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 This project contains the docker file and other associated files required to collect RGB and Depth images from Spots 5 cameras as well as obtaining the initial pose estimation from Spots body frame. The image that this docker file builds is meant to be turned into a container directly on the COREI/O.
 
 ## How to run the docker file
-1. On a local machine run       ``docker build ./`` to create an Ubuntu image with VI, Python and BD pre-requisites.
-2. Update the name of the image as desired ``docker tag <image-id> <desired-image-name>``
-3. Save the image into a .tar file ``docker save <image-name>:<version> -o <filename-of-tar>``
-4. Copy across this image to the CORI/O ``scp -P 20022 <tar-file> spot@<robots-ip>`` 
-5. On the COREI/O load in the image ``sudo docker load -i <tar-file>``
+1. On a local machine run `docker build ./` to create an Ubuntu image with VI, Python and BD pre-requisites.
+2. Update the name of the image as desired `docker tag <image-id> <desired-image-name>`
+3. Save the image into a .tar file `docker save <image-name>:<version> -o <filename-of-tar>`
+4. Copy across this image to the CORI/O `scp -P 20022 <tar-file> spot@<robots-ip>`
+5. On the COREI/O load in the image `sudo docker load -i <tar-file>`
 6. Run container `sudo docker run --name dev_env  -it --network=host -v /data:/data -v /home/spot/data-collection:/data-collection <image-name>:<version>`
 
 ## How to run the data collection