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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_muses_final_1Files: 333
Metrics: 14
Compare with:
absrel / median
0.3141
absrel / p90
0.6893
absrel / median
0.3127
absrel / p90
0.6864
rmse / median
3.4709
rmse / p90
18.7043
silog / mean
0.4753
silog / median
0.3273
silog / p90
1.0588
absrel / median
0.6909
absrel / p90
0.8122
rmse / median
29.6798
rmse / p90
43.7312
silog / mean
0.1636
silog / median
1.1735
silog / p90
1.6721
absrel / median
0.3412
absrel / p90
0.6542
rmse / median
5.1162
rmse / p90
17.0884
silog / mean
0.3504
silog / median
0.4052
silog / p90
1.0518
absrel / median
0.2073
absrel / p90
0.6432
rmse / median
1.5780
rmse / p90
3.9559
silog / mean
0.1546
silog / median
0.1920
silog / p90
0.4993
rmse / median
3.4928
rmse / p90
19.0149
silog / mean
0.4807
silog / median
0.3291
silog / p90
1.0682
image mean / absrel
0.3602
all / absrel
0.3589
all / delta1
0.3645
all / delta2
0.5937
all / delta3
0.7345
all / log10
0.2019
all / mae
6.9054
all / rmse
10.3539
all / rmse log
0.5930
all / silog
0.4753
all / sqrel
4.0121
image mean / delta1
0.3633
image mean / delta2
0.5918
image mean / delta3
0.7324
far / absrel
0.7292
far / delta1
0.0090
far / delta2
0.0316
far / delta3
0.0650
far / log10
0.6056
far / mae
32.2642
far / rmse
33.0385
far / rmse log
1.4087
far / silog
0.1636
far / sqrel
24.3757
image mean / log10
0.2034
image mean / mae
7.1111
mid / absrel
0.3639
mid / delta1
0.2914
mid / delta2
0.5111
mid / delta3
0.6817
mid / log10
0.2215
mid / mae
7.3137
mid / rmse
9.4351
mid / rmse log
0.6074
mid / silog
0.3504
mid / sqrel
3.9644
near / absrel
0.2677
near / delta1
0.6147
near / delta2
0.8960
near / delta3
0.9698
near / log10
0.0954
near / mae
1.8147
near / rmse
2.1734
near / rmse log
0.2601
near / silog
0.1546
near / sqrel
0.9372
image mean / rmse
10.9588
image mean / rmse log
0.5994
image mean / silog
0.4807
image mean / sqrel
4.1843
image median / absrel
0.3461
all / absrel
0.3458
all / delta1
0.3670
all / delta2
0.6063
all / delta3
0.7485
all / log10
0.1957
all / mae
6.6029
all / rmse
10.0722
all / rmse log
0.5867
all / silog
0.4665
all / sqrel
3.6998
image median / delta1
0.3667
image median / delta2
0.6048
image median / delta3
0.7479
far / absrel
0.7779
far / delta1
0.000e+0
far / delta2
0.000e+0
far / delta3
0.000e+0
far / log10
0.6551
far / mae
32.0548
far / rmse
32.5717
far / rmse log
1.5147
far / silog
0.1541
far / sqrel
24.8129
image median / log10
0.1964
image median / mae
6.7395
mid / absrel
0.3625
mid / delta1
0.2777
mid / delta2
0.4913
mid / delta3
0.6774
mid / log10
0.2212
mid / mae
7.2369
mid / rmse
9.4628
mid / rmse log
0.6164
mid / silog
0.3530
mid / sqrel
3.8171
near / absrel
0.2331
near / delta1
0.6367
near / delta2
0.9771
near / delta3
1.0000
near / log10
0.0878
near / mae
1.6650
near / rmse
1.9824
near / rmse log
0.2346
near / silog
0.1335
near / sqrel
0.5507
image median / rmse
10.3177
image median / rmse log
0.5867
image median / silog
0.4715
image median / sqrel
3.7896
pixel pool / absrel
0.3566
all / absrel
0.3551
all / delta1
0.3710
all / delta2
0.6049
all / delta3
0.7445
all / log10
0.1978
all / mae
7.0235
all / rmse
11.1034
all / rmse log
0.6033
all / silog
0.5257
all / sqrel
4.0592
pixel pool / delta1
0.3697
pixel pool / delta2
0.6027
pixel pool / delta3
0.7418
far / absrel
0.6412
far / delta1
0.0221
far / delta2
0.0892
far / delta3
0.1852
far / log10
0.4903
far / mae
30.0383
far / rmse
31.9198
far / rmse log
1.2174
far / silog
0.4634
far / sqrel
20.7243
pixel pool / log10
0.1997
pixel pool / mae
7.2915
mid / absrel
0.3541
mid / delta1
0.3115
mid / delta2
0.5343
mid / delta3
0.7002
mid / log10
0.2128
mid / mae
7.1817
mid / rmse
9.6349
mid / rmse log
0.6164
mid / silog
0.4252
mid / sqrel
3.8409
near / absrel
0.2984
near / delta1
0.5750
near / delta2
0.8679
near / delta3
0.9579
near / log10
0.1042
near / mae
1.9404
near / rmse
2.5986
near / rmse log
0.3142
near / silog
0.2356
near / sqrel
1.1176
pixel pool / rmse
12.1791
pixel pool / rmse log
0.6115
pixel pool / silog
0.5323
pixel pool / sqrel
4.2789