1
chamfer_distance_1m: 0.08044093187592981; mean_d2gt_1m: 0.09210293562850869; mean_gt2d_1m: 0.06877892812335093.
precision_10cm: 0.6006254507654618;  recall_10cm: 0.7316414686825053;  fscore_10cm: 0.6596913534560525
precision_5cm: 0.3046712198236552;  recall_5cm: 0.4449244060475162;  fscore_5cm: 0.36167676286501
precision_2cm: 0.05266692556785498;  recall_2cm: 0.1652267818574514;  fscore_2cm: 0.0798736808452096

2
chamfer_distance_1m: 0.07100374603407195; mean_d2gt_1m: 0.06478081197576645; mean_gt2d_1m: 0.07722668009237743.
precision_10cm: 0.8312642301164817;  recall_10cm: 0.7551020408163265;  fscore_10cm: 0.7913548392486969
precision_5cm: 0.5405410047414936;  recall_5cm: 0.5472610096670247;  fscore_5cm: 0.543880245455703
precision_2cm: 0.05399312767896535;  recall_2cm: 0.11976369495166488;  fscore_2cm: 0.07443064396294694

3
chamfer_distance_1m: 0.07018205066860787; mean_d2gt_1m: 0.06191868808842741; mean_gt2d_1m: 0.07844541324878833.
precision_10cm: 0.8922502371694659;  recall_10cm: 0.7749719416386083;  fscore_10cm: 0.8294861997021198
precision_5cm: 0.36642882911772956;  recall_5cm: 0.3058361391694725;  fscore_5cm: 0.3334018043399546
precision_2cm: 0.07065244986037066;  recall_2cm: 0.10381593714927048;  fscore_2cm: 0.08408227988408583

4
chamfer_distance_1m: 0.057982963215466685; mean_d2gt_1m: 0.04738014789369347; mean_gt2d_1m: 0.06858577853723989.
precision_10cm: 0.8685579383292448;  recall_10cm: 0.776173285198556;  fscore_10cm: 0.8197709809794277
precision_5cm: 0.666442457334283;  recall_5cm: 0.4927797833935018;  fscore_5cm: 0.5666029435912545
precision_2cm: 0.2957347471710058;  recall_2cm: 0.2250300842358604;  fscore_2cm: 0.25558259611988027

accuracy_avg (1m): 0.066545645896599;
completion_avg (1m): 0.07325920000043915;
chamfer_distance_avg (1m): 0.06990242294851909;
fscore_3_avg (10cm): 0.7750758433465742;
fscore_1_avg (5cm): 0.4513904390629805;
precision_1_avg (5cm): 0.4695208777542903;
recall_1_avg (5cm): 0.44770033456937874;
fscore_2_avg (2cm): 0.12349230020303066;
