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range_net_plus_plus

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rangeNet++

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# 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](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)

- System dependencies:

```sh
  $ 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

```sh
  $ sudo pip3 install -r requirements.txt
  ```
  
- Trouble shooting

if you can't open the visualizer, please follow the command below:
  ```sh
  conda create -n pyqt4_env python=3.6
  activate pyqt4_env
  conda install -c conda-forge pyqt=5*
  ```

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