cleaned reade to check deployment

Author: gerni17

README.md

@@ -27,162 +27,6 @@ terrain can be efficiently generated.
 }
 ```
 
-## Installation
-
-#### CUDA & cuDNN
-
-The tested versions are CUDA10.2, 11.6
-
-[CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#ubuntu-installation)  
-[cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#install-linux).
-
-Check how to install [here](doc/cuda-installation.md).
-
-#### Python dependencies
-
-You will need
-
-- [cupy](https://cupy.chainer.org/)
-- [numpy](https://www.numpy.org/)
-- [scipy](https://www.scipy.org/)
-- [shapely==1.7.1](https://github.com/Toblerity/Shapely)
-
-For traversability filter, either of
-
-- [torch](https://pytorch.org/)
-- [chainer](https://chainer.org/)
-
-Optionally, OpenCV for inpainting filter.
-
-- [opencv-python](https://opencv.org/)
-
-Install `numpy`, `scipy`, `shapely`, `opencv-python` with the following command.
-
-```bash
-pip3 install -r requirements.txt
-```
-
-#### Cupy
-
-cupy can be installed with specific CUDA versions. (On jetson, only "from source" i.e. `pip install cupy` could work)
-> For CUDA 10.2
-> pip install cupy-cuda102
->
-> For CUDA 11.0
-> pip install cupy-cuda110
->
-> For CUDA 11.1
-> pip install cupy-cuda111
->
-> For CUDA 11.2
-> pip install cupy-cuda112
->
-> For CUDA 11.3
-> pip install cupy-cuda113
->
-> For CUDA 11.4
-> pip install cupy-cuda114
->
-> For CUDA 11.5
-> pip install cupy-cuda115
->
-> For CUDA 11.6
-> pip install cupy-cuda116
->
-> (Install CuPy from source)
-> % pip install cupy
-
-#### Traversability filter
-
-You can choose either pytorch, or chainer to run the CNN based traversability filter.  
-Install by following the official documents.
-
-- [torch](https://pytorch.org/)
-- [chainer](https://chainer.org/)
-
-Pytorch uses ~2GB more GPU memory than Chainer, but runs a bit faster.  
-Use parameter `use_chainer` to select which backend to use.
-
-#### ROS package dependencies
-
-- [pybind11_catkin](https://github.com/ipab-slmc/pybind11_catkin)
-- [grid_map](https://github.com/ANYbotics/grid_map)
-
-```bash
-sudo apt install ros-noetic-pybind11-catkin
-sudo apt install ros-noetic-grid-map-core ros-noetic-grid-map-msgs
-```
-
-### On Jetson
-
-#### CUDA CuDNN
-
-`CUDA` and `cuDNN` can be installed via apt. It comes with nvidia-jetpack. The tested version is jetpack 4.5 with L4T 32.5.0.
-
-#### python dependencies
-
-On jetson, you need the version for its CPU arch:
-
-```bash
-wget https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl -O torch-1.8.0-cp36-cp36m-linux_aarch64.whl
-pip3 install Cython
-pip3 install numpy==1.19.5 torch-1.8.0-cp36-cp36m-linux_aarch64.whl
-```
-
-Also, you need to install cupy with
-
-```bash
-pip3 install cupy
-```
-
-This builds the packages from source so it would take time.
-
-#### ROS dependencies
-
-- [pybind11_catkin](https://github.com/ipab-slmc/pybind11_catkin)
-- [grid_map](https://github.com/ANYbotics/grid_map)
-
-```bash
-sudo apt install ros-melodic-pybind11-catkin
-sudo apt install ros-melodic-grid-map-core ros-melodic-grid-map-msgs
-```
-
-Also, on jetson you need fortran (should already be installed).
-
-```bash
-sudo apt install gfortran
-```
-
-If the Jetson is set up with Jetpack 4.5 with ROS Melodic the following package is additionally required:
-
-```bash
-git clone [email protected]:ros/filters.git -b noetic-devel
-```
-
-### Plane segmentation dependencies
-
-#### OpenCV
-
-```bash
-sudo apt install libopencv-dev
-```
-
-#### Eigen
-
-```bash
-sudo apt install libeigen3-dev
-```
-
-#### CGAL
-
-CGAL5 is required. It will be automatically downloaded and installed into the catkin workspace by the cgal5_catkin package. Make sure you
-have the third-party libaries installed on you machine:
-
-```bash
-sudo apt install libgmp-dev
-sudo apt install libmpfr-dev
-sudo apt install libboost-all-dev
-```
 
 ## Usage