Base PCL python point cloud library for deep learning
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README.md

PPCL

Base PCL python library for deep learning, which DINK needs.

Already supported PointCloud_PointXYZI, PointCloud_PointXYZRGB, PointCloud_PointXYZRGBA ApproximateVoxelGrid. example

Already supported PointCloud_PointXYZI, PointCloud_PointXYZRGB cluster. example

PCL

QUICK SRART

1 Install Depandency

$ sudo apt-get update 

$ sudo apt-get install git build-essential linux-libc-dev 

$ sudo apt-get install cmake cmake-gui 

$ sudo apt-get install libusb-1.0-0-dev libusb-dev libudev-dev 

$ sudo apt-get install mpi-default-dev openmpi-bin openmpi-common 

$ sudo apt-get install libflann1.8 libflann-dev 

$ sudo apt-get install libeigen3-dev 

$ sudo apt-get install libboost-all-dev 

$ sudo apt-get install libvtk5.10-qt4 libvtk5.10 libvtk5-dev 

$ sudo apt-get install libqhull* libgtest-dev 

$ sudo apt-get install freeglut3-dev pkg-config 

$ sudo apt-get install libxmu-dev libxi-dev 

$ sudo apt-get install mono-complete 

$ sudo apt-get install qt-sdk openjdk-8-jdk openjdk-8-jre 

$ (sudo apt-get install libproj-dev)

2 Install libpcl-dev

$ sudo add-apt-repository ppa:v-launchpad-jochen-sprickerhof-de/pcl

$ sudo apt-get update

$ sudo apt-get install libpcl-dev

3 Install PCL

$ wget   https://github.com/PointCloudLibrary/pcl/archive/pcl-1.9.1.tar.gz

$ tar -xzvf pcl-1.9.1.tar.gz

$ cd pcl-pcl-1.9.1

$ mkdir build && cd build

$ cmake -DCMAKE_BUILD_TYPE=Release ..

$ make -j2

$ sudo make -j2 install

4 Install PPCL

$ git clone https://github.com/FPAI/PPCL

$ cd python-pcl

$ sudo python setup.py build_ext -i
$ (sudo python3 setup.py build_ext -i)

$ sudo python setup.py install
$ (sudo python3 setup.py install)

5 Validation

$ python

$ import pcl

6 Test

examples/tests/test_filters.py

run unittest TestApproximateVoxelGrid Class


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