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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_inverse_1Files: 333
Metrics: 14
Compare with:
absrel / median
0.2948
absrel / p90
0.7822
absrel / median
0.2939
absrel / p90
0.7831
rmse / median
3.5918
rmse / p90
12.7679
silog / mean
0.3772
silog / median
0.2744
silog / p90
0.6409
absrel / median
0.3088
absrel / p90
0.5323
rmse / median
13.6611
rmse / p90
29.7702
silog / mean
0.2700
silog / median
0.3620
silog / p90
0.7133
absrel / median
0.2376
absrel / p90
0.6530
rmse / median
3.6343
rmse / p90
11.7417
silog / mean
0.3451
silog / median
0.2277
silog / p90
0.5727
absrel / median
0.4142
absrel / p90
1.1104
rmse / median
3.1326
rmse / p90
7.1420
silog / mean
0.2064
silog / median
0.3469
silog / p90
0.7469
rmse / median
3.6042
rmse / p90
13.0556
silog / mean
0.3797
silog / median
0.2751
silog / p90
0.6466
image mean / absrel
0.5293
all / absrel
0.5292
all / delta1
0.3883
all / delta2
0.7617
all / delta3
0.9021
all / log10
0.1507
all / mae
6.9857
all / rmse
16.6922
all / rmse log
0.4573
all / silog
0.3772
all / sqrel
40.9689
image mean / delta1
0.3873
image mean / delta2
0.7599
image mean / delta3
0.9007
far / absrel
0.3460
far / delta1
0.3381
far / delta2
0.6634
far / delta3
0.8512
far / log10
0.1747
far / mae
15.5875
far / rmse
22.0520
far / rmse log
0.4608
far / silog
0.2700
far / sqrel
15.1948
image mean / log10
0.1513
image mean / mae
7.1186
mid / absrel
0.4236
mid / delta1
0.4759
mid / delta2
0.8127
mid / delta3
0.9197
mid / log10
0.1325
mid / mae
7.0373
mid / rmse
16.7606
mid / rmse log
0.4149
mid / silog
0.3451
mid / sqrel
27.8032
near / absrel
0.7213
near / delta1
0.1977
near / delta2
0.6995
near / delta3
0.8956
near / log10
0.1791
near / mae
4.9103
near / rmse
9.2904
near / rmse log
0.4730
near / silog
0.2064
near / sqrel
63.0271
image mean / rmse
16.9339
image mean / rmse log
0.4589
image mean / silog
0.3797
image mean / sqrel
40.9612
image median / absrel
0.4458
all / absrel
0.4431
all / delta1
0.3825
all / delta2
0.7911
all / delta3
0.9288
all / log10
0.1439
all / mae
6.2570
all / rmse
11.3044
all / rmse log
0.4365
all / silog
0.3593
all / sqrel
6.9985
image median / delta1
0.3825
image median / delta2
0.7863
image median / delta3
0.9275
far / absrel
0.3110
far / delta1
0.2717
far / delta2
0.7765
far / delta3
0.9559
far / log10
0.1516
far / mae
13.7199
far / rmse
17.6750
far / rmse log
0.4022
far / silog
0.2483
far / sqrel
6.9143
image median / log10
0.1445
image median / mae
6.3519
mid / absrel
0.3575
mid / delta1
0.4935
mid / delta2
0.8430
mid / delta3
0.9409
mid / log10
0.1253
mid / mae
5.9781
mid / rmse
11.0273
mid / rmse log
0.3925
mid / silog
0.3248
mid / sqrel
6.6787
near / absrel
0.5091
near / delta1
0.0533
near / delta2
0.7989
near / delta3
0.9743
near / log10
0.1682
near / mae
3.7988
near / rmse
4.7007
near / rmse log
0.4271
near / silog
0.1473
near / sqrel
2.9018
image median / rmse
11.7114
image median / rmse log
0.4367
image median / silog
0.3610
image median / sqrel
7.3407
pixel pool / absrel
0.5410
all / absrel
0.5410
all / delta1
0.3938
all / delta2
0.7797
all / delta3
0.9091
all / log10
0.1479
all / mae
7.2735
all / rmse
23.6619
all / rmse log
0.4764
all / silog
0.4334
all / sqrel
48.5870
pixel pool / delta1
0.3926
pixel pool / delta2
0.7774
pixel pool / delta3
0.9072
far / absrel
0.3605
far / delta1
0.2793
far / delta2
0.6361
far / delta3
0.8767
far / log10
0.1727
far / mae
17.1846
far / rmse
29.8173
far / rmse log
0.4875
far / silog
0.3867
far / sqrel
18.9028
pixel pool / log10
0.1486
pixel pool / mae
7.4518
mid / absrel
0.4322
mid / delta1
0.4900
mid / delta2
0.8303
mid / delta3
0.9271
mid / log10
0.1289
mid / mae
7.2551
mid / rmse
23.7812
mid / rmse log
0.4307
mid / silog
0.4060
mid / sqrel
32.9237
near / absrel
0.8197
near / delta1
0.2039
near / delta2
0.6968
near / delta3
0.8758
near / log10
0.1849
near / mae
5.2765
near / rmse
21.9007
near / rmse log
0.5628
near / silog
0.3755
near / sqrel
89.4628
pixel pool / rmse
23.9351
pixel pool / rmse log
0.4783
pixel pool / silog
0.4370
pixel pool / sqrel
48.5496