Merge pull request #314 from una-auxme/274-feature-discuss-how-to-dea…

…l-with-b5

Removed b5 from project

README.md

@@ -23,26 +23,12 @@ As the project is still in early development, these requirements are subject to
 
 ## Installation
 
-To run the project you have to install [b5](https://github.com/team23/b5)
-and [docker](https://docs.docker.com/engine/install/) with NVIDIA GPU support,
+To run the project you have to install [docker](https://docs.docker.com/engine/install/) with NVIDIA GPU support,
 [nvidia-docker](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker).
-`b5` is used to simplify some of the docker commands and to provide a more user-friendly interface.
 `docker` and `nvidia-docker` are used to run the project in a containerized environment with GPU support.
 
-Afterwards, you can set up and execute the project with the following two commands:
-
-```bash
-# Setup project
-b5 install
-
-# Run project
-b5 run
-```
-
 More detailed instructions about setup and execution can be found [here](./doc/01_general/Readme.md).
 
-More available b5 commands are documented [here](./doc/01_general/03_commands.md).
-
 ## Development
 
 If you contribute to this project please read the guidelines first. They can be found [here](./doc/02_development/Readme.md).

doc/01_general/02_installation.md

@@ -1,38 +1,12 @@
 # 🛠️ Installation
 
-To run the project you have to install [b5](https://github.com/team23/b5) and [docker](https://docs.docker.com/engine/install/) with NVIDIA GPU support, [nvidia-docker](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker).
+To run the project you have to install [docker](https://docs.docker.com/engine/install/) with NVIDIA GPU support, [nvidia-docker](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker).
 
-For development, we further recommend PyCharm Professional. More information about its installation can be found in [PyCharm Setup](../02_development/06_pycharm_setup.md)
+For development, we recommend Visual Studio Code with the plugins that are recommended inside the `.vscode` folder.
 
 ## Installation
 
-If not yet installed first install b5 and docker as described in section [b5 installation](#b5-installation) and [Docker with NVIDIA GPU support](#docker-with-nvidia-gpu-support).
-
-After that setting up the project and executing it is as easy as that:
-
-```shell
-# Setup project
-b5 install
-
-# Run project
-b5 run
-```
-
-## b5 installation
-
-Make sure you have installed python and pip. If not yet installed, you can do by the following (Ubuntu):
-
-```shell
-# Install python3
-sudo apt install python3
-```
-
-Afterwards just install b5 by running:
-
-```shell
-# Install b5
-pip install b5
-```
+If not yet installed first install docker as described in section [Docker with NVIDIA GPU support](#docker-with-nvidia-gpu-support).
 
 ## Docker with NVIDIA GPU support
 
@@ -90,20 +64,6 @@ sudo systemctl restart docker
 
 ## 🚨 Common Problems
 
-### `b5: command not found`
-
----
-
-1. If you already installed b5 (`pip install b5`) try to log out and log back in.
-
-2. If that doesn't help add this line to your `~/.bash_profile` or `~/.bashrc`:
-
-    ```shell
-    export PATH=$PATH:$HOME/.local/bin
-    ```
-
-([possible reason](https://stackoverflow.com/a/73256004))
-
 ### Vulkan device not available
 
 Cannot find a compatible Vulkan Device.