CMakeJSON
PCL
CMakeJSON | PCL | |
---|---|---|
2 | 17 | |
12 | 9,468 | |
- | 1.1% | |
0.0 | 9.3 | |
over 2 years ago | 3 days ago | |
CMake | C++ | |
Boost Software License 1.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CMakeJSON
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How to Use CMake Without the Agonizing Pain - Part 2
I was still thinking if I should add/allow globs to https://github.com/Neumann-A/CMakeJSON or not. Probably not going to do it.
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Building a Dual Shared and Static Library with CMake
what about this?
PCL
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Basic question for c++ fuzzing. How to launch inside of framework?
Did you read the https://github.com/PointCloudLibrary/pcl/blob/master/test/fuzz/build.sh
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Did you hear about using a web browser as GUI using C99?
If you need some specific UI, you could choose a UI library which are better for your needs, eg. link1, link2 or link3.
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Import many photogrammetry software's scenes into Blender
Point Cloud Library files (PCD) 2
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Automatic feature extraction for 3D multi-modal medical images
Point Cloud Library has a bunch of 3D features to choose from. They're for unstructured point clouds but I think they should also work for volumetric data by converting it to point clouds in a 3D grid or something similar.
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Point cloud processing in Rust?
Hello! I am looking for ways to process geometric data (mainly point clouds). I am familiar with Point cloud Library (PCL) and Point Data Abstraction Library (PDAL) in C++ but can't seem to find an equivalent crate in Rust (Pasture seems to be experimental). Are there any stable/robust alternatives at the moment?
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Aligning point clouds given global poses
If the point clouds are roughly aligned after applying their global pose, then usually ICP (iterated closest point) is what you want. There is probably what you need in PCL: https://pointclouds.org/
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How to transform a perspective view image to orthographic view image (with intel realsense rgbd camera)
If you're using python then you can use something like https://github.com/daavoo/pyntcloud to manipulate / render from different angles. If you're using c++ try https://pointclouds.org/
- Integrating multiple point clouds?
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How to build / reinstall a library with CUDA support?
I am currently working on a project that uses PCL. PCL supports CUDA (which I require for my project), however I can't seem to figure out how to build / install PCL with CUDA support. I looked at the PCL default.nix, and it seems that it can be built with CUDA support if the "cudatoolkit" package is installed. However, when I add PCL to the buildInputs in my project's shell.nix, it downloads a version of PCL that doesn't have CUDA support and my project fails to build.
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Point Cloud Library
Are you aware of the tutorials on https://pointclouds.org ?
What are some alternatives?
Sharpmake - Sharpmake is an open-source C#-based solution for generating project definition files, such as Visual Studio projects and solutions, GNU makefiles, Xcode projects, etc.
Open3D - Open3D: A Modern Library for 3D Data Processing
Laravel Mix - The power of webpack, distilled for the rest of us.
ROS - Core ROS packages
SharedStaticStarter - A simple starter project showing how to distribute both static and shared libraries in CMake.
FCL - Flexible Collision Library
MRPT - :zap: The Mobile Robot Programming Toolkit (MRPT)
three.js - JavaScript 3D Library.
DART - DART: Dynamic Animation and Robotics Toolkit
Robotics Library (RL) - The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.
draco - Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
moveit - :robot: The MoveIt motion planning framework