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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_metric_3D_2Files: 333
Metrics: 14
Compare with:
absrel / median
0.2434
absrel / p90
0.6601
absrel / median
0.2424
absrel / p90
0.6578
rmse / median
2.9646
rmse / p90
13.1393
silog / mean
0.3758
silog / median
0.2400
silog / p90
0.6624
absrel / median
0.3622
absrel / p90
0.6403
rmse / median
16.4602
rmse / p90
32.0117
silog / mean
0.2601
silog / median
0.4417
silog / p90
0.9466
absrel / median
0.2005
absrel / p90
0.5646
rmse / median
3.0882
rmse / p90
12.1182
silog / mean
0.3306
silog / median
0.2036
silog / p90
0.6384
absrel / median
0.3231
absrel / p90
0.8749
rmse / median
2.4017
rmse / p90
5.7298
silog / mean
0.1984
silog / median
0.2819
silog / p90
0.6287
rmse / median
2.9780
rmse / p90
13.4395
silog / mean
0.3782
silog / median
0.2409
silog / p90
0.6688
image mean / absrel
0.4012
all / absrel
0.4006
all / delta1
0.4497
all / delta2
0.7590
all / delta3
0.8942
all / log10
0.1428
all / mae
5.8933
all / rmse
11.3242
all / rmse log
0.4304
all / silog
0.3758
all / sqrel
11.6899
image mean / delta1
0.4486
image mean / delta2
0.7572
image mean / delta3
0.8926
far / absrel
0.3923
far / delta1
0.2219
far / delta2
0.4916
far / delta3
0.7078
far / log10
0.2289
far / mae
17.4748
far / rmse
20.1783
far / rmse log
0.5771
far / silog
0.2601
far / sqrel
10.1628
image mean / log10
0.1436
image mean / mae
6.0428
mid / absrel
0.3294
mid / delta1
0.5242
mid / delta2
0.7945
mid / delta3
0.9011
mid / log10
0.1294
mid / mae
5.8737
mid / rmse
11.4163
mid / rmse log
0.3950
mid / silog
0.3306
mid / sqrel
10.4771
near / absrel
0.5057
near / delta1
0.3631
near / delta2
0.7614
near / delta3
0.9252
near / log10
0.1469
near / mae
3.5102
near / rmse
5.4691
near / rmse log
0.3988
near / silog
0.1984
near / sqrel
11.6430
image mean / rmse
11.6477
image mean / rmse log
0.4329
image mean / silog
0.3782
image mean / sqrel
11.7625
image median / absrel
0.3543
all / absrel
0.3528
all / delta1
0.4673
all / delta2
0.7926
all / delta3
0.9361
all / log10
0.1321
all / mae
5.2076
all / rmse
9.3794
all / rmse log
0.3979
all / silog
0.3578
all / sqrel
4.4858
image median / delta1
0.4673
image median / delta2
0.7925
image median / delta3
0.9356
far / absrel
0.3702
far / delta1
0.1528
far / delta2
0.5102
far / delta3
0.8710
far / log10
0.1986
far / mae
16.6732
far / rmse
19.4612
far / rmse log
0.5126
far / silog
0.2453
far / sqrel
8.5188
image median / log10
0.1323
image median / mae
5.3234
mid / absrel
0.2853
mid / delta1
0.5575
mid / delta2
0.8502
mid / delta3
0.9487
mid / log10
0.1125
mid / mae
5.2435
mid / rmse
9.2268
mid / rmse log
0.3575
mid / silog
0.3110
mid / sqrel
4.1543
near / absrel
0.4042
near / delta1
0.3068
near / delta2
0.8497
near / delta3
0.9822
near / log10
0.1383
near / mae
3.0352
near / rmse
3.6691
near / rmse log
0.3584
near / silog
0.1522
near / sqrel
1.8360
image median / rmse
9.5781
image median / rmse log
0.3980
image median / silog
0.3603
image median / sqrel
4.6609
pixel pool / absrel
0.3959
all / absrel
0.3953
all / delta1
0.4693
all / delta2
0.7775
all / delta3
0.9025
all / log10
0.1377
all / mae
6.0070
all / rmse
13.5801
all / rmse log
0.4443
all / silog
0.4424
all / sqrel
12.3358
pixel pool / delta1
0.4677
pixel pool / delta2
0.7750
pixel pool / delta3
0.9002
far / absrel
0.3901
far / delta1
0.2019
far / delta2
0.5067
far / delta3
0.7560
far / log10
0.2181
far / mae
18.4375
far / rmse
23.3776
far / rmse log
0.6075
far / silog
0.4260
far / sqrel
11.2026
pixel pool / log10
0.1387
pixel pool / mae
6.2057
mid / absrel
0.3271
mid / delta1
0.5363
mid / delta2
0.8078
mid / delta3
0.9095
mid / log10
0.1254
mid / mae
5.9465
mid / rmse
13.8745
mid / rmse log
0.4155
mid / silog
0.4133
mid / sqrel
10.4434
near / absrel
0.5476
near / delta1
0.3755
near / delta2
0.7659
near / delta3
0.9169
near / log10
0.1485
near / mae
3.5856
near / rmse
9.5932
near / rmse log
0.4660
near / silog
0.3360
near / sqrel
16.7699
pixel pool / rmse
14.1188
pixel pool / rmse log
0.4479
pixel pool / silog
0.4464
pixel pool / sqrel
12.4319