@@ -55,15 +55,15 @@ If these optional parameters are not specified, the build process will ask for t
Once the Docker image has been created and the [Docker daemon is running](https://docs.docker.com/config/daemon/), you can shell into the container mounting a local folder where the output files will be stored, using:
```shell
sudo docker run -t-i--volume$HOME/favad_output/:/root/sample/output/ favad /bin/bash
sudo docker run -t-i--volume$HOME/favad_output/:/home/favad/sample/output/ favad /bin/bash
```
Using the previous command, the ouput files generated inside the Docker container will be available in $HOME/faved_output/ of your local machine. Please note that the content of this folder will be overwritten, if the folder is not empty.
At this point you can run the workflow for fingerprinting and visualizing defects on the sample dataset inside the Docker container: