1
chamfer_distance_1m: 0.08095298753827716; mean_d2gt_1m: 0.09751482552410874; mean_gt2d_1m: 0.06439114955244558.
precision_10cm: 0.6647005003017384;  recall_10cm: 0.7899568034557235;  fscore_10cm: 0.7219359192131075
precision_5cm: 0.42585995444723473;  recall_5cm: 0.5550755939524838;  fscore_5cm: 0.48195717879981853
precision_2cm: 0.06585683972824077;  recall_2cm: 0.2316414686825054;  fscore_2cm: 0.10255637852968123

2
chamfer_distance_1m: 0.06543646949694955; mean_d2gt_1m: 0.0665415880609628; mean_gt2d_1m: 0.0643313509329363.
precision_10cm: 0.8118186474160427;  recall_10cm: 0.8297529538131042;  fscore_10cm: 0.8206878287200003
precision_5cm: 0.5482037899665878;  recall_5cm: 0.6568206229860365;  fscore_5cm: 0.5976170241709976
precision_2cm: 0.0589225178645465;  recall_2cm: 0.16809881847475833;  fscore_2cm: 0.08725880446312252

3
chamfer_distance_1m: 0.048556704084354904; mean_d2gt_1m: 0.05436697293759988; mean_gt2d_1m: 0.042746435231109936.
precision_10cm: 0.8658280074427636;  recall_10cm: 0.94668911335578;  fscore_10cm: 0.9044548432195708
precision_5cm: 0.5504004530377801;  recall_5cm: 0.6335578002244668;  fscore_5cm: 0.5890587719001823
precision_2cm: 0.14618558369063991;  recall_2cm: 0.2878787878787879;  fscore_2cm: 0.19390546852084112

4
chamfer_distance_1m: 0.0791980255877181; mean_d2gt_1m: 0.11925845400975509; mean_gt2d_1m: 0.03913759716568113.
precision_10cm: 0.6518064076346285;  recall_10cm: 0.9049338146811071;  fscore_10cm: 0.7577907304637096
precision_5cm: 0.47402862985685074;  recall_5cm: 0.782791817087846;  fscore_5cm: 0.5904832794007171
precision_2cm: 0.2504885253351511;  recall_2cm: 0.4645006016847172;  fscore_2cm: 0.3254652825027801

accuracy_avg (1m): 0.08442046013310663;
completion_avg (1m): 0.05265163322054323;
chamfer_distance_avg (1m): 0.06853604667682493;
fscore_3_avg (10cm): 0.801217330404097;
fscore_1_avg (5cm): 0.5647790635679288;
precision_1_avg (5cm): 0.49962320682711336;
recall_1_avg (5cm): 0.6570614585627083;
fscore_2_avg (2cm): 0.17729648350410626;
