So far, we have seen how to install Python, OpenCV, and a few other packages (numpy and matplotlib) from scratch, or using Anaconda distribution, which includes many popular data-science packages. In this way, some knowledge about the main packages for scientific computing, data science, machine learning, and computer vision is a key point because they offer powerful computational tools. Throughout this book, many Python packages will be used. Not all of the cited packages in this section will, but a comprehensive list is provided for the sake of completeness in order to show the potential of Python in topics related to the content of this book:
- NumPy (http://www.numpy.org/) provides support for large, multi-dimensional arrays. NumPy is a key library in computer vision because...
