A generic, tree-based image classification scheme base on random and convolutional approaches
To get the latest code using git, simply type:
git clone https://github.com/jm-begon/randconv.git
If you don't have git installed, you can download a zip or tarball of the latest code: https://github.com/jm-begon/randconv/archive/master.zip
As any Python packages, to install RandConv, simply do:
python setup.py install
in the source code directory.
To run the test suite, you need nosetests and the coverage modules. Run the test suite using:
nosetests
from the root of the project.
To contribute, fork the library, make your improvements and send back a pull request.