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princeton_stf
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_metric_noisemodelFiles: 943
Metrics: 14
Compare with:
absrel / median
0.3917
absrel / p90
0.6367
absrel / median
0.3914
absrel / p90
0.6346
rmse / median
4.8922
rmse / p90
19.0782
silog / mean
0.4658
silog / median
0.4948
silog / p90
0.9806
absrel / median
0.5964
absrel / p90
0.7654
rmse / median
26.4858
rmse / p90
41.7364
silog / mean
0.3697
silog / median
0.9049
silog / p90
1.4464
absrel / median
0.3908
absrel / p90
0.6058
rmse / median
6.0466
rmse / p90
14.9623
silog / mean
0.2670
silog / median
0.4934
silog / p90
0.9083
absrel / median
0.3676
absrel / p90
0.5158
rmse / median
2.8340
rmse / p90
4.1100
silog / mean
0.5336
silog / median
0.4578
silog / p90
0.7172
rmse / median
4.9076
rmse / p90
19.3221
silog / mean
0.4673
silog / median
0.4953
silog / p90
0.9861
image mean / absrel
0.8167
all / absrel
0.8189
all / delta1
0.0857
all / delta2
0.4223
all / delta3
0.7561
all / log10
0.2515
all / mae
8.1546
all / rmse
11.7474
all / rmse log
0.6940
all / silog
0.4658
all / sqrel
26.5220
image mean / delta1
0.0856
image mean / delta2
0.4217
image mean / delta3
0.7549
far / absrel
0.5372
far / delta1
0.0725
far / delta2
0.1800
far / delta3
0.3543
far / log10
0.3756
far / mae
25.2591
far / rmse
27.0087
far / rmse log
0.9442
far / silog
0.3697
far / sqrel
15.5107
image mean / log10
0.2520
image mean / mae
8.2577
mid / absrel
0.4002
mid / delta1
0.1039
mid / delta2
0.4334
mid / delta3
0.7601
mid / log10
0.2292
mid / mae
7.4018
mid / rmse
8.8709
mid / rmse log
0.5773
mid / silog
0.2670
mid / sqrel
3.8746
near / absrel
1.8078
near / delta1
0.0525
near / delta2
0.4608
near / delta3
0.8738
near / log10
0.2607
near / mae
5.1968
near / rmse
8.7442
near / rmse log
0.7512
near / silog
0.5336
near / sqrel
83.0871
image mean / rmse
12.0107
image mean / rmse log
0.6957
image mean / silog
0.4673
image mean / sqrel
26.4219
image median / absrel
0.4953
all / absrel
0.4953
all / delta1
0.0382
all / delta2
0.4032
all / delta3
0.7903
all / log10
0.2490
all / mae
8.0665
all / rmse
11.5769
all / rmse log
0.6792
all / silog
0.3568
all / sqrel
6.6509
image median / delta1
0.0382
image median / delta2
0.4013
image median / delta3
0.7878
far / absrel
0.5403
far / delta1
0.0296
far / delta2
0.1174
far / delta3
0.3214
far / log10
0.3664
far / mae
25.0105
far / rmse
26.6921
far / rmse log
0.9154
far / silog
0.3586
far / sqrel
15.0273
image median / log10
0.2494
image median / mae
8.1229
mid / absrel
0.4007
mid / delta1
0.0465
mid / delta2
0.4308
mid / delta3
0.8065
mid / log10
0.2239
mid / mae
7.3411
mid / rmse
8.9026
mid / rmse log
0.5606
mid / silog
0.2537
mid / sqrel
3.6520
near / absrel
0.4907
near / delta1
0.0091
near / delta2
0.4240
near / delta3
0.9426
near / log10
0.2357
near / mae
3.5204
near / rmse
4.6411
near / rmse log
0.5966
near / silog
0.2830
near / sqrel
4.6627
image median / rmse
11.8824
image median / rmse log
0.6803
image median / silog
0.3604
image median / sqrel
6.7866
pixel pool / absrel
0.7961
all / absrel
0.7964
all / delta1
0.0820
all / delta2
0.4072
all / delta3
0.7476
all / log10
0.2520
all / mae
8.3861
all / rmse
12.5336
all / rmse log
0.7139
all / silog
0.5377
all / sqrel
27.4927
pixel pool / delta1
0.0819
pixel pool / delta2
0.4064
pixel pool / delta3
0.7461
far / absrel
0.5731
far / delta1
0.0413
far / delta2
0.1141
far / delta3
0.2656
far / log10
0.4034
far / mae
27.3989
far / rmse
29.5159
far / rmse log
1.0205
far / silog
0.4491
far / sqrel
17.2736
pixel pool / log10
0.2527
pixel pool / mae
8.5164
mid / absrel
0.4063
mid / delta1
0.0961
mid / delta2
0.4149
mid / delta3
0.7492
mid / log10
0.2340
mid / mae
7.5890
mid / rmse
9.3089
mid / rmse log
0.6106
mid / silog
0.3326
mid / sqrel
4.0193
near / absrel
1.8320
near / delta1
0.0582
near / delta2
0.4697
near / delta3
0.8777
near / log10
0.2546
near / mae
5.0822
near / rmse
11.5779
near / rmse log
0.8384
near / silog
0.8035
near / sqrel
88.9099
pixel pool / rmse
12.9070
pixel pool / rmse log
0.7163
pixel pool / silog
0.5392
pixel pool / sqrel
27.5324