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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_mari_metric_fogFiles: 333
Metrics: 13
Compare with:
absrel / median
0.3537
absrel / p90
0.6882
absrel / median
0.3527
absrel / p90
0.6867
rmse / median
4.2148
rmse / p90
16.7896
silog / mean
0.3807
silog / median
0.3918
silog / p90
1.0565
absrel / median
0.5173
absrel / p90
0.7936
rmse / median
23.1963
rmse / p90
37.8149
silog / mean
0.1736
silog / median
0.7221
silog / p90
1.5699
absrel / median
0.3902
absrel / p90
0.6911
rmse / median
5.8691
rmse / p90
15.9978
silog / mean
0.2868
silog / median
0.4707
silog / p90
1.1322
absrel / median
0.2492
absrel / p90
0.5617
rmse / median
1.7934
rmse / p90
4.3365
silog / mean
0.1569
silog / median
0.2508
silog / p90
0.5788
rmse / median
4.2371
rmse / p90
17.0381
silog / mean
0.3840
silog / median
0.3933
silog / p90
1.0615
image mean / absrel
0.4037
all / absrel
0.4029
all / delta1
0.2636
all / delta2
0.4965
all / delta3
0.6772
all / log10
0.2390
all / mae
7.1668
all / rmse
9.9546
all / rmse log
0.6427
all / silog
0.3807
all / sqrel
4.3964
image mean / delta1
0.2627
image mean / delta2
0.4950
image mean / delta3
0.6757
far / absrel
0.6457
far / delta1
0.0317
far / delta2
0.0976
far / delta3
0.2081
far / log10
0.5152
far / mae
28.4567
far / rmse
29.3438
far / rmse log
1.2074
far / silog
0.1736
far / sqrel
20.0406
image mean / log10
0.2400
image mean / mae
7.3310
mid / absrel
0.4377
mid / delta1
0.1978
mid / delta2
0.3903
mid / delta3
0.5740
mid / log10
0.2761
mid / mae
8.0435
mid / rmse
9.7299
mid / rmse log
0.6947
mid / silog
0.2868
mid / sqrel
4.8242
near / absrel
0.3103
near / delta1
0.4214
near / delta2
0.7632
near / delta3
0.9464
near / log10
0.1310
near / mae
2.3120
near / rmse
2.7276
near / rmse log
0.3379
near / silog
0.1569
near / sqrel
1.4502
image mean / rmse
10.4380
image mean / rmse log
0.6463
image mean / silog
0.3840
image mean / sqrel
4.5181
image median / absrel
0.3776
all / absrel
0.3736
all / delta1
0.3027
all / delta2
0.5531
all / delta3
0.7536
all / log10
0.2026
all / mae
6.7771
all / rmse
9.5355
all / rmse log
0.5641
all / silog
0.3713
all / sqrel
3.6882
image median / delta1
0.3026
image median / delta2
0.5504
image median / delta3
0.7468
far / absrel
0.6676
far / delta1
0.000e+0
far / delta2
0.000e+0
far / delta3
0.000e+0
far / log10
0.4818
far / mae
28.9940
far / rmse
29.6773
far / rmse log
1.1335
far / silog
0.1665
far / sqrel
19.7915
image median / log10
0.2026
image median / mae
6.8740
mid / absrel
0.4186
mid / delta1
0.1101
mid / delta2
0.3835
mid / delta3
0.6705
mid / log10
0.2453
mid / mae
7.6060
mid / rmse
9.2489
mid / rmse log
0.6296
mid / silog
0.2762
mid / sqrel
4.1992
near / absrel
0.2740
near / delta1
0.4082
near / delta2
0.8936
near / delta3
0.9976
near / log10
0.1179
near / mae
2.0351
near / rmse
2.3834
near / rmse log
0.3191
near / silog
0.1347
near / sqrel
0.7967
image median / rmse
9.8362
image median / rmse log
0.5641
image median / silog
0.3729
image median / sqrel
3.7591
pixel pool / absrel
0.3804
all / absrel
0.3795
all / delta1
0.3024
all / delta2
0.5549
all / delta3
0.7371
all / log10
0.2119
all / mae
6.8786
all / rmse
10.2724
all / rmse log
0.6283
all / silog
0.5212
all / sqrel
4.1439
pixel pool / delta1
0.3014
pixel pool / delta2
0.5532
pixel pool / delta3
0.7353
far / absrel
0.5098
far / delta1
0.0892
far / delta2
0.2664
far / delta3
0.4577
far / log10
0.3586
far / mae
23.7486
far / rmse
26.4215
far / rmse log
0.9767
far / silog
0.5403
far / sqrel
14.3147
pixel pool / log10
0.2131
pixel pool / mae
7.0882
mid / absrel
0.3965
mid / delta1
0.2542
mid / delta2
0.4775
mid / delta3
0.6671
mid / log10
0.2373
mid / mae
7.4247
mid / rmse
9.6941
mid / rmse log
0.6783
mid / silog
0.4897
mid / sqrel
4.3188
near / absrel
0.3157
near / delta1
0.4521
near / delta2
0.7845
near / delta3
0.9486
near / log10
0.1261
near / mae
2.2594
near / rmse
3.3575
near / rmse log
0.3703
near / silog
0.3702
near / sqrel
1.7008
pixel pool / rmse
11.1037
pixel pool / rmse log
0.6327
pixel pool / silog
0.5245
pixel pool / sqrel
4.2955