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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_depth_onlyFiles: 333
Metrics: 14
Compare with:
absrel / median
0.2825
absrel / p90
0.7701
absrel / median
0.2815
absrel / p90
0.7705
rmse / median
3.6139
rmse / p90
14.2940
silog / mean
0.3761
silog / median
0.2817
silog / p90
0.7555
absrel / median
0.3658
absrel / p90
0.6352
rmse / median
16.1780
rmse / p90
33.3372
silog / mean
0.2451
silog / median
0.4430
silog / p90
0.9247
absrel / median
0.2603
absrel / p90
0.6602
rmse / median
4.1128
rmse / p90
13.2784
silog / mean
0.3381
silog / median
0.2679
silog / p90
0.7260
absrel / median
0.3128
absrel / p90
1.1843
rmse / median
2.3056
rmse / p90
8.2359
silog / mean
0.2125
silog / median
0.2833
silog / p90
0.7826
rmse / median
3.6322
rmse / p90
14.5538
silog / mean
0.3787
silog / median
0.2827
silog / p90
0.7621
image mean / absrel
0.4961
all / absrel
0.4956
all / delta1
0.3742
all / delta2
0.6717
all / delta3
0.8389
all / log10
0.1680
all / mae
6.8009
all / rmse
10.7156
all / rmse log
0.4836
all / silog
0.3761
all / sqrel
9.9204
image mean / delta1
0.3732
image mean / delta2
0.6700
image mean / delta3
0.8370
far / absrel
0.3763
far / delta1
0.2570
far / delta2
0.5438
far / delta3
0.7429
far / log10
0.2133
far / mae
16.8028
far / rmse
18.8458
far / rmse log
0.5377
far / silog
0.2451
far / sqrel
8.8666
image mean / log10
0.1687
image mean / mae
6.9482
mid / absrel
0.4195
mid / delta1
0.3992
mid / delta2
0.6899
mid / delta3
0.8563
mid / log10
0.1581
mid / mae
6.9538
mid / rmse
10.5340
mid / rmse log
0.4511
mid / silog
0.3381
mid / sqrel
7.9149
near / absrel
0.6442
near / delta1
0.3473
near / delta2
0.6677
near / delta3
0.8268
near / log10
0.1772
near / mae
4.5749
near / rmse
6.3639
near / rmse log
0.4678
near / silog
0.2125
near / sqrel
12.6426
image mean / rmse
11.0743
image mean / rmse log
0.4860
image mean / silog
0.3787
image mean / sqrel
10.0034
image median / absrel
0.3921
all / absrel
0.3912
all / delta1
0.3900
all / delta2
0.7118
all / delta3
0.8926
all / log10
0.1516
all / mae
6.2950
all / rmse
9.7217
all / rmse log
0.4465
all / silog
0.3636
all / sqrel
4.8806
image median / delta1
0.3897
image median / delta2
0.7112
image median / delta3
0.8906
far / absrel
0.3583
far / delta1
0.1816
far / delta2
0.5935
far / delta3
0.9003
far / log10
0.1806
far / mae
15.9577
far / rmse
18.1645
far / rmse log
0.4821
far / silog
0.2301
far / sqrel
7.1537
image median / log10
0.1518
image median / mae
6.4107
mid / absrel
0.3573
mid / delta1
0.4118
mid / delta2
0.7435
mid / delta3
0.9078
mid / log10
0.1482
mid / mae
6.3453
mid / rmse
9.0853
mid / rmse log
0.4284
mid / silog
0.3204
mid / sqrel
4.3196
near / absrel
0.4506
near / delta1
0.2736
near / delta2
0.8192
near / delta3
0.9555
near / log10
0.1501
near / mae
3.3514
near / rmse
4.2331
near / rmse log
0.4015
near / silog
0.1643
near / sqrel
2.4062
image median / rmse
9.8150
image median / rmse log
0.4500
image median / silog
0.3654
image median / sqrel
5.0446
pixel pool / absrel
0.4432
all / absrel
0.4427
all / delta1
0.4034
all / delta2
0.7108
all / delta3
0.8652
all / log10
0.1567
all / mae
6.4971
all / rmse
11.8310
all / rmse log
0.4835
all / silog
0.4820
all / sqrel
9.7100
pixel pool / delta1
0.4021
pixel pool / delta2
0.7086
pixel pool / delta3
0.8629
far / absrel
0.3815
far / delta1
0.2132
far / delta2
0.5046
far / delta3
0.7434
far / log10
0.2151
far / mae
18.1921
far / rmse
21.8465
far / rmse log
0.5939
far / silog
0.4187
far / sqrel
9.5539
pixel pool / log10
0.1576
pixel pool / mae
6.6946
mid / absrel
0.3754
mid / delta1
0.4270
mid / delta2
0.7219
mid / delta3
0.8754
mid / log10
0.1489
mid / mae
6.5236
mid / rmse
11.5968
mid / rmse log
0.4539
mid / silog
0.4523
mid / sqrel
7.4631
near / absrel
0.6046
near / delta1
0.3903
near / delta2
0.7286
near / delta3
0.8676
near / log10
0.1619
near / mae
4.0335
near / rmse
9.0994
near / rmse log
0.5204
near / silog
0.4232
near / sqrel
14.7301
pixel pool / rmse
12.4437
pixel pool / rmse log
0.4865
pixel pool / silog
0.4853
pixel pool / sqrel
9.8144