1
chamfer_distance_1m: 0.06943253965536318; mean_d2gt_1m: 0.07058865117601913; mean_gt2d_1m: 0.06827642813470723.
precision_10cm: 0.7641241460054977;  recall_10cm: 0.83207343412527;  fscore_10cm: 0.796652502417004
precision_5cm: 0.44294957876378;  recall_5cm: 0.5739740820734341;  fscore_5cm: 0.5000209655193545
precision_2cm: 0.08000591451451261;  recall_2cm: 0.22732181425485962;  fscore_2cm: 0.11835631701443222

2
chamfer_distance_1m: 0.0549970090334764; mean_d2gt_1m: 0.06476045121157098; mean_gt2d_1m: 0.04523356685538183.
precision_10cm: 0.8043932133794729;  recall_10cm: 0.9049409237379162;  fscore_10cm: 0.8517098178746444
precision_5cm: 0.5223761602980777;  recall_5cm: 0.6906552094522019;  fscore_5cm: 0.5948433361679037
precision_2cm: 0.08065712567791139;  recall_2cm: 0.3012889366272825;  fscore_2cm: 0.12724885207089245

3
chamfer_distance_1m: 0.07649343524117296; mean_d2gt_1m: 0.04384991679492028; mean_gt2d_1m: 0.10913695368742563.
precision_10cm: 0.9774359118629868;  recall_10cm: 0.6346801346801347;  fscore_10cm: 0.7696209632855389
precision_5cm: 0.619853646795515;  recall_5cm: 0.4046015712682379;  fscore_5cm: 0.4896138993283669
precision_2cm: 0.14080166046181594;  recall_2cm: 0.1610549943883277;  fscore_2cm: 0.15024886494921597

4
chamfer_distance_1m: 0.05109486229352074; mean_d2gt_1m: 0.04121376202740276; mean_gt2d_1m: 0.06097596255963871.
precision_10cm: 0.9071604879669626;  recall_10cm: 0.8002406738868832;  fscore_10cm: 0.8503528428834619
precision_5cm: 0.7049532444106897;  recall_5cm: 0.6558363417569194;  fscore_5cm: 0.6795083651815815
precision_2cm: 0.4044144871125457;  recall_2cm: 0.3832731648616125;  fscore_2cm: 0.3935601073223267

accuracy_avg (1m): 0.05510319530247829;
completion_avg (1m): 0.07090572780928835;
chamfer_distance_avg (1m): 0.06300446155588332;
fscore_3_avg (10cm): 0.8170840316151622;
fscore_1_avg (5cm): 0.5659966415493016;
precision_1_avg (5cm): 0.5725331575670156;
recall_1_avg (5cm): 0.5812668011376984;
fscore_2_avg (2cm): 0.19735353533921685;
