kandi X-RAY | python-pcl Summary
kandi X-RAY | python-pcl Summary
Python bindings to the pointcloud library (pcl)
Top functions reviewed by kandi - BETA
- Get the runtime environment for the given plat_spec
- Try to find the Visual Studio version
- Find Visual C ++ version
- Find the Visual C ++ version
- Resolve the source code of the module
- Import object by fullname
- Convert a depth color to cloud
python-pcl Key Features
python-pcl Examples and Code Snippets
Generates a random set of r,g,b values Return: a 3-tuple with r,g,b values (range 0-255) Converts sensor_msgs/PointCloud2 to XYZRGB Point Cloud Return: pcl.PointCloud_PointXYZRGB Converts XYZRGB Point Cloud to sensor_msgs/PointCloud2 Return: sensor
$ mkdir -p ~/catkin_ws/src $ cd ~/catkin_ws/ $ catkin_make $ cd ~/catkin_ws/src $ git clone https://github.com/udacity/RoboND-Perception-Project.git $ cd ~/catkin_ws $ rosdep install --from-paths src --ignore-src --rosdistro=kinetic -y $ cd ~/catk
conda create --name locus_env python=3.6 conda activate locus_env pip install -r requirements.txt ./utils/get_segmap_data.bash
sudo add-apt-repository ppa:sweptlaser/python3-pcl sudo apt update sudo apt install python3-pcl
import pypcd pc = pypcd.PointCloud.from_path('table_scene_lms400.pcd')
pip install open3d-python==0.3.0.0
class_names = dict([(name, cls) for name, cls in pcl.__dict__.items() if isinstance(cls, type)]) for name, cls in class_names.items(): print(name)
PointCloud PointCloud_PointXYZI PointCloud_PointXYZRGB PointClo
Trending Discussions on python-pcl
I am using
rospy to receive pointclouds. For processing these pointclouds, there is a package called
python-pcl, I was unable to get it running, since it was extremely buggy and non-functional, tons of issues on Github, etc.
I wish to know if there is another library in Python for processing pointclouds? I am receiving a pointcloud over ROS as follows:...
ANSWERAnswered 2019-Feb-19 at 15:25
There is a python library called "open3D" which provides a stable platform for Point cloud processing. Read the docs here: http://www.open3d.org/docs/
To make it work with ROS you need to install the older version of open3D by using pip as
When I try to install python-pcl(PCL is the point cloud library for presentation like laser radar data. I followed the instruction on https://github.com/strawlab/python-pcl ,and I have already copied travis/pcl-2d-1.8.pc file to /usr/local/lib/pkgconfig folder) in my computer. I typed
AppledeMacBook-Pro-3:python-pcl-0.3.0rc1 apple$ python setup.py install in my terminal.Then I encountered a problem below:
ANSWERAnswered 2018-Dec-18 at 08:42
This is a special issue with current MacOS-installations. You could tweak
setup.py and add, as the warning suggest,
-std=libc++ to the compile-options, i.e.
a = 580991.3636
b = np.float32(a)
I'm after b
I'm hoping this is an easy one, any ideas? I'm also assuming it is my misunderstanding of floats causing this. I know python is dynamic when it comes to dtypes, but I need it to be in float32 for a specific library (python-pcl)....
ANSWERAnswered 2018-Nov-25 at 16:50
Float32 can only offer between 6 and 9 digits of precision.
Float32 works by storing the sign in 1 bit, the exponent in 8 bits and the value in 23 bits (also called the fraction). So you can represent a wide range of real numbers at the cost of precision.
If you need it to be more precise it has to be a double or use the python's library decimal.
Environment: Python-PCL, WIndows 10, Python 3.6
I need to downsample point clouds to a specific number of points. These point clouds vary in size and hence I am stuck. From going through documentation, I understand there are only
RadiusOutlierRemoval are the options available.
In VoxelGrid, the leaf size doesnt guarantee the number of points, Radius removal doesnt help in retaining the shape, and statistical outlier mostly helps in removing noise.
Is there any solution to this? It is possible to use
numpy.random.choice()and hoping for a miracle?
numpy.random.choice works but only if you don't care about the geometric shape of your point cloud, which I do. Anyway to use VoxelGrid dynamically?
ANSWERAnswered 2018-Aug-23 at 00:24
Unfortunately, the answer is no. The number of output points using PCL's VoxelGrid is always going to be a function of the number of occupied voxels. The only way to control the number of occupied voxels is by altering the leaf size, and there is no dynamic way of doing this.
Alternately, you may have luck using Farthest Point Sampling, as it would allow you to select N points and has nice blue noise properties, but to the best of my knowledge this is not available in PCL.
I'm working on a shared Python project using
conda to manage dependencies.
I have two libraries that are causing me a problem,
numpy 1.7.*. There is only one
conda package that I can see:
ANSWERAnswered 2017-Aug-25 at 08:36
I think maybe you should install another version of opencv.
conda search -c conda-forge opencv
No vulnerabilities reported
You can use python-pcl like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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