飞浆测试日志
----------- Configuration Arguments ----------- MASK_ON: 1 anchor_sizes: [32, 64, 128, 256, 512] aspect_ratios: [0.5, 1.0, 2.0] batch_size_per_im: 512 class_num: 81 data_dir: coco30 dataset: coco2017 draw_threshold: 0.8 enable_ce: False freeze_model_save_dir: freeze_model im_per_batch: 1 image_path: dataset/coco/val2017 learning_rate: 0.01 log_window: 20 max_iter: 3000 max_size: 1333 model_save_dir: output/ nms_thresh: 0.5 padding_minibatch: False parallel: False pixel_means: [102.9801, 115.9465, 122.7717] pretrained_model: imagenet_resnet50_fusebn rpn_nms_thresh: 0.7 rpn_stride: [16.0, 16.0] scales: [800] score_thresh: 0.05 snapshot_stride: 10000 use_gpu: 1 use_profile: False use_pyreader: False variance: [1.0, 1.0, 1.0, 1.0] ------------------------------------------------ W0924 08:33:53.154363 447 device_context.cc:237] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 9.2, Runtime API Version: 9.0 W0924 08:33:53.159633 447 device_context.cc:245] device: 0, cuDNN Version: 7.3. Creating: coco2017 loading annotations into memory... Done (t=0.01s) creating index... index created! _add_gt_annotations took 0.007s Appending horizontally-flipped training examples... Loaded dataset: coco2017 60 roidb entries Filtered 0 roidb entries: 60 -> 60 train on coco2017 with 60 roidbs 2020-09-24 08:33:55.278096, iter: 0, lr: 0.00333, 'loss': 6.767, 'loss_cls': 4.367, 'loss_bbox': 0.266, 'loss_rpn_cls': 0.684, 'loss_rpn_bbox': 0.285, 'loss_mask': 1.165, time: 0.017 2020-09-24 08:34:11.975181, iter: 50, lr: 0.00400, 'loss': 1.941, 'loss_cls': 0.392, 'loss_bbox': 0.116, 'loss_rpn_cls': 0.388, 'loss_rpn_bbox': 0.229, 'loss_mask': 0.704, time: 0.334 2020-09-24 08:34:27.886392, iter: 100, lr: 0.00467, 'loss': 1.872, 'loss_cls': 0.459, 'loss_bbox': 0.116, 'loss_rpn_cls': 0.362, 'loss_rpn_bbox': 0.128, 'loss_mask': 0.655, time: 0.451 2020-09-24 08:34:44.891129, iter: 150, lr: 0.00533, 'loss': 1.974, 'loss_cls': 0.559, 'loss_bbox': 0.192, 'loss_rpn_cls': 0.423, 'loss_rpn_bbox': 0.221, 'loss_mask': 0.621, time: 0.324 2020-09-24 08:35:01.442434, iter: 200, lr: 0.00600, 'loss': 1.729, 'loss_cls': 0.44, 'loss_bbox': 0.118, 'loss_rpn_cls': 0.366, 'loss_rpn_bbox': 0.134, 'loss_mask': 0.656, time: 0.337 2020-09-24 08:35:17.942153, iter: 250, lr: 0.00667, 'loss': 1.753, 'loss_cls': 0.483, 'loss_bbox': 0.127, 'loss_rpn_cls': 0.344, 'loss_rpn_bbox': 0.132, 'loss_mask': 0.609, time: 0.339 2020-09-24 08:35:35.343191, iter: 300, lr: 0.00733, 'loss': 1.69, 'loss_cls': 0.411, 'loss_bbox': 0.119, 'loss_rpn_cls': 0.305, 'loss_rpn_bbox': 0.102, 'loss_mask': 0.624, time: 0.319 2020-09-24 08:35:53.152731, iter: 350, lr: 0.00800, 'loss': 1.808, 'loss_cls': 0.479, 'loss_bbox': 0.194, 'loss_rpn_cls': 0.227, 'loss_rpn_bbox': 0.174, 'loss_mask': 0.554, time: 0.479 2020-09-24 08:36:10.946375, iter: 400, lr: 0.00867, 'loss': 1.708, 'loss_cls': 0.518, 'loss_bbox': 0.175, 'loss_rpn_cls': 0.301, 'loss_rpn_bbox': 0.133, 'loss_mask': 0.567, time: 0.344 2020-09-24 08:36:28.794567, iter: 450, lr: 0.00933, 'loss': 1.626, 'loss_cls': 0.391, 'loss_bbox': 0.148, 'loss_rpn_cls': 0.285, 'loss_rpn_bbox': 0.079, 'loss_mask': 0.588, time: 0.364 2020-09-24 08:36:46.632116, iter: 500, lr: 0.01000, 'loss': 1.626, 'loss_cls': 0.492, 'loss_bbox': 0.162, 'loss_rpn_cls': 0.236, 'loss_rpn_bbox': 0.14, 'loss_mask': 0.527, time: 0.336 2020-09-24 08:37:04.517153, iter: 550, lr: 0.01000, 'loss': 1.61, 'loss_cls': 0.522, 'loss_bbox': 0.202, 'loss_rpn_cls': 0.237, 'loss_rpn_bbox': 0.123, 'loss_mask': 0.513, time: 0.349 2020-09-24 08:37:22.511315, iter: 600, lr: 0.01000, 'loss': 1.632, 'loss_cls': 0.529, 'loss_bbox': 0.214, 'loss_rpn_cls': 0.232, 'loss_rpn_bbox': 0.096, 'loss_mask': 0.527, time: 0.318 2020-09-24 08:37:40.284773, iter: 650, lr: 0.01000, 'loss': 1.742, 'loss_cls': 0.545, 'loss_bbox': 0.239, 'loss_rpn_cls': 0.207, 'loss_rpn_bbox': 0.142, 'loss_mask': 0.526, time: 0.365 2020-09-24 08:37:58.228054, iter: 700, lr: 0.01000, 'loss': 1.714, 'loss_cls': 0.614, 'loss_bbox': 0.24, 'loss_rpn_cls': 0.202, 'loss_rpn_bbox': 0.16, 'loss_mask': 0.541, time: 0.357 2020-09-24 08:38:16.355890, iter: 750, lr: 0.01000, 'loss': 1.895, 'loss_cls': 0.727, 'loss_bbox': 0.335, 'loss_rpn_cls': 0.174, 'loss_rpn_bbox': 0.137, 'loss_mask': 0.511, time: 0.359 2020-09-24 08:38:34.499911, iter: 800, lr: 0.01000, 'loss': 1.544, 'loss_cls': 0.542, 'loss_bbox': 0.257, 'loss_rpn_cls': 0.173, 'loss_rpn_bbox': 0.109, 'loss_mask': 0.491, time: 0.364 2020-09-24 08:38:52.584202, iter: 850, lr: 0.01000, 'loss': 1.422, 'loss_cls': 0.43, 'loss_bbox': 0.275, 'loss_rpn_cls': 0.153, 'loss_rpn_bbox': 0.079, 'loss_mask': 0.424, time: 0.351 2020-09-24 08:39:10.455090, iter: 900, lr: 0.01000, 'loss': 1.605, 'loss_cls': 0.545, 'loss_bbox': 0.321, 'loss_rpn_cls': 0.143, 'loss_rpn_bbox': 0.101, 'loss_mask': 0.451, time: 0.355 2020-09-24 08:39:28.424582, iter: 950, lr: 0.01000, 'loss': 1.624, 'loss_cls': 0.579, 'loss_bbox': 0.353, 'loss_rpn_cls': 0.142, 'loss_rpn_bbox': 0.076, 'loss_mask': 0.473, time: 0.357 2020-09-24 08:39:46.051659, iter: 1000, lr: 0.01000, 'loss': 1.235, 'loss_cls': 0.465, 'loss_bbox': 0.261, 'loss_rpn_cls': 0.082, 'loss_rpn_bbox': 0.074, 'loss_mask': 0.41, time: 0.352 2020-09-24 08:40:03.976767, iter: 1050, lr: 0.01000, 'loss': 1.249, 'loss_cls': 0.45, 'loss_bbox': 0.307, 'loss_rpn_cls': 0.079, 'loss_rpn_bbox': 0.06, 'loss_mask': 0.37, time: 0.358 2020-09-24 08:40:21.874165, iter: 1100, lr: 0.01000, 'loss': 1.565, 'loss_cls': 0.639, 'loss_bbox': 0.372, 'loss_rpn_cls': 0.113, 'loss_rpn_bbox': 0.066, 'loss_mask': 0.463, time: 0.363 2020-09-24 08:40:39.554604, iter: 1150, lr: 0.01000, 'loss': 1.22, 'loss_cls': 0.421, 'loss_bbox': 0.317, 'loss_rpn_cls': 0.077, 'loss_rpn_bbox': 0.076, 'loss_mask': 0.349, time: 0.368 2020-09-24 08:40:57.417578, iter: 1200, lr: 0.01000, 'loss': 1.486, 'loss_cls': 0.585, 'loss_bbox': 0.298, 'loss_rpn_cls': 0.099, 'loss_rpn_bbox': 0.058, 'loss_mask': 0.39, time: 0.355 2020-09-24 08:41:15.127133, iter: 1250, lr: 0.01000, 'loss': 1.434, 'loss_cls': 0.536, 'loss_bbox': 0.308, 'loss_rpn_cls': 0.082, 'loss_rpn_bbox': 0.086, 'loss_mask': 0.389, time: 0.347 2020-09-24 08:41:32.967730, iter: 1300, lr: 0.01000, 'loss': 1.458, 'loss_cls': 0.582, 'loss_bbox': 0.376, 'loss_rpn_cls': 0.066, 'loss_rpn_bbox': 0.071, 'loss_mask': 0.382, time: 0.352 2020-09-24 08:41:50.548665, iter: 1350, lr: 0.01000, 'loss': 1.023, 'loss_cls': 0.372, 'loss_bbox': 0.243, 'loss_rpn_cls': 0.055, 'loss_rpn_bbox': 0.057, 'loss_mask': 0.286, time: 0.337 2020-09-24 08:42:08.142527, iter: 1400, lr: 0.01000, 'loss': 1.064, 'loss_cls': 0.394, 'loss_bbox': 0.269, 'loss_rpn_cls': 0.058, 'loss_rpn_bbox': 0.061, 'loss_mask': 0.312, time: 0.361 2020-09-24 08:42:25.724010, iter: 1450, lr: 0.01000, 'loss': 1.182, 'loss_cls': 0.446, 'loss_bbox': 0.293, 'loss_rpn_cls': 0.064, 'loss_rpn_bbox': 0.069, 'loss_mask': 0.325, time: 0.344 2020-09-24 08:42:43.264335, iter: 1500, lr: 0.01000, 'loss': 1.222, 'loss_cls': 0.398, 'loss_bbox': 0.339, 'loss_rpn_cls': 0.055, 'loss_rpn_bbox': 0.048, 'loss_mask': 0.329, time: 0.325 2020-09-24 08:43:00.940032, iter: 1550, lr: 0.01000, 'loss': 1.169, 'loss_cls': 0.386, 'loss_bbox': 0.323, 'loss_rpn_cls': 0.048, 'loss_rpn_bbox': 0.051, 'loss_mask': 0.319, time: 0.342 2020-09-24 08:43:18.724287, iter: 1600, lr: 0.01000, 'loss': 1.146, 'loss_cls': 0.377, 'loss_bbox': 0.323, 'loss_rpn_cls': 0.05, 'loss_rpn_bbox': 0.036, 'loss_mask': 0.327, time: 0.364 2020-09-24 08:43:36.394810, iter: 1650, lr: 0.01000, 'loss': 1.221, 'loss_cls': 0.417, 'loss_bbox': 0.361, 'loss_rpn_cls': 0.051, 'loss_rpn_bbox': 0.077, 'loss_mask': 0.357, time: 0.349 2020-09-24 08:43:53.890714, iter: 1700, lr: 0.01000, 'loss': 1.097, 'loss_cls': 0.374, 'loss_bbox': 0.256, 'loss_rpn_cls': 0.052, 'loss_rpn_bbox': 0.042, 'loss_mask': 0.28, time: 0.341 2020-09-24 08:44:11.450522, iter: 1750, lr: 0.01000, 'loss': 1.21, 'loss_cls': 0.396, 'loss_bbox': 0.292, 'loss_rpn_cls': 0.048, 'loss_rpn_bbox': 0.079, 'loss_mask': 0.321, time: 0.357 2020-09-24 08:44:29.031365, iter: 1800, lr: 0.01000, 'loss': 0.838, 'loss_cls': 0.261, 'loss_bbox': 0.233, 'loss_rpn_cls': 0.033, 'loss_rpn_bbox': 0.055, 'loss_mask': 0.23, time: 0.345 2020-09-24 08:44:46.495400, iter: 1850, lr: 0.01000, 'loss': 0.887, 'loss_cls': 0.318, 'loss_bbox': 0.243, 'loss_rpn_cls': 0.033, 'loss_rpn_bbox': 0.041, 'loss_mask': 0.255, time: 0.353 2020-09-24 08:45:04.082444, iter: 1900, lr: 0.01000, 'loss': 0.99, 'loss_cls': 0.351, 'loss_bbox': 0.275, 'loss_rpn_cls': 0.027, 'loss_rpn_bbox': 0.039, 'loss_mask': 0.298, time: 0.334 2020-09-24 08:45:21.654515, iter: 1950, lr: 0.01000, 'loss': 1.008, 'loss_cls': 0.363, 'loss_bbox': 0.265, 'loss_rpn_cls': 0.037, 'loss_rpn_bbox': 0.046, 'loss_mask': 0.283, time: 0.351 2020-09-24 08:45:39.081204, iter: 2000, lr: 0.01000, 'loss': 0.898, 'loss_cls': 0.287, 'loss_bbox': 0.283, 'loss_rpn_cls': 0.033, 'loss_rpn_bbox': 0.039, 'loss_mask': 0.263, time: 0.358 2020-09-24 08:45:56.724422, iter: 2050, lr: 0.01000, 'loss': 0.862, 'loss_cls': 0.229, 'loss_bbox': 0.234, 'loss_rpn_cls': 0.028, 'loss_rpn_bbox': 0.029, 'loss_mask': 0.296, time: 0.349 2020-09-24 08:46:14.279525, iter: 2100, lr: 0.01000, 'loss': 0.931, 'loss_cls': 0.326, 'loss_bbox': 0.273, 'loss_rpn_cls': 0.029, 'loss_rpn_bbox': 0.045, 'loss_mask': 0.278, time: 0.363 2020-09-24 08:46:31.880817, iter: 2150, lr: 0.01000, 'loss': 0.918, 'loss_cls': 0.254, 'loss_bbox': 0.265, 'loss_rpn_cls': 0.037, 'loss_rpn_bbox': 0.05, 'loss_mask': 0.293, time: 0.340 2020-09-24 08:46:49.439249, iter: 2200, lr: 0.01000, 'loss': 0.896, 'loss_cls': 0.297, 'loss_bbox': 0.276, 'loss_rpn_cls': 0.031, 'loss_rpn_bbox': 0.035, 'loss_mask': 0.248, time: 0.348 2020-09-24 08:47:06.864158, iter: 2250, lr: 0.01000, 'loss': 0.84, 'loss_cls': 0.257, 'loss_bbox': 0.208, 'loss_rpn_cls': 0.034, 'loss_rpn_bbox': 0.037, 'loss_mask': 0.237, time: 0.350 2020-09-24 08:47:24.302922, iter: 2300, lr: 0.01000, 'loss': 0.691, 'loss_cls': 0.195, 'loss_bbox': 0.177, 'loss_rpn_cls': 0.025, 'loss_rpn_bbox': 0.044, 'loss_mask': 0.246, time: 0.358 2020-09-24 08:47:41.697441, iter: 2350, lr: 0.01000, 'loss': 0.678, 'loss_cls': 0.189, 'loss_bbox': 0.232, 'loss_rpn_cls': 0.019, 'loss_rpn_bbox': 0.04, 'loss_mask': 0.219, time: 0.341 2020-09-24 08:47:59.279332, iter: 2400, lr: 0.01000, 'loss': 0.747, 'loss_cls': 0.192, 'loss_bbox': 0.237, 'loss_rpn_cls': 0.026, 'loss_rpn_bbox': 0.034, 'loss_mask': 0.219, time: 0.349 2020-09-24 08:48:16.736787, iter: 2450, lr: 0.01000, 'loss': 0.612, 'loss_cls': 0.178, 'loss_bbox': 0.192, 'loss_rpn_cls': 0.015, 'loss_rpn_bbox': 0.03, 'loss_mask': 0.23, time: 0.359 2020-09-24 08:48:34.234305, iter: 2500, lr: 0.01000, 'loss': 0.555, 'loss_cls': 0.158, 'loss_bbox': 0.149, 'loss_rpn_cls': 0.016, 'loss_rpn_bbox': 0.02, 'loss_mask': 0.171, time: 0.339 2020-09-24 08:48:51.707827, iter: 2550, lr: 0.01000, 'loss': 0.587, 'loss_cls': 0.142, 'loss_bbox': 0.192, 'loss_rpn_cls': 0.021, 'loss_rpn_bbox': 0.038, 'loss_mask': 0.23, time: 0.356 2020-09-24 08:49:09.077950, iter: 2600, lr: 0.01000, 'loss': 0.566, 'loss_cls': 0.137, 'loss_bbox': 0.186, 'loss_rpn_cls': 0.015, 'loss_rpn_bbox': 0.022, 'loss_mask': 0.202, time: 0.332 2020-09-24 08:49:26.564700, iter: 2650, lr: 0.01000, 'loss': 0.507, 'loss_cls': 0.134, 'loss_bbox': 0.142, 'loss_rpn_cls': 0.011, 'loss_rpn_bbox': 0.027, 'loss_mask': 0.169, time: 0.332 2020-09-24 08:49:44.117975, iter: 2700, lr: 0.01000, 'loss': 0.75, 'loss_cls': 0.204, 'loss_bbox': 0.246, 'loss_rpn_cls': 0.019, 'loss_rpn_bbox': 0.03, 'loss_mask': 0.241, time: 0.353 2020-09-24 08:50:01.599832, iter: 2750, lr: 0.01000, 'loss': 0.552, 'loss_cls': 0.152, 'loss_bbox': 0.147, 'loss_rpn_cls': 0.018, 'loss_rpn_bbox': 0.036, 'loss_mask': 0.177, time: 0.348 2020-09-24 08:50:19.073621, iter: 2800, lr: 0.01000, 'loss': 0.598, 'loss_cls': 0.169, 'loss_bbox': 0.145, 'loss_rpn_cls': 0.017, 'loss_rpn_bbox': 0.02, 'loss_mask': 0.199, time: 0.351 2020-09-24 08:50:36.563157, iter: 2850, lr: 0.01000, 'loss': 0.685, 'loss_cls': 0.229, 'loss_bbox': 0.199, 'loss_rpn_cls': 0.018, 'loss_rpn_bbox': 0.027, 'loss_mask': 0.218, time: 0.352 2020-09-24 08:50:54.105322, iter: 2900, lr: 0.01000, 'loss': 0.645, 'loss_cls': 0.187, 'loss_bbox': 0.151, 'loss_rpn_cls': 0.014, 'loss_rpn_bbox': 0.035, 'loss_mask': 0.234, time: 0.363 2020-09-24 08:51:11.638857, iter: 2950, lr: 0.01000, 'loss': 0.463, 'loss_cls': 0.119, 'loss_bbox': 0.13, 'loss_rpn_cls': 0.015, 'loss_rpn_bbox': 0.03, 'loss_mask': 0.201, time: 0.345