I get the below output:
object 0.00 0 0.00 894.229 502.883 1119.527 720.144 0.00 0.00 0.00 0.00 0.00 0.00 0.00 49.112
object 0.00 0 0.00 603.052 330.254 835.900 541.218 0.00 0.00 0.00 0.00 0.00 0.00 0.00 39.005
object 0.00 0 0.00 192.706 600.167 324.702 737.964 0.00 0.00 0.00 0.00 0.00 0.00 0.00 2.074
object 0.00 0 0.00 87.231 486.534 230.734 629.929 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.747
using the following config for inferencing:
clustering_config{
clustering_algorithm: DBSCAN
coverage_threshold: 0.005
dbscan_eps: 0.3
dbscan_min_samples: 1
dbscan_confidence_threshold: 0.6
minimum_bounding_box_height: 4
}
What do the numbers 49.112, 39.005, 2.074 and 1.747 in the last Kitti column represent? Are these percentages bounded between 0 and 100%?
And how do they relate (if any) to the dbscan_confidence_threshold?
Thanks