1
chamfer_distance_1m: 0.015816186942330817; mean_d2gt_1m: 0.01634196181741309; mean_gt2d_1m: 0.015290412067248542.
precision_10cm: 1.0;  recall_10cm: 1.0;  fscore_10cm: 0.999999995
precision_5cm: 1.0;  recall_5cm: 1.0;  fscore_5cm: 0.999999995
precision_2cm: 0.7744360902255639;  recall_2cm: 0.8109385550303849;  fscore_2cm: 0.7922670920578198

2
chamfer_distance_1m: 0.1546467925914785; mean_d2gt_1m: 0.11735574974451643; mean_gt2d_1m: 0.1919378354384406.
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: 0.04929031305791329; mean_d2gt_1m: 0.050456697102043487; mean_gt2d_1m: 0.04812392901378309.
precision_10cm: 0.9948892674616695;  recall_10cm: 1.0;  fscore_10cm: 0.9974380821050713
precision_5cm: 0.49176604202157864;  recall_5cm: 0.4994413407821229;  fscore_5cm: 0.49557397001177367
precision_2cm: 0.03180011357183418;  recall_2cm: 0.0335195530726257;  fscore_2cm: 0.0326371975289632

6
chamfer_distance_1m: 0.19150616841083332; mean_d2gt_1m: 0.027612871862031273; mean_gt2d_1m: 0.35539946495963537.
precision_10cm: 1.0;  recall_10cm: 0.0238230289279637;  fscore_10cm: 0.04653739566733835
precision_5cm: 1.0;  recall_5cm: 0.009075439591605219;  fscore_5cm: 0.01798763332370884
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

8
chamfer_distance_1m: 0.16186914441614614; mean_d2gt_1m: 0.260628067685006; mean_gt2d_1m: 0.06311022114728623.
precision_10cm: 0.47049769112365314;  recall_10cm: 0.8884097035040431;  fscore_10cm: 0.6151923417990659
precision_5cm: 0.2786044125192406;  recall_5cm: 0.4636118598382749;  fscore_5cm: 0.34805032688565674
precision_2cm: 0.030271934325295024;  recall_2cm: 0.03504043126684636;  fscore_2cm: 0.032482102340421364

9
chamfer_distance_1m: 0.20701792663718643; mean_d2gt_1m: 0.0035245897442279673; mean_gt2d_1m: 0.4105112635301449.
precision_10cm: 1.0;  recall_10cm: 0.0063324538258575196;  fscore_10cm: 0.012585212250398652
precision_5cm: 1.0;  recall_5cm: 0.0010554089709762533;  fscore_5cm: 0.0021085924934328795
precision_2cm: 1.0;  recall_2cm: 0.0010554089709762533;  fscore_2cm: 0.0021085924934328795

10
chamfer_distance_1m: 0.018488247683483103; mean_d2gt_1m: 0.019176889358534226; mean_gt2d_1m: 0.017799606008431976.
precision_10cm: 1.0;  recall_10cm: 1.0;  fscore_10cm: 0.999999995
precision_5cm: 0.9936157864190366;  recall_5cm: 0.9994226327944573;  fscore_5cm: 0.9965107452954929
precision_2cm: 0.6506094022054556;  recall_2cm: 0.6836027713625866;  fscore_2cm: 0.6666981397708447

11
chamfer_distance_1m: 0.15969970426266267; mean_d2gt_1m: 0.06517543626986555; mean_gt2d_1m: 0.2542239722554598.
precision_10cm: 1.0;  recall_10cm: 0.03246376811594203;  fscore_10cm: 0.06288601848131173
precision_5cm: 0.0;  recall_5cm: 0.0;  fscore_5cm: 0.0
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

12
chamfer_distance_1m: 0.15328520996104922; mean_d2gt_1m: 0.06270626562639173; mean_gt2d_1m: 0.24386415429570674.
precision_10cm: 1.0;  recall_10cm: 0.04208065458796026;  fscore_10cm: 0.08076275861926485
precision_5cm: 0.0;  recall_5cm: 0.0;  fscore_5cm: 0.0
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

13
chamfer_distance_1m: 0.02136873042409835; mean_d2gt_1m: 0.022053012967724574; mean_gt2d_1m: 0.020684447880472124.
precision_10cm: 0.9918887601390498;  recall_10cm: 0.9865575686732905;  fscore_10cm: 0.9892159765976484
precision_5cm: 0.9536500579374276;  recall_5cm: 0.9649327878433664;  fscore_5cm: 0.9592582423635371
precision_2cm: 0.5892236384704519;  recall_2cm: 0.6504967855055523;  fscore_2cm: 0.6183459952170693

14
chamfer_distance_1m: 0.15327866007671007; mean_d2gt_1m: 0.06405630639727987; mean_gt2d_1m: 0.24250101375614025.
precision_10cm: 1.0;  recall_10cm: 0.0369284876905041;  fscore_10cm: 0.07122668105419606
precision_5cm: 0.0;  recall_5cm: 0.0;  fscore_5cm: 0.0
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

32
chamfer_distance_1m: 0.08873411682016855; mean_d2gt_1m: 0.10123960896092353; mean_gt2d_1m: 0.07622862467941356.
precision_10cm: 0.5496476617552851;  recall_10cm: 0.6823081800887761;  fscore_10cm: 0.6088352845127284
precision_5cm: 0.3215887251761691;  recall_5cm: 0.38998097653772984;  fscore_5cm: 0.352498098283731
precision_2cm: 0.11723254324151185;  recall_2cm: 0.12111604311984782;  fscore_2cm: 0.11914265054669504

accuracy_avg (1m): 0.06752728812799648;
completion_avg (1m): 0.16163957875268029;
chamfer_distance_avg (1m): 0.11458343344033838;
fscore_3_avg (10cm): 0.4570566450905853;
fscore_1_avg (5cm): 0.34766563363811104;
precision_1_avg (5cm): 0.5032687520061211;
recall_1_avg (5cm): 0.3606267038632111;
fscore_2_avg (2cm): 0.18864014749627053;
