depth_topic: registered depth image topic Note:If subscribing to RGB and depth image topics individually for use with LabelFusion, make sure the depth topic is registered into the RGB image frame to prevent alignment problems. compress_rgb: use JPEG compression for RGB images ...
compression: bz2 [1598/1598 chunks; 29.14%] uncompressed: 1.6 GB @ 54.1 MB/s compressed: 479.4 MB @ 15.8 MB/s (29.14%) types: sensor_msgs/CameraInfo [c9a58c1b0b154e0e6da7578cb991d214] sensor_msgs/Image [060021388200f6f0f447d0fcd9c64743] sensor_msgs/Imu [6a62c6daae103f4ff57a132...
Note: Due to information loss in video compression, main_slam.py tracking may peform worse with the available KITTI videos than with the original KITTI image sequences. The available videos are intended to be used for a first quick test. Please, download and use the original KITTI image ...
the maximal compression the padded layer can undergo for any patient, which can be measured oncea priori. We fit a plane in the form\(ax+by+cz+d=0\)to the points in\(\mathcal {Q}\)corresponding to the table top. This is done using RANSAC, where the largest planar region is found...