1
chamfer_distance_1m: 0.09999306488766008; mean_d2gt_1m: 0.09381808202397973; mean_gt2d_1m: 0.10616804775134041.
precision_10cm: 0.6545754328112119;  recall_10cm: 0.525377969762419;  fscore_10cm: 0.5829035422620998
precision_5cm: 0.34079523114972415;  recall_5cm: 0.28725701943844495;  fscore_5cm: 0.3117441922658681
precision_2cm: 0.0531422411059674;  recall_2cm: 0.09827213822894168;  fscore_2cm: 0.06898157680654902

2
chamfer_distance_1m: 0.06942191070371209; mean_d2gt_1m: 0.07841695019320592; mean_gt2d_1m: 0.06042687121421827.
precision_10cm: 0.7135445877734156;  recall_10cm: 0.8249194414607949;  fscore_10cm: 0.7652005998091583
precision_5cm: 0.42561693774537296;  recall_5cm: 0.5075187969924813;  fscore_5cm: 0.46297357580024706
precision_2cm: 0.08146382501402132;  recall_2cm: 0.18904403866809882;  fscore_2cm: 0.11386175401385218

3
chamfer_distance_1m: 0.09456359675109181; mean_d2gt_1m: 0.08066359322721112; mean_gt2d_1m: 0.10846360027497251.
precision_10cm: 0.6460107428271977;  recall_10cm: 0.48148148148148145;  fscore_10cm: 0.5517416440568333
precision_5cm: 0.30132320188654527;  recall_5cm: 0.20202020202020202;  fscore_5cm: 0.24187611255710914
precision_2cm: 0.06419494301061182;  recall_2cm: 0.057800224466891134;  fscore_2cm: 0.06082998020699457

4
chamfer_distance_1m: 0.06478558598687408; mean_d2gt_1m: 0.056704779631687664; mean_gt2d_1m: 0.07286639234206048.
precision_10cm: 0.864015783882228;  recall_10cm: 0.6768953068592057;  fscore_10cm: 0.7590940566016416
precision_5cm: 0.5589619062073152;  recall_5cm: 0.4855595667870036;  fscore_5cm: 0.5196816062613007
precision_2cm: 0.3036879647898012;  recall_2cm: 0.22081829121540314;  fscore_2cm: 0.2557066017850091

accuracy_avg (1m): 0.07740085126902112;
completion_avg (1m): 0.08698122789564791;
chamfer_distance_avg (1m): 0.08219103958233451;
fscore_3_avg (10cm): 0.6647349606824333;
fscore_1_avg (5cm): 0.38406887172113124;
precision_1_avg (5cm): 0.4066743192472394;
recall_1_avg (5cm): 0.37058889630953296;
fscore_2_avg (2cm): 0.12484497820310123;
