text
stringlengths
0
1.06k
[01/08 07:48:20] mr.utils.events INFO: eta: 0:05:31 iter: 1039 loss: 14988.102 total_loss: 14988.102 time: 0.2413 data_time: 0.0001 lr: 0.000100 max_mem: 4240M
[01/08 07:48:25] mr.utils.events INFO: eta: 0:05:26 iter: 1059 loss: 17364.371 total_loss: 17364.371 time: 0.2413 data_time: 0.0001 lr: 0.000100 max_mem: 4240M
[01/08 07:48:30] mr.utils.events INFO: eta: 0:05:21 iter: 1079 loss: 14381.812 total_loss: 14381.812 time: 0.2413 data_time: 0.0001 lr: 0.000100 max_mem: 4240M
[01/08 07:48:35] mr.utils.events INFO: eta: 0:05:16 iter: 1099 loss: 14260.652 total_loss: 14260.652 time: 0.2413 data_time: 0.0001 lr: 0.000100 max_mem: 4240M
[01/08 07:48:41] mr.utils.events INFO: eta: 0:05:12 iter: 1119 loss: 14124.476 total_loss: 14124.476 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4240M
[01/08 07:48:46] mr.utils.events INFO: eta: 0:05:07 iter: 1139 loss: 13414.080 total_loss: 13414.080 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4240M
[01/08 07:48:51] mr.utils.events INFO: eta: 0:05:02 iter: 1159 loss: 14458.338 total_loss: 14458.338 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4240M
[01/08 07:48:56] mr.utils.events INFO: eta: 0:04:57 iter: 1179 loss: 13799.362 total_loss: 13799.362 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4240M
[01/08 07:49:01] fvcore.common.checkpoint INFO: Saving checkpoint to /bmrNAS/people/arjun/results/meddlr/tests/basic/model_0001199.pth
[01/08 07:49:02] mr.data.datasets.register_mrco INFO: Loading /bmrNAS/people/arjun/code/meddlr/annotations/mridata_knee_2019/val.json takes 0.00 seconds
[01/08 07:49:02] mr.data.build INFO: Dropped 0 scans. 2 scans remaining
[01/08 07:49:02] mr.data.build INFO: Dropped references for 0/2 scans. 2 scans with reference remaining
[01/08 07:49:02] mr.evaluation.evaluator INFO: Start inference on 320 batches
[01/08 07:49:06] mr.evaluation.evaluator INFO: Inference done 11/320. 0.0246 s / img. ETA=0:00:48
[01/08 07:49:11] mr.evaluation.evaluator INFO: Inference done 43/320. 0.0227 s / img. ETA=0:00:43
[01/08 07:49:16] mr.evaluation.evaluator INFO: Inference done 75/320. 0.0224 s / img. ETA=0:00:38
[01/08 07:49:21] mr.evaluation.evaluator INFO: Inference done 107/320. 0.0224 s / img. ETA=0:00:33
[01/08 07:49:26] mr.evaluation.evaluator INFO: Inference done 139/320. 0.0224 s / img. ETA=0:00:28
[01/08 07:49:31] mr.evaluation.evaluator INFO: Inference done 171/320. 0.0223 s / img. ETA=0:00:23
[01/08 07:49:36] mr.evaluation.evaluator INFO: Inference done 203/320. 0.0223 s / img. ETA=0:00:18
[01/08 07:49:41] mr.evaluation.evaluator INFO: Inference done 235/320. 0.0223 s / img. ETA=0:00:13
[01/08 07:49:46] mr.evaluation.evaluator INFO: Inference done 267/320. 0.0223 s / img. ETA=0:00:08
[01/08 07:49:51] mr.evaluation.evaluator INFO: Inference done 299/320. 0.0223 s / img. ETA=0:00:03
[01/08 07:49:54] mr.evaluation.evaluator INFO: Total inference time: 0:00:49.547863 (0.157295 s / batch on 1 devices)
[01/08 07:49:54] mr.evaluation.evaluator INFO: Total inference pure compute time: 0:00:06 (0.022115 s / batch on 1 devices)
[01/08 07:50:04] mr.evaluation.scan_evaluator INFO: Structuring slices into volumes...
[01/08 07:50:04] mr.evaluation.scan_evaluator INFO: Structuring slices into volumes...
[01/08 07:50:08] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Slice metrics summary:
channel_0
--------------- --------------
val_nrmse 0.182 (0.041)
val_nrmse_mag 0.135 (0.029)
val_psnr 32.762 (2.957)
val_psnr_mag 35.311 (2.952)
val_ssim (Wang) 0.863 (0.078)
[01/08 07:50:08] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Scan metrics summary:
channel_0
-------------------- --------------
val_nrmse_mag_scan 0.127 (0.005)
val_nrmse_scan 0.170 (0.005)
val_psnr_mag_scan 43.202 (0.427)
val_psnr_scan 40.667 (0.561)
val_ssim (Wang)_scan 0.961 (0.005)
[01/08 07:50:08] mr.evaluation.evaluator INFO: Evaluation Time: 13.242378 s
[01/08 07:50:08] mr.engine.trainer INFO: Evaluation results for mridata_knee_2019_val in csv format:
[01/08 07:50:08] mr.evaluation.testing INFO: copypaste: val_nrmse,val_nrmse_mag,val_psnr,val_psnr_mag,val_ssim (Wang),val_nrmse_mag_scan,val_nrmse_scan,val_psnr_mag_scan,val_psnr_scan,val_ssim (Wang)_scan
[01/08 07:50:08] mr.evaluation.testing INFO: copypaste: 0.1817,0.1353,32.7618,35.3113,0.8626,0.1267,0.1695,43.2024,40.6668,0.9606
[01/08 07:50:08] mr.evaluation.testing INFO: Metrics (comma delimited):
val_nrmse,val_nrmse_mag,val_psnr,val_psnr_mag,val_ssim (Wang),val_nrmse_mag_scan,val_nrmse_scan,val_psnr_mag_scan,val_psnr_scan,val_ssim (Wang)_scan
0.1817,0.1353,32.7618,35.3113,0.8626,0.1267,0.1695,43.2024,40.6668,0.9606
[01/08 07:50:08] mr.utils.events INFO: eta: 0:03:48 iter: 1199 loss: 14033.812 total_loss: 14033.812 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:50:13] mr.utils.events INFO: eta: 0:03:43 iter: 1219 loss: 15478.925 total_loss: 15478.925 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:50:18] mr.utils.events INFO: eta: 0:03:38 iter: 1239 loss: 14415.258 total_loss: 14415.258 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:50:23] mr.utils.events INFO: eta: 0:03:33 iter: 1259 loss: 14165.776 total_loss: 14165.776 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:50:28] mr.utils.events INFO: eta: 0:03:28 iter: 1279 loss: 14173.212 total_loss: 14173.212 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:50:34] mr.utils.events INFO: eta: 0:03:24 iter: 1299 loss: 13085.434 total_loss: 13085.434 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:50:39] mr.utils.events INFO: eta: 0:03:19 iter: 1319 loss: 12723.986 total_loss: 12723.986 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:50:45] mr.utils.events INFO: eta: 0:03:14 iter: 1339 loss: 15378.066 total_loss: 15378.066 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:50:50] mr.utils.events INFO: eta: 0:03:09 iter: 1359 loss: 14171.920 total_loss: 14171.920 time: 0.2414 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:50:55] mr.utils.events INFO: eta: 0:03:04 iter: 1379 loss: 14608.114 total_loss: 14608.114 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4241M
[01/08 07:51:00] fvcore.common.checkpoint INFO: Saving checkpoint to /bmrNAS/people/arjun/results/meddlr/tests/basic/model_0001399.pth
[01/08 07:51:01] mr.data.datasets.register_mrco INFO: Loading /bmrNAS/people/arjun/code/meddlr/annotations/mridata_knee_2019/val.json takes 0.00 seconds
[01/08 07:51:01] mr.data.build INFO: Dropped 0 scans. 2 scans remaining
[01/08 07:51:01] mr.data.build INFO: Dropped references for 0/2 scans. 2 scans with reference remaining
[01/08 07:51:01] mr.evaluation.evaluator INFO: Start inference on 320 batches
[01/08 07:51:05] mr.evaluation.evaluator INFO: Inference done 11/320. 0.0218 s / img. ETA=0:00:48
[01/08 07:51:10] mr.evaluation.evaluator INFO: Inference done 43/320. 0.0218 s / img. ETA=0:00:43
[01/08 07:51:15] mr.evaluation.evaluator INFO: Inference done 75/320. 0.0218 s / img. ETA=0:00:38
[01/08 07:51:20] mr.evaluation.evaluator INFO: Inference done 107/320. 0.0219 s / img. ETA=0:00:33
[01/08 07:51:25] mr.evaluation.evaluator INFO: Inference done 139/320. 0.0219 s / img. ETA=0:00:28
[01/08 07:51:30] mr.evaluation.evaluator INFO: Inference done 171/320. 0.0218 s / img. ETA=0:00:23
[01/08 07:51:35] mr.evaluation.evaluator INFO: Inference done 203/320. 0.0218 s / img. ETA=0:00:18
[01/08 07:51:40] mr.evaluation.evaluator INFO: Inference done 235/320. 0.0218 s / img. ETA=0:00:13
[01/08 07:51:45] mr.evaluation.evaluator INFO: Inference done 267/320. 0.0218 s / img. ETA=0:00:08
[01/08 07:51:50] mr.evaluation.evaluator INFO: Inference done 299/320. 0.0218 s / img. ETA=0:00:03
[01/08 07:51:53] mr.evaluation.evaluator INFO: Total inference time: 0:00:49.483551 (0.157091 s / batch on 1 devices)
[01/08 07:51:53] mr.evaluation.evaluator INFO: Total inference pure compute time: 0:00:06 (0.021677 s / batch on 1 devices)
[01/08 07:52:03] mr.evaluation.scan_evaluator INFO: Structuring slices into volumes...
[01/08 07:52:03] mr.evaluation.scan_evaluator INFO: Structuring slices into volumes...
[01/08 07:52:06] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Slice metrics summary:
channel_0
--------------- --------------
val_nrmse 0.164 (0.045)
val_nrmse_mag 0.120 (0.034)
val_psnr 33.694 (3.086)
val_psnr_mag 36.480 (3.132)
val_ssim (Wang) 0.833 (0.078)
[01/08 07:52:06] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Scan metrics summary:
channel_0
-------------------- --------------
val_nrmse_mag_scan 0.110 (0.008)
val_nrmse_scan 0.151 (0.006)
val_psnr_mag_scan 44.465 (0.208)
val_psnr_scan 41.657 (0.464)
val_ssim (Wang)_scan 0.944 (0.010)
[01/08 07:52:06] mr.evaluation.evaluator INFO: Evaluation Time: 13.212838 s