9
chamfer_distance_1m: 0.17768139164902538; mean_d2gt_1m: 0.3393822424000232; mean_gt2d_1m: 0.015980540898027577.
precision_10cm: 0.4544590606712349;  recall_10cm: 0.9997860504920839;  fscore_10cm: 0.6248765394039912
precision_5cm: 0.40695910235249005;  recall_5cm: 0.9469405220367993;  fscore_5cm: 0.569268289969106
precision_2cm: 0.32694776505110124;  recall_2cm: 0.7571673085151904;  fscore_2cm: 0.4566935061441043

10
chamfer_distance_1m: 0.14895868263111048; mean_d2gt_1m: 0.2710039510079507; mean_gt2d_1m: 0.026913414254270223.
precision_10cm: 0.5260541625503755;  recall_10cm: 0.976418929907302;  fscore_10cm: 0.6837383532930013
precision_5cm: 0.4382242712204607;  recall_5cm: 0.8575378110261831;  fscore_5cm: 0.580035308224478
precision_2cm: 0.28255790249486445;  recall_2cm: 0.5412262156448203;  fscore_2cm: 0.3712811136897808

16
chamfer_distance_1m: 0.06529620839625663; mean_d2gt_1m: 0.05056677664958067; mean_gt2d_1m: 0.0800256401429326.
precision_10cm: 0.8517400568181818;  recall_10cm: 0.8332264271969211;  fscore_10cm: 0.8423815274237197
precision_5cm: 0.7210582386363636;  recall_5cm: 0.7004490057729313;  fscore_5cm: 0.7106042192758287
precision_2cm: 0.41015625;  recall_2cm: 0.37395766516998075;  fscore_2cm: 0.3912213995475845

0
chamfer_distance_1m: 0.05774012307053045; mean_d2gt_1m: 0.07359749259766359; mean_gt2d_1m: 0.04188275354339731.
precision_10cm: 0.76990932463014;  recall_10cm: 0.9304189435336976;  fscore_10cm: 0.8425881397593197
precision_5cm: 0.5359545545514726;  recall_5cm: 0.6481785063752277;  fscore_5cm: 0.5867486200386312
precision_2cm: 0.3249688255307357;  recall_2cm: 0.43333333333333335;  fscore_2cm: 0.3714082068566391

1
chamfer_distance_1m: 0.0695807696649821; mean_d2gt_1m: 0.11122084636783777; mean_gt2d_1m: 0.027940692962126413.
precision_10cm: 0.8507364387498503;  recall_10cm: 0.9905834186284544;  fscore_10cm: 0.9153492826300809
precision_5cm: 0.7356603999521015;  recall_5cm: 0.8251791197543501;  fscore_5cm: 0.7778526744319155
precision_2cm: 0.5003592384145611;  recall_2cm: 0.4798362333674514;  fscore_2cm: 0.4898828789844264

3
chamfer_distance_1m: 0.3121179685952724; mean_d2gt_1m: 0.5871395559774314; mean_gt2d_1m: 0.03709638121311339.
precision_10cm: 0.36398649361612323;  recall_10cm: 0.9587044534412955;  fscore_10cm: 0.5276447541435949
precision_5cm: 0.3319615912208505;  recall_5cm: 0.8757085020242915;  fscore_5cm: 0.48142549359541836
precision_2cm: 0.24358974358974358;  recall_2cm: 0.5352226720647774;  fscore_2cm: 0.334803989143107

4
chamfer_distance_1m: 0.1507275538481033; mean_d2gt_1m: 0.27632572601898814; mean_gt2d_1m: 0.02512938167721843.
precision_10cm: 0.5596911411133716;  recall_10cm: 0.9660504201680672;  fscore_10cm: 0.7087568068068086
precision_5cm: 0.46842056593304976;  recall_5cm: 0.906890756302521;  fscore_5cm: 0.6177601701516632
precision_2cm: 0.30585352321065284;  recall_2cm: 0.5936134453781513;  fscore_2cm: 0.40370301081863835

5
chamfer_distance_1m: 0.2529626989866048; mean_d2gt_1m: 0.4757208293304571; mean_gt2d_1m: 0.030204568642752422.
precision_10cm: 0.3366656063979643;  recall_10cm: 0.9788819875776398;  fscore_10cm: 0.5010170623152639
precision_5cm: 0.29299768255555053;  recall_5cm: 0.8128364389233954;  fscore_5cm: 0.4307322158391807
precision_2cm: 0.17807970191302766;  recall_2cm: 0.43146997929606623;  fscore_2cm: 0.25210756860544975

7
chamfer_distance_1m: 0.02976723904211638; mean_d2gt_1m: 0.03194917351915703; mean_gt2d_1m: 0.027585304565075734.
precision_10cm: 0.9568703345313796;  recall_10cm: 0.9921121822962313;  fscore_10cm: 0.9741726287425256
precision_5cm: 0.787531103124136;  recall_5cm: 0.8401986561495763;  fscore_5cm: 0.8130128071763818
precision_2cm: 0.4957146806745922;  recall_2cm: 0.4829097283085013;  fscore_2cm: 0.4892284253684423

8
chamfer_distance_1m: 0.07881261100867427; mean_d2gt_1m: 0.13699523954360848; mean_gt2d_1m: 0.020629982473740066.
precision_10cm: 0.6846275171477827;  recall_10cm: 1.0;  fscore_10cm: 0.8127939335134992
precision_5cm: 0.5801269119319223;  recall_5cm: 0.9003641178417743;  fscore_5cm: 0.705611099649342
precision_2cm: 0.3966181271320104;  recall_2cm: 0.6425024826216484;  fscore_2cm: 0.49046881851979157

accuracy_avg (1m): 0.23539018334126977;
completion_avg (1m): 0.03333886603726542;
chamfer_distance_avg (1m): 0.1343645246892676;
fscore_3_avg (10cm): 0.7433319028031805;
fscore_1_avg (5cm): 0.6273050898351947;
precision_1_avg (5cm): 0.5298894421478397;
recall_1_avg (5cm): 0.8314283436207051;
fscore_2_avg (2cm): 0.4050798917677964;
