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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_metric_3D_1Files: 333
Metrics: 14
Compare with:
absrel / median
0.2202
absrel / p90
0.6352
absrel / median
0.2194
absrel / p90
0.6337
rmse / median
2.7395
rmse / p90
11.7100
silog / mean
0.3435
silog / median
0.2152
silog / p90
0.5854
absrel / median
0.2994
absrel / p90
0.5475
rmse / median
13.3592
rmse / p90
28.7100
silog / mean
0.2627
silog / median
0.3496
silog / p90
0.7493
absrel / median
0.1835
absrel / p90
0.5300
rmse / median
2.8677
rmse / p90
10.8275
silog / mean
0.3168
silog / median
0.1834
silog / p90
0.5456
absrel / median
0.2921
absrel / p90
0.8480
rmse / median
2.1645
rmse / p90
5.8120
silog / mean
0.2037
silog / median
0.2602
silog / p90
0.6148
rmse / median
2.7521
rmse / p90
11.9678
silog / mean
0.3459
silog / median
0.2160
silog / p90
0.5918
image mean / absrel
0.3867
all / absrel
0.3862
all / delta1
0.4900
all / delta2
0.8019
all / delta3
0.9214
all / log10
0.1289
all / mae
5.3949
all / rmse
10.4744
all / rmse log
0.3938
all / silog
0.3435
all / sqrel
9.9424
image mean / delta1
0.4887
image mean / delta2
0.8000
image mean / delta3
0.9197
far / absrel
0.3199
far / delta1
0.3280
far / delta2
0.6485
far / delta3
0.8526
far / log10
0.1692
far / mae
14.3764
far / rmse
17.4552
far / rmse log
0.4454
far / silog
0.2627
far / sqrel
8.2255
image mean / log10
0.1295
image mean / mae
5.5347
mid / absrel
0.3188
mid / delta1
0.5622
mid / delta2
0.8369
mid / delta3
0.9318
mid / log10
0.1149
mid / mae
5.4205
mid / rmse
10.6928
mid / rmse log
0.3590
mid / silog
0.3168
mid / sqrel
9.0249
near / absrel
0.5084
near / delta1
0.3797
near / delta2
0.7645
near / delta3
0.9183
near / log10
0.1475
near / mae
3.5567
near / rmse
5.3107
near / rmse log
0.4033
near / silog
0.2037
near / sqrel
9.6797
image mean / rmse
10.7736
image mean / rmse log
0.3959
image mean / silog
0.3459
image mean / sqrel
10.0067
image median / absrel
0.3327
all / absrel
0.3310
all / delta1
0.5074
all / delta2
0.8377
all / delta3
0.9444
all / log10
0.1213
all / mae
4.8519
all / rmse
9.0353
all / rmse log
0.3716
all / silog
0.3318
all / sqrel
4.2929
image median / delta1
0.5059
image median / delta2
0.8346
image median / delta3
0.9425
far / absrel
0.3123
far / delta1
0.2688
far / delta2
0.7074
far / delta3
0.9351
far / log10
0.1554
far / mae
13.4936
far / rmse
15.8101
far / rmse log
0.4169
far / silog
0.2539
far / sqrel
5.7924
image median / log10
0.1218
image median / mae
4.9632
mid / absrel
0.2761
mid / delta1
0.5899
mid / delta2
0.8743
mid / delta3
0.9554
mid / log10
0.1053
mid / mae
4.8479
mid / rmse
8.5270
mid / rmse log
0.3374
mid / silog
0.3005
mid / sqrel
3.9302
near / absrel
0.3912
near / delta1
0.3789
near / delta2
0.8716
near / delta3
0.9781
near / log10
0.1293
near / mae
2.8427
near / rmse
3.6989
near / rmse log
0.3529
near / silog
0.1600
near / sqrel
1.9493
image median / rmse
9.0548
image median / rmse log
0.3736
image median / silog
0.3340
image median / sqrel
4.3429
pixel pool / absrel
0.3706
all / absrel
0.3700
all / delta1
0.5163
all / delta2
0.8219
all / delta3
0.9276
all / log10
0.1237
all / mae
5.4212
all / rmse
12.2826
all / rmse log
0.4036
all / silog
0.3938
all / sqrel
10.1653
pixel pool / delta1
0.5146
pixel pool / delta2
0.8192
pixel pool / delta3
0.9254
far / absrel
0.3273
far / delta1
0.2921
far / delta2
0.6493
far / delta3
0.8622
far / log10
0.1708
far / mae
15.6314
far / rmse
21.1398
far / rmse log
0.4784
far / silog
0.3521
far / sqrel
9.2094
pixel pool / log10
0.1245
pixel pool / mae
5.6078
mid / absrel
0.3054
mid / delta1
0.5831
mid / delta2
0.8502
mid / delta3
0.9373
mid / log10
0.1108
mid / mae
5.3658
mid / rmse
12.6177
mid / rmse log
0.3682
mid / silog
0.3671
mid / sqrel
8.6662
near / absrel
0.5223
near / delta1
0.4143
near / delta2
0.7945
near / delta3
0.9194
near / log10
0.1426
near / mae
3.4449
near / rmse
8.4544
near / rmse log
0.4581
near / silog
0.3432
near / sqrel
13.6900
pixel pool / rmse
12.8065
pixel pool / rmse log
0.4064
pixel pool / silog
0.3974
pixel pool / sqrel
10.2524