2
chamfer_distance_1m: 0.335701868963351; mean_d2gt_1m: 0.6032318879340831; mean_gt2d_1m: 0.06817184999261897.
precision_10cm: 0.3379275140377744;  recall_10cm: 0.8358531317494601;  fscore_10cm: 0.4812786264966069
precision_5cm: 0.18478815722307299;  recall_5cm: 0.4087473002159827;  fscore_5cm: 0.25451439558520816
precision_2cm: 0.03828483920367534;  recall_2cm: 0.04049676025917927;  fscore_2cm: 0.039359743101554295

3
chamfer_distance_1m: 0.23212516688674423; mean_d2gt_1m: 0.026395608886927907; mean_gt2d_1m: 0.4378547248865606.
precision_10cm: 1.0;  recall_10cm: 0.00966702470461869;  fscore_10cm: 0.019148935980556815
precision_5cm: 1.0;  recall_5cm: 0.0021482277121374865;  fscore_5cm: 0.004287245402021164
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

4
chamfer_distance_1m: 0.03477416135366352; mean_d2gt_1m: 0.03431788947077061; mean_gt2d_1m: 0.03523043323655643.
precision_10cm: 1.0;  recall_10cm: 1.0;  fscore_10cm: 0.999999995
precision_5cm: 0.8258173618940248;  recall_5cm: 0.7912457912457912;  fscore_5cm: 0.8081620147324482
precision_2cm: 0.20462232243517475;  recall_2cm: 0.20987654320987653;  fscore_2cm: 0.20721612636192913

5
chamfer_distance_1m: 0.11365791471527245; mean_d2gt_1m: 0.12879046755340065; mean_gt2d_1m: 0.09852536187714425.
precision_10cm: 0.5055008685581934;  recall_10cm: 0.6353790613718412;  fscore_10cm: 0.5630472692978584
precision_5cm: 0.38390272148233934;  recall_5cm: 0.5036101083032491;  fscore_5cm: 0.435683366992957
precision_2cm: 0.16502605674580198;  recall_2cm: 0.18471720818291215;  fscore_2cm: 0.17431730451847893

accuracy_avg (1m): 0.19818396346129558;
completion_avg (1m): 0.15994559249822005;
chamfer_distance_avg (1m): 0.17906477797975778;
fscore_3_avg (10cm): 0.5158687066937555;
fscore_1_avg (5cm): 0.3756617556781586;
precision_1_avg (5cm): 0.5986270601498592;
recall_1_avg (5cm): 0.42643785686929014;
fscore_2_avg (2cm): 0.10522329349549059;
