arjundd/meddlr-data · Datasets at Hugging Face

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[01/08 07:52:06] mr.engine.trainer INFO: Evaluation results for mridata_knee_2019_val in csv format:
[01/08 07:52:06] 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 07:52:06] mr.evaluation.testing INFO: copypaste: 0.1645,0.1196,33.6935,36.4799,0.8328,0.1096,0.1513,44.4653,41.6570,0.9443
[01/08 07:52:06] 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
0.1645,0.1196,33.6935,36.4799,0.8328,0.1096,0.1513,44.4653,41.6570,0.9443
[01/08 07:52:06] mr.utils.events INFO: eta: 0:01:54 iter: 1399 loss: 14015.138 total_loss: 14015.138 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:12] mr.utils.events INFO: eta: 0:01:49 iter: 1419 loss: 14504.874 total_loss: 14504.874 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:17] mr.utils.events INFO: eta: 0:01:44 iter: 1439 loss: 14570.553 total_loss: 14570.553 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:22] mr.utils.events INFO: eta: 0:01:39 iter: 1459 loss: 14148.630 total_loss: 14148.630 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:27] mr.utils.events INFO: eta: 0:01:34 iter: 1479 loss: 14428.591 total_loss: 14428.591 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:32] mr.utils.events INFO: eta: 0:01:30 iter: 1499 loss: 13502.969 total_loss: 13502.969 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:38] mr.utils.events INFO: eta: 0:01:25 iter: 1519 loss: 16368.226 total_loss: 16368.226 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:43] mr.utils.events INFO: eta: 0:01:20 iter: 1539 loss: 14534.019 total_loss: 14534.019 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:48] mr.utils.events INFO: eta: 0:01:15 iter: 1559 loss: 14640.928 total_loss: 14640.928 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:53] mr.utils.events INFO: eta: 0:01:10 iter: 1579 loss: 13991.085 total_loss: 13991.085 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M
[01/08 07:52:58] fvcore.common.checkpoint INFO: Saving checkpoint to /bmrNAS/people/arjun/results/meddlr/tests/basic/model_0001599.pth
[01/08 07:52:59] fvcore.common.checkpoint INFO: Saving checkpoint to /bmrNAS/people/arjun/results/meddlr/tests/basic/model_final.pth
[01/08 07:52:59] mr.data.datasets.register_mrco INFO: Loading /bmrNAS/people/arjun/code/meddlr/annotations/mridata_knee_2019/val.json takes 0.00 seconds
[01/08 07:52:59] mr.data.build INFO: Dropped 0 scans. 2 scans remaining
[01/08 07:52:59] mr.data.build INFO: Dropped references for 0/2 scans. 2 scans with reference remaining
[01/08 07:52:59] mr.evaluation.evaluator INFO: Start inference on 320 batches
[01/08 07:53:03] mr.evaluation.evaluator INFO: Inference done 11/320. 0.0260 s / img. ETA=0:00:48
[01/08 07:53:08] mr.evaluation.evaluator INFO: Inference done 43/320. 0.0230 s / img. ETA=0:00:43
[01/08 07:53:13] mr.evaluation.evaluator INFO: Inference done 75/320. 0.0228 s / img. ETA=0:00:38
[01/08 07:53:18] mr.evaluation.evaluator INFO: Inference done 107/320. 0.0227 s / img. ETA=0:00:33
[01/08 07:53:23] mr.evaluation.evaluator INFO: Inference done 139/320. 0.0227 s / img. ETA=0:00:28
[01/08 07:53:28] mr.evaluation.evaluator INFO: Inference done 171/320. 0.0226 s / img. ETA=0:00:23
[01/08 07:53:33] mr.evaluation.evaluator INFO: Inference done 203/320. 0.0226 s / img. ETA=0:00:18
[01/08 07:53:38] mr.evaluation.evaluator INFO: Inference done 235/320. 0.0226 s / img. ETA=0:00:13
[01/08 07:53:43] mr.evaluation.evaluator INFO: Inference done 267/320. 0.0225 s / img. ETA=0:00:08
[01/08 07:53:48] mr.evaluation.evaluator INFO: Inference done 299/320. 0.0225 s / img. ETA=0:00:03
[01/08 07:53:52] mr.evaluation.evaluator INFO: Total inference time: 0:00:49.495082 (0.157127 s / batch on 1 devices)
[01/08 07:53:52] mr.evaluation.evaluator INFO: Total inference pure compute time: 0:00:07 (0.022384 s / batch on 1 devices)
[01/08 07:54:01] mr.evaluation.scan_evaluator INFO: Structuring slices into volumes...
[01/08 07:54:01] mr.evaluation.scan_evaluator INFO: Structuring slices into volumes...
[01/08 07:54:05] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Slice metrics summary:
channel_0
--------------- --------------
val_nrmse 0.189 (0.041)
val_nrmse_mag 0.117 (0.032)
val_psnr 32.410 (2.903)
val_psnr_mag 36.686 (3.132)
val_ssim (Wang) 0.858 (0.081)

[01/08 07:54:05] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Scan metrics summary:
channel_0
-------------------- --------------
val_nrmse_mag_scan 0.107 (0.005)
val_nrmse_scan 0.177 (0.004)
val_psnr_mag_scan 44.659 (0.393)
val_psnr_scan 40.292 (0.600)
val_ssim (Wang)_scan 0.959 (0.005)

[01/08 07:54:05] mr.evaluation.evaluator INFO: Evaluation Time: 13.055382 s
[01/08 07:54:05] mr.engine.trainer INFO: Evaluation results for mridata_knee_2019_val in csv format:
[01/08 07:54:05] 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 07:54:05] mr.evaluation.testing INFO: copypaste: 0.1889,0.1167,32.4100,36.6860,0.8582,0.1071,0.1770,44.6590,40.2923,0.9595
[01/08 07:54:05] 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
0.1889,0.1167,32.4100,36.6860,0.8582,0.1071,0.1770,44.6590,40.2923,0.9595
[01/08 07:54:05] mr.utils.events INFO: eta: 0:00:00 iter: 1599 loss: 13840.166 total_loss: 13840.166 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4245M
[01/08 07:54:05] mr.engine.hooks INFO: Overall training speed: 1597 iterations in 0:06:25 (0.2417 s / it)
[01/08 07:54:05] mr.engine.hooks INFO: Total training time: 0:15:56 (0:09:30 on hooks)

[01/08 07:52:06] mr.engine.trainer INFO: Evaluation results for mridata_knee_2019_val in csv format:

[01/08 07:52:06] 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 07:52:06] mr.evaluation.testing INFO: copypaste: 0.1645,0.1196,33.6935,36.4799,0.8328,0.1096,0.1513,44.4653,41.6570,0.9443

[01/08 07:52:06] 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

0.1645,0.1196,33.6935,36.4799,0.8328,0.1096,0.1513,44.4653,41.6570,0.9443

[01/08 07:52:06] mr.utils.events INFO: eta: 0:01:54 iter: 1399 loss: 14015.138 total_loss: 14015.138 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:12] mr.utils.events INFO: eta: 0:01:49 iter: 1419 loss: 14504.874 total_loss: 14504.874 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:17] mr.utils.events INFO: eta: 0:01:44 iter: 1439 loss: 14570.553 total_loss: 14570.553 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:22] mr.utils.events INFO: eta: 0:01:39 iter: 1459 loss: 14148.630 total_loss: 14148.630 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:27] mr.utils.events INFO: eta: 0:01:34 iter: 1479 loss: 14428.591 total_loss: 14428.591 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:32] mr.utils.events INFO: eta: 0:01:30 iter: 1499 loss: 13502.969 total_loss: 13502.969 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:38] mr.utils.events INFO: eta: 0:01:25 iter: 1519 loss: 16368.226 total_loss: 16368.226 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:43] mr.utils.events INFO: eta: 0:01:20 iter: 1539 loss: 14534.019 total_loss: 14534.019 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:48] mr.utils.events INFO: eta: 0:01:15 iter: 1559 loss: 14640.928 total_loss: 14640.928 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:53] mr.utils.events INFO: eta: 0:01:10 iter: 1579 loss: 13991.085 total_loss: 13991.085 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4243M

[01/08 07:52:58] fvcore.common.checkpoint INFO: Saving checkpoint to /bmrNAS/people/arjun/results/meddlr/tests/basic/model_0001599.pth

[01/08 07:52:59] fvcore.common.checkpoint INFO: Saving checkpoint to /bmrNAS/people/arjun/results/meddlr/tests/basic/model_final.pth

[01/08 07:52:59] mr.data.datasets.register_mrco INFO: Loading /bmrNAS/people/arjun/code/meddlr/annotations/mridata_knee_2019/val.json takes 0.00 seconds

[01/08 07:52:59] mr.data.build INFO: Dropped 0 scans. 2 scans remaining

[01/08 07:52:59] mr.data.build INFO: Dropped references for 0/2 scans. 2 scans with reference remaining

[01/08 07:52:59] mr.evaluation.evaluator INFO: Start inference on 320 batches

[01/08 07:53:03] mr.evaluation.evaluator INFO: Inference done 11/320. 0.0260 s / img. ETA=0:00:48

[01/08 07:53:08] mr.evaluation.evaluator INFO: Inference done 43/320. 0.0230 s / img. ETA=0:00:43

[01/08 07:53:13] mr.evaluation.evaluator INFO: Inference done 75/320. 0.0228 s / img. ETA=0:00:38

[01/08 07:53:18] mr.evaluation.evaluator INFO: Inference done 107/320. 0.0227 s / img. ETA=0:00:33

[01/08 07:53:23] mr.evaluation.evaluator INFO: Inference done 139/320. 0.0227 s / img. ETA=0:00:28

[01/08 07:53:28] mr.evaluation.evaluator INFO: Inference done 171/320. 0.0226 s / img. ETA=0:00:23

[01/08 07:53:33] mr.evaluation.evaluator INFO: Inference done 203/320. 0.0226 s / img. ETA=0:00:18

[01/08 07:53:38] mr.evaluation.evaluator INFO: Inference done 235/320. 0.0226 s / img. ETA=0:00:13

[01/08 07:53:43] mr.evaluation.evaluator INFO: Inference done 267/320. 0.0225 s / img. ETA=0:00:08

[01/08 07:53:48] mr.evaluation.evaluator INFO: Inference done 299/320. 0.0225 s / img. ETA=0:00:03

[01/08 07:53:52] mr.evaluation.evaluator INFO: Total inference time: 0:00:49.495082 (0.157127 s / batch on 1 devices)

[01/08 07:53:52] mr.evaluation.evaluator INFO: Total inference pure compute time: 0:00:07 (0.022384 s / batch on 1 devices)

[01/08 07:54:01] mr.evaluation.scan_evaluator INFO: Structuring slices into volumes...

[01/08 07:54:05] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Slice metrics summary:

channel_0

--------------- --------------

val_nrmse 0.189 (0.041)

val_nrmse_mag 0.117 (0.032)

val_psnr 32.410 (2.903)

val_psnr_mag 36.686 (3.132)

val_ssim (Wang) 0.858 (0.081)

[01/08 07:54:05] mr.evaluation.recon_evaluation INFO: [ReconEvaluator] Scan metrics summary:

channel_0

-------------------- --------------

val_nrmse_mag_scan 0.107 (0.005)

val_nrmse_scan 0.177 (0.004)

val_psnr_mag_scan 44.659 (0.393)

val_psnr_scan 40.292 (0.600)

val_ssim (Wang)_scan 0.959 (0.005)

[01/08 07:54:05] mr.evaluation.evaluator INFO: Evaluation Time: 13.055382 s

[01/08 07:54:05] mr.engine.trainer INFO: Evaluation results for mridata_knee_2019_val in csv format:

[01/08 07:54:05] 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 07:54:05] mr.evaluation.testing INFO: copypaste: 0.1889,0.1167,32.4100,36.6860,0.8582,0.1071,0.1770,44.6590,40.2923,0.9595

[01/08 07:54:05] 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

0.1889,0.1167,32.4100,36.6860,0.8582,0.1071,0.1770,44.6590,40.2923,0.9595

[01/08 07:54:05] mr.utils.events INFO: eta: 0:00:00 iter: 1599 loss: 13840.166 total_loss: 13840.166 time: 0.2415 data_time: 0.0001 lr: 0.000100 max_mem: 4245M

[01/08 07:54:05] mr.engine.hooks INFO: Overall training speed: 1597 iterations in 0:06:25 (0.2417 s / it)

[01/08 07:54:05] mr.engine.hooks INFO: Total training time: 0:15:56 (0:09:30 on hooks)