This is the demo study project at MRaDS Conference 2017.
To be able to follow you will have to do the following steps.
If not, install Anaconda or VirtualEnv and create one.
If not, register and wait for the admin approval. The admin will approve. Make sure you can login. Go to your Dashboard. Go to your available Tools. Download the Sumatra Tool Credentials. It will a file named: Sumatra-config.json I contains your tool and user credentials to talk to this CoRR instance.
Go to the github page of the demo
Download or git clone the study. Now you have the study. Open it as a folder to see what is in there. Move the Sumatra-config.json file here. Rename Sumatra-config.json to config.json.
Go to the github page of corr-sumatra
Install gitpython:
$ pip install gitpython
Install ConfigParser:
$ pip install ConfigParser
Install Jinja 2.8.1
$ pip install jinja2==2.8.1
Go to a place outside of the study. Download or git clone it. Go inside the folder. Install the module:
$ python setup.py install
Install tesseract For Mac:
$ brew install tesseract
For Ubuntu:
$ sudo apt-get install tesseract-ocr
For all add:
$ pip install pytesseract
For Linux: $ sudo apt-get install
Install graphviz needed by Dask
$ pip install graphviz
Make sure you have everything in version control with git.
$ git init
$ git add --all
$ git commit -m "Setup commit"
Now initialize Sumatra.
$ smt init -s config.json SEM-Images-Sumatra
$ python code/combined.py
Run (In your terminal):
$ jupyter notebook
Run the notebook named "sumatra"