1
chamfer_distance_1m: 0.023660250074336628; mean_d2gt_1m: 0.031062427608663814; mean_gt2d_1m: 0.016258072540009445.
precision_10cm: 0.9551109177903436;  recall_10cm: 0.999765203099319;  fscore_10cm: 0.9769280473770701
precision_5cm: 0.8627229230100043;  recall_5cm: 0.9727635595210143;  fscore_5cm: 0.9144446716252841
precision_2cm: 0.6476294040887343;  recall_2cm: 0.7011035454332003;  fscore_2cm: 0.6733064067691275

2
chamfer_distance_1m: 0.023219316870332303; mean_d2gt_1m: 0.024820148433624734; mean_gt2d_1m: 0.021618485307039872.
precision_10cm: 0.9653759680239821;  recall_10cm: 0.9792746113989638;  fscore_10cm: 0.9722756171031336
precision_5cm: 0.9081189108168873;  recall_5cm: 0.8900141309467734;  fscore_5cm: 0.8989753704980604
precision_2cm: 0.7379965026230327;  recall_2cm: 0.6773433820065945;  fscore_2cm: 0.7063703197973287

3
chamfer_distance_1m: 0.02166557328169931; mean_d2gt_1m: 0.022391311490971233; mean_gt2d_1m: 0.020939835072427384.
precision_10cm: 0.9760608336462636;  recall_10cm: 0.9972388403129314;  fscore_10cm: 0.9865361878205224
precision_5cm: 0.9090311678558017;  recall_5cm: 0.8771283939254487;  fscore_5cm: 0.8927948665800208
precision_2cm: 0.6610965076980848;  recall_2cm: 0.6396686608375518;  fscore_2cm: 0.6502060859896098

4
chamfer_distance_1m: 0.0882078840267908; mean_d2gt_1m: 0.1539390399445225; mean_gt2d_1m: 0.022476728109059135.
precision_10cm: 0.5814863102998696;  recall_10cm: 0.977818853974122;  fscore_10cm: 0.7292841541474298
precision_5cm: 0.49465449804432854;  recall_5cm: 0.8995686999383857;  fscore_5cm: 0.6383134367247288
precision_2cm: 0.36923076923076925;  recall_2cm: 0.609981515711645;  fscore_2cm: 0.46001045008530306

accuracy_avg (1m): 0.05805323186944557;
completion_avg (1m): 0.02032328025713396;
chamfer_distance_avg (1m): 0.03918825606328976;
fscore_3_avg (10cm): 0.9162560016120389;
fscore_1_avg (5cm): 0.8361320863570236;
precision_1_avg (5cm): 0.7936318749317555;
recall_1_avg (5cm): 0.9098686960829055;
fscore_2_avg (2cm): 0.6224733156603424;
