![]() ![]() Open the hidden software view) /usr/local/Cellar Next (this is important in the later configuration) Step3 compiles and tests a PCL code of an exampleįirst of all, we need to build a new new directory in the project directory, or the current directory CMakeLists.txt For example ( ~/Desktop/PCL_Test/CMakeLists.txt), Write in this file: The path I downloaded here is: (through ⌘Command + ⇧Shift +. This will be installed to the relevant dependent library of PCL. Step2 uses Home-Brew to install PCL brew install pcl ![]() Open the terminal, enter: ruby -e "$(curl -insecure -fsSL )" Next I will introduce how I configure PCL on Mac OS and compile and run a sample program. It is used C++ Written and in BSD licensePublished. PCL has its own storage point cloud data format -PCD (English: Point Cloud Data), but it can also load and save data in many other formats. Each module is implemented by a smaller library (such as: libpcl_filters、 libpcl_features、 libpcl_surfaceWait), you can compile alone. PCL includes algorithms such as point cloud filtering, feature estimation, three -dimensional reconstruction, point cloud allocation, model fitting, target recognition and division. PCL(English: Point Cloud Library) is an open source algorithm library for processing the three -dimensional geometry process in the point cloud and computer vision. Step4 solves the problem of use in VS Code.įirst, let's briefly introduce it.Step3 compiles and tests a PCL code of an example.How does MAC configure the PCL library and use in VS CODE. ![]()
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