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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_correlate_1Files: 333
Metrics: 14
Compare with:
absrel / median
0.3324
absrel / p90
0.9543
absrel / median
0.3312
absrel / p90
0.9561
rmse / median
4.2035
rmse / p90
12.5929
silog / mean
0.3403
silog / median
0.3032
silog / p90
0.6947
absrel / median
0.2712
absrel / p90
0.4834
rmse / median
11.8606
rmse / p90
27.3833
silog / mean
0.2198
silog / median
0.3087
silog / p90
0.6351
absrel / median
0.2503
absrel / p90
0.7723
rmse / median
4.0195
rmse / p90
11.8366
silog / mean
0.2999
silog / median
0.2369
silog / p90
0.5985
absrel / median
0.5343
absrel / p90
1.3548
rmse / median
4.0459
rmse / p90
9.1817
silog / mean
0.2094
silog / median
0.4290
silog / p90
0.8565
rmse / median
4.2186
rmse / p90
12.8321
silog / mean
0.3433
silog / median
0.3042
silog / p90
0.7001
image mean / absrel
0.5260
all / absrel
0.5257
all / delta1
0.3411
all / delta2
0.6871
all / delta3
0.8739
all / log10
0.1629
all / mae
6.4301
all / rmse
9.6305
all / rmse log
0.4619
all / silog
0.3403
all / sqrel
9.2946
image mean / delta1
0.3401
image mean / delta2
0.6852
image mean / delta3
0.8721
far / absrel
0.2681
far / delta1
0.4139
far / delta2
0.7640
far / delta3
0.9230
far / log10
0.1367
far / mae
12.2135
far / rmse
14.2626
far / rmse log
0.3617
far / silog
0.2198
far / sqrel
4.8815
image mean / log10
0.1635
image mean / mae
6.5682
mid / absrel
0.4017
mid / delta1
0.4459
mid / delta2
0.7750
mid / delta3
0.9137
mid / log10
0.1352
mid / mae
6.2196
mid / rmse
9.2852
mid / rmse log
0.3919
mid / silog
0.2999
mid / sqrel
6.1522
near / absrel
0.7979
near / delta1
0.0930
near / delta2
0.4915
near / delta3
0.7960
near / log10
0.2227
near / mae
5.6808
near / rmse
7.3445
near / rmse log
0.5620
near / silog
0.2094
near / sqrel
14.1651
image mean / rmse
9.9967
image mean / rmse log
0.4639
image mean / silog
0.3433
image mean / sqrel
9.3673
image median / absrel
0.4590
all / absrel
0.4595
all / delta1
0.3359
all / delta2
0.7222
all / delta3
0.9122
all / log10
0.1535
all / mae
6.1748
all / rmse
8.8350
all / rmse log
0.4326
all / silog
0.3326
all / sqrel
5.1344
image median / delta1
0.3356
image median / delta2
0.7223
image median / delta3
0.9114
far / absrel
0.2629
far / delta1
0.3894
far / delta2
0.8406
far / delta3
0.9769
far / log10
0.1258
far / mae
11.3485
far / rmse
13.7056
far / rmse log
0.3410
far / silog
0.2105
far / sqrel
4.1837
image median / log10
0.1544
image median / mae
6.2365
mid / absrel
0.3636
mid / delta1
0.4541
mid / delta2
0.8121
mid / delta3
0.9449
mid / log10
0.1274
mid / mae
5.8491
mid / rmse
8.5862
mid / rmse log
0.3697
mid / silog
0.2913
mid / sqrel
4.4392
near / absrel
0.6650
near / delta1
0.0155
near / delta2
0.5196
near / delta3
0.9026
near / log10
0.2083
near / mae
5.0567
near / rmse
5.8404
near / rmse log
0.5182
near / silog
0.1702
near / sqrel
4.5436
image median / rmse
8.9490
image median / rmse log
0.4336
image median / silog
0.3342
image median / sqrel
5.2449
pixel pool / absrel
0.4987
all / absrel
0.4986
all / delta1
0.3612
all / delta2
0.7182
all / delta3
0.8895
all / log10
0.1554
all / mae
6.2842
all / rmse
10.3973
all / rmse log
0.4639
all / silog
0.3898
all / sqrel
9.4677
pixel pool / delta1
0.3600
pixel pool / delta2
0.7160
pixel pool / delta3
0.8872
far / absrel
0.2829
far / delta1
0.3445
far / delta2
0.7189
far / delta3
0.9189
far / log10
0.1479
far / mae
13.8066
far / rmse
17.1021
far / rmse log
0.4113
far / silog
0.2988
far / sqrel
5.5877
pixel pool / log10
0.1562
pixel pool / mae
6.4680
mid / absrel
0.3770
mid / delta1
0.4727
mid / delta2
0.8014
mid / delta3
0.9256
mid / log10
0.1281
mid / mae
5.9398
mid / rmse
9.7416
mid / rmse log
0.3888
mid / silog
0.3373
mid / sqrel
5.8293
near / absrel
0.8127
near / delta1
0.1172
near / delta2
0.5336
near / delta3
0.8032
near / log10
0.2178
near / mae
5.5021
near / rmse
9.9753
near / rmse log
0.6057
near / silog
0.3554
near / sqrel
18.3428
pixel pool / rmse
11.0042
pixel pool / rmse log
0.4661
pixel pool / silog
0.3949
pixel pool / sqrel
9.5538