1
chamfer_distance_1m: 0.11638592057295492; mean_d2gt_1m: 0.10853414767835866; mean_gt2d_1m: 0.12423769346755119.
precision_10cm: 0.5655399835119538;  recall_10cm: 0.451279643108711;  fscore_10cm: 0.5019900732271009
precision_5cm: 0.324180353858837;  recall_5cm: 0.3096971119981216;  fscore_5cm: 0.3167732666975748
precision_2cm: 0.08592808675248906;  recall_2cm: 0.11152852782343273;  fscore_2cm: 0.09706874139848877

1
chamfer_distance_1m: 0.11471766990587617; mean_d2gt_1m: 0.0963431688940002; mean_gt2d_1m: 0.13309217091775213.
precision_10cm: 0.6196528966022977;  recall_10cm: 0.4148861235031698;  fscore_10cm: 0.4970047155449106
precision_5cm: 0.34502566609630897;  recall_5cm: 0.2239962432495891;  fscore_5cm: 0.27163963426611165
precision_2cm: 0.08139819115130775;  recall_2cm: 0.055177271660014085;  fscore_2cm: 0.06577066896915243

2
chamfer_distance_1m: 0.09691997862096334; mean_d2gt_1m: 0.13911951061421418; mean_gt2d_1m: 0.0547204466277125.
precision_10cm: 0.5482333146382501;  recall_10cm: 0.8497409326424871;  fscore_10cm: 0.6664733426387218
precision_5cm: 0.3210880538418396;  recall_5cm: 0.5204898728214791;  fscore_5cm: 0.3971660211797936
precision_2cm: 0.11322209758833426;  recall_2cm: 0.22162034856335375;  fscore_2cm: 0.14987538331300224

2
chamfer_distance_1m: 0.05177794667127218; mean_d2gt_1m: 0.04043582963100723; mean_gt2d_1m: 0.06312006371153712.
precision_10cm: 0.9721468620003617;  recall_10cm: 0.7983984926990109;  fscore_10cm: 0.876747475414107
precision_5cm: 0.6813166937963465;  recall_5cm: 0.4884597268016957;  fscore_5cm: 0.5689903769852122
precision_2cm: 0.2611683848797251;  recall_2cm: 0.20513424399434763;  fscore_2cm: 0.22978458503639435

3
chamfer_distance_1m: 0.08905239518048144; mean_d2gt_1m: 0.08449493853904476; mean_gt2d_1m: 0.09360985182191811.
precision_10cm: 0.73928992532425;  recall_10cm: 0.6051541647491947;  fscore_10cm: 0.6655306490506392
precision_5cm: 0.24551290449364602;  recall_5cm: 0.24252185918085595;  fscore_5cm: 0.2440082111460486
precision_2cm: 0.08030918380715316;  recall_2cm: 0.07777266451909802;  fscore_2cm: 0.07902056916798163

3
chamfer_distance_1m: 0.09212243191391253; mean_d2gt_1m: 0.08006139161454395; mean_gt2d_1m: 0.10418347221328113.
precision_10cm: 0.8199027884369404;  recall_10cm: 0.5591348366313852;  fscore_10cm: 0.6648639602117781
precision_5cm: 0.21923765668969045;  recall_5cm: 0.16290842153704557;  fscore_5cm: 0.18692150302272492
precision_2cm: 0.0823740086978767;  recall_2cm: 0.04786010124252186;  fscore_2cm: 0.060543710017574526

4
chamfer_distance_1m: 0.07030248536968249; mean_d2gt_1m: 0.07209111436649424; mean_gt2d_1m: 0.06851385637287075.
precision_10cm: 0.7092123235695856;  recall_10cm: 0.7332101047443007;  fscore_10cm: 0.7210115819582765
precision_5cm: 0.425861283958112;  recall_5cm: 0.4867529266789895;  fscore_5cm: 0.4542756876638923
precision_2cm: 0.2534527242373653;  recall_2cm: 0.2501540357362908;  fscore_2cm: 0.2517925715718664

4
chamfer_distance_1m: 0.06739771493337526; mean_d2gt_1m: 0.06389883513720769; mean_gt2d_1m: 0.07089659472954285.
precision_10cm: 0.746417604912999;  recall_10cm: 0.7110289587184226;  fscore_10cm: 0.7282936362710272
precision_5cm: 0.5606448311156602;  recall_5cm: 0.4676524953789279;  fscore_5cm: 0.5099438557067895
precision_2cm: 0.3694984646878199;  recall_2cm: 0.23043746149106592;  fscore_2cm: 0.28385126841983005

accuracy_avg (1m): 0.08562236705935887;
completion_avg (1m): 0.08904676873277073;
chamfer_distance_avg (1m): 0.08733456789606481;
fscore_3_avg (10cm): 0.6652394292895701;
fscore_1_avg (5cm): 0.3687148195835185;
precision_1_avg (5cm): 0.3903584304813051;
recall_1_avg (5cm): 0.36280983220583807;
fscore_2_avg (2cm): 0.1522134372367863;
