1
chamfer_distance_1m: 0.07198517691497507; mean_d2gt_1m: 0.052620850398367114; mean_gt2d_1m: 0.09134950343158302.
precision_10cm: 0.8797176916125146;  recall_10cm: 0.6970842332613391;  fscore_10cm: 0.7778241756066905
precision_5cm: 0.6238757154538022;  recall_5cm: 0.46166306695464365;  fscore_5cm: 0.5306496243324561
precision_2cm: 0.13839996557214787;  recall_2cm: 0.2084233261339093;  fscore_2cm: 0.1663428092603376

2
chamfer_distance_1m: 0.07535320489445853; mean_d2gt_1m: 0.04250885108516026; mean_gt2d_1m: 0.1081975587037568.
precision_10cm: 0.9479348283532736;  recall_10cm: 0.5961331901181526;  fscore_10cm: 0.7319566273381948
precision_5cm: 0.7324595683280226;  recall_5cm: 0.39473684210526316;  fscore_5cm: 0.513005136869489
precision_2cm: 0.15024349185354416;  recall_2cm: 0.1858216970998926;  fscore_2cm: 0.16614931103477748

3
chamfer_distance_1m: 0.07178929369269287; mean_d2gt_1m: 0.037977362872720084; mean_gt2d_1m: 0.10560122451266564.
precision_10cm: 1.0;  recall_10cm: 0.6038159371492705;  fscore_10cm: 0.7529741030727787
precision_5cm: 0.7116743471582181;  recall_5cm: 0.2833894500561167;  fscore_5cm: 0.4053629534066083
precision_2cm: 0.13072196620583718;  recall_2cm: 0.08361391694725027;  fscore_2cm: 0.10199108945051355

4
chamfer_distance_1m: 0.08310139454618135; mean_d2gt_1m: 0.06639023955644606; mean_gt2d_1m: 0.09981254953591663.
precision_10cm: 0.8067940552016986;  recall_10cm: 0.5601684717208183;  fscore_10cm: 0.6612333267204883
precision_5cm: 0.4309978768577495;  recall_5cm: 0.2605294825511432;  fscore_5cm: 0.3247525949243994
precision_2cm: 0.14437367303609341;  recall_2cm: 0.08664259927797834;  fscore_2cm: 0.10829462039519767

accuracy_avg (1m): 0.04987432597817337;
completion_avg (1m): 0.10124020904598052;
chamfer_distance_avg (1m): 0.07555726751207695;
fscore_3_avg (10cm): 0.7309970581845381;
fscore_1_avg (5cm): 0.4434425773832382;
precision_1_avg (5cm): 0.6247518769494481;
recall_1_avg (5cm): 0.3500797104167917;
fscore_2_avg (2cm): 0.1356944575352066;
