1
chamfer_distance_1m: 0.03549378784640084; mean_d2gt_1m: 0.03425080945719438; mean_gt2d_1m: 0.03673676623560729.
precision_10cm: 0.9748364368394564;  recall_10cm: 0.9483446818501996;  fscore_10cm: 0.9614080928304286
precision_5cm: 0.7531454453950679;  recall_5cm: 0.7212960788917586;  fscore_5cm: 0.7368767685473675
precision_2cm: 0.41847005535983894;  recall_2cm: 0.40432026297252877;  fscore_2cm: 0.41127348487954446

2
chamfer_distance_1m: 0.04461683339902239; mean_d2gt_1m: 0.046993174886125706; mean_gt2d_1m: 0.04224049191191908.
precision_10cm: 0.8316690442225392;  recall_10cm: 0.883419689119171;  fscore_10cm: 0.8567636063724444
precision_5cm: 0.7319900142653353;  recall_5cm: 0.7574187470560527;  fscore_5cm: 0.7444873027980279
precision_2cm: 0.41048502139800286;  recall_2cm: 0.41898257183231274;  fscore_2cm: 0.4146902646810724

3
chamfer_distance_1m: 0.055989363859563074; mean_d2gt_1m: 0.022901853087346477; mean_gt2d_1m: 0.08907687463177967.
precision_10cm: 0.9985714285714286;  recall_10cm: 0.7445927289461574;  fscore_10cm: 0.8530797487726145
precision_5cm: 0.9785714285714285;  recall_5cm: 0.6157386102162908;  fscore_5cm: 0.7558682978685407
precision_2cm: 0.5076190476190476;  recall_2cm: 0.3617119190059825;  fscore_2cm: 0.4224210680979162

4
chamfer_distance_1m: 0.02905294061442553; mean_d2gt_1m: 0.020855784733502858; mean_gt2d_1m: 0.0372500964953482.
precision_10cm: 0.9995527728085868;  recall_10cm: 0.933456561922366;  fscore_10cm: 0.9653746344363761
precision_5cm: 0.9691413237924866;  recall_5cm: 0.8373382624768947;  fscore_5cm: 0.8984315281886505
precision_2cm: 0.575134168157424;  recall_2cm: 0.46210720887245843;  fscore_2cm: 0.5124624769079978

accuracy_avg (1m): 0.03125040554104236;
completion_avg (1m): 0.05132605731866356;
chamfer_distance_avg (1m): 0.04128823142985296;
fscore_3_avg (10cm): 0.9091565206029659;
fscore_1_avg (5cm): 0.7839159743506467;
precision_1_avg (5cm): 0.8582120530060796;
recall_1_avg (5cm): 0.7329479246602493;
fscore_2_avg (2cm): 0.4402118236416327;
