Summary
In this chapter, we explored the basics of Mahotas, which is a NumPy-based image processing library. We looked at a few image processing-related functions and learned how to combine Mahotas and OpenCV code for image processing. We also learned the names of other NumPy- and non-NumPy-based image processing libraries. You can explore those libraries further.
The last topic we learned about, the Jupyter Notebook, is very handy for quickly prototyping ideas and sharing code electronically. Many computer vision and data science professionals now use Jupyter notebooks for their Python programming projects.
In the Appendix section of this book, I have explained all the topics that I could not list under this chapter. These topics will be immensely useful to anyone who uses Raspberry Pi for various purposes.
