/color-space-python

formulating 2D density plot histogram for color space conversion from face extracted using opencv caffemodel

Primary LanguageJupyter NotebookMIT LicenseMIT

Research: Color Space

Formulating 2D density plot histogram for color space conversion from face extracted using opencv caffemodel

How to start

  1. run python3 -m venv <env name> to create virtual environment
  2. run source <env name>/bin/activate to activate virtual environment
  3. run pip install -r requirements.txt
  4. run jupyter notebook to open jupyter notebook and start coding
  5. run deactivate to deactivate virtual environment once the work has been completed or to be continued on a later date