PCL-Python-Helper (10%)
pcl_helper.py
random_color_gen()
: Generates a random set of r,g,b values
Return: a 3-tuple with r,g,b values (range 0-255)
ros_to_pcl(sensor_msgs/PointCloud2)
: Converts sensor_msgs/PointCloud2 to XYZRGB Point Cloud
Return: pcl.PointCloud_PointXYZRGB
pcl_to_ros(pcl.PointCloud_PointXYZRGB)
: Converts XYZRGB Point Cloud to sensor_msgs/PointCloud2
Return: sensor_msgs/PointCloud2
XYZRGB_to_XYZ(XYZRGB_cloud)
: Converts XYZRGB Point Cloud to XYZ Point CLoud
Return: pcl.PointCloud
XYZ_to_XYZRGB(XYZ_cloud, color)
:Takes a 3-tuple as color and adds it to XYZ Point Cloud
Return: pcl.PointCloud_PointXYZRGB
rgb_to_float(color)
:Converts 3-tuple color to a single float32
Return: rgb packed as a single float32
get_color_list(cluster_count)
: Creates a list of 3-tuple (rgb) with length of the list = cluster_count
Return: get_color_list.color_list
코드 다운로드 : wget https://gist.githubusercontent.com/adioshun/f35919c895631314394aa1762c24334c/raw/eb3b6493b964007f3103314e3208a48395f0f973/pcl_helper.py
Documentation for pcl_helper.py
pcl_helper.py
pcl_helper.py
contains useful functions for working with point cloud data with ROS and PCL. The file itself is located in Exercise-2/sensor_stick/scripts/
. While the helper functions are required for Exercise-2, they could also come in handy if you want to explore more deeply in Exercise-1. Here's a brief description of the contents:
Functions:
random_color_gen()
ros_to_pcl(sensor_msgs/PointCloud2)
pcl_to_ros(pcl.PointCloud_PointXYZRGB)
XYZRGB_to_XYZ(XYZRGB_cloud)
XYZ_to_XYZRGB(XYZ_cloud, color)
rgb_to_float(color)
get_color_list(cluster_count)
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