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val_nrmse_mag_scan 0.111 (0.006) |
val_nrmse_scan 0.163 (0.006) |
val_psnr_mag_scan 44.388 (0.314) |
val_psnr_scan 41.028 (0.479) |
val_ssim (Wang)_scan 0.964 (0.002) |
[01/08 07:46:10] mr.evaluation.evaluator INFO: Evaluation Time: 13.062179 s |
[01/08 07:46:10] mr.engine.trainer INFO: Evaluation results for mridata_knee_2019_val in csv format: |
[01/08 07:46:10] 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 07:46:10] mr.evaluation.testing INFO: copypaste: 0.1754,0.1200,33.0992,36.4262,0.8660,0.1105,0.1627,44.3880,41.0275,0.9637 |
[01/08 07:46:10] 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 |
0.1754,0.1200,33.0992,36.4262,0.8660,0.1105,0.1627,44.3880,41.0275,0.9637 |
[01/08 07:46:10] mr.utils.events INFO: eta: 0:07:32 iter: 799 loss: 15171.014 total_loss: 15171.014 time: 0.2411 data_time: 0.0001 lr: 0.000080 max_mem: 4238M |
[01/08 07:46:16] mr.utils.events INFO: eta: 0:07:27 iter: 819 loss: 14583.270 total_loss: 14583.270 time: 0.2411 data_time: 0.0001 lr: 0.000082 max_mem: 4238M |
[01/08 07:46:21] mr.utils.events INFO: eta: 0:07:23 iter: 839 loss: 14240.295 total_loss: 14240.295 time: 0.2411 data_time: 0.0001 lr: 0.000084 max_mem: 4238M |
[01/08 07:46:26] mr.utils.events INFO: eta: 0:07:18 iter: 859 loss: 15098.030 total_loss: 15098.030 time: 0.2411 data_time: 0.0001 lr: 0.000086 max_mem: 4238M |
[01/08 07:46:31] mr.utils.events INFO: eta: 0:07:13 iter: 879 loss: 15402.230 total_loss: 15402.230 time: 0.2412 data_time: 0.0001 lr: 0.000088 max_mem: 4238M |
[01/08 07:46:36] mr.utils.events INFO: eta: 0:07:08 iter: 899 loss: 14225.305 total_loss: 14225.305 time: 0.2412 data_time: 0.0001 lr: 0.000090 max_mem: 4238M |
[01/08 07:46:43] mr.utils.events INFO: eta: 0:07:04 iter: 919 loss: 13569.448 total_loss: 13569.448 time: 0.2412 data_time: 0.0001 lr: 0.000092 max_mem: 4238M |
[01/08 07:46:48] mr.utils.events INFO: eta: 0:06:59 iter: 939 loss: 14107.779 total_loss: 14107.779 time: 0.2412 data_time: 0.0001 lr: 0.000094 max_mem: 4238M |
[01/08 07:46:53] mr.utils.events INFO: eta: 0:06:54 iter: 959 loss: 14675.758 total_loss: 14675.758 time: 0.2413 data_time: 0.0001 lr: 0.000096 max_mem: 4238M |
[01/08 07:46:58] mr.utils.events INFO: eta: 0:06:50 iter: 979 loss: 14544.494 total_loss: 14544.494 time: 0.2413 data_time: 0.0001 lr: 0.000098 max_mem: 4238M |
[01/08 07:47:03] fvcore.common.checkpoint INFO: Saving checkpoint to /bmrNAS/people/arjun/results/meddlr/tests/basic/model_0000999.pth |
[01/08 07:47:04] mr.data.datasets.register_mrco INFO: Loading /bmrNAS/people/arjun/code/meddlr/annotations/mridata_knee_2019/val.json takes 0.00 seconds |
[01/08 07:47:04] mr.data.build INFO: Dropped 0 scans. 2 scans remaining |
[01/08 07:47:04] mr.data.build INFO: Dropped references for 0/2 scans. 2 scans with reference remaining |
[01/08 07:47:04] mr.evaluation.evaluator INFO: Start inference on 320 batches |
[01/08 07:47:08] mr.evaluation.evaluator INFO: Inference done 11/320. 0.0250 s / img. ETA=0:00:48 |
[01/08 07:47:13] mr.evaluation.evaluator INFO: Inference done 43/320. 0.0227 s / img. ETA=0:00:43 |
[01/08 07:47:18] mr.evaluation.evaluator INFO: Inference done 75/320. 0.0225 s / img. ETA=0:00:38 |
[01/08 07:47:23] mr.evaluation.evaluator INFO: Inference done 107/320. 0.0225 s / img. ETA=0:00:33 |
[01/08 07:47:28] mr.evaluation.evaluator INFO: Inference done 139/320. 0.0224 s / img. ETA=0:00:28 |
[01/08 07:47:33] mr.evaluation.evaluator INFO: Inference done 171/320. 0.0224 s / img. ETA=0:00:23 |
[01/08 07:47:38] mr.evaluation.evaluator INFO: Inference done 203/320. 0.0223 s / img. ETA=0:00:18 |
[01/08 07:47:43] mr.evaluation.evaluator INFO: Inference done 235/320. 0.0223 s / img. ETA=0:00:13 |
[01/08 07:47:48] mr.evaluation.evaluator INFO: Inference done 267/320. 0.0223 s / img. ETA=0:00:08 |
[01/08 07:47:53] mr.evaluation.evaluator INFO: Inference done 299/320. 0.0223 s / img. ETA=0:00:03 |
[01/08 07:47:56] mr.evaluation.evaluator INFO: Total inference time: 0:00:49.544317 (0.157284 s / batch on 1 devices) |
[01/08 07:47:56] mr.evaluation.evaluator INFO: Total inference pure compute time: 0:00:06 (0.022172 s / batch on 1 devices) |
[01/08 07:48:06] mr.evaluation.scan_evaluator INFO: Structuring slices into volumes... |
[01/08 07:48:06] mr.evaluation.scan_evaluator INFO: Structuring slices into volumes... |
[01/08 07:48:09] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Slice metrics summary: |
channel_0 |
--------------- -------------- |
val_nrmse 0.175 (0.042) |
val_nrmse_mag 0.138 (0.030) |
val_psnr 33.089 (3.029) |
val_psnr_mag 35.133 (2.998) |
val_ssim (Wang) 0.810 (0.075) |
[01/08 07:48:09] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Scan metrics summary: |
channel_0 |
-------------------- -------------- |
val_nrmse_mag_scan 0.129 (0.006) |
val_nrmse_scan 0.163 (0.005) |
val_psnr_mag_scan 43.045 (0.422) |
val_psnr_scan 41.020 (0.545) |
val_ssim (Wang)_scan 0.932 (0.011) |
[01/08 07:48:09] mr.evaluation.evaluator INFO: Evaluation Time: 13.296574 s |
[01/08 07:48:09] mr.engine.trainer INFO: Evaluation results for mridata_knee_2019_val in csv format: |
[01/08 07:48:09] 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 07:48:09] mr.evaluation.testing INFO: copypaste: 0.1755,0.1383,33.0890,35.1330,0.8102,0.1290,0.1628,43.0453,41.0200,0.9319 |
[01/08 07:48:09] 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 |
0.1755,0.1383,33.0890,35.1330,0.8102,0.1290,0.1628,43.0453,41.0200,0.9319 |
[01/08 07:48:09] mr.utils.events INFO: eta: 0:05:40 iter: 999 loss: 14674.882 total_loss: 14674.882 time: 0.2413 data_time: 0.0001 lr: 0.000100 max_mem: 4240M |
[01/08 07:48:15] mr.utils.events INFO: eta: 0:05:35 iter: 1019 loss: 14348.898 total_loss: 14348.898 time: 0.2413 data_time: 0.0001 lr: 0.000100 max_mem: 4240M |
[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) |