1
chamfer_distance_1m: 0.030268005284692576; mean_d2gt_1m: 0.03616556736732415; mean_gt2d_1m: 0.024370443202061.
precision_10cm: 0.9027209854106719;  recall_10cm: 0.9819206386475698;  fscore_10cm: 0.9406566749842031
precision_5cm: 0.8042808824271795;  recall_5cm: 0.8872974876731627;  fscore_5cm: 0.8437521012994489
precision_2cm: 0.5077490029784442;  recall_2cm: 0.5536510918055881;  fscore_2cm: 0.5297074846613367

2
chamfer_distance_1m: 0.04269430637169266; mean_d2gt_1m: 0.026798133379067005; mean_gt2d_1m: 0.05859047936431831.
precision_10cm: 0.9678306716588981;  recall_10cm: 0.8146490814884597;  fscore_10cm: 0.8846578614851851
precision_5cm: 0.8954687858179873;  recall_5cm: 0.6297691945360339;  fscore_5cm: 0.7394762778572791
precision_2cm: 0.5468785817987316;  recall_2cm: 0.4032030146019783;  fscore_2cm: 0.4641771639761711

3
chamfer_distance_1m: 0.038612154039711806; mean_d2gt_1m: 0.019305480539407976; mean_gt2d_1m: 0.057918827540015635.
precision_10cm: 0.9790107683883921;  recall_10cm: 0.7975149562816383;  fscore_10cm: 0.8789917476715212
precision_5cm: 0.9450629676948348;  recall_5cm: 0.6479521398987574;  fscore_5cm: 0.7688007043925139
precision_2cm: 0.768023361927359;  recall_2cm: 0.4445467096180396;  fscore_2cm: 0.5631381866513739

4
chamfer_distance_1m: 0.10518499405064777; mean_d2gt_1m: 0.12761343986788692; mean_gt2d_1m: 0.0827565482334086.
precision_10cm: 0.46410097248086074;  recall_10cm: 0.6814540973505854;  fscore_10cm: 0.5521576654838946
precision_5cm: 0.26525967308090215;  recall_5cm: 0.4004929143561306;  fscore_5cm: 0.3191414346479442
precision_2cm: 0.12269811711152494;  recall_2cm: 0.14417744916820702;  fscore_2cm: 0.1325734021036012

accuracy_avg (1m): 0.052470655288421514;
completion_avg (1m): 0.05590907458495088;
chamfer_distance_avg (1m): 0.0541898649366862;
fscore_3_avg (10cm): 0.814115987406201;
fscore_1_avg (5cm): 0.6677926295492964;
precision_1_avg (5cm): 0.727518077255226;
recall_1_avg (5cm): 0.6413779341160212;
fscore_2_avg (2cm): 0.42239905934812066;
