cost=0.4966, reader_cost=0.00036, ips=2.0136 samples/sec | ETA 05:08:44 2021-04-19 05:21:07 [INFO] [LOSS] loss=0.5501, semantic_loss=0.2905, center_loss=0.1163, offset_loss=0.1432 2021-04-19 05:21:57 [INFO] [TRAIN] epoch=142, iter=52800/90000, loss=0.6026, lr=0.000023, batch_cost=0.4983, reader_cost=0.00076, ips=2.0069 samples/sec | ETA 05:08:56 2021-04-19 05:21:57 [INFO] [LOSS] loss=0.6026, semantic_loss=0.3117, center_loss=0.1189, offset_loss=0.1720 2021-04-19 05:22:49 [INFO] [TRAIN] epoch=143, iter=52900/90000, loss=0.6441, lr=0.000023, batch_cost=0.5186, reader_cost=0.03195, ips=1.9282 samples/sec | ETA 05:20:40 2021-04-19 05:22:49 [INFO] [LOSS] loss=0.6441, semantic_loss=0.2864, center_loss=0.1321, offset_loss=0.2256 2021-04-19 05:23:38 [INFO] [TRAIN] epoch=143, iter=53000/90000, loss=0.5500, lr=0.000022, batch_cost=0.4932, reader_cost=0.00102, ips=2.0274 samples/sec | ETA 05:04:09 2021-04-19 05:23:38 [INFO] [LOSS] loss=0.5500, semantic_loss=0.2955, center_loss=0.1155, offset_loss=0.1390 2021-04-19 05:24:28 [INFO] [TRAIN] epoch=143, iter=53100/90000, loss=0.9407, lr=0.000022, batch_cost=0.4963, reader_cost=0.00095, ips=2.0149 samples/sec | ETA 05:05:14 2021-04-19 05:24:28 [INFO] [LOSS] loss=0.9407, semantic_loss=0.3033, center_loss=0.1092, offset_loss=0.5282 2021-04-19 05:25:20 [INFO] [TRAIN] epoch=144, iter=53200/90000, loss=0.6360, lr=0.000022, batch_cost=0.5235, reader_cost=0.03243, ips=1.9101 samples/sec | ETA 05:21:05 2021-04-19 05:25:20 [INFO] [LOSS] loss=0.6360, semantic_loss=0.3229, center_loss=0.1227, offset_loss=0.1904 2021-04-19 05:26:10 [INFO] [TRAIN] epoch=144, iter=53300/90000, loss=0.5323, lr=0.000022, batch_cost=0.4922, reader_cost=0.00091, ips=2.0317 samples/sec | ETA 05:01:03 2021-04-19 05:26:10 [INFO] [LOSS] loss=0.5323, semantic_loss=0.2805, center_loss=0.1253, offset_loss=0.1264 2021-04-19 05:26:59 [INFO] [TRAIN] epoch=144, iter=53400/90000, loss=0.6350, lr=0.000022, batch_cost=0.4961, reader_cost=0.00053, ips=2.0157 samples/sec | ETA 05:02:37 2021-04-19 05:26:59 [INFO] [LOSS] loss=0.6350, semantic_loss=0.3128, center_loss=0.1019, offset_loss=0.2203 2021-04-19 05:27:49 [INFO] [TRAIN] epoch=144, iter=53500/90000, loss=0.7677, lr=0.000022, batch_cost=0.4958, reader_cost=0.00120, ips=2.0170 samples/sec | ETA 05:01:35 2021-04-19 05:27:49 [INFO] [LOSS] loss=0.7677, semantic_loss=0.2877, center_loss=0.1178, offset_loss=0.3621 2021-04-19 05:28:42 [INFO] [TRAIN] epoch=145, iter=53600/90000, loss=0.5995, lr=0.000022, batch_cost=0.5287, reader_cost=0.03413, ips=1.8916 samples/sec | ETA 05:20:43 2021-04-19 05:28:42 [INFO] [LOSS] loss=0.5995, semantic_loss=0.3348, center_loss=0.1311, offset_loss=0.1336 2021-04-19 05:29:32 [INFO] [TRAIN] epoch=145, iter=53700/90000, loss=0.5828, lr=0.000022, batch_cost=0.4954, reader_cost=0.00143, ips=2.0187 samples/sec | ETA 04:59:41 2021-04-19 05:29:32 [INFO] [LOSS] loss=0.5828, semantic_loss=0.2913, center_loss=0.1455, offset_loss=0.1460 2021-04-19 05:30:21 [INFO] [TRAIN] epoch=145, iter=53800/90000, loss=0.5805, lr=0.000022, batch_cost=0.4931, reader_cost=0.00048, ips=2.0282 samples/sec | ETA 04:57:28 2021-04-19 05:30:21 [INFO] [LOSS] loss=0.5805, semantic_loss=0.3014, center_loss=0.1237, offset_loss=0.1554 2021-04-19 05:31:11 [INFO] [TRAIN] epoch=145, iter=53900/90000, loss=0.6311, lr=0.000022, batch_cost=0.4970, reader_cost=0.00035, ips=2.0122 samples/sec | ETA 04:59:00 2021-04-19 05:31:11 [INFO] [LOSS] loss=0.6311, semantic_loss=0.3340, center_loss=0.1186, offset_loss=0.1785 2021-04-19 05:32:04 [INFO] [TRAIN] epoch=146, iter=54000/90000, loss=0.6591, lr=0.000022, batch_cost=0.5274, reader_cost=0.04272, ips=1.8961 samples/sec | ETA 05:16:26 2021-04-19 05:32:04 [INFO] [LOSS] loss=0.6591, semantic_loss=0.3444, center_loss=0.1166, offset_loss=0.1981 2021-04-19 05:32:53 [INFO] [TRAIN] epoch=146, iter=54100/90000, loss=0.6074, lr=0.000022, batch_cost=0.4926, reader_cost=0.00126, ips=2.0301 samples/sec | ETA 04:54:44 2021-04-19 05:32:53 [INFO] [LOSS] loss=0.6074, semantic_loss=0.3085, center_loss=0.1210, offset_loss=0.1779 2021-04-19 05:33:43 [INFO] [TRAIN] epoch=146, iter=54200/90000, loss=0.6262, lr=0.000022, batch_cost=0.4962, reader_cost=0.00075, ips=2.0155 samples/sec | ETA 04:56:02 2021-04-19 05:33:43 [INFO] [LOSS] loss=0.6262, semantic_loss=0.2880, center_loss=0.1468, offset_loss=0.1915 2021-04-19 05:34:33 [INFO] [TRAIN] epoch=146, iter=54300/90000, loss=0.6531, lr=0.000022, batch_cost=0.4949, reader_cost=0.00056, ips=2.0207 samples/sec | ETA 04:54:27 2021-04-19 05:34:33 [INFO] [LOSS] loss=0.6531, semantic_loss=0.3327, center_loss=0.1106, offset_loss=0.2098 2021-04-19 05:35:25 [INFO] [TRAIN] epoch=147, iter=54400/90000, loss=0.5828, lr=0.000022, batch_cost=0.5232, reader_cost=0.02993, ips=1.9114 samples/sec | ETA 05:10:24 2021-04-19 05:35:25 [INFO] [LOSS] loss=0.5828, semantic_loss=0.2889, center_loss=0.1229, offset_loss=0.1709 2021-04-19 05:36:15 [INFO] [TRAIN] epoch=147, iter=54500/90000, loss=0.5281, lr=0.000022, batch_cost=0.4950, reader_cost=0.00057, ips=2.0202 samples/sec | ETA 04:52:52 2021-04-19 05:36:15 [INFO] [LOSS] loss=0.5281, semantic_loss=0.2917, center_loss=0.1040, offset_loss=0.1324 2021-04-19 05:37:04 [INFO] [TRAIN] epoch=147, iter=54600/90000, loss=0.6197, lr=0.000022, batch_cost=0.4956, reader_cost=0.00068, ips=2.0179 samples/sec | ETA 04:52:23 2021-04-19 05:37:04 [INFO] [LOSS] loss=0.6197, semantic_loss=0.2967, center_loss=0.1121, offset_loss=0.2108 2021-04-19 05:37:58 [INFO] [TRAIN] epoch=148, iter=54700/90000, loss=0.5766, lr=0.000022, batch_cost=0.5339, reader_cost=0.03547, ips=1.8730 samples/sec | ETA 05:14:07 2021-04-19 05:37:58 [INFO] [LOSS] loss=0.5766, semantic_loss=0.2944, center_loss=0.1116, offset_loss=0.1706 2021-04-19 05:38:47 [INFO] [TRAIN] epoch=148, iter=54800/90000, loss=0.6090, lr=0.000021, batch_cost=0.4924, reader_cost=0.00089, ips=2.0310 samples/sec | ETA 04:48:51 2021-04-19 05:38:47 [INFO] [LOSS] loss=0.6090, semantic_loss=0.2833, center_loss=0.1288, offset_loss=0.1969 2021-04-19 05:39:37 [INFO] [TRAIN] epoch=148, iter=54900/90000, loss=0.5640, lr=0.000021, batch_cost=0.4932, reader_cost=0.00129, ips=2.0275 samples/sec | ETA 04:48:31 2021-04-19 05:39:37 [INFO] [LOSS] loss=0.5640, semantic_loss=0.2768, center_loss=0.1340, offset_loss=0.1532 2021-04-19 05:40:26 [INFO] [TRAIN] epoch=148, iter=55000/90000, loss=1.2068, lr=0.000021, batch_cost=0.4951, reader_cost=0.00088, ips=2.0198 samples/sec | ETA 04:48:48 2021-04-19 05:40:26 [INFO] [LOSS] loss=1.2068, semantic_loss=0.3010, center_loss=0.1278, offset_loss=0.7779 2021-04-19 05:41:26 [INFO] [TRAIN] epoch=149, iter=55100/90000, loss=0.5807, lr=0.000021, batch_cost=0.5248, reader_cost=0.03739, ips=1.9055 samples/sec | ETA 05:05:15 2021-04-19 05:41:26 [INFO] [LOSS] loss=0.5807, semantic_loss=0.3211, center_loss=0.1140, offset_loss=0.1456 2021-04-19 05:42:16 [INFO] [TRAIN] epoch=149, iter=55200/90000, loss=0.5549, lr=0.000021, batch_cost=0.4953, reader_cost=0.00120, ips=2.0188 samples/sec | ETA 04:47:17 2021-04-19 05:42:16 [INFO] [LOSS] loss=0.5549, semantic_loss=0.3085, center_loss=0.1241, offset_loss=0.1222 2021-04-19 05:43:06 [INFO] [TRAIN] epoch=149, iter=55300/90000, loss=0.7845, lr=0.000021, batch_cost=0.4938, reader_cost=0.00088, ips=2.0253 samples/sec | ETA 04:45:33 2021-04-19 05:43:06 [INFO] [LOSS] loss=0.7845, semantic_loss=0.2952, center_loss=0.1321, offset_loss=0.3571 2021-04-19 05:43:56 [INFO] [TRAIN] epoch=149, iter=55400/90000, loss=0.5567, lr=0.000021, batch_cost=0.4969, reader_cost=0.00090, ips=2.0127 samples/sec | ETA 04:46:31 2021-04-19 05:43:56 [INFO] [LOSS] loss=0.5567, semantic_loss=0.3035, center_loss=0.1269, offset_loss=0.1263 2021-04-19 05:44:48 [INFO] [TRAIN] epoch=150, iter=55500/90000, loss=0.5961, lr=0.000021, batch_cost=0.5272, reader_cost=0.04043, ips=1.8969 samples/sec | ETA 05:03:07 2021-04-19 05:44:48 [INFO] [LOSS] loss=0.5961, semantic_loss=0.3085, center_loss=0.1323, offset_loss=0.1553 2021-04-19 05:45:37 [INFO] [TRAIN] epoch=150, iter=55600/90000, loss=0.5412, lr=0.000021, batch_cost=0.4893, reader_cost=0.00052, ips=2.0437 samples/sec | ETA 04:40:32 2021-04-19 05:45:37 [INFO] [LOSS] loss=0.5412, semantic_loss=0.2872, center_loss=0.1123, offset_loss=0.1417 2021-04-19 05:46:27 [INFO] [TRAIN] epoch=150, iter=55700/90000, loss=0.5451, lr=0.000021, batch_cost=0.4938, reader_cost=0.00118, ips=2.0253 samples/sec | ETA 04:42:15 2021-04-19 05:46:27 [INFO] [LOSS] loss=0.5451, semantic_loss=0.2907, center_loss=0.1118, offset_loss=0.1426 2021-04-19 05:47:16 [INFO] [TRAIN] epoch=150, iter=55800/90000, loss=0.7742, lr=0.000021, batch_cost=0.4893, reader_cost=0.00076, ips=2.0439 samples/sec | ETA 04:38:53 2021-04-19 05:47:16 [INFO] [LOSS] loss=0.7742, semantic_loss=0.3276, center_loss=0.1066, offset_loss=0.3399 2021-04-19 05:48:10 [INFO] [TRAIN] epoch=151, iter=55900/90000, loss=0.6530, lr=0.000021, batch_cost=0.5365, reader_cost=0.03369, ips=1.8640 samples/sec | ETA 05:04:54 2021-04-19 05:48:10 [INFO] [LOSS] loss=0.6530, semantic_loss=0.3058, center_loss=0.1248, offset_loss=0.2224 2021-04-19 05:48:59 [INFO] [TRAIN] epoch=151, iter=56000/90000, loss=0.5681, lr=0.000021, batch_cost=0.4946, reader_cost=0.00142, ips=2.0220 samples/sec | ETA 04:40:15 2021-04-19 05:48:59 [INFO] [LOSS] loss=0.5681, semantic_loss=0.2794, center_loss=0.1186, offset_loss=0.1701 2021-04-19 05:49:49 [INFO] [TRAIN] epoch=151, iter=56100/90000, loss=0.5940, lr=0.000021, batch_cost=0.4971, reader_cost=0.00088, ips=2.0117 samples/sec | ETA 04:40:51 2021-04-19 05:49:49 [INFO] [LOSS] loss=0.5940, semantic_loss=0.2762, center_loss=0.1208, offset_loss=0.1970 2021-04-19 05:50:42 [INFO] [TRAIN] epoch=152, iter=56200/90000, loss=0.8618, lr=0.000021, batch_cost=0.5282, reader_cost=0.03445, ips=1.8932 samples/sec | ETA 04:57:33 2021-04-19 05:50:42 [INFO] [LOSS] loss=0.8618, semantic_loss=0.3229, center_loss=0.1225, offset_loss=0.4163 2021-04-19 05:51:31 [INFO] [TRAIN] epoch=152, iter=56300/90000, loss=0.5647, lr=0.000021, batch_cost=0.4908, reader_cost=0.00118, ips=2.0374 samples/sec | ETA 04:35:40 2021-04-19 05:51:31 [INFO] [LOSS] loss=0.5647, semantic_loss=0.3074, center_loss=0.1233, offset_loss=0.1340 2021-04-19 05:52:21 [INFO] [TRAIN] epoch=152, iter=56400/90000, loss=0.4914, lr=0.000021, batch_cost=0.4949, reader_cost=0.00117, ips=2.0207 samples/sec | ETA 04:37:07 2021-04-19 05:52:21 [INFO] [LOSS] loss=0.4914, semantic_loss=0.2642, center_loss=0.1196, offset_loss=0.1077 2021-04-19 05:53:11 [INFO] [TRAIN] epoch=152, iter=56500/90000, loss=0.5891, lr=0.000021, batch_cost=0.4961, reader_cost=0.00064, ips=2.0155 samples/sec | ETA 04:37:00 2021-04-19 05:53:11 [INFO] [LOSS] loss=0.5891, semantic_loss=0.2919, center_loss=0.1312, offset_loss=0.1660 2021-04-19 05:54:03 [INFO] [TRAIN] epoch=153, iter=56600/90000, loss=0.5965, lr=0.000020, batch_cost=0.5261, reader_cost=0.03825, ips=1.9006 samples/sec | ETA 04:52:52 2021-04-19 05:54:03 [INFO] [LOSS] loss=0.5965, semantic_loss=0.3434, center_loss=0.1149, offset_loss=0.1382 2021-04-19 05:54:53 [INFO] [TRAIN] epoch=153, iter=56700/90000, loss=0.5638, lr=0.000020, batch_cost=0.4933, reader_cost=0.00079, ips=2.0270 samples/sec | ETA 04:33:48 2021-04-19 05:54:53 [INFO] [LOSS] loss=0.5638, semantic_loss=0.2993, center_loss=0.1242, offset_loss=0.1403 2021-04-19 05:55:43 [INFO] [TRAIN] epoch=153, iter=56800/90000, loss=0.5743, lr=0.000020, batch_cost=0.4943, reader_cost=0.00062, ips=2.0230 samples/sec | ETA 04:33:31 2021-04-19 05:55:43 [INFO] [LOSS] loss=0.5743, semantic_loss=0.2907, center_loss=0.1237, offset_loss=0.1599 2021-04-19 05:56:32 [INFO] [TRAIN] epoch=153, iter=56900/90000, loss=0.8697, lr=0.000020, batch_cost=0.4976, reader_cost=0.00082, ips=2.0097 samples/sec | ETA 04:34:29 2021-04-19 05:56:32 [INFO] [LOSS] loss=0.8697, semantic_loss=0.3119, center_loss=0.1298, offset_loss=0.4279 2021-04-19 05:57:25 [INFO] [TRAIN] epoch=154, iter=57000/90000, loss=0.5466, lr=0.000020, batch_cost=0.5252, reader_cost=0.03411, ips=1.9041 samples/sec | ETA 04:48:50 2021-04-19 05:57:25 [INFO] [LOSS] loss=0.5466, semantic_loss=0.2730, center_loss=0.1084, offset_loss=0.1652 2021-04-19 05:58:14 [INFO] [TRAIN] epoch=154, iter=57100/90000, loss=0.5881, lr=0.000020, batch_cost=0.4921, reader_cost=0.00063, ips=2.0321 samples/sec | ETA 04:29:50 2021-04-19 05:58:14 [INFO] [LOSS] loss=0.5881, semantic_loss=0.3025, center_loss=0.1401, offset_loss=0.1455 2021-04-19 05:59:04 [INFO] [TRAIN] epoch=154, iter=57200/90000, loss=0.5561, lr=0.000020, batch_cost=0.4967, reader_cost=0.00084, ips=2.0134 samples/sec | ETA 04:31:30 2021-04-19 05:59:04 [INFO] [LOSS] loss=0.5561, semantic_loss=0.3040, center_loss=0.1152, offset_loss=0.1370 2021-04-19 05:59:57 [INFO] [TRAIN] epoch=155, iter=57300/90000, loss=0.6644, lr=0.000020, batch_cost=0.5230, reader_cost=0.03314, ips=1.9119 samples/sec | ETA 04:45:03 2021-04-19 05:59:57 [INFO] [LOSS] loss=0.6644, semantic_loss=0.2985, center_loss=0.1214, offset_loss=0.2445 2021-04-19 06:00:46 [INFO] [TRAIN] epoch=155, iter=57400/90000, loss=0.6096, lr=0.000020, batch_cost=0.4948, reader_cost=0.00055, ips=2.0208 samples/sec | ETA 04:28:52 2021-04-19 06:00:46 [INFO] [LOSS] loss=0.6096, semantic_loss=0.3055, center_loss=0.1305, offset_loss=0.1737 2021-04-19 06:01:36 [INFO] [TRAIN] epoch=155, iter=57500/90000, loss=0.5219, lr=0.000020, batch_cost=0.4940, reader_cost=0.00066, ips=2.0243 samples/sec | ETA 04:27:34 2021-04-19 06:01:36 [INFO] [LOSS] loss=0.5219, semantic_loss=0.2849, center_loss=0.1036, offset_loss=0.1333 2021-04-19 06:02:26 [INFO] [TRAIN] epoch=155, iter=57600/90000, loss=0.7011, lr=0.000020, batch_cost=0.4959, reader_cost=0.00089, ips=2.0164 samples/sec | ETA 04:27:48 2021-04-19 06:02:26 [INFO] [LOSS] loss=0.7011, semantic_loss=0.2887, center_loss=0.1189, offset_loss=0.2935 2021-04-19 06:03:18 [INFO] [TRAIN] epoch=156, iter=57700/90000, loss=0.5427, lr=0.000020, batch_cost=0.5254, reader_cost=0.03820, ips=1.9034 samples/sec | ETA 04:42:49 2021-04-19 06:03:18 [INFO] [LOSS] loss=0.5427, semantic_loss=0.3122, center_loss=0.1143, offset_loss=0.1163 2021-04-19 06:04:08 [INFO] [TRAIN] epoch=156, iter=57800/90000, loss=0.5658, lr=0.000020, batch_cost=0.4929, reader_cost=0.00110, ips=2.0286 samples/sec | ETA 04:24:32 2021-04-19 06:04:08 [INFO] [LOSS] loss=0.5658, semantic_loss=0.2705, center_loss=0.1494, offset_loss=0.1459 2021-04-19 06:04:57 [INFO] [TRAIN] epoch=156, iter=57900/90000, loss=0.6461, lr=0.000020, batch_cost=0.4911, reader_cost=0.00099, ips=2.0364 samples/sec | ETA 04:22:42 2021-04-19 06:04:57 [INFO] [LOSS] loss=0.6461, semantic_loss=0.3370, center_loss=0.1002, offset_loss=0.2089 2021-04-19 06:05:46 [INFO] [TRAIN] epoch=156, iter=58000/90000, loss=0.5266, lr=0.000020, batch_cost=0.4947, reader_cost=0.00050, ips=2.0215 samples/sec | ETA 04:23:49 2021-04-19 06:05:46 [INFO] [LOSS] loss=0.5266, semantic_loss=0.2922, center_loss=0.1161, offset_loss=0.1183 2021-04-19 06:06:39 [INFO] [TRAIN] epoch=157, iter=58100/90000, loss=0.6216, lr=0.000020, batch_cost=0.5254, reader_cost=0.03897, ips=1.9034 samples/sec | ETA 04:39:19 2021-04-19 06:06:39 [INFO] [LOSS] loss=0.6216, semantic_loss=0.3198, center_loss=0.0993, offset_loss=0.2025 2021-04-19 06:07:29 [INFO] [TRAIN] epoch=157, iter=58200/90000, loss=0.5780, lr=0.000020, batch_cost=0.4951, reader_cost=0.00089, ips=2.0196 samples/sec | ETA 04:22:25 2021-04-19 06:07:29 [INFO] [LOSS] loss=0.5780, semantic_loss=0.3016, center_loss=0.1343, offset_loss=0.1421 2021-04-19 06:08:18 [INFO] [TRAIN] epoch=157, iter=58300/90000, loss=0.5503, lr=0.000020, batch_cost=0.4950, reader_cost=0.00061, ips=2.0203 samples/sec | ETA 04:21:30 2021-04-19 06:08:18 [INFO] [LOSS] loss=0.5503, semantic_loss=0.2836, center_loss=0.1221, offset_loss=0.1446 2021-04-19 06:09:08 [INFO] [TRAIN] epoch=157, iter=58400/90000, loss=0.5630, lr=0.000019, batch_cost=0.4947, reader_cost=0.00065, ips=2.0213 samples/sec | ETA 04:20:33 2021-04-19 06:09:08 [INFO] [LOSS] loss=0.5630, semantic_loss=0.2809, center_loss=0.1196, offset_loss=0.1624 2021-04-19 06:10:01 [INFO] [TRAIN] epoch=158, iter=58500/90000, loss=0.5393, lr=0.000019, batch_cost=0.5289, reader_cost=0.03699, ips=1.8908 samples/sec | ETA 04:37:39 2021-04-19 06:10:01 [INFO] [LOSS] loss=0.5393, semantic_loss=0.2795, center_loss=0.1263, offset_loss=0.1334 2021-04-19 06:10:50 [INFO] [TRAIN] epoch=158, iter=58600/90000, loss=0.6479, lr=0.000019, batch_cost=0.4920, reader_cost=0.00063, ips=2.0326 samples/sec | ETA 04:17:27 2021-04-19 06:10:50 [INFO] [LOSS] loss=0.6479, semantic_loss=0.2793, center_loss=0.1162, offset_loss=0.2524 2021-04-19 06:11:40 [INFO] [TRAIN] epoch=158, iter=58700/90000, loss=0.5548, lr=0.000019, batch_cost=0.4954, reader_cost=0.00069, ips=2.0185 samples/sec | ETA 04:18:26 2021-04-19 06:11:40 [INFO] [LOSS] loss=0.5548, semantic_loss=0.3107, center_loss=0.1080, offset_loss=0.1361 2021-04-19 06:12:33 [INFO] [TRAIN] epoch=159, iter=58800/90000, loss=0.5900, lr=0.000019, batch_cost=0.5241, reader_cost=0.03479, ips=1.9081 samples/sec | ETA 04:32:31 2021-04-19 06:12:33 [INFO] [LOSS] loss=0.5900, semantic_loss=0.2900, center_loss=0.1190, offset_loss=0.1809 2021-04-19 06:13:22 [INFO] [TRAIN] epoch=159, iter=58900/90000, loss=0.5711, lr=0.000019, batch_cost=0.4933, reader_cost=0.00100, ips=2.0274 samples/sec | ETA 04:15:40 2021-04-19 06:13:22 [INFO] [LOSS] loss=0.5711, semantic_loss=0.2853, center_loss=0.1415, offset_loss=0.1443 2021-04-19 06:14:12 [INFO] [TRAIN] epoch=159, iter=59000/90000, loss=0.5987, lr=0.000019, batch_cost=0.4941, reader_cost=0.00084, ips=2.0240 samples/sec | ETA 04:15:16 2021-04-19 06:14:12 [INFO] [LOSS] loss=0.5987, semantic_loss=0.2862, center_loss=0.1053, offset_loss=0.2071 2021-04-19 06:15:01 [INFO] [TRAIN] epoch=159, iter=59100/90000, loss=0.6311, lr=0.000019, batch_cost=0.4949, reader_cost=0.00092, ips=2.0207 samples/sec | ETA 04:14:51 2021-04-19 06:15:01 [INFO] [LOSS] loss=0.6311, semantic_loss=0.3127, center_loss=0.1295, offset_loss=0.1890 2021-04-19 06:15:54 [INFO] [TRAIN] epoch=160, iter=59200/90000, loss=0.5227, lr=0.000019, batch_cost=0.5245, reader_cost=0.03097, ips=1.9067 samples/sec | ETA 04:29:13 2021-04-19 06:15:54 [INFO] [LOSS] loss=0.5227, semantic_loss=0.3015, center_loss=0.1033, offset_loss=0.1178 2021-04-19 06:16:43 [INFO] [TRAIN] epoch=160, iter=59300/90000, loss=0.6288, lr=0.000019, batch_cost=0.4955, reader_cost=0.00056, ips=2.0180 samples/sec | ETA 04:13:33 2021-04-19 06:16:43 [INFO] [LOSS] loss=0.6288, semantic_loss=0.2807, center_loss=0.1366, offset_loss=0.2116 2021-04-19 06:17:33 [INFO] [TRAIN] epoch=160, iter=59400/90000, loss=0.5414, lr=0.000019, batch_cost=0.4933, reader_cost=0.00066, ips=2.0272 samples/sec | ETA 04:11:35 2021-04-19 06:17:33 [INFO] [LOSS] loss=0.5414, semantic_loss=0.2701, center_loss=0.1375, offset_loss=0.1338 2021-04-19 06:18:23 [INFO] [TRAIN] epoch=160, iter=59500/90000, loss=0.6195, lr=0.000019, batch_cost=0.4989, reader_cost=0.00062, ips=2.0045 samples/sec | ETA 04:13:35 2021-04-19 06:18:23 [INFO] [LOSS] loss=0.6195, semantic_loss=0.3184, center_loss=0.1063, offset_loss=0.1949 2021-04-19 06:19:15 [INFO] [TRAIN] epoch=161, iter=59600/90000, loss=0.5954, lr=0.000019, batch_cost=0.5253, reader_cost=0.03756, ips=1.9036 samples/sec | ETA 04:26:09 2021-04-19 06:19:15 [INFO] [LOSS] loss=0.5954, semantic_loss=0.3017, center_loss=0.1205, offset_loss=0.1732 2021-04-19 06:20:05 [INFO] [TRAIN] epoch=161, iter=59700/90000, loss=0.5391, lr=0.000019, batch_cost=0.4931, reader_cost=0.00093, ips=2.0278 samples/sec | ETA 04:09:02 2021-04-19 06:20:05 [INFO] [LOSS] loss=0.5391, semantic_loss=0.2927, center_loss=0.1289, offset_loss=0.1175 2021-04-19 06:20:55 [INFO] [TRAIN] epoch=161, iter=59800/90000, loss=0.5878, lr=0.000019, batch_cost=0.4963, reader_cost=0.00094, ips=2.0147 samples/sec | ETA 04:09:49 2021-04-19 06:20:55 [INFO] [LOSS] loss=0.5878, semantic_loss=0.2861, center_loss=0.1165, offset_loss=0.1851 2021-04-19 06:21:47 [INFO] [TRAIN] epoch=162, iter=59900/90000, loss=0.6393, lr=0.000019, batch_cost=0.5242, reader_cost=0.03657, ips=1.9077 samples/sec | ETA 04:22:57 2021-04-19 06:21:47 [INFO] [LOSS] loss=0.6393, semantic_loss=0.2931, center_loss=0.1208, offset_loss=0.2254 2021-04-19 06:22:37 [INFO] [TRAIN] epoch=162, iter=60000/90000, loss=0.5304, lr=0.000019, batch_cost=0.4956, reader_cost=0.00077, ips=2.0178 samples/sec | ETA 04:07:47 2021-04-19 06:22:37 [INFO] [LOSS] loss=0.5304, semantic_loss=0.2805, center_loss=0.1052, offset_loss=0.1447 2021-04-19 06:23:34 [INFO] [TRAIN] epoch=162, iter=60100/90000, loss=0.6094, lr=0.000019, batch_cost=0.4931, reader_cost=0.00053, ips=2.0280 samples/sec | ETA 04:05:43 2021-04-19 06:23:34 [INFO] [LOSS] loss=0.6094, semantic_loss=0.2760, center_loss=0.1192, offset_loss=0.2142 2021-04-19 06:24:24 [INFO] [TRAIN] epoch=162, iter=60200/90000, loss=0.5247, lr=0.000018, batch_cost=0.4971, reader_cost=0.00088, ips=2.0116 samples/sec | ETA 04:06:53 2021-04-19 06:24:24 [INFO] [LOSS] loss=0.5247, semantic_loss=0.2812, center_loss=0.1135, offset_loss=0.1301 2021-04-19 06:25:16 [INFO] [TRAIN] epoch=163, iter=60300/90000, loss=0.5734, lr=0.000018, batch_cost=0.5231, reader_cost=0.02965, ips=1.9116 samples/sec | ETA 04:18:57 2021-04-19 06:25:16 [INFO] [LOSS] loss=0.5734, semantic_loss=0.2763, center_loss=0.1003, offset_loss=0.1968 2021-04-19 06:26:06 [INFO] [TRAIN] epoch=163, iter=60400/90000, loss=0.5913, lr=0.000018, batch_cost=0.4949, reader_cost=0.00056, ips=2.0206 samples/sec | ETA 04:04:08 2021-04-19 06:26:06 [INFO] [LOSS] loss=0.5913, semantic_loss=0.2964, center_loss=0.1293, offset_loss=0.1656 2021-04-19 06:26:55 [INFO] [TRAIN] epoch=163, iter=60500/90000, loss=0.8723, lr=0.000018, batch_cost=0.4946, reader_cost=0.00089, ips=2.0217 samples/sec | ETA 04:03:11 2021-04-19 06:26:55 [INFO] [LOSS] loss=0.8723, semantic_loss=0.2998, center_loss=0.1103, offset_loss=0.4622 2021-04-19 06:27:45 [INFO] [TRAIN] epoch=163, iter=60600/90000, loss=0.5746, lr=0.000018, batch_cost=0.4967, reader_cost=0.00091, ips=2.0132 samples/sec | ETA 04:03:23 2021-04-19 06:27:45 [INFO] [LOSS] loss=0.5746, semantic_loss=0.2843, center_loss=0.1103, offset_loss=0.1801 2021-04-19 06:28:38 [INFO] [TRAIN] epoch=164, iter=60700/90000, loss=0.5922, lr=0.000018, batch_cost=0.5287, reader_cost=0.03130, ips=1.8915 samples/sec | ETA 04:18:10 2021-04-19 06:28:38 [INFO] [LOSS] loss=0.5922, semantic_loss=0.3163, center_loss=0.1144, offset_loss=0.1615 2021-04-19 06:29:27 [INFO] [TRAIN] epoch=164, iter=60800/90000, loss=0.5570, lr=0.000018, batch_cost=0.4918, reader_cost=0.00069, ips=2.0332 samples/sec | ETA 03:59:21 2021-04-19 06:29:27 [INFO] [LOSS] loss=0.5570, semantic_loss=0.3083, center_loss=0.1167, offset_loss=0.1320 2021-04-19 06:30:17 [INFO] [TRAIN] epoch=164, iter=60900/90000, loss=0.5303, lr=0.000018, batch_cost=0.4946, reader_cost=0.00076, ips=2.0218 samples/sec | ETA 03:59:53 2021-04-19 06:30:17 [INFO] [LOSS] loss=0.5303, semantic_loss=0.2816, center_loss=0.1178, offset_loss=0.1309 2021-04-19 06:31:07 [INFO] [TRAIN] epoch=164, iter=61000/90000, loss=0.5513, lr=0.000018, batch_cost=0.4965, reader_cost=0.00108, ips=2.0140 samples/sec | ETA 03:59:59 2021-04-19 06:31:07 [INFO] [LOSS] loss=0.5513, semantic_loss=0.3010, center_loss=0.1296, offset_loss=0.1206 2021-04-19 06:31:59 [INFO] [TRAIN] epoch=165, iter=61100/90000, loss=0.5738, lr=0.000018, batch_cost=0.5249, reader_cost=0.03356, ips=1.9050 samples/sec | ETA 04:12:50 2021-04-19 06:31:59 [INFO] [LOSS] loss=0.5738, semantic_loss=0.2633, center_loss=0.1245, offset_loss=0.1859 2021-04-19 06:32:49 [INFO] [TRAIN] epoch=165, iter=61200/90000, loss=0.5910, lr=0.000018, batch_cost=0.4937, reader_cost=0.00099, ips=2.0256 samples/sec | ETA 03:56:57 2021-04-19 06:32:49 [INFO] [LOSS] loss=0.5910, semantic_loss=0.2839, center_loss=0.1307, offset_loss=0.1763 2021-04-19 06:33:39 [INFO] [TRAIN] epoch=165, iter=61300/90000, loss=0.5833, lr=0.000018, batch_cost=0.4973, reader_cost=0.00023, ips=2.0109 samples/sec | ETA 03:57:51 2021-04-19 06:33:39 [INFO] [LOSS] loss=0.5833, semantic_loss=0.3183, center_loss=0.1154, offset_loss=0.1496 2021-04-19 06:34:31 [INFO] [TRAIN] epoch=166, iter=61400/90000, loss=0.5224, lr=0.000018, batch_cost=0.5278, reader_cost=0.03535, ips=1.8946 samples/sec | ETA 04:11:35 2021-04-19 06:34:31 [INFO] [LOSS] loss=0.5224, semantic_loss=0.2901, center_loss=0.0996, offset_loss=0.1327 2021-04-19 06:35:21 [INFO] [TRAIN] epoch=166, iter=61500/90000, loss=0.6552, lr=0.000018, batch_cost=0.4931, reader_cost=0.00056, ips=2.0279 samples/sec | ETA 03:54:14 2021-04-19 06:35:21 [INFO] [LOSS] loss=0.6552, semantic_loss=0.2675, center_loss=0.1049, offset_loss=0.2829 2021-04-19 06:36:11 [INFO] [TRAIN] epoch=166, iter=61600/90000, loss=0.4860, lr=0.000018, batch_cost=0.4946, reader_cost=0.00111, ips=2.0219 samples/sec | ETA 03:54:06 2021-04-19 06:36:11 [INFO] [LOSS] loss=0.4860, semantic_loss=0.2766, center_loss=0.0951, offset_loss=0.1143 2021-04-19 06:37:01 [INFO] [TRAIN] epoch=166, iter=61700/90000, loss=0.5956, lr=0.000018, batch_cost=0.4996, reader_cost=0.00043, ips=2.0016 samples/sec | ETA 03:55:38 2021-04-19 06:37:01 [INFO] [LOSS] loss=0.5956, semantic_loss=0.2809, center_loss=0.1066, offset_loss=0.2081 2021-04-19 06:37:53 [INFO] [TRAIN] epoch=167, iter=61800/90000, loss=0.5243, lr=0.000018, batch_cost=0.5248, reader_cost=0.03602, ips=1.9054 samples/sec | ETA 04:06:40 2021-04-19 06:37:53 [INFO] [LOSS] loss=0.5243, semantic_loss=0.2845, center_loss=0.0973, offset_loss=0.1425 2021-04-19 06:38:43 [INFO] [TRAIN] epoch=167, iter=61900/90000, loss=0.5138, lr=0.000018, batch_cost=0.4938, reader_cost=0.00082, ips=2.0249 samples/sec | ETA 03:51:17 2021-04-19 06:38:43 [INFO] [LOSS] loss=0.5138, semantic_loss=0.2550, center_loss=0.1188, offset_loss=0.1400 2021-04-19 06:39:32 [INFO] [TRAIN] epoch=167, iter=62000/90000, loss=0.5211, lr=0.000017, batch_cost=0.4960, reader_cost=0.00114, ips=2.0163 samples/sec | ETA 03:51:26 2021-04-19 06:39:32 [INFO] [LOSS] loss=0.5211, semantic_loss=0.2666, center_loss=0.1133, offset_loss=0.1412 2021-04-19 06:40:22 [INFO] [TRAIN] epoch=167, iter=62100/90000, loss=0.5526, lr=0.000017, batch_cost=0.4945, reader_cost=0.00043, ips=2.0220 samples/sec | ETA 03:49:57 2021-04-19 06:40:22 [INFO] [LOSS] loss=0.5526, semantic_loss=0.3144, center_loss=0.1020, offset_loss=0.1363 2021-04-19 06:41:14 [INFO] [TRAIN] epoch=168, iter=62200/90000, loss=0.5868, lr=0.000017, batch_cost=0.5203, reader_cost=0.03282, ips=1.9220 samples/sec | ETA 04:01:04 2021-04-19 06:41:14 [INFO] [LOSS] loss=0.5868, semantic_loss=0.2836, center_loss=0.1527, offset_loss=0.1505 2021-04-19 06:42:04 [INFO] [TRAIN] epoch=168, iter=62300/90000, loss=0.5458, lr=0.000017, batch_cost=0.4940, reader_cost=0.00078, ips=2.0245 samples/sec | ETA 03:48:02 2021-04-19 06:42:04 [INFO] [LOSS] loss=0.5458, semantic_loss=0.2911, center_loss=0.1109, offset_loss=0.1438 2021-04-19 06:42:53 [INFO] [TRAIN] epoch=168, iter=62400/90000, loss=0.6331, lr=0.000017, batch_cost=0.4960, reader_cost=0.00076, ips=2.0163 samples/sec | ETA 03:48:08 2021-04-19 06:42:53 [INFO] [LOSS] loss=0.6331, semantic_loss=0.2856, center_loss=0.1149, offset_loss=0.2326 2021-04-19 06:43:46 [INFO] [TRAIN] epoch=169, iter=62500/90000, loss=0.6465, lr=0.000017, batch_cost=0.5294, reader_cost=0.03582, ips=1.8888 samples/sec | ETA 04:02:39 2021-04-19 06:43:46 [INFO] [LOSS] loss=0.6465, semantic_loss=0.3085, center_loss=0.0968, offset_loss=0.2412 2021-04-19 06:44:36 [INFO] [TRAIN] epoch=169, iter=62600/90000, loss=0.5062, lr=0.000017, batch_cost=0.4902, reader_cost=0.00114, ips=2.0399 samples/sec | ETA 03:43:51 2021-04-19 06:44:36 [INFO] [LOSS] loss=0.5062, semantic_loss=0.2551, center_loss=0.1153, offset_loss=0.1357 2021-04-19 06:45:25 [INFO] [TRAIN] epoch=169, iter=62700/90000, loss=0.5790, lr=0.000017, batch_cost=0.4951, reader_cost=0.00126, ips=2.0198 samples/sec | ETA 03:45:16 2021-04-19 06:45:25 [INFO] [LOSS] loss=0.5790, semantic_loss=0.2946, center_loss=0.1085, offset_loss=0.1759 2021-04-19 06:46:15 [INFO] [TRAIN] epoch=169, iter=62800/90000, loss=0.6296, lr=0.000017, batch_cost=0.4984, reader_cost=0.00115, ips=2.0063 samples/sec | ETA 03:45:57 2021-04-19 06:46:15 [INFO] [LOSS] loss=0.6296, semantic_loss=0.2960, center_loss=0.1211, offset_loss=0.2125 2021-04-19 06:47:08 [INFO] [TRAIN] epoch=170, iter=62900/90000, loss=0.5219, lr=0.000017, batch_cost=0.5256, reader_cost=0.03681, ips=1.9026 samples/sec | ETA 03:57:23 2021-04-19 06:47:08 [INFO] [LOSS] loss=0.5219, semantic_loss=0.2686, center_loss=0.0978, offset_loss=0.1556 2021-04-19 06:47:57 [INFO] [TRAIN] epoch=170, iter=63000/90000, loss=0.5948, lr=0.000017, batch_cost=0.4926, reader_cost=0.00093, ips=2.0302 samples/sec | ETA 03:41:39 2021-04-19 06:47:57 [INFO] [LOSS] loss=0.5948, semantic_loss=0.2972, center_loss=0.0979, offset_loss=0.1997 2021-04-19 06:48:47 [INFO] [TRAIN] epoch=170, iter=63100/90000, loss=0.4622, lr=0.000017, batch_cost=0.4943, reader_cost=0.00105, ips=2.0230 samples/sec | ETA 03:41:37 2021-04-19 06:48:47 [INFO] [LOSS] loss=0.4622, semantic_loss=0.2506, center_loss=0.1054, offset_loss=0.1062 2021-04-19 06:49:36 [INFO] [TRAIN] epoch=170, iter=63200/90000, loss=0.5407, lr=0.000017, batch_cost=0.4935, reader_cost=0.00079, ips=2.0262 samples/sec | ETA 03:40:26 2021-04-19 06:49:36 [INFO] [LOSS] loss=0.5407, semantic_loss=0.2873, center_loss=0.1068, offset_loss=0.1466 2021-04-19 06:50:29 [INFO] [TRAIN] epoch=171, iter=63300/90000, loss=0.6712, lr=0.000017, batch_cost=0.5295, reader_cost=0.03501, ips=1.8885 samples/sec | ETA 03:55:38 2021-04-19 06:50:29 [INFO] [LOSS] loss=0.6712, semantic_loss=0.3168, center_loss=0.1107, offset_loss=0.2438 2021-04-19 06:51:19 [INFO] [TRAIN] epoch=171, iter=63400/90000, loss=0.5647, lr=0.000017, batch_cost=0.4929, reader_cost=0.00086, ips=2.0288 samples/sec | ETA 03:38:31 2021-04-19 06:51:19 [INFO] [LOSS] loss=0.5647, semantic_loss=0.2873, center_loss=0.1177, offset_loss=0.1597 2021-04-19 06:52:08 [INFO] [TRAIN] epoch=171, iter=63500/90000, loss=0.6502, lr=0.000017, batch_cost=0.4945, reader_cost=0.00078, ips=2.0223 samples/sec | ETA 03:38:23 2021-04-19 06:52:08 [INFO] [LOSS] loss=0.6502, semantic_loss=0.2706, center_loss=0.1095, offset_loss=0.2700 2021-04-19 06:52:58 [INFO] [TRAIN] epoch=171, iter=63600/90000, loss=0.6023, lr=0.000017, batch_cost=0.4978, reader_cost=0.00076, ips=2.0087 samples/sec | ETA 03:39:02 2021-04-19 06:52:58 [INFO] [LOSS] loss=0.6023, semantic_loss=0.3091, center_loss=0.1048, offset_loss=0.1884 2021-04-19 06:53:51 [INFO] [TRAIN] epoch=172, iter=63700/90000, loss=0.5975, lr=0.000017, batch_cost=0.5230, reader_cost=0.03370, ips=1.9122 samples/sec | ETA 03:49:13 2021-04-19 06:53:51 [INFO] [LOSS] loss=0.5975, semantic_loss=0.2668, center_loss=0.1108, offset_loss=0.2200 2021-04-19 06:54:41 [INFO] [TRAIN] epoch=172, iter=63800/90000, loss=0.5524, lr=0.000016, batch_cost=0.4961, reader_cost=0.00076, ips=2.0156 samples/sec | ETA 03:36:38 2021-04-19 06:54:41 [INFO] [LOSS] loss=0.5524, semantic_loss=0.2866, center_loss=0.1293, offset_loss=0.1365 2021-04-19 06:55:30 [INFO] [TRAIN] epoch=172, iter=63900/90000, loss=0.6570, lr=0.000016, batch_cost=0.4937, reader_cost=0.00079, ips=2.0256 samples/sec | ETA 03:34:45 2021-04-19 06:55:30 [INFO] [LOSS] loss=0.6570, semantic_loss=0.3002, center_loss=0.1141, offset_loss=0.2427 2021-04-19 06:56:22 [INFO] [TRAIN] epoch=173, iter=64000/90000, loss=0.5841, lr=0.000016, batch_cost=0.5225, reader_cost=0.03442, ips=1.9138 samples/sec | ETA 03:46:25 2021-04-19 06:56:22 [INFO] [LOSS] loss=0.5841, semantic_loss=0.3043, center_loss=0.1153, offset_loss=0.1645 2021-04-19 06:57:12 [INFO] [TRAIN] epoch=173, iter=64100/90000, loss=0.4978, lr=0.000016, batch_cost=0.4922, reader_cost=0.00084, ips=2.0319 samples/sec | ETA 03:32:27 2021-04-19 06:57:12 [INFO] [LOSS] loss=0.4978, semantic_loss=0.2880, center_loss=0.0979, offset_loss=0.1119 2021-04-19 06:58:02 [INFO] [TRAIN] epoch=173, iter=64200/90000, loss=0.5228, lr=0.000016, batch_cost=0.4976, reader_cost=0.00084, ips=2.0098 samples/sec | ETA 03:33:57 2021-04-19 06:58:02 [INFO] [LOSS] loss=0.5228, semantic_loss=0.2911, center_loss=0.1068, offset_loss=0.1249 2021-04-19 06:58:51 [INFO] [TRAIN] epoch=173, iter=64300/90000, loss=0.5632, lr=0.000016, batch_cost=0.4941, reader_cost=0.00093, ips=2.0237 samples/sec | ETA 03:31:39 2021-04-19 06:58:51 [INFO] [LOSS] loss=0.5632, semantic_loss=0.2872, center_loss=0.1211, offset_loss=0.1549 2021-04-19 06:59:44 [INFO] [TRAIN] epoch=174, iter=64400/90000, loss=0.5246, lr=0.000016, batch_cost=0.5231, reader_cost=0.03503, ips=1.9118 samples/sec | ETA 03:43:10 2021-04-19 06:59:44 [INFO] [LOSS] loss=0.5246, semantic_loss=0.2935, center_loss=0.1055, offset_loss=0.1255 2021-04-19 07:00:33 [INFO] [TRAIN] epoch=174, iter=64500/90000, loss=0.5545, lr=0.000016, batch_cost=0.4946, reader_cost=0.00051, ips=2.0218 samples/sec | ETA 03:30:12 2021-04-19 07:00:33 [INFO] [LOSS] loss=0.5545, semantic_loss=0.2662, center_loss=0.1367, offset_loss=0.1515 2021-04-19 07:01:23 [INFO] [TRAIN] epoch=174, iter=64600/90000, loss=0.6085, lr=0.000016, batch_cost=0.4953, reader_cost=0.00077, ips=2.0190 samples/sec | ETA 03:29:40 2021-04-19 07:01:23 [INFO] [LOSS] loss=0.6085, semantic_loss=0.2640, center_loss=0.0935, offset_loss=0.2510 2021-04-19 07:02:13 [INFO] [TRAIN] epoch=174, iter=64700/90000, loss=0.4906, lr=0.000016, batch_cost=0.4968, reader_cost=0.00076, ips=2.0129 samples/sec | ETA 03:29:28 2021-04-19 07:02:13 [INFO] [LOSS] loss=0.4906, semantic_loss=0.2746, center_loss=0.1082, offset_loss=0.1078 2021-04-19 07:03:06 [INFO] [TRAIN] epoch=175, iter=64800/90000, loss=0.5862, lr=0.000016, batch_cost=0.5290, reader_cost=0.03614, ips=1.8904 samples/sec | ETA 03:42:10 2021-04-19 07:03:06 [INFO] [LOSS] loss=0.5862, semantic_loss=0.2983, center_loss=0.1275, offset_loss=0.1604 2021-04-19 07:03:55 [INFO] [TRAIN] epoch=175, iter=64900/90000, loss=0.5411, lr=0.000016, batch_cost=0.4940, reader_cost=0.00128, ips=2.0242 samples/sec | ETA 03:26:40 2021-04-19 07:03:55 [INFO] [LOSS] loss=0.5411, semantic_loss=0.3037, center_loss=0.1090, offset_loss=0.1285 2021-04-19 07:04:45 [INFO] [TRAIN] epoch=175, iter=65000/90000, loss=0.4772, lr=0.000016, batch_cost=0.4973, reader_cost=0.00069, ips=2.0108 samples/sec | ETA 03:27:12 2021-04-19 07:04:45 [INFO] [LOSS] loss=0.4772, semantic_loss=0.2602, center_loss=0.1083, offset_loss=0.1086 2021-04-19 07:05:42 [INFO] [TRAIN] epoch=175, iter=65100/90000, loss=0.6774, lr=0.000016, batch_cost=0.4895, reader_cost=0.00058, ips=2.0429 samples/sec | ETA 03:23:08 2021-04-19 07:05:42 [INFO] [LOSS] loss=0.6774, semantic_loss=0.2820, center_loss=0.1034, offset_loss=0.2920 2021-04-19 07:06:35 [INFO] [TRAIN] epoch=176, iter=65200/90000, loss=0.6457, lr=0.000016, batch_cost=0.5363, reader_cost=0.03821, ips=1.8645 samples/sec | ETA 03:41:41 2021-04-19 07:06:35 [INFO] [LOSS] loss=0.6457, semantic_loss=0.2709, center_loss=0.1275, offset_loss=0.2473 2021-04-19 07:07:25 [INFO] [TRAIN] epoch=176, iter=65300/90000, loss=0.4683, lr=0.000016, batch_cost=0.4924, reader_cost=0.00067, ips=2.0310 samples/sec | ETA 03:22:41 2021-04-19 07:07:25 [INFO] [LOSS] loss=0.4683, semantic_loss=0.2609, center_loss=0.0950, offset_loss=0.1124 2021-04-19 07:08:15 [INFO] [TRAIN] epoch=176, iter=65400/90000, loss=0.5417, lr=0.000016, batch_cost=0.5006, reader_cost=0.00118, ips=1.9977 samples/sec | ETA 03:25:13 2021-04-19 07:08:15 [INFO] [LOSS] loss=0.5417, semantic_loss=0.2914, center_loss=0.1193, offset_loss=0.1311 2021-04-19 07:09:07 [INFO] [TRAIN] epoch=177, iter=65500/90000, loss=0.5580, lr=0.000016, batch_cost=0.5244, reader_cost=0.03493, ips=1.9071 samples/sec | ETA 03:34:06 2021-04-19 07:09:07 [INFO] [LOSS] loss=0.5580, semantic_loss=0.2876, center_loss=0.0996, offset_loss=0.1707 2021-04-19 07:09:57 [INFO] [TRAIN] epoch=177, iter=65600/90000, loss=0.5261, lr=0.000015, batch_cost=0.4932, reader_cost=0.00075, ips=2.0276 samples/sec | ETA 03:20:33 2021-04-19 07:09:57 [INFO] [LOSS] loss=0.5261, semantic_loss=0.2848, center_loss=0.1032, offset_loss=0.1380 2021-04-19 07:10:46 [INFO] [TRAIN] epoch=177, iter=65700/90000, loss=0.4871, lr=0.000015, batch_cost=0.4939, reader_cost=0.00073, ips=2.0249 samples/sec | ETA 03:20:00 2021-04-19 07:10:46 [INFO] [LOSS] loss=0.4871, semantic_loss=0.2460, center_loss=0.0944, offset_loss=0.1468 2021-04-19 07:11:36 [INFO] [TRAIN] epoch=177, iter=65800/90000, loss=0.5636, lr=0.000015, batch_cost=0.4978, reader_cost=0.00121, ips=2.0087 samples/sec | ETA 03:20:47 2021-04-19 07:11:36 [INFO] [LOSS] loss=0.5636, semantic_loss=0.2866, center_loss=0.1057, offset_loss=0.1713 2021-04-19 07:12:29 [INFO] [TRAIN] epoch=178, iter=65900/90000, loss=0.6047, lr=0.000015, batch_cost=0.5248, reader_cost=0.03133, ips=1.9054 samples/sec | ETA 03:30:48 2021-04-19 07:12:29 [INFO] [LOSS] loss=0.6047, semantic_loss=0.3007, center_loss=0.1160, offset_loss=0.1880 2021-04-19 07:13:19 [INFO] [TRAIN] epoch=178, iter=66000/90000, loss=0.5235, lr=0.000015, batch_cost=0.4937, reader_cost=0.00044, ips=2.0256 samples/sec | ETA 03:17:28 2021-04-19 07:13:19 [INFO] [LOSS] loss=0.5235, semantic_loss=0.2850, center_loss=0.1147, offset_loss=0.1239 2021-04-19 07:14:08 [INFO] [TRAIN] epoch=178, iter=66100/90000, loss=0.5094, lr=0.000015, batch_cost=0.4901, reader_cost=0.00095, ips=2.0402 samples/sec | ETA 03:15:14 2021-04-19 07:14:08 [INFO] [LOSS] loss=0.5094, semantic_loss=0.2656, center_loss=0.1094, offset_loss=0.1344 2021-04-19 07:14:57 [INFO] [TRAIN] epoch=178, iter=66200/90000, loss=0.5726, lr=0.000015, batch_cost=0.4948, reader_cost=0.00059, ips=2.0210 samples/sec | ETA 03:16:16 2021-04-19 07:14:57 [INFO] [LOSS] loss=0.5726, semantic_loss=0.2830, center_loss=0.1070, offset_loss=0.1826 2021-04-19 07:15:50 [INFO] [TRAIN] epoch=179, iter=66300/90000, loss=0.5294, lr=0.000015, batch_cost=0.5214, reader_cost=0.03422, ips=1.9178 samples/sec | ETA 03:25:57 2021-04-19 07:15:50 [INFO] [LOSS] loss=0.5294, semantic_loss=0.2743, center_loss=0.1212, offset_loss=0.1339 2021-04-19 07:16:39 [INFO] [TRAIN] epoch=179, iter=66400/90000, loss=0.5582, lr=0.000015, batch_cost=0.4943, reader_cost=0.00108, ips=2.0229 samples/sec | ETA 03:14:26 2021-04-19 07:16:39 [INFO] [LOSS] loss=0.5582, semantic_loss=0.3003, center_loss=0.1229, offset_loss=0.1350 2021-04-19 07:17:29 [INFO] [TRAIN] epoch=179, iter=66500/90000, loss=0.5396, lr=0.000015, batch_cost=0.4929, reader_cost=0.00077, ips=2.0286 samples/sec | ETA 03:13:04 2021-04-19 07:17:29 [INFO] [LOSS] loss=0.5396, semantic_loss=0.2825, center_loss=0.1102, offset_loss=0.1469 2021-04-19 07:18:21 [INFO] [TRAIN] epoch=180, iter=66600/90000, loss=0.5397, lr=0.000015, batch_cost=0.5279, reader_cost=0.03518, ips=1.8943 samples/sec | ETA 03:25:53 2021-04-19 07:18:21 [INFO] [LOSS] loss=0.5397, semantic_loss=0.2882, center_loss=0.1043, offset_loss=0.1472 2021-04-19 07:19:11 [INFO] [TRAIN] epoch=180, iter=66700/90000, loss=0.5400, lr=0.000015, batch_cost=0.4909, reader_cost=0.00068, ips=2.0372 samples/sec | ETA 03:10:37 2021-04-19 07:19:11 [INFO] [LOSS] loss=0.5400, semantic_loss=0.2780, center_loss=0.1303, offset_loss=0.1317 2021-04-19 07:20:00 [INFO] [TRAIN] epoch=180, iter=66800/90000, loss=0.6004, lr=0.000015, batch_cost=0.4940, reader_cost=0.00070, ips=2.0241 samples/sec | ETA 03:11:01 2021-04-19 07:20:00 [INFO] [LOSS] loss=0.6004, semantic_loss=0.2909, center_loss=0.0999, offset_loss=0.2096 2021-04-19 07:20:50 [INFO] [TRAIN] epoch=180, iter=66900/90000, loss=0.7741, lr=0.000015, batch_cost=0.4942, reader_cost=0.00089, ips=2.0236 samples/sec | ETA 03:10:15 2021-04-19 07:20:50 [INFO] [LOSS] loss=0.7741, semantic_loss=0.2831, center_loss=0.1181, offset_loss=0.3729 2021-04-19 07:21:43 [INFO] [TRAIN] epoch=181, iter=67000/90000, loss=0.5479, lr=0.000015, batch_cost=0.5265, reader_cost=0.03669, ips=1.8995 samples/sec | ETA 03:21:48 2021-04-19 07:21:43 [INFO] [LOSS] loss=0.5479, semantic_loss=0.2864, center_loss=0.1108, offset_loss=0.1507 2021-04-19 07:22:32 [INFO] [TRAIN] epoch=181, iter=67100/90000, loss=0.5402, lr=0.000015, batch_cost=0.4917, reader_cost=0.00117, ips=2.0336 samples/sec | ETA 03:07:40 2021-04-19 07:22:32 [INFO] [LOSS] loss=0.5402, semantic_loss=0.2764, center_loss=0.1268, offset_loss=0.1371 2021-04-19 07:23:21 [INFO] [TRAIN] epoch=181, iter=67200/90000, loss=0.5644, lr=0.000015, batch_cost=0.4939, reader_cost=0.00095, ips=2.0248 samples/sec | ETA 03:07:40 2021-04-19 07:23:21 [INFO] [LOSS] loss=0.5644, semantic_loss=0.2974, center_loss=0.1122, offset_loss=0.1548 2021-04-19 07:24:11 [INFO] [TRAIN] epoch=181, iter=67300/90000, loss=0.5333, lr=0.000014, batch_cost=0.4990, reader_cost=0.00069, ips=2.0040 samples/sec | ETA 03:08:47 2021-04-19 07:24:11 [INFO] [LOSS] loss=0.5333, semantic_loss=0.2786, center_loss=0.1028, offset_loss=0.1519 2021-04-19 07:25:04 [INFO] [TRAIN] epoch=182, iter=67400/90000, loss=0.6434, lr=0.000014, batch_cost=0.5245, reader_cost=0.03191, ips=1.9065 samples/sec | ETA 03:17:34 2021-04-19 07:25:04 [INFO] [LOSS] loss=0.6434, semantic_loss=0.2994, center_loss=0.1166, offset_loss=0.2275 2021-04-19 07:25:54 [INFO] [TRAIN] epoch=182, iter=67500/90000, loss=0.5520, lr=0.000014, batch_cost=0.4941, reader_cost=0.00114, ips=2.0239 samples/sec | ETA 03:05:16 2021-04-19 07:25:54 [INFO] [LOSS] loss=0.5520, semantic_loss=0.2843, center_loss=0.1265, offset_loss=0.1412 2021-04-19 07:26:44 [INFO] [TRAIN] epoch=182, iter=67600/90000, loss=0.5319, lr=0.000014, batch_cost=0.4982, reader_cost=0.00122, ips=2.0074 samples/sec | ETA 03:05:58 2021-04-19 07:26:44 [INFO] [LOSS] loss=0.5319, semantic_loss=0.2541, center_loss=0.1308, offset_loss=0.1469 2021-04-19 07:27:33 [INFO] [TRAIN] epoch=182, iter=67700/90000, loss=0.5341, lr=0.000014, batch_cost=0.4918, reader_cost=0.00081, ips=2.0335 samples/sec | ETA 03:02:46 2021-04-19 07:27:33 [INFO] [LOSS] loss=0.5341, semantic_loss=0.2907, center_loss=0.1054, offset_loss=0.1380 2021-04-19 07:28:26 [INFO] [TRAIN] epoch=183, iter=67800/90000, loss=0.5913, lr=0.000014, batch_cost=0.5289, reader_cost=0.03414, ips=1.8908 samples/sec | ETA 03:15:41 2021-04-19 07:28:26 [INFO] [LOSS] loss=0.5913, semantic_loss=0.2595, center_loss=0.1319, offset_loss=0.2000 2021-04-19 07:29:15 [INFO] [TRAIN] epoch=183, iter=67900/90000, loss=0.5000, lr=0.000014, batch_cost=0.4947, reader_cost=0.00070, ips=2.0213 samples/sec | ETA 03:02:13 2021-04-19 07:29:15 [INFO] [LOSS] loss=0.5000, semantic_loss=0.2713, center_loss=0.1029, offset_loss=0.1258 2021-04-19 07:30:05 [INFO] [TRAIN] epoch=183, iter=68000/90000, loss=0.5778, lr=0.000014, batch_cost=0.4970, reader_cost=0.00061, ips=2.0122 samples/sec | ETA 03:02:13 2021-04-19 07:30:05 [INFO] [LOSS] loss=0.5778, semantic_loss=0.2925, center_loss=0.1102, offset_loss=0.1751 2021-04-19 07:30:58 [INFO] [TRAIN] epoch=184, iter=68100/90000, loss=0.5209, lr=0.000014, batch_cost=0.5282, reader_cost=0.04014, ips=1.8934 samples/sec | ETA 03:12:46 2021-04-19 07:30:58 [INFO] [LOSS] loss=0.5209, semantic_loss=0.2652, center_loss=0.0975, offset_loss=0.1582 2021-04-19 07:31:47 [INFO] [TRAIN] epoch=184, iter=68200/90000, loss=0.4975, lr=0.000014, batch_cost=0.4915, reader_cost=0.00085, ips=2.0346 samples/sec | ETA 02:58:34 2021-04-19 07:31:47 [INFO] [LOSS] loss=0.4975, semantic_loss=0.2556, center_loss=0.0983, offset_loss=0.1436 2021-04-19 07:32:37 [INFO] [TRAIN] epoch=184, iter=68300/90000, loss=0.5482, lr=0.000014, batch_cost=0.4944, reader_cost=0.00102, ips=2.0227 samples/sec | ETA 02:58:48 2021-04-19 07:32:37 [INFO] [LOSS] loss=0.5482, semantic_loss=0.2581, center_loss=0.0936, offset_loss=0.1964 2021-04-19 07:33:27 [INFO] [TRAIN] epoch=184, iter=68400/90000, loss=0.5638, lr=0.000014, batch_cost=0.4967, reader_cost=0.00105, ips=2.0133 samples/sec | ETA 02:58:48 2021-04-19 07:33:27 [INFO] [LOSS] loss=0.5638, semantic_loss=0.2880, center_loss=0.1145, offset_loss=0.1612 2021-04-19 07:34:19 [INFO] [TRAIN] epoch=185, iter=68500/90000, loss=0.5417, lr=0.000014, batch_cost=0.5250, reader_cost=0.03435, ips=1.9049 samples/sec | ETA 03:08:06 2021-04-19 07:34:19 [INFO] [LOSS] loss=0.5417, semantic_loss=0.3164, center_loss=0.0965, offset_loss=0.1288 2021-04-19 07:35:09 [INFO] [TRAIN] epoch=185, iter=68600/90000, loss=0.5777, lr=0.000014, batch_cost=0.4927, reader_cost=0.00088, ips=2.0295 samples/sec | ETA 02:55:44 2021-04-19 07:35:09 [INFO] [LOSS] loss=0.5777, semantic_loss=0.2491, center_loss=0.1206, offset_loss=0.2080 2021-04-19 07:35:59 [INFO] [TRAIN] epoch=185, iter=68700/90000, loss=0.4903, lr=0.000014, batch_cost=0.4971, reader_cost=0.00082, ips=2.0117 samples/sec | ETA 02:56:28 2021-04-19 07:35:59 [INFO] [LOSS] loss=0.4903, semantic_loss=0.2497, center_loss=0.1086, offset_loss=0.1320 2021-04-19 07:36:49 [INFO] [TRAIN] epoch=185, iter=68800/90000, loss=0.6469, lr=0.000014, batch_cost=0.4975, reader_cost=0.00128, ips=2.0102 samples/sec | ETA 02:55:46 2021-04-19 07:36:49 [INFO] [LOSS] loss=0.6469, semantic_loss=0.2953, center_loss=0.1068, offset_loss=0.2448 2021-04-19 07:37:41 [INFO] [TRAIN] epoch=186, iter=68900/90000, loss=0.5564, lr=0.000014, batch_cost=0.5255, reader_cost=0.02982, ips=1.9029 samples/sec | ETA 03:04:48 2021-04-19 07:37:41 [INFO] [LOSS] loss=0.5564, semantic_loss=0.2757, center_loss=0.1141, offset_loss=0.1666 2021-04-19 07:38:31 [INFO] [TRAIN] epoch=186, iter=69000/90000, loss=0.6494, lr=0.000013, batch_cost=0.4952, reader_cost=0.00100, ips=2.0192 samples/sec | ETA 02:53:20 2021-04-19 07:38:31 [INFO] [LOSS] loss=0.6494, semantic_loss=0.2664, center_loss=0.1086, offset_loss=0.2744 2021-04-19 07:39:21 [INFO] [TRAIN] epoch=186, iter=69100/90000, loss=0.5189, lr=0.000013, batch_cost=0.4948, reader_cost=0.00095, ips=2.0212 samples/sec | ETA 02:52:20 2021-04-19 07:39:21 [INFO] [LOSS] loss=0.5189, semantic_loss=0.2749, center_loss=0.1069, offset_loss=0.1371 2021-04-19 07:40:13 [INFO] [TRAIN] epoch=187, iter=69200/90000, loss=0.5235, lr=0.000013, batch_cost=0.5274, reader_cost=0.03804, ips=1.8959 samples/sec | ETA 03:02:50 2021-04-19 07:40:13 [INFO] [LOSS] loss=0.5235, semantic_loss=0.2886, center_loss=0.0960, offset_loss=0.1389 2021-04-19 07:41:03 [INFO] [TRAIN] epoch=187, iter=69300/90000, loss=0.6331, lr=0.000013, batch_cost=0.4926, reader_cost=0.00096, ips=2.0302 samples/sec | ETA 02:49:55 2021-04-19 07:41:03 [INFO] [LOSS] loss=0.6331, semantic_loss=0.2751, center_loss=0.1309, offset_loss=0.2271 2021-04-19 07:41:52 [INFO] [TRAIN] epoch=187, iter=69400/90000, loss=0.5394, lr=0.000013, batch_cost=0.4929, reader_cost=0.00135, ips=2.0289 samples/sec | ETA 02:49:13 2021-04-19 07:41:52 [INFO] [LOSS] loss=0.5394, semantic_loss=0.2788, center_loss=0.1082, offset_loss=0.1524 2021-04-19 07:42:42 [INFO] [TRAIN] epoch=187, iter=69500/90000, loss=0.5613, lr=0.000013, batch_cost=0.4976, reader_cost=0.00093, ips=2.0097 samples/sec | ETA 02:50:00 2021-04-19 07:42:42 [INFO] [LOSS] loss=0.5613, semantic_loss=0.2676, center_loss=0.1081, offset_loss=0.1856 2021-04-19 07:43:35 [INFO] [TRAIN] epoch=188, iter=69600/90000, loss=0.5024, lr=0.000013, batch_cost=0.5253, reader_cost=0.03506, ips=1.9035 samples/sec | ETA 02:58:36 2021-04-19 07:43:35 [INFO] [LOSS] loss=0.5024, semantic_loss=0.2716, center_loss=0.1031, offset_loss=0.1277 2021-04-19 07:44:24 [INFO] [TRAIN] epoch=188, iter=69700/90000, loss=0.4993, lr=0.000013, batch_cost=0.4928, reader_cost=0.00086, ips=2.0293 samples/sec | ETA 02:46:43 2021-04-19 07:44:24 [INFO] [LOSS] loss=0.4993, semantic_loss=0.2761, center_loss=0.1073, offset_loss=0.1159 2021-04-19 07:45:14 [INFO] [TRAIN] epoch=188, iter=69800/90000, loss=0.4553, lr=0.000013, batch_cost=0.4936, reader_cost=0.00079, ips=2.0258 samples/sec | ETA 02:46:11 2021-04-19 07:45:14 [INFO] [LOSS] loss=0.4553, semantic_loss=0.2441, center_loss=0.1033, offset_loss=0.1079 2021-04-19 07:46:03 [INFO] [TRAIN] epoch=188, iter=69900/90000, loss=0.5145, lr=0.000013, batch_cost=0.4952, reader_cost=0.00106, ips=2.0193 samples/sec | ETA 02:45:53 2021-04-19 07:46:03 [INFO] [LOSS] loss=0.5145, semantic_loss=0.2885, center_loss=0.0948, offset_loss=0.1313 2021-04-19 07:46:56 [INFO] [TRAIN] epoch=189, iter=70000/90000, loss=0.5143, lr=0.000013, batch_cost=0.5247, reader_cost=0.03391, ips=1.9057 samples/sec | ETA 02:54:54 2021-04-19 07:46:56 [INFO] [LOSS] loss=0.5143, semantic_loss=0.2835, center_loss=0.1057, offset_loss=0.1251 2021-04-19 07:47:55 [INFO] [TRAIN] epoch=189, iter=70100/90000, loss=0.5168, lr=0.000013, batch_cost=0.4948, reader_cost=0.00071, ips=2.0211 samples/sec | ETA 02:44:06 2021-04-19 07:47:55 [INFO] [LOSS] loss=0.5168, semantic_loss=0.2640, center_loss=0.1090, offset_loss=0.1438 2021-04-19 07:48:44 [INFO] [TRAIN] epoch=189, iter=70200/90000, loss=0.5184, lr=0.000013, batch_cost=0.4964, reader_cost=0.00094, ips=2.0145 samples/sec | ETA 02:43:48 2021-04-19 07:48:44 [INFO] [LOSS] loss=0.5184, semantic_loss=0.2668, center_loss=0.1157, offset_loss=0.1358 2021-04-19 07:49:34 [INFO] [TRAIN] epoch=189, iter=70300/90000, loss=0.5464, lr=0.000013, batch_cost=0.4969, reader_cost=0.00093, ips=2.0126 samples/sec | ETA 02:43:08 2021-04-19 07:49:34 [INFO] [LOSS] loss=0.5464, semantic_loss=0.2932, center_loss=0.0996, offset_loss=0.1536 2021-04-19 07:50:27 [INFO] [TRAIN] epoch=190, iter=70400/90000, loss=0.5918, lr=0.000013, batch_cost=0.5259, reader_cost=0.04051, ips=1.9013 samples/sec | ETA 02:51:48 2021-04-19 07:50:27 [INFO] [LOSS] loss=0.5918, semantic_loss=0.2580, center_loss=0.1145, offset_loss=0.2193 2021-04-19 07:51:16 [INFO] [TRAIN] epoch=190, iter=70500/90000, loss=0.5183, lr=0.000013, batch_cost=0.4925, reader_cost=0.00063, ips=2.0305 samples/sec | ETA 02:40:03 2021-04-19 07:51:16 [INFO] [LOSS] loss=0.5183, semantic_loss=0.2818, center_loss=0.1154, offset_loss=0.1211 2021-04-19 07:52:06 [INFO] [TRAIN] epoch=190, iter=70600/90000, loss=0.5349, lr=0.000013, batch_cost=0.4961, reader_cost=0.00044, ips=2.0158 samples/sec | ETA 02:40:23 2021-04-19 07:52:06 [INFO] [LOSS] loss=0.5349, semantic_loss=0.2702, center_loss=0.1093, offset_loss=0.1555 2021-04-19 07:52:59 [INFO] [TRAIN] epoch=191, iter=70700/90000, loss=0.4730, lr=0.000013, batch_cost=0.5252, reader_cost=0.03465, ips=1.9041 samples/sec | ETA 02:48:56 2021-04-19 07:52:59 [INFO] [LOSS] loss=0.4730, semantic_loss=0.2669, center_loss=0.1007, offset_loss=0.1054 2021-04-19 07:53:48 [INFO] [TRAIN] epoch=191, iter=70800/90000, loss=0.6804, lr=0.000012, batch_cost=0.4947, reader_cost=0.00107, ips=2.0216 samples/sec | ETA 02:38:17 2021-04-19 07:53:48 [INFO] [LOSS] loss=0.6804, semantic_loss=0.2506, center_loss=0.0983, offset_loss=0.3314 2021-04-19 07:54:38 [INFO] [TRAIN] epoch=191, iter=70900/90000, loss=0.5940, lr=0.000012, batch_cost=0.4945, reader_cost=0.00056, ips=2.0223 samples/sec | ETA 02:37:24 2021-04-19 07:54:38 [INFO] [LOSS] loss=0.5940, semantic_loss=0.2562, center_loss=0.1260, offset_loss=0.2118 2021-04-19 07:55:27 [INFO] [TRAIN] epoch=191, iter=71000/90000, loss=0.5948, lr=0.000012, batch_cost=0.4953, reader_cost=0.00067, ips=2.0188 samples/sec | ETA 02:36:51 2021-04-19 07:55:27 [INFO] [LOSS] loss=0.5948, semantic_loss=0.2928, center_loss=0.1132, offset_loss=0.1889 2021-04-19 07:56:21 [INFO] [TRAIN] epoch=192, iter=71100/90000, loss=0.5167, lr=0.000012, batch_cost=0.5291, reader_cost=0.03878, ips=1.8899 samples/sec | ETA 02:46:40 2021-04-19 07:56:21 [INFO] [LOSS] loss=0.5167, semantic_loss=0.2940, center_loss=0.1036, offset_loss=0.1191 2021-04-19 07:57:10 [INFO] [TRAIN] epoch=192, iter=71200/90000, loss=0.4702, lr=0.000012, batch_cost=0.4949, reader_cost=0.00080, ips=2.0205 samples/sec | ETA 02:35:04 2021-04-19 07:57:10 [INFO] [LOSS] loss=0.4702, semantic_loss=0.2642, center_loss=0.1065, offset_loss=0.0994 2021-04-19 07:58:00 [INFO] [TRAIN] epoch=192, iter=71300/90000, loss=0.4826, lr=0.000012, batch_cost=0.4948, reader_cost=0.00078, ips=2.0212 samples/sec | ETA 02:34:12 2021-04-19 07:58:00 [INFO] [LOSS] loss=0.4826, semantic_loss=0.2487, center_loss=0.1052, offset_loss=0.1286 2021-04-19 07:58:49 [INFO] [TRAIN] epoch=192, iter=71400/90000, loss=0.5587, lr=0.000012, batch_cost=0.4955, reader_cost=0.00057, ips=2.0182 samples/sec | ETA 02:33:36 2021-04-19 07:58:49 [INFO] [LOSS] loss=0.5587, semantic_loss=0.2951, center_loss=0.1084, offset_loss=0.1551 2021-04-19 07:59:42 [INFO] [TRAIN] epoch=193, iter=71500/90000, loss=0.5375, lr=0.000012, batch_cost=0.5253, reader_cost=0.03618, ips=1.9038 samples/sec | ETA 02:41:57 2021-04-19 07:59:42 [INFO] [LOSS] loss=0.5375, semantic_loss=0.2702, center_loss=0.1020, offset_loss=0.1653 2021-04-19 08:00:32 [INFO] [TRAIN] epoch=193, iter=71600/90000, loss=0.5621, lr=0.000012, batch_cost=0.4933, reader_cost=0.00079, ips=2.0271 samples/sec | ETA 02:31:17 2021-04-19 08:00:32 [INFO] [LOSS] loss=0.5621, semantic_loss=0.2854, center_loss=0.1255, offset_loss=0.1512 2021-04-19 08:01:21 [INFO] [TRAIN] epoch=193, iter=71700/90000, loss=0.5210, lr=0.000012, batch_cost=0.4965, reader_cost=0.00060, ips=2.0142 samples/sec | ETA 02:31:25 2021-04-19 08:01:21 [INFO] [LOSS] loss=0.5210, semantic_loss=0.2680, center_loss=0.1079, offset_loss=0.1451 2021-04-19 08:02:14 [INFO] [TRAIN] epoch=194, iter=71800/90000, loss=0.4767, lr=0.000012, batch_cost=0.5262, reader_cost=0.03564, ips=1.9004 samples/sec | ETA 02:39:37 2021-04-19 08:02:14 [INFO] [LOSS] loss=0.4767, semantic_loss=0.2886, center_loss=0.0876, offset_loss=0.1004 2021-04-19 08:03:04 [INFO] [TRAIN] epoch=194, iter=71900/90000, loss=0.5716, lr=0.000012, batch_cost=0.4921, reader_cost=0.00077, ips=2.0322 samples/sec | ETA 02:28:26 2021-04-19 08:03:04 [INFO] [LOSS] loss=0.5716, semantic_loss=0.2709, center_loss=0.1179, offset_loss=0.1828 2021-04-19 08:03:53 [INFO] [TRAIN] epoch=194, iter=72000/90000, loss=0.5131, lr=0.000012, batch_cost=0.4943, reader_cost=0.00090, ips=2.0230 samples/sec | ETA 02:28:17 2021-04-19 08:03:53 [INFO] [LOSS] loss=0.5131, semantic_loss=0.2609, center_loss=0.1059, offset_loss=0.1463 2021-04-19 08:04:43 [INFO] [TRAIN] epoch=194, iter=72100/90000, loss=0.5062, lr=0.000012, batch_cost=0.4956, reader_cost=0.00037, ips=2.0176 samples/sec | ETA 02:27:52 2021-04-19 08:04:43 [INFO] [LOSS] loss=0.5062, semantic_loss=0.2605, center_loss=0.1149, offset_loss=0.1308 2021-04-19 08:05:36 [INFO] [TRAIN] epoch=195, iter=72200/90000, loss=0.5956, lr=0.000012, batch_cost=0.5260, reader_cost=0.03588, ips=1.9012 samples/sec | ETA 02:36:02 2021-04-19 08:05:36 [INFO] [LOSS] loss=0.5956, semantic_loss=0.2938, center_loss=0.1143, offset_loss=0.1875 2021-04-19 08:06:25 [INFO] [TRAIN] epoch=195, iter=72300/90000, loss=0.4821, lr=0.000012, batch_cost=0.4920, reader_cost=0.00054, ips=2.0325 samples/sec | ETA 02:25:08 2021-04-19 08:06:25 [INFO] [LOSS] loss=0.4821, semantic_loss=0.2680, center_loss=0.1007, offset_loss=0.1134 2021-04-19 08:07:14 [INFO] [TRAIN] epoch=195, iter=72400/90000, loss=0.5395, lr=0.000012, batch_cost=0.4937, reader_cost=0.00066, ips=2.0254 samples/sec | ETA 02:24:49 2021-04-19 08:07:14 [INFO] [LOSS] loss=0.5395, semantic_loss=0.2529, center_loss=0.1061, offset_loss=0.1806 2021-04-19 08:08:04 [INFO] [TRAIN] epoch=195, iter=72500/90000, loss=0.5181, lr=0.000011, batch_cost=0.4984, reader_cost=0.00043, ips=2.0063 samples/sec | ETA 02:25:22 2021-04-19 08:08:04 [INFO] [LOSS] loss=0.5181, semantic_loss=0.2768, center_loss=0.1143, offset_loss=0.1269 2021-04-19 08:08:57 [INFO] [TRAIN] epoch=196, iter=72600/90000, loss=0.5348, lr=0.000011, batch_cost=0.5215, reader_cost=0.03544, ips=1.9174 samples/sec | ETA 02:31:14 2021-04-19 08:08:57 [INFO] [LOSS] loss=0.5348, semantic_loss=0.3095, center_loss=0.0920, offset_loss=0.1333 2021-04-19 08:09:46 [INFO] [TRAIN] epoch=196, iter=72700/90000, loss=0.5281, lr=0.000011, batch_cost=0.4936, reader_cost=0.00038, ips=2.0257 samples/sec | ETA 02:22:20 2021-04-19 08:09:46 [INFO] [LOSS] loss=0.5281, semantic_loss=0.2673, center_loss=0.1301, offset_loss=0.1308 2021-04-19 08:10:36 [INFO] [TRAIN] epoch=196, iter=72800/90000, loss=0.4325, lr=0.000011, batch_cost=0.4919, reader_cost=0.00073, ips=2.0330 samples/sec | ETA 02:21:00 2021-04-19 08:10:36 [INFO] [LOSS] loss=0.4325, semantic_loss=0.2323, center_loss=0.0957, offset_loss=0.1045 2021-04-19 08:11:25 [INFO] [TRAIN] epoch=196, iter=72900/90000, loss=0.5387, lr=0.000011, batch_cost=0.4941, reader_cost=0.00080, ips=2.0238 samples/sec | ETA 02:20:49 2021-04-19 08:11:25 [INFO] [LOSS] loss=0.5387, semantic_loss=0.2915, center_loss=0.1007, offset_loss=0.1464 2021-04-19 08:12:18 [INFO] [TRAIN] epoch=197, iter=73000/90000, loss=0.4845, lr=0.000011, batch_cost=0.5298, reader_cost=0.03232, ips=1.8877 samples/sec | ETA 02:30:05 2021-04-19 08:12:18 [INFO] [LOSS] loss=0.4845, semantic_loss=0.2488, center_loss=0.0984, offset_loss=0.1373 2021-04-19 08:13:08 [INFO] [TRAIN] epoch=197, iter=73100/90000, loss=0.6192, lr=0.000011, batch_cost=0.4947, reader_cost=0.00141, ips=2.0214 samples/sec | ETA 02:19:20 2021-04-19 08:13:08 [INFO] [LOSS] loss=0.6192, semantic_loss=0.2777, center_loss=0.1081, offset_loss=0.2335 2021-04-19 08:13:57 [INFO] [TRAIN] epoch=197, iter=73200/90000, loss=0.4824, lr=0.000011, batch_cost=0.4949, reader_cost=0.00109, ips=2.0207 samples/sec | ETA 02:18:33 2021-04-19 08:13:57 [INFO] [LOSS] loss=0.4824, semantic_loss=0.2555, center_loss=0.0906, offset_loss=0.1363 2021-04-19 08:14:50 [INFO] [TRAIN] epoch=198, iter=73300/90000, loss=0.4780, lr=0.000011, batch_cost=0.5270, reader_cost=0.03318, ips=1.8974 samples/sec | ETA 02:26:41 2021-04-19 08:14:50 [INFO] [LOSS] loss=0.4780, semantic_loss=0.2638, center_loss=0.1028, offset_loss=0.1114 2021-04-19 08:15:39 [INFO] [TRAIN] epoch=198, iter=73400/90000, loss=0.4496, lr=0.000011, batch_cost=0.4914, reader_cost=0.00107, ips=2.0352 samples/sec | ETA 02:15:56 2021-04-19 08:15:39 [INFO] [LOSS] loss=0.4496, semantic_loss=0.2542, center_loss=0.1037, offset_loss=0.0917 2021-04-19 08:16:29 [INFO] [TRAIN] epoch=198, iter=73500/90000, loss=0.4754, lr=0.000011, batch_cost=0.4940, reader_cost=0.00080, ips=2.0244 samples/sec | ETA 02:15:50 2021-04-19 08:16:29 [INFO] [LOSS] loss=0.4754, semantic_loss=0.2469, center_loss=0.1056, offset_loss=0.1229 2021-04-19 08:17:19 [INFO] [TRAIN] epoch=198, iter=73600/90000, loss=0.6390, lr=0.000011, batch_cost=0.4978, reader_cost=0.00155, ips=2.0086 samples/sec | ETA 02:16:04 2021-04-19 08:17:19 [INFO] [LOSS] loss=0.6390, semantic_loss=0.2812, center_loss=0.1097, offset_loss=0.2481 2021-04-19 08:18:12 [INFO] [TRAIN] epoch=199, iter=73700/90000, loss=0.5126, lr=0.000011, batch_cost=0.5271, reader_cost=0.03799, ips=1.8972 samples/sec | ETA 02:23:11 2021-04-19 08:18:12 [INFO] [LOSS] loss=0.5126, semantic_loss=0.2845, center_loss=0.0933, offset_loss=0.1347 2021-04-19 08:19:01 [INFO] [TRAIN] epoch=199, iter=73800/90000, loss=0.4814, lr=0.000011, batch_cost=0.4880, reader_cost=0.00064, ips=2.0493 samples/sec | ETA 02:11:45 2021-04-19 08:19:01 [INFO] [LOSS] loss=0.4814, semantic_loss=0.2642, center_loss=0.1067, offset_loss=0.1105 2021-04-19 08:19:50 [INFO] [TRAIN] epoch=199, iter=73900/90000, loss=0.5239, lr=0.000011, batch_cost=0.4926, reader_cost=0.00110, ips=2.0299 samples/sec | ETA 02:12:11 2021-04-19 08:19:50 [INFO] [LOSS] loss=0.5239, semantic_loss=0.2431, center_loss=0.1141, offset_loss=0.1668 2021-04-19 08:20:40 [INFO] [TRAIN] epoch=199, iter=74000/90000, loss=0.4880, lr=0.000011, batch_cost=0.4973, reader_cost=0.00110, ips=2.0110 samples/sec | ETA 02:12:36 2021-04-19 08:20:40 [INFO] [LOSS] loss=0.4880, semantic_loss=0.2580, center_loss=0.0989, offset_loss=0.1310 2021-04-19 08:21:32 [INFO] [TRAIN] epoch=200, iter=74100/90000, loss=0.4998, lr=0.000011, batch_cost=0.5238, reader_cost=0.03483, ips=1.9093 samples/sec | ETA 02:18:47 2021-04-19 08:21:32 [INFO] [LOSS] loss=0.4998, semantic_loss=0.2561, center_loss=0.1192, offset_loss=0.1244 2021-04-19 08:22:22 [INFO] [TRAIN] epoch=200, iter=74200/90000, loss=0.5319, lr=0.000010, batch_cost=0.4952, reader_cost=0.00105, ips=2.0194 samples/sec | ETA 02:10:24 2021-04-19 08:22:22 [INFO] [LOSS] loss=0.5319, semantic_loss=0.2948, center_loss=0.1124, offset_loss=0.1247 2021-04-19 08:23:12 [INFO] [TRAIN] epoch=200, iter=74300/90000, loss=0.5258, lr=0.000010, batch_cost=0.4963, reader_cost=0.00065, ips=2.0147 samples/sec | ETA 02:09:52 2021-04-19 08:23:12 [INFO] [LOSS] loss=0.5258, semantic_loss=0.2579, center_loss=0.1146, offset_loss=0.1533 2021-04-19 08:24:01 [INFO] [TRAIN] epoch=200, iter=74400/90000, loss=0.5555, lr=0.000010, batch_cost=0.4904, reader_cost=0.00077, ips=2.0392 samples/sec | ETA 02:07:30 2021-04-19 08:24:01 [INFO] [LOSS] loss=0.5555, semantic_loss=0.2603, center_loss=0.0966, offset_loss=0.1985 2021-04-19 08:24:54 [INFO] [TRAIN] epoch=201, iter=74500/90000, loss=0.5007, lr=0.000010, batch_cost=0.5297, reader_cost=0.03268, ips=1.8880 samples/sec | ETA 02:16:49 2021-04-19 08:24:54 [INFO] [LOSS] loss=0.5007, semantic_loss=0.2516, center_loss=0.1232, offset_loss=0.1259 2021-04-19 08:25:43 [INFO] [TRAIN] epoch=201, iter=74600/90000, loss=0.5159, lr=0.000010, batch_cost=0.4925, reader_cost=0.00055, ips=2.0304 samples/sec | ETA 02:06:24 2021-04-19 08:25:43 [INFO] [LOSS] loss=0.5159, semantic_loss=0.2486, center_loss=0.1119, offset_loss=0.1555 2021-04-19 08:26:33 [INFO] [TRAIN] epoch=201, iter=74700/90000, loss=0.5166, lr=0.000010, batch_cost=0.4968, reader_cost=0.00115, ips=2.0131 samples/sec | ETA 02:06:40 2021-04-19 08:26:33 [INFO] [LOSS] loss=0.5166, semantic_loss=0.2812, center_loss=0.0945, offset_loss=0.1409 2021-04-19 08:27:26 [INFO] [TRAIN] epoch=202, iter=74800/90000, loss=0.7678, lr=0.000010, batch_cost=0.5241, reader_cost=0.03557, ips=1.9080 samples/sec | ETA 02:12:46 2021-04-19 08:27:26 [INFO] [LOSS] loss=0.7678, semantic_loss=0.2644, center_loss=0.1003, offset_loss=0.4031 2021-04-19 08:28:15 [INFO] [TRAIN] epoch=202, iter=74900/90000, loss=0.5597, lr=0.000010, batch_cost=0.4937, reader_cost=0.00064, ips=2.0255 samples/sec | ETA 02:04:15 2021-04-19 08:28:15 [INFO] [LOSS] loss=0.5597, semantic_loss=0.2656, center_loss=0.1226, offset_loss=0.1716 2021-04-19 08:29:05 [INFO] [TRAIN] epoch=202, iter=75000/90000, loss=0.4391, lr=0.000010, batch_cost=0.4958, reader_cost=0.00102, ips=2.0168 samples/sec | ETA 02:03:57 2021-04-19 08:29:05 [INFO] [LOSS] loss=0.4391, semantic_loss=0.2468, center_loss=0.0942, offset_loss=0.0982 2021-04-19 08:30:02 [INFO] [TRAIN] epoch=202, iter=75100/90000, loss=0.6123, lr=0.000010, batch_cost=0.4937, reader_cost=0.00058, ips=2.0256 samples/sec | ETA 02:02:35 2021-04-19 08:30:02 [INFO] [LOSS] loss=0.6123, semantic_loss=0.2735, center_loss=0.1032, offset_loss=0.2356 2021-04-19 08:30:54 [INFO] [TRAIN] epoch=203, iter=75200/90000, loss=0.5451, lr=0.000010, batch_cost=0.5240, reader_cost=0.03637, ips=1.9084 samples/sec | ETA 02:09:15 2021-04-19 08:30:54 [INFO] [LOSS] loss=0.5451, semantic_loss=0.2735, center_loss=0.1062, offset_loss=0.1654 2021-04-19 08:31:44 [INFO] [TRAIN] epoch=203, iter=75300/90000, loss=0.4987, lr=0.000010, batch_cost=0.4940, reader_cost=0.00066, ips=2.0241 samples/sec | ETA 02:01:02 2021-04-19 08:31:44 [INFO] [LOSS] loss=0.4987, semantic_loss=0.2546, center_loss=0.1125, offset_loss=0.1316 2021-04-19 08:32:33 [INFO] [TRAIN] epoch=203, iter=75400/90000, loss=0.4610, lr=0.000010, batch_cost=0.4921, reader_cost=0.00082, ips=2.0321 samples/sec | ETA 01:59:44 2021-04-19 08:32:33 [INFO] [LOSS] loss=0.4610, semantic_loss=0.2501, center_loss=0.1061, offset_loss=0.1048 2021-04-19 08:33:23 [INFO] [TRAIN] epoch=203, iter=75500/90000, loss=0.5538, lr=0.000010, batch_cost=0.4964, reader_cost=0.00081, ips=2.0144 samples/sec | ETA 01:59:58 2021-04-19 08:33:23 [INFO] [LOSS] loss=0.5538, semantic_loss=0.2855, center_loss=0.1133, offset_loss=0.1549 2021-04-19 08:34:16 [INFO] [TRAIN] epoch=204, iter=75600/90000, loss=0.4703, lr=0.000010, batch_cost=0.5267, reader_cost=0.03422, ips=1.8985 samples/sec | ETA 02:06:25 2021-04-19 08:34:16 [INFO] [LOSS] loss=0.4703, semantic_loss=0.2428, center_loss=0.1054, offset_loss=0.1222 2021-04-19 08:35:05 [INFO] [TRAIN] epoch=204, iter=75700/90000, loss=0.4817, lr=0.000010, batch_cost=0.4948, reader_cost=0.00069, ips=2.0211 samples/sec | ETA 01:57:55 2021-04-19 08:35:05 [INFO] [LOSS] loss=0.4817, semantic_loss=0.2675, center_loss=0.1048, offset_loss=0.1094 2021-04-19 08:35:55 [INFO] [TRAIN] epoch=204, iter=75800/90000, loss=0.4799, lr=0.000009, batch_cost=0.4954, reader_cost=0.00062, ips=2.0185 samples/sec | ETA 01:57:15 2021-04-19 08:35:55 [INFO] [LOSS] loss=0.4799, semantic_loss=0.2506, center_loss=0.1024, offset_loss=0.1269 2021-04-19 08:36:48 [INFO] [TRAIN] epoch=205, iter=75900/90000, loss=0.6094, lr=0.000009, batch_cost=0.5307, reader_cost=0.03554, ips=1.8842 samples/sec | ETA 02:04:43 2021-04-19 08:36:48 [INFO] [LOSS] loss=0.6094, semantic_loss=0.2799, center_loss=0.1186, offset_loss=0.2109 2021-04-19 08:37:38 [INFO] [TRAIN] epoch=205, iter=76000/90000, loss=0.4936, lr=0.000009, batch_cost=0.4922, reader_cost=0.00059, ips=2.0317 samples/sec | ETA 01:54:50 2021-04-19 08:37:38 [INFO] [LOSS] loss=0.4936, semantic_loss=0.2486, center_loss=0.1059, offset_loss=0.1391 2021-04-19 08:38:27 [INFO] [TRAIN] epoch=205, iter=76100/90000, loss=0.4923, lr=0.000009, batch_cost=0.4948, reader_cost=0.00063, ips=2.0212 samples/sec | ETA 01:54:37 2021-04-19 08:38:27 [INFO] [LOSS] loss=0.4923, semantic_loss=0.2662, center_loss=0.1056, offset_loss=0.1205 2021-04-19 08:39:17 [INFO] [TRAIN] epoch=205, iter=76200/90000, loss=0.5582, lr=0.000009, batch_cost=0.4947, reader_cost=0.00061, ips=2.0213 samples/sec | ETA 01:53:47 2021-04-19 08:39:17 [INFO] [LOSS] loss=0.5582, semantic_loss=0.2700, center_loss=0.1254, offset_loss=0.1629 2021-04-19 08:40:10 [INFO] [TRAIN] epoch=206, iter=76300/90000, loss=0.8409, lr=0.000009, batch_cost=0.5327, reader_cost=0.03390, ips=1.8771 samples/sec | ETA 02:01:38 2021-04-19 08:40:10 [INFO] [LOSS] loss=0.8409, semantic_loss=0.2904, center_loss=0.1030, offset_loss=0.4475 2021-04-19 08:41:00 [INFO] [TRAIN] epoch=206, iter=76400/90000, loss=0.5416, lr=0.000009, batch_cost=0.4922, reader_cost=0.00090, ips=2.0315 samples/sec | ETA 01:51:34 2021-04-19 08:41:00 [INFO] [LOSS] loss=0.5416, semantic_loss=0.2762, center_loss=0.0892, offset_loss=0.1763 2021-04-19 08:41:49 [INFO] [TRAIN] epoch=206, iter=76500/90000, loss=0.4410, lr=0.000009, batch_cost=0.4933, reader_cost=0.00074, ips=2.0271 samples/sec | ETA 01:50:59 2021-04-19 08:41:49 [INFO] [LOSS] loss=0.4410, semantic_loss=0.2480, center_loss=0.0858, offset_loss=0.1073 2021-04-19 08:42:39 [INFO] [TRAIN] epoch=206, iter=76600/90000, loss=0.4987, lr=0.000009, batch_cost=0.4981, reader_cost=0.00127, ips=2.0076 samples/sec | ETA 01:51:14 2021-04-19 08:42:39 [INFO] [LOSS] loss=0.4987, semantic_loss=0.2461, center_loss=0.1142, offset_loss=0.1384 2021-04-19 08:43:32 [INFO] [TRAIN] epoch=207, iter=76700/90000, loss=0.5329, lr=0.000009, batch_cost=0.5266, reader_cost=0.04371, ips=1.8988 samples/sec | ETA 01:56:44 2021-04-19 08:43:32 [INFO] [LOSS] loss=0.5329, semantic_loss=0.2912, center_loss=0.0911, offset_loss=0.1507 2021-04-19 08:44:21 [INFO] [TRAIN] epoch=207, iter=76800/90000, loss=0.7022, lr=0.000009, batch_cost=0.4926, reader_cost=0.00080, ips=2.0301 samples/sec | ETA 01:48:22 2021-04-19 08:44:21 [INFO] [LOSS] loss=0.7022, semantic_loss=0.2635, center_loss=0.1002, offset_loss=0.3385 2021-04-19 08:45:11 [INFO] [TRAIN] epoch=207, iter=76900/90000, loss=0.6078, lr=0.000009, batch_cost=0.4962, reader_cost=0.00073, ips=2.0155 samples/sec | ETA 01:48:19 2021-04-19 08:45:11 [INFO] [LOSS] loss=0.6078, semantic_loss=0.2555, center_loss=0.1313, offset_loss=0.2211 2021-04-19 08:46:00 [INFO] [TRAIN] epoch=207, iter=77000/90000, loss=0.4884, lr=0.000009, batch_cost=0.4930, reader_cost=0.00064, ips=2.0286 samples/sec | ETA 01:46:48 2021-04-19 08:46:00 [INFO] [LOSS] loss=0.4884, semantic_loss=0.2491, center_loss=0.1084, offset_loss=0.1309 2021-04-19 08:46:53 [INFO] [TRAIN] epoch=208, iter=77100/90000, loss=0.7060, lr=0.000009, batch_cost=0.5280, reader_cost=0.03452, ips=1.8939 samples/sec | ETA 01:53:31 2021-04-19 08:46:53 [INFO] [LOSS] loss=0.7060, semantic_loss=0.2465, center_loss=0.1079, offset_loss=0.3516 2021-04-19 08:47:43 [INFO] [TRAIN] epoch=208, iter=77200/90000, loss=0.7986, lr=0.000009, batch_cost=0.4968, reader_cost=0.00107, ips=2.0131 samples/sec | ETA 01:45:58 2021-04-19 08:47:43 [INFO] [LOSS] loss=0.7986, semantic_loss=0.2517, center_loss=0.1036, offset_loss=0.4433 2021-04-19 08:48:33 [INFO] [TRAIN] epoch=208, iter=77300/90000, loss=0.5749, lr=0.000009, batch_cost=0.4977, reader_cost=0.00162, ips=2.0091 samples/sec | ETA 01:45:21 2021-04-19 08:48:33 [INFO] [LOSS] loss=0.5749, semantic_loss=0.2593, center_loss=0.1067, offset_loss=0.2089 2021-04-19 08:49:25 [INFO] [TRAIN] epoch=209, iter=77400/90000, loss=0.5347, lr=0.000009, batch_cost=0.5235, reader_cost=0.03242, ips=1.9103 samples/sec | ETA 01:49:55 2021-04-19 08:49:25 [INFO] [LOSS] loss=0.5347, semantic_loss=0.2700, center_loss=0.1001, offset_loss=0.1646 2021-04-19 08:50:15 [INFO] [TRAIN] epoch=209, iter=77500/90000, loss=0.6455, lr=0.000008, batch_cost=0.4951, reader_cost=0.00071, ips=2.0199 samples/sec | ETA 01:43:08 2021-04-19 08:50:15 [INFO] [LOSS] loss=0.6455, semantic_loss=0.2573, center_loss=0.1069, offset_loss=0.2814 2021-04-19 08:51:05 [INFO] [TRAIN] epoch=209, iter=77600/90000, loss=0.5549, lr=0.000008, batch_cost=0.4962, reader_cost=0.00113, ips=2.0152 samples/sec | ETA 01:42:33 2021-04-19 08:51:05 [INFO] [LOSS] loss=0.5549, semantic_loss=0.2747, center_loss=0.1051, offset_loss=0.1751 2021-04-19 08:51:55 [INFO] [TRAIN] epoch=209, iter=77700/90000, loss=0.4909, lr=0.000008, batch_cost=0.4970, reader_cost=0.00079, ips=2.0119 samples/sec | ETA 01:41:53 2021-04-19 08:51:55 [INFO] [LOSS] loss=0.4909, semantic_loss=0.2491, center_loss=0.1016, offset_loss=0.1403 2021-04-19 08:52:47 [INFO] [TRAIN] epoch=210, iter=77800/90000, loss=0.5693, lr=0.000008, batch_cost=0.5272, reader_cost=0.03958, ips=1.8968 samples/sec | ETA 01:47:11 2021-04-19 08:52:47 [INFO] [LOSS] loss=0.5693, semantic_loss=0.2709, center_loss=0.0970, offset_loss=0.2014 2021-04-19 08:53:37 [INFO] [TRAIN] epoch=210, iter=77900/90000, loss=0.4747, lr=0.000008, batch_cost=0.4908, reader_cost=0.00043, ips=2.0374 samples/sec | ETA 01:38:58 2021-04-19 08:53:37 [INFO] [LOSS] loss=0.4747, semantic_loss=0.2587, center_loss=0.1005, offset_loss=0.1156 2021-04-19 08:54:26 [INFO] [TRAIN] epoch=210, iter=78000/90000, loss=0.5273, lr=0.000008, batch_cost=0.4936, reader_cost=0.00074, ips=2.0258 samples/sec | ETA 01:38:43 2021-04-19 08:54:26 [INFO] [LOSS] loss=0.5273, semantic_loss=0.2600, center_loss=0.1060, offset_loss=0.1613 2021-04-19 08:55:16 [INFO] [TRAIN] epoch=210, iter=78100/90000, loss=0.5140, lr=0.000008, batch_cost=0.4976, reader_cost=0.00120, ips=2.0097 samples/sec | ETA 01:38:41 2021-04-19 08:55:16 [INFO] [LOSS] loss=0.5140, semantic_loss=0.2666, center_loss=0.1022, offset_loss=0.1453 2021-04-19 08:56:09 [INFO] [TRAIN] epoch=211, iter=78200/90000, loss=0.5233, lr=0.000008, batch_cost=0.5243, reader_cost=0.03493, ips=1.9072 samples/sec | ETA 01:43:07 2021-04-19 08:56:09 [INFO] [LOSS] loss=0.5233, semantic_loss=0.2669, center_loss=0.1274, offset_loss=0.1290 2021-04-19 08:56:58 [INFO] [TRAIN] epoch=211, iter=78300/90000, loss=0.5709, lr=0.000008, batch_cost=0.4949, reader_cost=0.00102, ips=2.0207 samples/sec | ETA 01:36:30 2021-04-19 08:56:58 [INFO] [LOSS] loss=0.5709, semantic_loss=0.2722, center_loss=0.1221, offset_loss=0.1767 2021-04-19 08:57:48 [INFO] [TRAIN] epoch=211, iter=78400/90000, loss=0.4701, lr=0.000008, batch_cost=0.4997, reader_cost=0.00119, ips=2.0011 samples/sec | ETA 01:36:36 2021-04-19 08:57:48 [INFO] [LOSS] loss=0.4701, semantic_loss=0.2513, center_loss=0.1168, offset_loss=0.1020 2021-04-19 08:58:41 [INFO] [TRAIN] epoch=212, iter=78500/90000, loss=0.5838, lr=0.000008, batch_cost=0.5277, reader_cost=0.03911, ips=1.8949 samples/sec | ETA 01:41:09 2021-04-19 08:58:41 [INFO] [LOSS] loss=0.5838, semantic_loss=0.2658, center_loss=0.0968, offset_loss=0.2211 2021-04-19 08:59:31 [INFO] [TRAIN] epoch=212, iter=78600/90000, loss=0.8018, lr=0.000008, batch_cost=0.4920, reader_cost=0.00087, ips=2.0326 samples/sec | ETA 01:33:28 2021-04-19 08:59:31 [INFO] [LOSS] loss=0.8018, semantic_loss=0.2628, center_loss=0.1018, offset_loss=0.4372 2021-04-19 09:00:20 [INFO] [TRAIN] epoch=212, iter=78700/90000, loss=0.5010, lr=0.000008, batch_cost=0.4941, reader_cost=0.00099, ips=2.0238 samples/sec | ETA 01:33:03 2021-04-19 09:00:20 [INFO] [LOSS] loss=0.5010, semantic_loss=0.2811, center_loss=0.0998, offset_loss=0.1201 2021-04-19 09:01:10 [INFO] [TRAIN] epoch=212, iter=78800/90000, loss=0.4639, lr=0.000008, batch_cost=0.4982, reader_cost=0.00059, ips=2.0072 samples/sec | ETA 01:32:59 2021-04-19 09:01:10 [INFO] [LOSS] loss=0.4639, semantic_loss=0.2565, center_loss=0.1006, offset_loss=0.1068 2021-04-19 09:02:03 [INFO] [TRAIN] epoch=213, iter=78900/90000, loss=0.5130, lr=0.000008, batch_cost=0.5245, reader_cost=0.03649, ips=1.9066 samples/sec | ETA 01:37:01 2021-04-19 09:02:03 [INFO] [LOSS] loss=0.5130, semantic_loss=0.3024, center_loss=0.1008, offset_loss=0.1099 2021-04-19 09:02:52 [INFO] [TRAIN] epoch=213, iter=79000/90000, loss=0.5235, lr=0.000008, batch_cost=0.4938, reader_cost=0.00125, ips=2.0253 samples/sec | ETA 01:30:31 2021-04-19 09:02:52 [INFO] [LOSS] loss=0.5235, semantic_loss=0.2687, center_loss=0.1146, offset_loss=0.1403 2021-04-19 09:03:41 [INFO] [TRAIN] epoch=213, iter=79100/90000, loss=0.4660, lr=0.000007, batch_cost=0.4915, reader_cost=0.00075, ips=2.0344 samples/sec | ETA 01:29:17 2021-04-19 09:03:41 [INFO] [LOSS] loss=0.4660, semantic_loss=0.2569, center_loss=0.0940, offset_loss=0.1151 2021-04-19 09:04:31 [INFO] [TRAIN] epoch=213, iter=79200/90000, loss=0.6837, lr=0.000007, batch_cost=0.4942, reader_cost=0.00103, ips=2.0235 samples/sec | ETA 01:28:57 2021-04-19 09:04:31 [INFO] [LOSS] loss=0.6837, semantic_loss=0.2810, center_loss=0.0983, offset_loss=0.3043 2021-04-19 09:05:24 [INFO] [TRAIN] epoch=214, iter=79300/90000, loss=0.5116, lr=0.000007, batch_cost=0.5299, reader_cost=0.04432, ips=1.8872 samples/sec | ETA 01:34:29 2021-04-19 09:05:24 [INFO] [LOSS] loss=0.5116, semantic_loss=0.2703, center_loss=0.0947, offset_loss=0.1467 2021-04-19 09:06:14 [INFO] [TRAIN] epoch=214, iter=79400/90000, loss=0.5045, lr=0.000007, batch_cost=0.4936, reader_cost=0.00144, ips=2.0261 samples/sec | ETA 01:27:11 2021-04-19 09:06:14 [INFO] [LOSS] loss=0.5045, semantic_loss=0.2556, center_loss=0.1114, offset_loss=0.1376 2021-04-19 09:07:03 [INFO] [TRAIN] epoch=214, iter=79500/90000, loss=0.4659, lr=0.000007, batch_cost=0.4956, reader_cost=0.00135, ips=2.0178 samples/sec | ETA 01:26:43 2021-04-19 09:07:03 [INFO] [LOSS] loss=0.4659, semantic_loss=0.2325, center_loss=0.1242, offset_loss=0.1092 2021-04-19 09:07:53 [INFO] [TRAIN] epoch=214, iter=79600/90000, loss=0.4793, lr=0.000007, batch_cost=0.4945, reader_cost=0.00084, ips=2.0221 samples/sec | ETA 01:25:43 2021-04-19 09:07:53 [INFO] [LOSS] loss=0.4793, semantic_loss=0.2703, center_loss=0.0968, offset_loss=0.1122 2021-04-19 09:08:45 [INFO] [TRAIN] epoch=215, iter=79700/90000, loss=0.4873, lr=0.000007, batch_cost=0.5231, reader_cost=0.03608, ips=1.9117 samples/sec | ETA 01:29:47 2021-04-19 09:08:45 [INFO] [LOSS] loss=0.4873, semantic_loss=0.2440, center_loss=0.1173, offset_loss=0.1260 2021-04-19 09:09:35 [INFO] [TRAIN] epoch=215, iter=79800/90000, loss=0.5183, lr=0.000007, batch_cost=0.4943, reader_cost=0.00075, ips=2.0231 samples/sec | ETA 01:24:01 2021-04-19 09:09:35 [INFO] [LOSS] loss=0.5183, semantic_loss=0.2691, center_loss=0.1118, offset_loss=0.1374 2021-04-19 09:10:24 [INFO] [TRAIN] epoch=215, iter=79900/90000, loss=0.4881, lr=0.000007, batch_cost=0.4952, reader_cost=0.00082, ips=2.0195 samples/sec | ETA 01:23:21 2021-04-19 09:10:24 [INFO] [LOSS] loss=0.4881, semantic_loss=0.2575, center_loss=0.1013, offset_loss=0.1293 2021-04-19 09:11:17 [INFO] [TRAIN] epoch=216, iter=80000/90000, loss=0.5262, lr=0.000007, batch_cost=0.5243, reader_cost=0.03540, ips=1.9075 samples/sec | ETA 01:27:22 2021-04-19 09:11:17 [INFO] [LOSS] loss=0.5262, semantic_loss=0.2815, center_loss=0.0922, offset_loss=0.1525 2021-04-19 09:12:14 [INFO] [TRAIN] epoch=216, iter=80100/90000, loss=0.4673, lr=0.000007, batch_cost=0.4923, reader_cost=0.00033, ips=2.0311 samples/sec | ETA 01:21:14 2021-04-19 09:12:14 [INFO] [LOSS] loss=0.4673, semantic_loss=0.2489, center_loss=0.0947, offset_loss=0.1237 2021-04-19 09:13:03 [INFO] [TRAIN] epoch=216, iter=80200/90000, loss=0.5387, lr=0.000007, batch_cost=0.4958, reader_cost=0.00059, ips=2.0169 samples/sec | ETA 01:20:58 2021-04-19 09:13:03 [INFO] [LOSS] loss=0.5387, semantic_loss=0.2714, center_loss=0.1156, offset_loss=0.1517 2021-04-19 09:13:53 [INFO] [TRAIN] epoch=216, iter=80300/90000, loss=0.5085, lr=0.000007, batch_cost=0.4971, reader_cost=0.00078, ips=2.0117 samples/sec | ETA 01:20:21 2021-04-19 09:13:53 [INFO] [LOSS] loss=0.5085, semantic_loss=0.2862, center_loss=0.1044, offset_loss=0.1179 2021-04-19 09:14:45 [INFO] [TRAIN] epoch=217, iter=80400/90000, loss=0.7304, lr=0.000007, batch_cost=0.5203, reader_cost=0.03471, ips=1.9220 samples/sec | ETA 01:23:14 2021-04-19 09:14:45 [INFO] [LOSS] loss=0.7304, semantic_loss=0.2569, center_loss=0.0919, offset_loss=0.3815 2021-04-19 09:15:35 [INFO] [TRAIN] epoch=217, iter=80500/90000, loss=0.7994, lr=0.000007, batch_cost=0.4943, reader_cost=0.00145, ips=2.0232 samples/sec | ETA 01:18:15 2021-04-19 09:15:35 [INFO] [LOSS] loss=0.7994, semantic_loss=0.2493, center_loss=0.0957, offset_loss=0.4543 2021-04-19 09:16:24 [INFO] [TRAIN] epoch=217, iter=80600/90000, loss=0.4695, lr=0.000007, batch_cost=0.4936, reader_cost=0.00068, ips=2.0261 samples/sec | ETA 01:17:19 2021-04-19 09:16:24 [INFO] [LOSS] loss=0.4695, semantic_loss=0.2390, center_loss=0.1000, offset_loss=0.1306 2021-04-19 09:17:14 [INFO] [TRAIN] epoch=217, iter=80700/90000, loss=0.6054, lr=0.000006, batch_cost=0.4989, reader_cost=0.00051, ips=2.0043 samples/sec | ETA 01:17:19 2021-04-19 09:17:14 [INFO] [LOSS] loss=0.6054, semantic_loss=0.2743, center_loss=0.1006, offset_loss=0.2305 2021-04-19 09:18:07 [INFO] [TRAIN] epoch=218, iter=80800/90000, loss=0.4947, lr=0.000006, batch_cost=0.5227, reader_cost=0.03544, ips=1.9132 samples/sec | ETA 01:20:08 2021-04-19 09:18:07 [INFO] [LOSS] loss=0.4947, semantic_loss=0.2674, center_loss=0.1054, offset_loss=0.1219 2021-04-19 09:18:56 [INFO] [TRAIN] epoch=218, iter=80900/90000, loss=0.4982, lr=0.000006, batch_cost=0.4924, reader_cost=0.00118, ips=2.0309 samples/sec | ETA 01:14:40 2021-04-19 09:18:56 [INFO] [LOSS] loss=0.4982, semantic_loss=0.2782, center_loss=0.1082, offset_loss=0.1117 2021-04-19 09:19:46 [INFO] [TRAIN] epoch=218, iter=81000/90000, loss=0.5192, lr=0.000006, batch_cost=0.4977, reader_cost=0.00065, ips=2.0091 samples/sec | ETA 01:14:39 2021-04-19 09:19:46 [INFO] [LOSS] loss=0.5192, semantic_loss=0.2517, center_loss=0.1091, offset_loss=0.1584 2021-04-19 09:20:39 [INFO] [TRAIN] epoch=219, iter=81100/90000, loss=0.5199, lr=0.000006, batch_cost=0.5268, reader_cost=0.03350, ips=1.8981 samples/sec | ETA 01:18:08 2021-04-19 09:20:39 [INFO] [LOSS] loss=0.5199, semantic_loss=0.2885, center_loss=0.0917, offset_loss=0.1397 2021-04-19 09:21:29 [INFO] [TRAIN] epoch=219, iter=81200/90000, loss=0.5016, lr=0.000006, batch_cost=0.4936, reader_cost=0.00135, ips=2.0258 samples/sec | ETA 01:12:24 2021-04-19 09:21:29 [INFO] [LOSS] loss=0.5016, semantic_loss=0.2443, center_loss=0.0898, offset_loss=0.1674 2021-04-19 09:22:18 [INFO] [TRAIN] epoch=219, iter=81300/90000, loss=0.4520, lr=0.000006, batch_cost=0.4969, reader_cost=0.00065, ips=2.0126 samples/sec | ETA 01:12:02 2021-04-19 09:22:18 [INFO] [LOSS] loss=0.4520, semantic_loss=0.2656, center_loss=0.0792, offset_loss=0.1072 2021-04-19 09:23:08 [INFO] [TRAIN] epoch=219, iter=81400/90000, loss=0.5558, lr=0.000006, batch_cost=0.4976, reader_cost=0.00077, ips=2.0095 samples/sec | ETA 01:11:19 2021-04-19 09:23:08 [INFO] [LOSS] loss=0.5558, semantic_loss=0.2456, center_loss=0.1097, offset_loss=0.2005 2021-04-19 09:24:02 [INFO] [TRAIN] epoch=220, iter=81500/90000, loss=0.4843, lr=0.000006, batch_cost=0.5335, reader_cost=0.03078, ips=1.8743 samples/sec | ETA 01:15:35 2021-04-19 09:24:02 [INFO] [LOSS] loss=0.4843, semantic_loss=0.2646, center_loss=0.1006, offset_loss=0.1190 2021-04-19 09:24:51 [INFO] [TRAIN] epoch=220, iter=81600/90000, loss=0.4951, lr=0.000006, batch_cost=0.4891, reader_cost=0.00081, ips=2.0446 samples/sec | ETA 01:08:28 2021-04-19 09:24:51 [INFO] [LOSS] loss=0.4951, semantic_loss=0.2545, center_loss=0.0936, offset_loss=0.1470 2021-04-19 09:25:40 [INFO] [TRAIN] epoch=220, iter=81700/90000, loss=0.4503, lr=0.000006, batch_cost=0.4954, reader_cost=0.00067, ips=2.0185 samples/sec | ETA 01:08:32 2021-04-19 09:25:40 [INFO] [LOSS] loss=0.4503, semantic_loss=0.2491, center_loss=0.1087, offset_loss=0.0925 2021-04-19 09:26:30 [INFO] [TRAIN] epoch=220, iter=81800/90000, loss=0.4998, lr=0.000006, batch_cost=0.4959, reader_cost=0.00080, ips=2.0165 samples/sec | ETA 01:07:46 2021-04-19 09:26:30 [INFO] [LOSS] loss=0.4998, semantic_loss=0.2626, center_loss=0.0988, offset_loss=0.1385 2021-04-19 09:27:23 [INFO] [TRAIN] epoch=221, iter=81900/90000, loss=0.4995, lr=0.000006, batch_cost=0.5250, reader_cost=0.03361, ips=1.9047 samples/sec | ETA 01:10:52 2021-04-19 09:27:23 [INFO] [LOSS] loss=0.4995, semantic_loss=0.2854, center_loss=0.0851, offset_loss=0.1289 2021-04-19 09:28:12 [INFO] [TRAIN] epoch=221, iter=82000/90000, loss=0.4763, lr=0.000006, batch_cost=0.4935, reader_cost=0.00042, ips=2.0263 samples/sec | ETA 01:05:48 2021-04-19 09:28:12 [INFO] [LOSS] loss=0.4763, semantic_loss=0.2502, center_loss=0.1128, offset_loss=0.1133 2021-04-19 09:29:02 [INFO] [TRAIN] epoch=221, iter=82100/90000, loss=0.4636, lr=0.000006, batch_cost=0.4933, reader_cost=0.00066, ips=2.0272 samples/sec | ETA 01:04:57 2021-04-19 09:29:02 [INFO] [LOSS] loss=0.4636, semantic_loss=0.2511, center_loss=0.0991, offset_loss=0.1134 2021-04-19 09:29:51 [INFO] [TRAIN] epoch=221, iter=82200/90000, loss=0.5022, lr=0.000006, batch_cost=0.4940, reader_cost=0.00114, ips=2.0243 samples/sec | ETA 01:04:13 2021-04-19 09:29:51 [INFO] [LOSS] loss=0.5022, semantic_loss=0.2733, center_loss=0.0836, offset_loss=0.1453 2021-04-19 09:30:44 [INFO] [TRAIN] epoch=222, iter=82300/90000, loss=0.6359, lr=0.000005, batch_cost=0.5258, reader_cost=0.03736, ips=1.9020 samples/sec | ETA 01:07:28 2021-04-19 09:30:44 [INFO] [LOSS] loss=0.6359, semantic_loss=0.2479, center_loss=0.1084, offset_loss=0.2797 2021-04-19 09:31:34 [INFO] [TRAIN] epoch=222, iter=82400/90000, loss=0.5308, lr=0.000005, batch_cost=0.4945, reader_cost=0.00106, ips=2.0222 samples/sec | ETA 01:02:38 2021-04-19 09:31:34 [INFO] [LOSS] loss=0.5308, semantic_loss=0.2668, center_loss=0.1288, offset_loss=0.1352 2021-04-19 09:32:23 [INFO] [TRAIN] epoch=222, iter=82500/90000, loss=0.4892, lr=0.000005, batch_cost=0.4956, reader_cost=0.00092, ips=2.0176 samples/sec | ETA 01:01:57 2021-04-19 09:32:23 [INFO] [LOSS] loss=0.4892, semantic_loss=0.2616, center_loss=0.1119, offset_loss=0.1157 2021-04-19 09:33:16 [INFO] [TRAIN] epoch=223, iter=82600/90000, loss=0.4641, lr=0.000005, batch_cost=0.5272, reader_cost=0.03269, ips=1.8969 samples/sec | ETA 01:05:01 2021-04-19 09:33:16 [INFO] [LOSS] loss=0.4641, semantic_loss=0.2485, center_loss=0.1019, offset_loss=0.1137 2021-04-19 09:34:06 [INFO] [TRAIN] epoch=223, iter=82700/90000, loss=0.4924, lr=0.000005, batch_cost=0.4919, reader_cost=0.00081, ips=2.0328 samples/sec | ETA 00:59:51 2021-04-19 09:34:06 [INFO] [LOSS] loss=0.4924, semantic_loss=0.2399, center_loss=0.1161, offset_loss=0.1364 2021-04-19 09:34:55 [INFO] [TRAIN] epoch=223, iter=82800/90000, loss=0.4572, lr=0.000005, batch_cost=0.4944, reader_cost=0.00088, ips=2.0225 samples/sec | ETA 00:59:20 2021-04-19 09:34:55 [INFO] [LOSS] loss=0.4572, semantic_loss=0.2523, center_loss=0.0860, offset_loss=0.1189 2021-04-19 09:35:45 [INFO] [TRAIN] epoch=223, iter=82900/90000, loss=0.4556, lr=0.000005, batch_cost=0.4972, reader_cost=0.00064, ips=2.0113 samples/sec | ETA 00:58:50 2021-04-19 09:35:45 [INFO] [LOSS] loss=0.4556, semantic_loss=0.2432, center_loss=0.0951, offset_loss=0.1173 2021-04-19 09:36:38 [INFO] [TRAIN] epoch=224, iter=83000/90000, loss=0.4937, lr=0.000005, batch_cost=0.5253, reader_cost=0.03457, ips=1.9037 samples/sec | ETA 01:01:17 2021-04-19 09:36:38 [INFO] [LOSS] loss=0.4937, semantic_loss=0.2614, center_loss=0.0926, offset_loss=0.1397 2021-04-19 09:37:27 [INFO] [TRAIN] epoch=224, iter=83100/90000, loss=0.4846, lr=0.000005, batch_cost=0.4943, reader_cost=0.00145, ips=2.0230 samples/sec | ETA 00:56:50 2021-04-19 09:37:27 [INFO] [LOSS] loss=0.4846, semantic_loss=0.2298, center_loss=0.1032, offset_loss=0.1516 2021-04-19 09:38:17 [INFO] [TRAIN] epoch=224, iter=83200/90000, loss=0.5263, lr=0.000005, batch_cost=0.4935, reader_cost=0.00073, ips=2.0264 samples/sec | ETA 00:55:55 2021-04-19 09:38:17 [INFO] [LOSS] loss=0.5263, semantic_loss=0.2549, center_loss=0.1077, offset_loss=0.1637 2021-04-19 09:39:07 [INFO] [TRAIN] epoch=224, iter=83300/90000, loss=0.4509, lr=0.000005, batch_cost=0.4973, reader_cost=0.00055, ips=2.0107 samples/sec | ETA 00:55:32 2021-04-19 09:39:07 [INFO] [LOSS] loss=0.4509, semantic_loss=0.2631, center_loss=0.0859, offset_loss=0.1018 2021-04-19 09:39:59 [INFO] [TRAIN] epoch=225, iter=83400/90000, loss=0.5161, lr=0.000005, batch_cost=0.5238, reader_cost=0.03612, ips=1.9092 samples/sec | ETA 00:57:36 2021-04-19 09:39:59 [INFO] [LOSS] loss=0.5161, semantic_loss=0.2801, center_loss=0.1059, offset_loss=0.1301 2021-04-19 09:40:49 [INFO] [TRAIN] epoch=225, iter=83500/90000, loss=0.4884, lr=0.000005, batch_cost=0.4950, reader_cost=0.00140, ips=2.0203 samples/sec | ETA 00:53:37 2021-04-19 09:40:49 [INFO] [LOSS] loss=0.4884, semantic_loss=0.2775, center_loss=0.1029, offset_loss=0.1079 2021-04-19 09:41:38 [INFO] [TRAIN] epoch=225, iter=83600/90000, loss=0.5228, lr=0.000005, batch_cost=0.4966, reader_cost=0.00061, ips=2.0138 samples/sec | ETA 00:52:58 2021-04-19 09:41:38 [INFO] [LOSS] loss=0.5228, semantic_loss=0.2436, center_loss=0.1015, offset_loss=0.1777 2021-04-19 09:42:27 [INFO] [TRAIN] epoch=225, iter=83700/90000, loss=0.5309, lr=0.000005, batch_cost=0.4870, reader_cost=0.00034, ips=2.0536 samples/sec | ETA 00:51:07 2021-04-19 09:42:27 [INFO] [LOSS] loss=0.5309, semantic_loss=0.2696, center_loss=0.1108, offset_loss=0.1504 2021-04-19 09:43:20 [INFO] [TRAIN] epoch=226, iter=83800/90000, loss=0.4879, lr=0.000005, batch_cost=0.5311, reader_cost=0.04145, ips=1.8829 samples/sec | ETA 00:54:52 2021-04-19 09:43:20 [INFO] [LOSS] loss=0.4879, semantic_loss=0.2423, center_loss=0.1051, offset_loss=0.1405 2021-04-19 09:44:10 [INFO] [TRAIN] epoch=226, iter=83900/90000, loss=0.6590, lr=0.000004, batch_cost=0.4947, reader_cost=0.00103, ips=2.0215 samples/sec | ETA 00:50:17 2021-04-19 09:44:10 [INFO] [LOSS] loss=0.6590, semantic_loss=0.2554, center_loss=0.0830, offset_loss=0.3206 2021-04-19 09:44:59 [INFO] [TRAIN] epoch=226, iter=84000/90000, loss=0.5567, lr=0.000004, batch_cost=0.4928, reader_cost=0.00085, ips=2.0292 samples/sec | ETA 00:49:16 2021-04-19 09:44:59 [INFO] [LOSS] loss=0.5567, semantic_loss=0.2569, center_loss=0.0930, offset_loss=0.2068 2021-04-19 09:45:52 [INFO] [TRAIN] epoch=227, iter=84100/90000, loss=0.4802, lr=0.000004, batch_cost=0.5251, reader_cost=0.03619, ips=1.9044 samples/sec | ETA 00:51:38 2021-04-19 09:45:52 [INFO] [LOSS] loss=0.4802, semantic_loss=0.2858, center_loss=0.0935, offset_loss=0.1009 2021-04-19 09:46:42 [INFO] [TRAIN] epoch=227, iter=84200/90000, loss=0.4877, lr=0.000004, batch_cost=0.4947, reader_cost=0.00113, ips=2.0214 samples/sec | ETA 00:47:49 2021-04-19 09:46:42 [INFO] [LOSS] loss=0.4877, semantic_loss=0.2562, center_loss=0.1061, offset_loss=0.1255 2021-04-19 09:47:31 [INFO] [TRAIN] epoch=227, iter=84300/90000, loss=0.4564, lr=0.000004, batch_cost=0.4933, reader_cost=0.00070, ips=2.0273 samples/sec | ETA 00:46:51 2021-04-19 09:47:31 [INFO] [LOSS] loss=0.4564, semantic_loss=0.2510, center_loss=0.0968, offset_loss=0.1087 2021-04-19 09:48:21 [INFO] [TRAIN] epoch=227, iter=84400/90000, loss=0.5334, lr=0.000004, batch_cost=0.4965, reader_cost=0.00090, ips=2.0141 samples/sec | ETA 00:46:20 2021-04-19 09:48:21 [INFO] [LOSS] loss=0.5334, semantic_loss=0.2700, center_loss=0.1094, offset_loss=0.1540 2021-04-19 09:49:13 [INFO] [TRAIN] epoch=228, iter=84500/90000, loss=0.4862, lr=0.000004, batch_cost=0.5199, reader_cost=0.03332, ips=1.9236 samples/sec | ETA 00:47:39 2021-04-19 09:49:13 [INFO] [LOSS] loss=0.4862, semantic_loss=0.2626, center_loss=0.0955, offset_loss=0.1280 2021-04-19 09:50:03 [INFO] [TRAIN] epoch=228, iter=84600/90000, loss=0.4356, lr=0.000004, batch_cost=0.4945, reader_cost=0.00093, ips=2.0222 samples/sec | ETA 00:44:30 2021-04-19 09:50:03 [INFO] [LOSS] loss=0.4356, semantic_loss=0.2461, center_loss=0.0980, offset_loss=0.0915 2021-04-19 09:50:52 [INFO] [TRAIN] epoch=228, iter=84700/90000, loss=0.4575, lr=0.000004, batch_cost=0.4955, reader_cost=0.00054, ips=2.0182 samples/sec | ETA 00:43:46 2021-04-19 09:50:52 [INFO] [LOSS] loss=0.4575, semantic_loss=0.2297, center_loss=0.0967, offset_loss=0.1311 2021-04-19 09:51:42 [INFO] [TRAIN] epoch=228, iter=84800/90000, loss=0.7458, lr=0.000004, batch_cost=0.4958, reader_cost=0.00039, ips=2.0168 samples/sec | ETA 00:42:58 2021-04-19 09:51:42 [INFO] [LOSS] loss=0.7458, semantic_loss=0.2780, center_loss=0.0882, offset_loss=0.3796 2021-04-19 09:52:35 [INFO] [TRAIN] epoch=229, iter=84900/90000, loss=0.5310, lr=0.000004, batch_cost=0.5258, reader_cost=0.03470, ips=1.9020 samples/sec | ETA 00:44:41 2021-04-19 09:52:35 [INFO] [LOSS] loss=0.5310, semantic_loss=0.2495, center_loss=0.1175, offset_loss=0.1639 2021-04-19 09:53:24 [INFO] [TRAIN] epoch=229, iter=85000/90000, loss=0.5173, lr=0.000004, batch_cost=0.4934, reader_cost=0.00069, ips=2.0266 samples/sec | ETA 00:41:07 2021-04-19 09:53:24 [INFO] [LOSS] loss=0.5173, semantic_loss=0.2666, center_loss=0.1072, offset_loss=0.1435 2021-04-19 09:54:21 [INFO] [TRAIN] epoch=229, iter=85100/90000, loss=0.4733, lr=0.000004, batch_cost=0.4946, reader_cost=0.00080, ips=2.0218 samples/sec | ETA 00:40:23 2021-04-19 09:54:21 [INFO] [LOSS] loss=0.4733, semantic_loss=0.2467, center_loss=0.0852, offset_loss=0.1415 2021-04-19 09:55:14 [INFO] [TRAIN] epoch=230, iter=85200/90000, loss=0.5260, lr=0.000004, batch_cost=0.5268, reader_cost=0.03522, ips=1.8982 samples/sec | ETA 00:42:08 2021-04-19 09:55:14 [INFO] [LOSS] loss=0.5260, semantic_loss=0.2863, center_loss=0.1066, offset_loss=0.1330 2021-04-19 09:56:03 [INFO] [TRAIN] epoch=230, iter=85300/90000, loss=0.4926, lr=0.000004, batch_cost=0.4920, reader_cost=0.00070, ips=2.0326 samples/sec | ETA 00:38:32 2021-04-19 09:56:03 [INFO] [LOSS] loss=0.4926, semantic_loss=0.2594, center_loss=0.1200, offset_loss=0.1133 2021-04-19 09:56:53 [INFO] [TRAIN] epoch=230, iter=85400/90000, loss=0.3999, lr=0.000003, batch_cost=0.4936, reader_cost=0.00121, ips=2.0261 samples/sec | ETA 00:37:50 2021-04-19 09:56:53 [INFO] [LOSS] loss=0.3999, semantic_loss=0.2448, center_loss=0.0736, offset_loss=0.0816 2021-04-19 09:57:43 [INFO] [TRAIN] epoch=230, iter=85500/90000, loss=0.5072, lr=0.000003, batch_cost=0.4977, reader_cost=0.00088, ips=2.0093 samples/sec | ETA 00:37:19 2021-04-19 09:57:43 [INFO] [LOSS] loss=0.5072, semantic_loss=0.2588, center_loss=0.0926, offset_loss=0.1558 2021-04-19 09:58:35 [INFO] [TRAIN] epoch=231, iter=85600/90000, loss=0.4813, lr=0.000003, batch_cost=0.5239, reader_cost=0.03746, ips=1.9088 samples/sec | ETA 00:38:25 2021-04-19 09:58:35 [INFO] [LOSS] loss=0.4813, semantic_loss=0.2618, center_loss=0.0855, offset_loss=0.1340 2021-04-19 09:59:25 [INFO] [TRAIN] epoch=231, iter=85700/90000, loss=0.4583, lr=0.000003, batch_cost=0.4942, reader_cost=0.00152, ips=2.0235 samples/sec | ETA 00:35:25 2021-04-19 09:59:25 [INFO] [LOSS] loss=0.4583, semantic_loss=0.2380, center_loss=0.1026, offset_loss=0.1178 2021-04-19 10:00:14 [INFO] [TRAIN] epoch=231, iter=85800/90000, loss=0.4587, lr=0.000003, batch_cost=0.4944, reader_cost=0.00130, ips=2.0228 samples/sec | ETA 00:34:36 2021-04-19 10:00:14 [INFO] [LOSS] loss=0.4587, semantic_loss=0.2413, center_loss=0.0923, offset_loss=0.1252 2021-04-19 10:01:04 [INFO] [TRAIN] epoch=231, iter=85900/90000, loss=0.5144, lr=0.000003, batch_cost=0.4972, reader_cost=0.00111, ips=2.0111 samples/sec | ETA 00:33:58 2021-04-19 10:01:04 [INFO] [LOSS] loss=0.5144, semantic_loss=0.2583, center_loss=0.0886, offset_loss=0.1676 2021-04-19 10:01:57 [INFO] [TRAIN] epoch=232, iter=86000/90000, loss=0.5220, lr=0.000003, batch_cost=0.5246, reader_cost=0.03447, ips=1.9063 samples/sec | ETA 00:34:58 2021-04-19 10:01:57 [INFO] [LOSS] loss=0.5220, semantic_loss=0.2694, center_loss=0.0994, offset_loss=0.1533 2021-04-19 10:02:46 [INFO] [TRAIN] epoch=232, iter=86100/90000, loss=0.5237, lr=0.000003, batch_cost=0.4939, reader_cost=0.00097, ips=2.0248 samples/sec | ETA 00:32:06 2021-04-19 10:02:46 [INFO] [LOSS] loss=0.5237, semantic_loss=0.2632, center_loss=0.1034, offset_loss=0.1571 2021-04-19 10:03:36 [INFO] [TRAIN] epoch=232, iter=86200/90000, loss=0.4913, lr=0.000003, batch_cost=0.4949, reader_cost=0.00110, ips=2.0208 samples/sec | ETA 00:31:20 2021-04-19 10:03:36 [INFO] [LOSS] loss=0.4913, semantic_loss=0.2495, center_loss=0.1117, offset_loss=0.1301 2021-04-19 10:04:25 [INFO] [TRAIN] epoch=232, iter=86300/90000, loss=0.4600, lr=0.000003, batch_cost=0.4914, reader_cost=0.00069, ips=2.0351 samples/sec | ETA 00:30:18 2021-04-19 10:04:25 [INFO] [LOSS] loss=0.4600, semantic_loss=0.2694, center_loss=0.0903, offset_loss=0.1002 2021-04-19 10:05:18 [INFO] [TRAIN] epoch=233, iter=86400/90000, loss=0.5178, lr=0.000003, batch_cost=0.5284, reader_cost=0.03009, ips=1.8927 samples/sec | ETA 00:31:42 2021-04-19 10:05:18 [INFO] [LOSS] loss=0.5178, semantic_loss=0.2558, center_loss=0.1123, offset_loss=0.1497 2021-04-19 10:06:08 [INFO] [TRAIN] epoch=233, iter=86500/90000, loss=0.4548, lr=0.000003, batch_cost=0.4939, reader_cost=0.00062, ips=2.0246 samples/sec | ETA 00:28:48 2021-04-19 10:06:08 [INFO] [LOSS] loss=0.4548, semantic_loss=0.2360, center_loss=0.0906, offset_loss=0.1282 2021-04-19 10:06:57 [INFO] [TRAIN] epoch=233, iter=86600/90000, loss=0.4553, lr=0.000003, batch_cost=0.4944, reader_cost=0.00093, ips=2.0228 samples/sec | ETA 00:28:00 2021-04-19 10:06:57 [INFO] [LOSS] loss=0.4553, semantic_loss=0.2715, center_loss=0.0862, offset_loss=0.0975 2021-04-19 10:07:50 [INFO] [TRAIN] epoch=234, iter=86700/90000, loss=0.5844, lr=0.000003, batch_cost=0.5302, reader_cost=0.03657, ips=1.8860 samples/sec | ETA 00:29:09 2021-04-19 10:07:50 [INFO] [LOSS] loss=0.5844, semantic_loss=0.2876, center_loss=0.1126, offset_loss=0.1842 2021-04-19 10:08:40 [INFO] [TRAIN] epoch=234, iter=86800/90000, loss=0.4480, lr=0.000002, batch_cost=0.4918, reader_cost=0.00110, ips=2.0333 samples/sec | ETA 00:26:13 2021-04-19 10:08:40 [INFO] [LOSS] loss=0.4480, semantic_loss=0.2454, center_loss=0.0942, offset_loss=0.1085 2021-04-19 10:09:29 [INFO] [TRAIN] epoch=234, iter=86900/90000, loss=0.4601, lr=0.000002, batch_cost=0.4952, reader_cost=0.00091, ips=2.0195 samples/sec | ETA 00:25:35 2021-04-19 10:09:29 [INFO] [LOSS] loss=0.4601, semantic_loss=0.2514, center_loss=0.0900, offset_loss=0.1188 2021-04-19 10:10:19 [INFO] [TRAIN] epoch=234, iter=87000/90000, loss=0.4936, lr=0.000002, batch_cost=0.4963, reader_cost=0.00084, ips=2.0149 samples/sec | ETA 00:24:48 2021-04-19 10:10:19 [INFO] [LOSS] loss=0.4936, semantic_loss=0.2580, center_loss=0.1048, offset_loss=0.1308 2021-04-19 10:11:13 [INFO] [TRAIN] epoch=235, iter=87100/90000, loss=0.5311, lr=0.000002, batch_cost=0.5345, reader_cost=0.03239, ips=1.8711 samples/sec | ETA 00:25:49 2021-04-19 10:11:13 [INFO] [LOSS] loss=0.5311, semantic_loss=0.2956, center_loss=0.1077, offset_loss=0.1277 2021-04-19 10:12:02 [INFO] [TRAIN] epoch=235, iter=87200/90000, loss=0.4614, lr=0.000002, batch_cost=0.4909, reader_cost=0.00036, ips=2.0369 samples/sec | ETA 00:22:54 2021-04-19 10:12:02 [INFO] [LOSS] loss=0.4614, semantic_loss=0.2542, center_loss=0.1007, offset_loss=0.1065 2021-04-19 10:12:51 [INFO] [TRAIN] epoch=235, iter=87300/90000, loss=0.4164, lr=0.000002, batch_cost=0.4954, reader_cost=0.00068, ips=2.0185 samples/sec | ETA 00:22:17 2021-04-19 10:12:51 [INFO] [LOSS] loss=0.4164, semantic_loss=0.2248, center_loss=0.0864, offset_loss=0.1051 2021-04-19 10:13:41 [INFO] [TRAIN] epoch=235, iter=87400/90000, loss=0.5055, lr=0.000002, batch_cost=0.4976, reader_cost=0.00078, ips=2.0097 samples/sec | ETA 00:21:33 2021-04-19 10:13:41 [INFO] [LOSS] loss=0.5055, semantic_loss=0.2700, center_loss=0.0988, offset_loss=0.1367 2021-04-19 10:14:34 [INFO] [TRAIN] epoch=236, iter=87500/90000, loss=0.4976, lr=0.000002, batch_cost=0.5282, reader_cost=0.03628, ips=1.8930 samples/sec | ETA 00:22:00 2021-04-19 10:14:34 [INFO] [LOSS] loss=0.4976, semantic_loss=0.2467, center_loss=0.0979, offset_loss=0.1530 2021-04-19 10:15:24 [INFO] [TRAIN] epoch=236, iter=87600/90000, loss=0.4697, lr=0.000002, batch_cost=0.4954, reader_cost=0.00086, ips=2.0187 samples/sec | ETA 00:19:48 2021-04-19 10:15:24 [INFO] [LOSS] loss=0.4697, semantic_loss=0.2482, center_loss=0.0868, offset_loss=0.1347 2021-04-19 10:16:14 [INFO] [TRAIN] epoch=236, iter=87700/90000, loss=0.4599, lr=0.000002, batch_cost=0.4951, reader_cost=0.00067, ips=2.0197 samples/sec | ETA 00:18:58 2021-04-19 10:16:14 [INFO] [LOSS] loss=0.4599, semantic_loss=0.2461, center_loss=0.0948, offset_loss=0.1190 2021-04-19 10:17:07 [INFO] [TRAIN] epoch=237, iter=87800/90000, loss=0.5223, lr=0.000002, batch_cost=0.5305, reader_cost=0.04125, ips=1.8851 samples/sec | ETA 00:19:27 2021-04-19 10:17:07 [INFO] [LOSS] loss=0.5223, semantic_loss=0.2732, center_loss=0.0955, offset_loss=0.1536 2021-04-19 10:17:56 [INFO] [TRAIN] epoch=237, iter=87900/90000, loss=0.5043, lr=0.000002, batch_cost=0.4918, reader_cost=0.00083, ips=2.0332 samples/sec | ETA 00:17:12 2021-04-19 10:17:56 [INFO] [LOSS] loss=0.5043, semantic_loss=0.2623, center_loss=0.0914, offset_loss=0.1505 2021-04-19 10:18:46 [INFO] [TRAIN] epoch=237, iter=88000/90000, loss=0.7484, lr=0.000002, batch_cost=0.4955, reader_cost=0.00103, ips=2.0181 samples/sec | ETA 00:16:31 2021-04-19 10:18:46 [INFO] [LOSS] loss=0.7484, semantic_loss=0.2496, center_loss=0.0975, offset_loss=0.4013 2021-04-19 10:19:36 [INFO] [TRAIN] epoch=237, iter=88100/90000, loss=0.4525, lr=0.000002, batch_cost=0.5000, reader_cost=0.00074, ips=2.0000 samples/sec | ETA 00:15:50 2021-04-19 10:19:36 [INFO] [LOSS] loss=0.4525, semantic_loss=0.2627, center_loss=0.0977, offset_loss=0.0920 2021-04-19 10:20:29 [INFO] [TRAIN] epoch=238, iter=88200/90000, loss=0.5691, lr=0.000001, batch_cost=0.5345, reader_cost=0.03943, ips=1.8708 samples/sec | ETA 00:16:02 2021-04-19 10:20:29 [INFO] [LOSS] loss=0.5691, semantic_loss=0.2912, center_loss=0.1308, offset_loss=0.1472 2021-04-19 10:21:19 [INFO] [TRAIN] epoch=238, iter=88300/90000, loss=0.5465, lr=0.000001, batch_cost=0.4934, reader_cost=0.00074, ips=2.0268 samples/sec | ETA 00:13:58 2021-04-19 10:21:19 [INFO] [LOSS] loss=0.5465, semantic_loss=0.2626, center_loss=0.0909, offset_loss=0.1931 2021-04-19 10:22:09 [INFO] [TRAIN] epoch=238, iter=88400/90000, loss=0.7078, lr=0.000001, batch_cost=0.4957, reader_cost=0.00104, ips=2.0174 samples/sec | ETA 00:13:13 2021-04-19 10:22:09 [INFO] [LOSS] loss=0.7078, semantic_loss=0.2404, center_loss=0.0924, offset_loss=0.3750 2021-04-19 10:22:58 [INFO] [TRAIN] epoch=238, iter=88500/90000, loss=0.5490, lr=0.000001, batch_cost=0.4957, reader_cost=0.00056, ips=2.0174 samples/sec | ETA 00:12:23 2021-04-19 10:22:58 [INFO] [LOSS] loss=0.5490, semantic_loss=0.2740, center_loss=0.1088, offset_loss=0.1662 2021-04-19 10:23:51 [INFO] [TRAIN] epoch=239, iter=88600/90000, loss=0.5090, lr=0.000001, batch_cost=0.5251, reader_cost=0.03368, ips=1.9043 samples/sec | ETA 00:12:15 2021-04-19 10:23:51 [INFO] [LOSS] loss=0.5090, semantic_loss=0.2722, center_loss=0.0887, offset_loss=0.1482 2021-04-19 10:24:41 [INFO] [TRAIN] epoch=239, iter=88700/90000, loss=0.5827, lr=0.000001, batch_cost=0.4948, reader_cost=0.00088, ips=2.0210 samples/sec | ETA 00:10:43 2021-04-19 10:24:41 [INFO] [LOSS] loss=0.5827, semantic_loss=0.2838, center_loss=0.1216, offset_loss=0.1773 2021-04-19 10:25:30 [INFO] [TRAIN] epoch=239, iter=88800/90000, loss=0.4337, lr=0.000001, batch_cost=0.4960, reader_cost=0.00078, ips=2.0162 samples/sec | ETA 00:09:55 2021-04-19 10:25:30 [INFO] [LOSS] loss=0.4337, semantic_loss=0.2382, center_loss=0.0924, offset_loss=0.1032 2021-04-19 10:26:20 [INFO] [TRAIN] epoch=239, iter=88900/90000, loss=0.4958, lr=0.000001, batch_cost=0.4966, reader_cost=0.00074, ips=2.0135 samples/sec | ETA 00:09:06 2021-04-19 10:26:20 [INFO] [LOSS] loss=0.4958, semantic_loss=0.2757, center_loss=0.1046, offset_loss=0.1156 2021-04-19 10:27:13 [INFO] [TRAIN] epoch=240, iter=89000/90000, loss=0.4137, lr=0.000001, batch_cost=0.5236, reader_cost=0.03565, ips=1.9100 samples/sec | ETA 00:08:43 2021-04-19 10:27:13 [INFO] [LOSS] loss=0.4137, semantic_loss=0.2251, center_loss=0.0892, offset_loss=0.0994 2021-04-19 10:28:02 [INFO] [TRAIN] epoch=240, iter=89100/90000, loss=0.4839, lr=0.000001, batch_cost=0.4948, reader_cost=0.00048, ips=2.0211 samples/sec | ETA 00:07:25 2021-04-19 10:28:02 [INFO] [LOSS] loss=0.4839, semantic_loss=0.2727, center_loss=0.0957, offset_loss=0.1155 2021-04-19 10:28:52 [INFO] [TRAIN] epoch=240, iter=89200/90000, loss=0.5034, lr=0.000001, batch_cost=0.4950, reader_cost=0.00120, ips=2.0200 samples/sec | ETA 00:06:36 2021-04-19 10:28:52 [INFO] [LOSS] loss=0.5034, semantic_loss=0.2523, center_loss=0.0988, offset_loss=0.1522 2021-04-19 10:29:45 [INFO] [TRAIN] epoch=241, iter=89300/90000, loss=0.4755, lr=0.000001, batch_cost=0.5269, reader_cost=0.03477, ips=1.8978 samples/sec | ETA 00:06:08 2021-04-19 10:29:45 [INFO] [LOSS] loss=0.4755, semantic_loss=0.2656, center_loss=0.0830, offset_loss=0.1269 2021-04-19 10:30:34 [INFO] [TRAIN] epoch=241, iter=89400/90000, loss=0.4441, lr=0.000001, batch_cost=0.4960, reader_cost=0.00126, ips=2.0163 samples/sec | ETA 00:04:57 2021-04-19 10:30:34 [INFO] [LOSS] loss=0.4441, semantic_loss=0.2381, center_loss=0.1132, offset_loss=0.0928 2021-04-19 10:31:24 [INFO] [TRAIN] epoch=241, iter=89500/90000, loss=0.4757, lr=0.000000, batch_cost=0.4945, reader_cost=0.00054, ips=2.0224 samples/sec | ETA 00:04:07 2021-04-19 10:31:24 [INFO] [LOSS] loss=0.4757, semantic_loss=0.2453, center_loss=0.1016, offset_loss=0.1288 2021-04-19 10:32:14 [INFO] [TRAIN] epoch=241, iter=89600/90000, loss=0.5219, lr=0.000000, batch_cost=0.5007, reader_cost=0.00101, ips=1.9971 samples/sec | ETA 00:03:20 2021-04-19 10:32:14 [INFO] [LOSS] loss=0.5219, semantic_loss=0.2655, center_loss=0.1109, offset_loss=0.1455 2021-04-19 10:33:07 [INFO] [TRAIN] epoch=242, iter=89700/90000, loss=0.4842, lr=0.000000, batch_cost=0.5252, reader_cost=0.03241, ips=1.9039 samples/sec | ETA 00:02:37 2021-04-19 10:33:07 [INFO] [LOSS] loss=0.4842, semantic_loss=0.2818, center_loss=0.0842, offset_loss=0.1182 2021-04-19 10:33:56 [INFO] [TRAIN] epoch=242, iter=89800/90000, loss=0.5291, lr=0.000000, batch_cost=0.4921, reader_cost=0.00101, ips=2.0321 samples/sec | ETA 00:01:38 2021-04-19 10:33:56 [INFO] [LOSS] loss=0.5291, semantic_loss=0.2637, center_loss=0.1174, offset_loss=0.1479 2021-04-19 10:34:45 [INFO] [TRAIN] epoch=242, iter=89900/90000, loss=0.8363, lr=0.000000, batch_cost=0.4934, reader_cost=0.00079, ips=2.0269 samples/sec | ETA 00:00:49 2021-04-19 10:34:45 [INFO] [LOSS] loss=0.8363, semantic_loss=0.2308, center_loss=0.0892, offset_loss=0.5163 2021-04-19 10:35:36 [INFO] [TRAIN] epoch=242, iter=90000/90000, loss=0.5315, lr=0.000000, batch_cost=0.5009, reader_cost=0.00095, ips=1.9964 samples/sec | ETA 00:00:00 2021-04-19 10:35:36 [INFO] [LOSS] loss=0.5315, semantic_loss=0.2883, center_loss=0.0943, offset_loss=0.1490 '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: 286024073216 Total Params: 55396390