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real-drive-sim

DEPTH
Model: SD 2.1. Mari
Split: full
Variant: _mari_metric_clear
Files: 762
Metrics: 20
Compare with:
absrel / median
0.3221
absrel / p90
0.6968
absrel / median
0.2608
absrel / p90
0.6078
rmse / median
3.1925
rmse / p90
29.3950
silog / mean
0.3435
silog / median
0.2938
silog / p90
0.9326
absrel / median
0.2612
absrel / p90
0.6080
rmse / median
3.2153
rmse / p90
29.4260
silog / mean
0.3436
silog / median
0.2944
silog / p90
0.9333
absrel / median
0.1973
absrel / p90
0.3481
rmse / median
0.5716
rmse / p90
1.1414
silog / mean
0.0800
silog / median
0.2079
silog / p90
0.3784
rmse / median
5.2897
rmse / p90
66.8633
silog / mean
0.8808
silog / median
0.3809
silog / p90
1.1891
normal consistency / mean angle
8.3965
normal consistency / median angle
3.5611
normal consistency / percent below 11 25
82.5585
normal consistency / percent below 22 5
91.4553
normal consistency / percent below 30
93.7799
depth edge f1 / f1
0.7952
depth edge f1 / precision
0.7627
depth edge f1 / recall
0.8357
normal consistency / mean angle
8.4154
normal consistency / median angle
3.5731
normal consistency / percent below 11 25
82.5138
normal consistency / percent below 22 5
91.4336
normal consistency / percent below 30
93.7641
normal consistency / mean angle
1.0932
normal consistency / median angle
0.8006
normal consistency / percent below 11 25
99.8020
normal consistency / percent below 22 5
99.8880
normal consistency / percent below 30
99.9039
normal consistency / mean angle
13.5927
normal consistency / median angle
4.3834
normal consistency / percent below 11 25
73.6724
normal consistency / percent below 22 5
83.9522
normal consistency / percent below 30
87.1360
image quality / fid
73.9776
image quality / kid mean
0.0393
image quality / kid std
1.163e-7
image quality / lpips
0.2147
image quality / psnr
19.9062
image quality / ssim
0.8947
image mean / absrel
0.3589
all / absrel
0.2936
all / delta1
0.4266
all / delta2
0.6456
all / delta3
0.7834
all / log10
0.1717
all / mae
9.5304
all / rmse
15.3785
all / rmse log
0.5107
all / silog
0.3435
all / sqrel
5.1916
image mean / delta1
0.3606
image mean / delta2
0.5501
image mean / delta3
0.6778
far / absrel
0.2940
far / delta1
0.4262
far / delta2
0.6447
far / delta3
0.7828
far / log10
0.1719
far / mae
9.5489
far / rmse
15.3960
far / rmse log
0.5113
far / silog
0.3436
far / sqrel
5.2024
image mean / log10
0.2799
image mean / mae
894.7188
mid / absrel
0.1888
mid / delta1
0.5126
mid / delta2
0.9593
mid / delta3
0.9994
mid / log10
0.0913
mid / mae
0.6574
mid / rmse
0.7856
mid / rmse log
0.2257
mid / silog
0.0800
mid / sqrel
0.2167
image mean / rmse
4057.2215
image mean / rmse log
1.0905
image mean / silog
0.8808
image mean / sqrel
884.1442
image median / absrel
0.3450
all / absrel
0.2792
all / delta1
0.4718
all / delta2
0.6631
all / delta3
0.8058
all / log10
0.1584
all / mae
9.2807
all / rmse
15.2399
all / rmse log
0.4911
all / silog
0.3452
all / sqrel
4.7872
image median / delta1
0.4021
image median / delta2
0.5602
image median / delta3
0.6892
far / absrel
0.2792
far / delta1
0.4718
far / delta2
0.6629
far / delta3
0.8053
far / log10
0.1584
far / mae
9.2931
far / rmse
15.2579
far / rmse log
0.4911
far / silog
0.3452
far / sqrel
4.7897
image median / log10
0.2646
image median / mae
548.9964
mid / absrel
0.2122
mid / delta1
0.5092
mid / delta2
0.9993
mid / delta3
1.0000
mid / log10
0.0960
mid / mae
0.7200
mid / rmse
0.8152
mid / rmse log
0.2487
mid / silog
0.0694
mid / sqrel
0.1782
image median / rmse
3847.5607
image median / rmse log
1.0098
image median / silog
0.8071
image median / sqrel
540.3513
pixel pool / absrel
0.3601
all / absrel
0.3002
all / delta1
0.4163
all / delta2
0.6314
all / delta3
0.7717
all / log10
0.1764
all / mae
9.7712
all / rmse
16.0555
all / rmse log
0.5405
all / silog
0.3921
all / sqrel
5.3651
pixel pool / delta1
0.3578
pixel pool / delta2
0.5440
pixel pool / delta3
0.6736
far / absrel
0.3005
far / delta1
0.4159
far / delta2
0.6305
far / delta3
0.7711
far / log10
0.1767
far / mae
9.7948
far / rmse
16.0762
far / rmse log
0.5410
far / silog
0.3922
far / sqrel
5.3783
pixel pool / log10
0.2771
pixel pool / mae
843.1853
mid / absrel
0.1961
mid / delta1
0.5379
mid / delta2
0.9656
mid / delta3
0.9990
mid / log10
0.0907
mid / mae
0.6048
mid / rmse
0.8836
mid / rmse log
0.2472
mid / silog
0.2214
mid / sqrel
0.2493
pixel pool / rmse
5091.5179
pixel pool / rmse log
1.1539
pixel pool / silog
0.9804
pixel pool / sqrel
832.6207
Euler View - ML Experiment Monitor