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INSTALLATION_GUIDE.md

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Installation's Guide

The following instructions will guide you in preparing your system before running the experiments proposed in the paper.

Software Requirements

  • NVIDIA's cuda version 10.1
  • Python 3.6.9

Required Python Packages

pip install ninja==1.9.0.post1 yacs==0.1.7 cython==0.29.17 matplotlib==3.2.1 
pip install tqdm==4.45.0 opencv-python==4.2.0.34
pip install torchvision==0.5.0
pip install scipy==1.4.1

Source Code Preparation

To start source code preparation, please, clone this repository as follows:

git clone https://github.com/robotology/online-detection
cd online-detection
export HOME_DIR=$PWD

Mask R-CNN Installation

One of the dependencies of this code is the source code of Mask R-CNN [2]. The following instructions will guide you in the installation of mask rcnn's repository and dependencies.

Set installation directory

cd $HOME_DIR/external
mkdir mask_rcnn
cd mask_rcnn
export INSTALL_DIR=$PWD

Install pycocotools

cd $INSTALL_DIR
git clone https://github.com/cocodataset/cocoapi.git
cd cocoapi/PythonAPI
python setup.py build_ext install

Install cityscapesScripts

In order to complete the installation of the repository cityscapesScripts, after cloning the repository, you may need to change in the setup.py file the line 27. Specifically, from with open("README.md") as f: to with open("README.md", encoding='utf-8') as f:

cd $INSTALL_DIR
git clone https://github.com/mcordts/cityscapesScripts.git
cd cityscapesScripts/
python setup.py build_ext install

Install apex

cd $INSTALL_DIR
git clone https://github.com/NVIDIA/apex.git
cd apex
git checkout 8cf5ae61beff5738c87150b6c4348603eeb159d5
python setup.py install --cuda_ext --cpp_ext

Install maskrcnn-benchmark

cd $INSTALL_DIR
git clone https://github.com/facebookresearch/maskrcnn-benchmark.git
cd maskrcnn-benchmark
python setup.py build develop

Note: at the end of the installation of Mask R-CNN source code, remember to unset INSTALL_DIR .

FALKON

One of the dependencies of this code is the repository of FALKON [3]. The following instructions will guide you in the installation of the source code.

cd $HOME_DIR/external
git clone https://github.com/FalkonML/falkon.git
cd falkon
git reset --hard 0d96c685dbdff7048e7410e5ca419b21e337789d
git submodule update --init --recursive
pip install ./keops
pip install .