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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_inverse_1_no_ensembleFiles: 333
Metrics: 14
Compare with:
absrel / median
0.2975
absrel / p90
0.8006
absrel / median
0.2967
absrel / p90
0.8020
rmse / median
3.6336
rmse / p90
13.0408
silog / mean
0.3868
silog / median
0.2770
silog / p90
0.6501
absrel / median
0.3130
absrel / p90
0.5398
rmse / median
13.8149
rmse / p90
30.1613
silog / mean
0.2904
silog / median
0.3673
silog / p90
0.7280
absrel / median
0.2403
absrel / p90
0.6701
rmse / median
3.6783
rmse / p90
12.0313
silog / mean
0.3567
silog / median
0.2307
silog / p90
0.5844
absrel / median
0.4201
absrel / p90
1.1123
rmse / median
3.1774
rmse / p90
7.2777
silog / mean
0.2096
silog / median
0.3510
silog / p90
0.7478
rmse / median
3.6460
rmse / p90
13.3275
silog / mean
0.3893
silog / median
0.2778
silog / p90
0.6558
image mean / absrel
0.5513
all / absrel
0.5513
all / delta1
0.3831
all / delta2
0.7551
all / delta3
0.8990
all / log10
0.1530
all / mae
7.3745
all / rmse
19.4113
all / rmse log
0.4672
all / silog
0.3868
all / sqrel
51.9202
image mean / delta1
0.3821
image mean / delta2
0.7533
image mean / delta3
0.8975
far / absrel
0.3672
far / delta1
0.3291
far / delta2
0.6537
far / delta3
0.8376
far / log10
0.1810
far / mae
16.5056
far / rmse
25.0401
far / rmse log
0.4802
far / silog
0.2904
far / sqrel
21.3138
image mean / log10
0.1536
image mean / mae
7.5059
mid / absrel
0.4480
mid / delta1
0.4711
mid / delta2
0.8074
mid / delta3
0.9173
mid / log10
0.1346
mid / mae
7.4950
mid / rmse
19.8535
mid / rmse log
0.4259
mid / silog
0.3567
mid / sqrel
40.7335
near / absrel
0.7369
near / delta1
0.1978
near / delta2
0.6931
near / delta3
0.8916
near / log10
0.1808
near / mae
5.0265
near / rmse
9.8420
near / rmse log
0.4782
near / silog
0.2096
near / sqrel
70.7195
image mean / rmse
19.6326
image mean / rmse log
0.4688
image mean / silog
0.3893
image mean / sqrel
51.8575
image median / absrel
0.4655
all / absrel
0.4655
all / delta1
0.3786
all / delta2
0.7946
all / delta3
0.9287
all / log10
0.1453
all / mae
6.4740
all / rmse
12.4098
all / rmse log
0.4455
all / silog
0.3671
all / sqrel
8.4663
image median / delta1
0.3775
image median / delta2
0.7895
image median / delta3
0.9254
far / absrel
0.3237
far / delta1
0.2639
far / delta2
0.7487
far / delta3
0.9469
far / log10
0.1521
far / mae
14.4065
far / rmse
18.7529
far / rmse log
0.4124
far / silog
0.2699
far / sqrel
8.0965
image median / log10
0.1460
image median / mae
6.6231
mid / absrel
0.3738
mid / delta1
0.4884
mid / delta2
0.8373
mid / delta3
0.9377
mid / log10
0.1281
mid / mae
6.3329
mid / rmse
12.5107
mid / rmse log
0.4034
mid / silog
0.3323
mid / sqrel
7.8497
near / absrel
0.5171
near / delta1
0.0522
near / delta2
0.7874
near / delta3
0.9712
near / log10
0.1716
near / mae
3.9519
near / rmse
4.6280
near / rmse log
0.4284
near / silog
0.1459
near / sqrel
2.8117
image median / rmse
12.7096
image median / rmse log
0.4459
image median / silog
0.3698
image median / sqrel
8.6796
pixel pool / absrel
0.5670
all / absrel
0.5671
all / delta1
0.3899
all / delta2
0.7729
all / delta3
0.9063
all / log10
0.1503
all / mae
7.7483
all / rmse
28.3340
all / rmse log
0.4881
all / silog
0.4449
all / sqrel
62.4674
pixel pool / delta1
0.3886
pixel pool / delta2
0.7706
pixel pool / delta3
0.9044
far / absrel
0.3842
far / delta1
0.2679
far / delta2
0.6285
far / delta3
0.8672
far / log10
0.1772
far / mae
18.2478
far / rmse
35.9857
far / rmse log
0.5039
far / silog
0.4093
far / sqrel
27.8850
pixel pool / log10
0.1510
pixel pool / mae
7.9256
mid / absrel
0.4632
mid / delta1
0.4838
mid / delta2
0.8235
mid / delta3
0.9247
mid / log10
0.1316
mid / mae
7.8348
mid / rmse
29.5562
mid / rmse log
0.4459
mid / silog
0.4211
mid / sqrel
49.6943
near / absrel
0.8355
near / delta1
0.2064
near / delta2
0.6901
near / delta3
0.8735
near / log10
0.1863
near / mae
5.3975
near / rmse
23.3358
near / rmse log
0.5680
near / silog
0.3798
near / sqrel
97.9338
pixel pool / rmse
28.5558
pixel pool / rmse log
0.4900
pixel pool / silog
0.4484
pixel pool / sqrel
62.3845