1
chamfer_distance_1m: 0.06164637291362951; mean_d2gt_1m: 0.06834464615758104; mean_gt2d_1m: 0.05494809966967799.
precision_10cm: 0.7744746283956945;  recall_10cm: 0.8835651725914477;  fscore_10cm: 0.8254310954074501
precision_5cm: 0.4935930292157868;  recall_5cm: 0.5795981452859351;  fscore_5cm: 0.5331493742978605
precision_2cm: 0.07688364941055868;  recall_2cm: 0.080370942812983;  fscore_2cm: 0.07858862383239544

2
chamfer_distance_1m: 0.08769060905006065; mean_d2gt_1m: 0.10373047807812502; mean_gt2d_1m: 0.0716507400219963.
precision_10cm: 0.6272310045894951;  recall_10cm: 0.8149300155520995;  fscore_10cm: 0.7088658778620449
precision_5cm: 0.3187149413564508;  recall_5cm: 0.3618455158113012;  fscore_5cm: 0.3389135217678368
precision_2cm: 0.029576746557878633;  recall_2cm: 0.03317781233799896;  fscore_2cm: 0.03127395388514305

3
chamfer_distance_1m: 0.03112933433641753; mean_d2gt_1m: 0.0330974314140613; mean_gt2d_1m: 0.02916123725877376.
precision_10cm: 1.0;  recall_10cm: 1.0;  fscore_10cm: 0.999999995
precision_5cm: 0.8077765607886089;  recall_5cm: 0.9002785515320334;  fscore_5cm: 0.8515227671578379
precision_2cm: 0.26396495071193865;  recall_2cm: 0.27520891364902506;  fscore_2cm: 0.26946968605610394

4
chamfer_distance_1m: 0.02305073202776537; mean_d2gt_1m: 0.023753298669943697; mean_gt2d_1m: 0.02234816538558704.
precision_10cm: 1.0;  recall_10cm: 1.0;  fscore_10cm: 0.999999995
precision_5cm: 0.9337209302325581;  recall_5cm: 0.9606253618992473;  fscore_5cm: 0.9469820861245508
precision_2cm: 0.47732558139534886;  recall_2cm: 0.4840764331210191;  fscore_2cm: 0.4806773004155314

5
chamfer_distance_1m: 0.02087504083486856; mean_d2gt_1m: 0.02405349022555491; mean_gt2d_1m: 0.017696591444182216.
precision_10cm: 0.9965556831228473;  recall_10cm: 1.0;  fscore_10cm: 0.9982748656153111
precision_5cm: 0.9115958668197475;  recall_5cm: 1.0;  fscore_5cm: 0.9537537487644474
precision_2cm: 0.5769230769230769;  recall_2cm: 0.6835369400814427;  fscore_2cm: 0.6257211275466441

6
chamfer_distance_1m: 0.15253636526712694; mean_d2gt_1m: 0.02920062039776946; mean_gt2d_1m: 0.27587211013648444.
precision_10cm: 1.0;  recall_10cm: 0.05263157894736842;  fscore_10cm: 0.09999999905000001
precision_5cm: 1.0;  recall_5cm: 0.015789473684210527;  fscore_5cm: 0.031088082595505925
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

10
chamfer_distance_1m: 0.19143296595369433; mean_d2gt_1m: 0.024278016832726578; mean_gt2d_1m: 0.3585879150746621.
precision_10cm: 1.0;  recall_10cm: 0.011924119241192412;  fscore_10cm: 0.023567219906365715
precision_5cm: 1.0;  recall_5cm: 0.0027100271002710027;  fscore_5cm: 0.005405405351497445
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

11
chamfer_distance_1m: 0.19371749045795167; mean_d2gt_1m: 0.031180802675403962; mean_gt2d_1m: 0.3562541782404994.
precision_10cm: 1.0;  recall_10cm: 0.013136288998357963;  fscore_10cm: 0.025931928431239152
precision_5cm: 1.0;  recall_5cm: 0.002736726874657909;  fscore_5cm: 0.00545851522940662
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

12
chamfer_distance_1m: 0.04176850734529602; mean_d2gt_1m: 0.042751225700478984; mean_gt2d_1m: 0.04078578899011305.
precision_10cm: 1.0;  recall_10cm: 0.9978021978021978;  fscore_10cm: 0.9988998849890051
precision_5cm: 0.6449001618996222;  recall_5cm: 0.695054945054945;  fscore_5cm: 0.6690388967860708
precision_2cm: 0.09282245008094982;  recall_2cm: 0.09615384615384616;  fscore_2cm: 0.09445877911929809

21
chamfer_distance_1m: 0.10533666431176426; mean_d2gt_1m: 0.009615553760464746; mean_gt2d_1m: 0.20105777486306378.
precision_10cm: 1.0;  recall_10cm: 0.1397984886649874;  fscore_10cm: 0.2453038652511462
precision_5cm: 1.0;  recall_5cm: 0.030856423173803528;  fscore_5cm: 0.059865607238444814
precision_2cm: 1.0;  recall_2cm: 0.0031486146095717885;  fscore_2cm: 0.006277463842004944

22
chamfer_distance_1m: 0.1899547361345263; mean_d2gt_1m: 0.02710574008554618; mean_gt2d_1m: 0.3528037321835064.
precision_10cm: 1.0;  recall_10cm: 0.014578833693304536;  fscore_10cm: 0.028738690509717644
precision_5cm: 1.0;  recall_5cm: 0.0021598272138228943;  fscore_5cm: 0.004310344784575655
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

accuracy_avg (1m): 0.037919209454332345;
completion_avg (1m): 0.1619242121153224;
chamfer_distance_avg (1m): 0.09992171078482737;
fscore_3_avg (10cm): 0.5413648560929345;
fscore_1_avg (5cm): 0.39995348637254863;
precision_1_avg (5cm): 0.8282092263920705;
recall_1_avg (5cm): 0.41378681796638433;
fscore_2_avg (2cm): 0.14422426679064737;
