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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_mari_metric_sensormodelFiles: 333
Metrics: 14
Compare with:
absrel / median
0.2715
absrel / p90
0.8157
absrel / median
0.2704
absrel / p90
0.8167
rmse / median
3.6481
rmse / p90
12.9740
silog / mean
0.3717
silog / median
0.2715
silog / p90
0.7073
absrel / median
0.3792
absrel / p90
0.6042
rmse / median
16.6558
rmse / p90
32.2971
silog / mean
0.2420
silog / median
0.4724
silog / p90
0.9135
absrel / median
0.2286
absrel / p90
0.6044
rmse / median
3.6765
rmse / p90
11.5851
silog / mean
0.3198
silog / median
0.2343
silog / p90
0.6048
absrel / median
0.3866
absrel / p90
1.3204
rmse / median
2.8459
rmse / p90
8.9800
silog / mean
0.2200
silog / median
0.3335
silog / p90
0.8418
rmse / median
3.6652
rmse / p90
13.1905
silog / mean
0.3747
silog / median
0.2726
silog / p90
0.7143
image mean / absrel
0.4459
all / absrel
0.4453
all / delta1
0.3984
all / delta2
0.6997
all / delta3
0.8656
all / log10
0.1550
all / mae
5.8452
all / rmse
8.3880
all / rmse log
0.4432
all / silog
0.3717
all / sqrel
5.7174
image mean / delta1
0.3974
image mean / delta2
0.6980
image mean / delta3
0.8637
far / absrel
0.3623
far / delta1
0.2117
far / delta2
0.5075
far / delta3
0.7484
far / log10
0.2122
far / mae
16.3570
far / rmse
18.0211
far / rmse log
0.5432
far / silog
0.2420
far / sqrel
7.5660
image mean / log10
0.1558
image mean / mae
6.0004
mid / absrel
0.3304
mid / delta1
0.4655
mid / delta2
0.7757
mid / delta3
0.9165
mid / log10
0.1305
mid / mae
5.3970
mid / rmse
7.5061
mid / rmse log
0.3757
mid / silog
0.3198
mid / sqrel
3.7110
near / absrel
0.6525
near / delta1
0.3110
near / delta2
0.6027
near / delta3
0.7990
near / log10
0.1872
near / mae
4.6336
near / rmse
5.9124
near / rmse log
0.4911
near / silog
0.2200
near / sqrel
8.2312
image mean / rmse
8.8306
image mean / rmse log
0.4461
image mean / silog
0.3747
image mean / sqrel
5.8190
image median / absrel
0.3683
all / absrel
0.3683
all / delta1
0.4103
all / delta2
0.7404
all / delta3
0.9116
all / log10
0.1427
all / mae
5.6578
all / rmse
7.9826
all / rmse log
0.4076
all / silog
0.3661
all / sqrel
3.7235
image median / delta1
0.4100
image median / delta2
0.7387
image median / delta3
0.9114
far / absrel
0.3623
far / delta1
0.1286
far / delta2
0.5032
far / delta3
0.8469
far / log10
0.2049
far / mae
16.1098
far / rmse
17.5545
far / rmse log
0.5225
far / silog
0.2433
far / sqrel
6.7193
image median / log10
0.1430
image median / mae
5.7042
mid / absrel
0.2904
mid / delta1
0.4765
mid / delta2
0.8045
mid / delta3
0.9479
mid / log10
0.1247
mid / mae
5.0787
mid / rmse
7.0983
mid / rmse log
0.3575
mid / silog
0.3099
mid / sqrel
2.6969
near / absrel
0.5066
near / delta1
0.2548
near / delta2
0.6941
near / delta3
0.9113
near / log10
0.1663
near / mae
3.8415
near / rmse
4.7794
near / rmse log
0.4416
near / silog
0.1867
near / sqrel
3.1016
image median / rmse
8.0543
image median / rmse log
0.4117
image median / silog
0.3692
image median / sqrel
3.8290
pixel pool / absrel
0.4107
all / absrel
0.4099
all / delta1
0.4215
all / delta2
0.7276
all / delta3
0.8847
all / log10
0.1471
all / mae
5.7440
all / rmse
9.0932
all / rmse log
0.4451
all / silog
0.4389
all / sqrel
5.6222
pixel pool / delta1
0.4200
pixel pool / delta2
0.7252
pixel pool / delta3
0.8821
far / absrel
0.3766
far / delta1
0.1768
far / delta2
0.4602
far / delta3
0.7508
far / log10
0.2203
far / mae
18.0917
far / rmse
20.9466
far / rmse log
0.5910
far / silog
0.3389
far / sqrel
8.5269
pixel pool / log10
0.1482
pixel pool / mae
5.9513
mid / absrel
0.3118
mid / delta1
0.4796
mid / delta2
0.7922
mid / delta3
0.9247
mid / log10
0.1264
mid / mae
5.2841
mid / rmse
7.9388
mid / rmse log
0.3789
mid / silog
0.3789
mid / sqrel
3.6077
near / absrel
0.6337
near / delta1
0.3423
near / delta2
0.6385
near / delta3
0.8231
near / log10
0.1782
near / mae
4.2657
near / rmse
7.3629
near / rmse log
0.5370
near / silog
0.3885
near / sqrel
9.4927
pixel pool / rmse
9.9441
pixel pool / rmse log
0.4492
pixel pool / silog
0.4436
pixel pool / sqrel
5.7530