2
chamfer_distance_1m: 0.3018628227428031; mean_d2gt_1m: 0.5369910611695314; mean_gt2d_1m: 0.06673458431607485.
precision_10cm: 0.37255859375;  recall_10cm: 0.8321202160131487;  fscore_10cm: 0.5146824737397749
precision_5cm: 0.22314453125;  recall_5cm: 0.538389293261329;  fscore_5cm: 0.31551750173230364
precision_2cm: 0.07958984375;  recall_2cm: 0.0683258980981451;  fscore_2cm: 0.07352898505755708

3
chamfer_distance_1m: 0.24467607845170633; mean_d2gt_1m: 0.045197231525939116; mean_gt2d_1m: 0.44415492537747353.
precision_10cm: 1.0;  recall_10cm: 0.005887894488930758;  fscore_10cm: 0.011706860103705625
precision_5cm: 1.0;  recall_5cm: 0.00023551577955723034;  fscore_5cm: 0.00047092064516239925
precision_2cm: 0.0;  recall_2cm: 0.0;  fscore_2cm: 0.0

4
chamfer_distance_1m: 0.0408700401442435; mean_d2gt_1m: 0.03894522807476282; mean_gt2d_1m: 0.042794852213724185.
precision_10cm: 0.9072265625;  recall_10cm: 0.9088817303267372;  fscore_10cm: 0.9080533871685555
precision_5cm: 0.7744140625;  recall_5cm: 0.7441325356649793;  fscore_5cm: 0.7589713702355265
precision_2cm: 0.3974609375;  recall_2cm: 0.3548090197883111;  fscore_2cm: 0.3749258425053423

5
chamfer_distance_1m: 0.10019346704847404; mean_d2gt_1m: 0.12270596828900909; mean_gt2d_1m: 0.077680965807939.
precision_10cm: 0.54443359375;  recall_10cm: 0.6993222427603204;  fscore_10cm: 0.6122335390560143
precision_5cm: 0.38232421875;  recall_5cm: 0.563154651879236;  fscore_5cm: 0.4554467936330113
precision_2cm: 0.1298828125;  recall_2cm: 0.20948860135551448;  fscore_2cm: 0.16034920336916522

accuracy_avg (1m): 0.18595987226481064;
completion_avg (1m): 0.1578413319288029;
chamfer_distance_avg (1m): 0.17190060209680674;
fscore_3_avg (10cm): 0.5116690650170126;
fscore_1_avg (5cm): 0.382601646561501;
precision_1_avg (5cm): 0.594970703125;
recall_1_avg (5cm): 0.4614779991462754;
fscore_2_avg (2cm): 0.15220100773301615;
