1
chamfer_distance_1m: 0.05388955740055416; mean_d2gt_1m: 0.05873247688413515; mean_gt2d_1m: 0.04904663791697316.
precision_10cm: 0.8887787470261697;  recall_10cm: 0.9175862878610003;  fscore_10cm: 0.9029528040545471
precision_5cm: 0.549167327517843;  recall_5cm: 0.6055412068560695;  fscore_5cm: 0.575978151181662
precision_2cm: 0.15245836637589216;  recall_2cm: 0.17539328480864053;  fscore_2cm: 0.16312361254241808

2
chamfer_distance_1m: 0.04652219982554262; mean_d2gt_1m: 0.04080720261734531; mean_gt2d_1m: 0.05223719703373993.
precision_10cm: 0.8856127143454622;  recall_10cm: 0.8532736693358455;  fscore_10cm: 0.8691424731666801
precision_5cm: 0.8017565872020075;  recall_5cm: 0.7202072538860104;  fscore_5cm: 0.7587971416548231
precision_2cm: 0.308866583019657;  recall_2cm: 0.2958078191238813;  fscore_2cm: 0.3021961852144707

3
chamfer_distance_1m: 0.05548599809587898; mean_d2gt_1m: 0.050932330490129185; mean_gt2d_1m: 0.060039665701628775.
precision_10cm: 0.8487368084425967;  recall_10cm: 0.8232857800276115;  fscore_10cm: 0.8358175852600583
precision_5cm: 0.6664534697793412;  recall_5cm: 0.5563736769443166;  fscore_5cm: 0.606458836728673
precision_2cm: 0.1925167892548769;  recall_2cm: 0.19926369075011505;  fscore_2cm: 0.19583214037942556

4
chamfer_distance_1m: 0.03741616209808932; mean_d2gt_1m: 0.032080483803039433; mean_gt2d_1m: 0.0427518403931392.
precision_10cm: 0.9674735249621785;  recall_10cm: 0.9075785582255084;  fscore_10cm: 0.9365694212940818
precision_5cm: 0.8721633888048411;  recall_5cm: 0.7486136783733827;  fscore_5cm: 0.8056795124132808
precision_2cm: 0.39107413010590014;  recall_2cm: 0.3807763401109057;  fscore_2cm: 0.38585653514642587

accuracy_avg (1m): 0.04563812344866227;
completion_avg (1m): 0.051018835261370264;
chamfer_distance_avg (1m): 0.04832847935501627;
fscore_3_avg (10cm): 0.8861205709438419;
fscore_1_avg (5cm): 0.6867284104946098;
precision_1_avg (5cm): 0.7223851933260081;
recall_1_avg (5cm): 0.6576839540149448;
fscore_2_avg (2cm): 0.26175211832068507;
