14
chamfer_distance_1m: 0.08786380272440579; mean_d2gt_1m: 0.04607510869949328; mean_gt2d_1m: 0.1296524967493183.
precision_10cm: 0.8730769230769231;  recall_10cm: 0.5904617713853142;  fscore_10cm: 0.7044822866438122
precision_5cm: 0.6722222222222223;  recall_5cm: 0.39780469341408026;  fscore_5cm: 0.49982509525771596
precision_2cm: 0.38504273504273506;  recall_2cm: 0.17486752460257382;  fscore_2cm: 0.24050807278738007

0
chamfer_distance_1m: 0.3651450930789779; mean_d2gt_1m: 0.31894819997488355; mean_gt2d_1m: 0.4113419861830722.
precision_10cm: 0.005333989824388642;  recall_10cm: 0.0008960573476702509;  fscore_10cm: 0.0015343553494107849
precision_5cm: 0.0;  recall_5cm: 0.0;  fscore_5cm: 0.0
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

1
chamfer_distance_1m: 0.6150410592241807; mean_d2gt_1m: 0.4313097198831105; mean_gt2d_1m: 0.798772398565251.
precision_10cm: 0.0;  recall_10cm: 0.0;  fscore_10cm: 0.0
precision_5cm: 0.0;  recall_5cm: 0.0;  fscore_5cm: 0.0
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

29
chamfer_distance_1m: 0.19896737912139495; mean_d2gt_1m: 0.18458310578954812; mean_gt2d_1m: 0.21335165245324178.
precision_10cm: 0.35281414495883384;  recall_10cm: 0.28333977580208736;  fscore_10cm: 0.31428330754120687
precision_5cm: 0.17951140504791468;  recall_5cm: 0.1617703904136065;  fscore_5cm: 0.17017977292416997
precision_2cm: 0.09690916452962613;  recall_2cm: 0.07209122535755702;  fscore_2cm: 0.08267791583903447

31
chamfer_distance_1m: 0.14706147143470713; mean_d2gt_1m: 0.01053415508619093; mean_gt2d_1m: 0.28358878778322333.
precision_10cm: 1.0;  recall_10cm: 0.03670315518351577;  fscore_10cm: 0.07080745273314303
precision_5cm: 1.0;  recall_5cm: 0.023824855119124275;  fscore_5cm: 0.04654088004856612
precision_2cm: 1.0;  recall_2cm: 0.01674179008370895;  fscore_2cm: 0.032932235268247234

32
chamfer_distance_1m: 0.24668841537056552; mean_d2gt_1m: 0.19581449368518342; mean_gt2d_1m: 0.29756233705594765.
precision_10cm: 0.17681895093062605;  recall_10cm: 0.06697578567748583;  fscore_10cm: 0.09715211936280051
precision_5cm: 0.07233502538071065;  recall_5cm: 0.01648634724368882;  fscore_5cm: 0.02685255084015875
precision_2cm: 0.03468697123519458;  recall_2cm: 0.01287995878413189;  fscore_2cm: 0.018784759317044698

4
chamfer_distance_1m: 0.4186489355784758; mean_d2gt_1m: 0.13058581417261922; mean_gt2d_1m: 0.7067120569843324.
precision_10cm: 0.2850678733031674;  recall_10cm: 0.0019342359767891683;  fscore_10cm: 0.0038424004516280958
precision_5cm: 0.0;  recall_5cm: 0.0;  fscore_5cm: 0.0
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

7
chamfer_distance_1m: 0.13001504315871654; mean_d2gt_1m: 0.08174306702780261; mean_gt2d_1m: 0.17828701928963048.
precision_10cm: 0.791864764923402;  recall_10cm: 0.3696290365625834;  fscore_10cm: 0.5039996033591013
precision_5cm: 0.1230850501848917;  recall_5cm: 0.05337603416066186;  fscore_5cm: 0.07446164683157087
precision_2cm: 0.019721782003873922;  recall_2cm: 0.010141446490525754;  fscore_2cm: 0.013394889969994982

8
chamfer_distance_1m: 0.6205496631893821; mean_d2gt_1m: 0.4785937582044763; mean_gt2d_1m: 0.7625055681742878.
precision_10cm: 0.0;  recall_10cm: 0.0;  fscore_10cm: 0.0
precision_5cm: 0.0;  recall_5cm: 0.0;  fscore_5cm: 0.0
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

accuracy_avg (1m): 0.20868749139147866;
completion_avg (1m): 0.42019714480425613;
chamfer_distance_avg (1m): 0.3144423180978674;
fscore_3_avg (10cm): 0.18845572504901142;
fscore_1_avg (5cm): 0.09087332732246464;
precision_1_avg (5cm): 0.2274615225373044;
recall_1_avg (5cm): 0.07258470226124018;
fscore_2_avg (2cm): 0.04314420813130017;
