some things in the readme got mixed up during last big merge

README.md

@@ -22,23 +22,18 @@ To run the server, the following is needed:
 Without Nvidia Docker, the object detection pipeline will use the CPU to run our neural networks, and WebODM will also run without the GPU.
 
 ## Installing
-1. Clone the repository: `git clone -b 360video --recursive https://github.com/RoblabWh/argus.git`
+1. Clone the repository: `git clone --recursive https://github.com/RoblabWh/argus.git`
 2. Run `./install.sh` from the repository directory. # take a coffee, building all images need up to 20 minutes 
-3. Run `./argus.sh build` to reduce running time. (requires one completion of `./install.sh`)
-4. In case something goes wrong, try `git submodule update --init --recursive`
+3. In case something goes wrong, try `git submodule update --init --recursive`
 
 ## Running with Installation
 1. Run `argus up`: this will create and start all the containers
 
 ## Running without Installation
-1. Clone the repository. Make sure to use `--recursive` or `--recurse-submodules` to also get the detection and stella vslam dense submodule: `git clone -b 360video --recursive https://github.com/RoblabWh/argus.git`
+1. Clone the repository. Make sure to use `--recursive` or `--recurse-submodules` to also get the detection submodule  and stella vslam dense submodule.
 2. Navigate to the `argus` directory.
 3. Run `./argus.sh up --build`
 
-## Stopping the Running
-1. Use `Ctrl+C` to gracefully stop argus, another `Ctrl+C` will force the containers to stop.
-2. Use `./argus.sh down` to remove the containers, networkts, volumes and images that got created with `argus up`
-
 ## Utilizing the systemd Service
 1. Install ARGUS.
 2. Enable the service with `systemctl enable argus`.
@@ -73,4 +68,4 @@ Short Demo video on YouTube: [ARGUS - Aerial Rescue and Geospatial Utility Syste
 - Since ARGUS is still in development, starting multiple tasks simultaneously can lead to unexpected behavior or, in rare cases, system crashes.
 - Currently, ARGUS primarily supports and is tested with DJI drones (DJI M30T, as well as multiple Mavic and Mavic Enterprise models).
 - In order to generate fast orthophotos, the UAVs gimbal should orient the camera orthogonal towards ground (-90°).
-- If WebODM has many 'WARNING Bad Request: /api/token-auth/' during startup and the redirection from ARGUS does not work, try pulling a new WebODM image with './argus.sh pull --ignore-buildable' and rebuild the server with './argus.sh up --build'.
+- If WebODM has many 'WARNING Bad Request: /api/token-auth/' during startup and the redirection from ARGUS does not work, try pulling a new WebODM image with './argus.sh pull --ignore-buildable' and rebuild the server with './argus.sh up --build'.