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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_muses_final_2Files: 333
Metrics: 14
Compare with:
absrel / median
0.2826
absrel / p90
0.6649
absrel / median
0.2817
absrel / p90
0.6646
rmse / median
3.3785
rmse / p90
11.1525
silog / mean
0.3353
silog / median
0.2679
silog / p90
0.5828
absrel / median
0.2910
absrel / p90
0.5288
rmse / median
12.9539
rmse / p90
26.9801
silog / mean
0.2119
silog / median
0.3394
silog / p90
0.7408
absrel / median
0.2183
absrel / p90
0.5466
rmse / median
3.3427
rmse / p90
10.3246
silog / mean
0.2878
silog / median
0.2135
silog / p90
0.5218
absrel / median
0.4195
absrel / p90
0.9466
rmse / median
3.1196
rmse / p90
6.4900
silog / mean
0.1758
silog / median
0.3509
silog / p90
0.6661
rmse / median
3.3896
rmse / p90
11.3776
silog / mean
0.3385
silog / median
0.2687
silog / p90
0.5883
image mean / absrel
0.3955
all / absrel
0.3950
all / delta1
0.3902
all / delta2
0.7731
all / delta3
0.9216
all / log10
0.1402
all / mae
5.2395
all / rmse
7.5531
all / rmse log
0.3970
all / silog
0.3353
all / sqrel
4.5512
image mean / delta1
0.3892
image mean / delta2
0.7711
image mean / delta3
0.9199
far / absrel
0.3236
far / delta1
0.2978
far / delta2
0.6217
far / delta3
0.8117
far / log10
0.1849
far / mae
14.5514
far / rmse
16.2150
far / rmse log
0.4729
far / silog
0.2119
far / sqrel
6.4767
image mean / log10
0.1409
image mean / mae
5.3786
mid / absrel
0.2986
mid / delta1
0.5016
mid / delta2
0.8350
mid / delta3
0.9435
mid / log10
0.1174
mid / mae
4.9595
mid / rmse
6.9808
mid / rmse log
0.3375
mid / silog
0.2878
mid / sqrel
3.1372
near / absrel
0.5795
near / delta1
0.1533
near / delta2
0.6949
near / delta3
0.9084
near / log10
0.1774
near / mae
4.1000
near / rmse
5.0800
near / rmse log
0.4511
near / silog
0.1758
near / sqrel
6.1160
image mean / rmse
7.9731
image mean / rmse log
0.3991
image mean / silog
0.3385
image mean / sqrel
4.6297
image median / absrel
0.3483
all / absrel
0.3469
all / delta1
0.3945
all / delta2
0.8119
all / delta3
0.9517
all / log10
0.1318
all / mae
5.0208
all / rmse
7.1079
all / rmse log
0.3722
all / silog
0.3235
all / sqrel
2.8109
image median / delta1
0.3937
image median / delta2
0.8068
image median / delta3
0.9511
far / absrel
0.3006
far / delta1
0.2345
far / delta2
0.7032
far / delta3
0.9437
far / log10
0.1595
far / mae
13.2349
far / rmse
14.7776
far / rmse log
0.4139
far / silog
0.2088
far / sqrel
4.7524
image median / log10
0.1325
image median / mae
5.0533
mid / absrel
0.2742
mid / delta1
0.5236
mid / delta2
0.8715
mid / delta3
0.9689
mid / log10
0.1089
mid / mae
4.6042
mid / rmse
6.3875
mid / rmse log
0.3165
mid / silog
0.2773
mid / sqrel
2.1929
near / absrel
0.5006
near / delta1
0.0541
near / delta2
0.7869
near / delta3
0.9738
near / log10
0.1669
near / mae
3.7583
near / rmse
4.3658
near / rmse log
0.4252
near / silog
0.1388
near / sqrel
2.5582
image median / rmse
7.3353
image median / rmse log
0.3741
image median / silog
0.3266
image median / sqrel
2.8957
pixel pool / absrel
0.3802
all / absrel
0.3797
all / delta1
0.4093
all / delta2
0.8012
all / delta3
0.9312
all / log10
0.1343
all / mae
5.1708
all / rmse
8.0504
all / rmse log
0.3987
all / silog
0.3755
all / sqrel
4.5827
pixel pool / delta1
0.4078
pixel pool / delta2
0.7985
pixel pool / delta3
0.9291
far / absrel
0.2982
far / delta1
0.3120
far / delta2
0.6745
far / delta3
0.8672
far / log10
0.1651
far / mae
14.3481
far / rmse
17.2435
far / rmse log
0.4638
far / silog
0.3018
far / sqrel
5.7696
pixel pool / log10
0.1351
pixel pool / mae
5.3551
mid / absrel
0.2884
mid / delta1
0.5214
mid / delta2
0.8510
mid / delta3
0.9506
mid / log10
0.1128
mid / mae
4.8325
mid / rmse
7.2714
mid / rmse log
0.3379
mid / silog
0.3323
mid / sqrel
3.0031
near / absrel
0.5990
near / delta1
0.1803
near / delta2
0.7167
near / delta3
0.9012
near / log10
0.1758
near / mae
4.0349
near / rmse
6.5952
near / rmse log
0.4968
near / silog
0.3002
near / sqrel
7.8453
pixel pool / rmse
8.7942
pixel pool / rmse log
0.4013
pixel pool / silog
0.3795
pixel pool / sqrel
4.6815