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princeton_stf
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_metric_noisemodel_pngFiles: 943
Metrics: 14
Compare with:
absrel / median
0.3832
absrel / p90
0.6106
absrel / median
0.3829
absrel / p90
0.6087
rmse / median
5.0294
rmse / p90
18.5876
silog / mean
0.4717
silog / median
0.4803
silog / p90
0.9131
absrel / median
0.5662
absrel / p90
0.7497
rmse / median
25.1677
rmse / p90
40.5235
silog / mean
0.4042
silog / median
0.8299
silog / p90
1.3728
absrel / median
0.4049
absrel / p90
0.5872
rmse / median
6.2469
rmse / p90
14.8477
silog / mean
0.2982
silog / median
0.5163
silog / p90
0.8660
absrel / median
0.3152
absrel / p90
0.4672
rmse / median
2.4549
rmse / p90
3.7809
silog / mean
0.5070
silog / median
0.3780
silog / p90
0.6217
rmse / median
5.0467
rmse / p90
18.8125
silog / mean
0.4732
silog / median
0.4809
silog / p90
0.9176
image mean / absrel
0.7335
all / absrel
0.7350
all / delta1
0.1200
all / delta2
0.4533
all / delta3
0.7620
all / log10
0.2412
all / mae
7.9354
all / rmse
11.3904
all / rmse log
0.6807
all / silog
0.4717
all / sqrel
18.3199
image mean / delta1
0.1198
image mean / delta2
0.4526
image mean / delta3
0.7609
far / absrel
0.5220
far / delta1
0.0801
far / delta2
0.2004
far / delta3
0.3963
far / log10
0.3603
far / mae
24.4949
far / rmse
26.2787
far / rmse log
0.9208
far / silog
0.4042
far / sqrel
14.7786
image mean / log10
0.2417
image mean / mae
8.0378
mid / absrel
0.4081
mid / delta1
0.1123
mid / delta2
0.3968
mid / delta3
0.7521
mid / log10
0.2309
mid / mae
7.4955
mid / rmse
9.1233
mid / rmse log
0.5897
mid / silog
0.2982
mid / sqrel
4.1579
near / absrel
1.4610
near / delta1
0.1520
near / delta2
0.6792
near / delta3
0.9096
near / log10
0.2219
near / mae
4.3763
near / rmse
7.3299
near / rmse log
0.6761
near / silog
0.5070
near / sqrel
49.8033
image mean / rmse
11.6553
image mean / rmse log
0.6825
image mean / silog
0.4732
image mean / sqrel
18.3028
image median / absrel
0.4812
all / absrel
0.4812
all / delta1
0.0571
all / delta2
0.4641
all / delta3
0.7891
all / log10
0.2380
all / mae
7.8241
all / rmse
11.1837
all / rmse log
0.6537
all / silog
0.3911
all / sqrel
6.2887
image median / delta1
0.0569
image median / delta2
0.4637
image median / delta3
0.7882
far / absrel
0.5324
far / delta1
0.0351
far / delta2
0.1290
far / delta3
0.3564
far / log10
0.3544
far / mae
24.4095
far / rmse
26.1821
far / rmse log
0.9056
far / silog
0.3911
far / sqrel
14.4345
image median / log10
0.2382
image median / mae
7.8738
mid / absrel
0.4171
mid / delta1
0.0488
mid / delta2
0.3754
mid / delta3
0.7937
mid / log10
0.2336
mid / mae
7.6020
mid / rmse
9.1712
mid / rmse log
0.5912
mid / silog
0.2822
mid / sqrel
3.9316
near / absrel
0.4363
near / delta1
0.0701
near / delta2
0.7544
near / delta3
0.9670
near / log10
0.1960
near / mae
3.1033
near / rmse
3.8318
near / rmse log
0.5158
near / silog
0.2699
near / sqrel
3.4210
image median / rmse
11.3541
image median / rmse log
0.6544
image median / silog
0.3918
image median / sqrel
6.4586
pixel pool / absrel
0.7028
all / absrel
0.7029
all / delta1
0.1099
all / delta2
0.4381
all / delta3
0.7523
all / log10
0.2419
all / mae
8.1701
all / rmse
11.9664
all / rmse log
0.6908
all / silog
0.5302
all / sqrel
17.8304
pixel pool / delta1
0.1097
pixel pool / delta2
0.4373
pixel pool / delta3
0.7508
far / absrel
0.5493
far / delta1
0.0486
far / delta2
0.1371
far / delta3
0.3164
far / log10
0.3791
far / mae
26.2485
far / rmse
28.4272
far / rmse log
0.9795
far / silog
0.4805
far / sqrel
16.0282
pixel pool / log10
0.2426
pixel pool / mae
8.2994
mid / absrel
0.4164
mid / delta1
0.0983
mid / delta2
0.3733
mid / delta3
0.7363
mid / log10
0.2368
mid / mae
7.7185
mid / rmse
9.5481
mid / rmse log
0.6166
mid / silog
0.3501
mid / sqrel
4.3241
near / absrel
1.4608
near / delta1
0.1560
near / delta2
0.6838
near / delta3
0.9136
near / log10
0.2163
near / mae
4.2642
near / rmse
9.3765
near / rmse log
0.7648
near / silog
0.7464
near / sqrel
52.0339
pixel pool / rmse
12.3565
pixel pool / rmse log
0.6934
pixel pool / silog
0.5320
pixel pool / sqrel
17.8933