RnRi / RangeNet-

RangeNet++

LiDAR-Bonnetal Training

This part of the framework deals with the training of segmentation networks for point cloud data using range images.

Parameter setting

--dataset /mnt/Data/Dataset/Kitti/dataset/ --arch_cfg /home/ran/Documents/Projects/rangeNet_plus_plus/tasks/semantic/config/arch/squeezesegV2_crf.yaml

Dependencies

First you need to install the nvidia driver and CUDA, so have fun!

• CUDA Installation guide: link

• System dependencies:

  $ sudo apt-get update 
  $ sudo apt-get install -yqq  build-essential ninja-build \
    python3-dev python3-pip apt-utils curl git cmake unzip autoconf autogen \
    libtool mlocate zlib1g-dev python3-numpy python3-wheel wget \
    software-properties-common openjdk-8-jdk libpng-dev  \
    libxft-dev ffmpeg python3-pyqt5.qtopengl
  $ sudo updatedb

• Python dependencies

  $ sudo pip3 install -r requirements.txt

• Trouble shooting

  if you can't open the visualizer, please follow the command below:

  conda create -n pyqt4_env python=3.6
  activate pyqt4_env
  conda install -c conda-forge pyqt=5*