1
chamfer_distance_1m: 0.3262990913021679; mean_d2gt_1m: 0.048996579427331065; mean_gt2d_1m: 0.6036016031770047.
precision_10cm: 1.0;  recall_10cm: 0.005017921146953405;  fscore_10cm: 0.009985734565405852
precision_5cm: 1.0;  recall_5cm: 0.00035842293906810036;  fscore_5cm: 0.0007165890290244236
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

2
chamfer_distance_1m: 0.1247137989545147; mean_d2gt_1m: 0.15879224978526058; mean_gt2d_1m: 0.09063534812376882.
precision_10cm: 0.33935546875;  recall_10cm: 0.6610653487095003;  fscore_10cm: 0.4484835483790974
precision_5cm: 0.166015625;  recall_5cm: 0.3414607358594179;  fscore_5cm: 0.22341066789241673
precision_2cm: 0.05615234375;  recall_2cm: 0.033058758923668316;  fscore_2cm: 0.04161649237176524

4
chamfer_distance_1m: 0.24914880175227752; mean_d2gt_1m: 0.12743927719401432; mean_gt2d_1m: 0.3708583263105407.
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

5
chamfer_distance_1m: 0.24768726376826591; mean_d2gt_1m: 0.04306502511281785; mean_gt2d_1m: 0.452309502423714.
precision_10cm: 1.0;  recall_10cm: 0.014230450400663166;  fscore_10cm: 0.028061571716238038
precision_5cm: 1.0;  recall_5cm: 0.0005526388505111909;  fscore_5cm: 0.0011046672079597056
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

6
chamfer_distance_1m: 0.03755127528277172; mean_d2gt_1m: 0.03621655695336805; mean_gt2d_1m: 0.03888599361217538.
precision_10cm: 0.96533203125;  recall_10cm: 0.9680065627563577;  fscore_10cm: 0.9666674420637105
precision_5cm: 0.7880859375;  recall_5cm: 0.7541700847689363;  fscore_5cm: 0.7707550832726322
precision_2cm: 0.3037109375;  recall_2cm: 0.24747060432048126;  fscore_2cm: 0.2727214980023287

7
chamfer_distance_1m: 0.06900277284869055; mean_d2gt_1m: 0.047821567096129496; mean_gt2d_1m: 0.09018397860125162.
precision_10cm: 0.91552734375;  recall_10cm: 0.6451221975358513;  fscore_10cm: 0.7568989609711303
precision_5cm: 0.6142578125;  recall_5cm: 0.37709553625530196;  fscore_5cm: 0.4673084065494571
precision_2cm: 0.2109375;  recall_2cm: 0.12967077358109472;  fscore_2cm: 0.16060929883844055

8
chamfer_distance_1m: 0.28825386424740984; mean_d2gt_1m: 0.09953788458249513; mean_gt2d_1m: 0.4769698439123246.
precision_10cm: 1.0;  recall_10cm: 0.0002668801708033093;  fscore_10cm: 0.0005336179242276779
precision_5cm: 0.0;  recall_5cm: 0.0;  fscore_5cm: 0.0
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

9
chamfer_distance_1m: 0.29509978117776053; mean_d2gt_1m: 0.1253255879147138; mean_gt2d_1m: 0.4648739744408073.
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

10
chamfer_distance_1m: 0.3762874711266405; mean_d2gt_1m: 0.28074177058832567; mean_gt2d_1m: 0.4718331716649554.
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

15
chamfer_distance_1m: 0.04792852967487405; mean_d2gt_1m: 0.06071629192879511; mean_gt2d_1m: 0.03514076742095299.
precision_10cm: 0.79052734375;  recall_10cm: 0.9799394398183194;  fscore_10cm: 0.8751013294455735
precision_5cm: 0.58984375;  recall_5cm: 0.7918243754731265;  fscore_5cm: 0.676070681489001
precision_2cm: 0.2978515625;  recall_2cm: 0.32626797880393643;  fscore_2cm: 0.3114128601721835

17
chamfer_distance_1m: 0.1480131725919886; mean_d2gt_1m: 0.09801187161905868; mean_gt2d_1m: 0.1980144735649185.
precision_10cm: 1.0;  recall_10cm: 0.0019860973187686196;  fscore_10cm: 0.00396432107044528
precision_5cm: 0.0;  recall_5cm: 0.0;  fscore_5cm: 0.0
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

26
chamfer_distance_1m: 0.10549585704086639; mean_d2gt_1m: 0.024027163617383235; mean_gt2d_1m: 0.18696455046434954.
precision_10cm: 1.0;  recall_10cm: 0.0815485996705107;  fscore_10cm: 0.1507996939598566
precision_5cm: 1.0;  recall_5cm: 0.01729818780889621;  fscore_5cm: 0.03400809683169369
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

30
chamfer_distance_1m: 0.22747898429652594; mean_d2gt_1m: 0.037182466884821665; mean_gt2d_1m: 0.4177755017082302.
precision_10cm: 1.0;  recall_10cm: 0.014688828759180518;  fscore_10cm: 0.02895238066704835
precision_5cm: 1.0;  recall_5cm: 0.0028991109393119445;  fscore_5cm: 0.005781460724776879
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

32
chamfer_distance_1m: 0.12312183674617147; mean_d2gt_1m: 0.01123836084085404; mean_gt2d_1m: 0.2350053126514889.
precision_10cm: 1.0;  recall_10cm: 0.1184803605924018;  fscore_10cm: 0.2118595260275311
precision_5cm: 1.0;  recall_5cm: 0.027688345138441726;  fscore_5cm: 0.05388471125511932
precision_2cm: 1.0;  recall_2cm: 0.003219575016097875;  fscore_2cm: 0.006418485173505087

33
chamfer_distance_1m: 0.3068842032079963; mean_d2gt_1m: 0.20827377111781747; mean_gt2d_1m: 0.40549463529817514.
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): 0.09382576164421241;
completion_avg (1m): 0.30256979889164387;
chamfer_distance_avg (1m): 0.1981977802679281;
fscore_3_avg (10cm): 0.23208720845268432;
fscore_1_avg (5cm): 0.1488693576168054;
precision_1_avg (5cm): 0.4772135416666667;
recall_1_avg (5cm): 0.15422316253553417;
fscore_2_avg (2cm): 0.05285190897054821;
