This repository highlights computer vision capabilities in SAS Viya. The included Jupyter notebooks demonstrate image analysis pipelines created from the image and biomedimage action set.
- Python version 3 or greater is required
- Install SAS Scripting Wrapper for Analytics Transfer (SWAT) for Python using
pip install swat or
conda install -c sas-institute swat- Access to a SAS Viya 3.5 environment with Visual Data Mining and Machine Learning (VDMML) is required
- A user login to your SAS Viya back-end is required. See your system administrator for details if you do not have a SAS Viya account.
CVPy, a high-level Python library that provides helpful visualization APIs, is required for some notebooks. To install CVPy, through PyPI, use the following command:
pip install sas-cvpyTo install the latest version of CVPy through Github, use the following command:
pip install git+https://github.com/sassoftware/python-cvpy.gitFor more information on CVPy, see the Github page https://github.com/sassoftware/python-cvpy.
We welcome your contributions! Please read CONTRIBUTING.md for details on how to submit contributions to this project.
This project is licensed under the Apache 2.0 License.
Image action set: https://go.documentation.sas.com/doc/en/pgmsascdc/default/casactml/casactml_image_toc.htm
Biomedimage action set: https://go.documentation.sas.com/doc/en/pgmsascdc/default/casactml/casactml_biomedimage_toc.htm