CURAC Academy 2021 - Workshop

System requirements

• Ubuntu 18.04 or MacOSX. Windows 10 might work as well, but was not tested.
• git (installation instructions)
• Python 3.7 or later (download)
• Miniconda or Anaconda
• requests and tqdm package installed (pip3 install requests tqdm).

Installation

1. Clone this repository. git clone https://github.com/Health-Robotics-and-Automation-KIT/CURAC-Academy-2021.git
2. Go into the cloned folder. cd CURAC-Academy-2021
3. Execute the setup script python3 setup_env.py. This will create a new conda environment, install all required packages and download a dataset. If you do not want to use the gpu version of pytorch, call the script as python3 setup_env.py --cpu. This will be the case if you are on a laptop or desktop without a strong dedicated graphics card.
4. Activate the conda environment conda activate curac
5. Start a jupyter notebook server jupyter notebook.
6. Open chrome or firefox and go to http://localhost:8888/tree.
7. Open the Introduction Tutorial.ipynb notebook to get started.
8. Continue to the Skin Cancer Classification.ipynb notebook.

Information

More information on HERA and CURAC can be found on their respective websites.