The 2nd edition of Practical Python and OpenCV + Case Studies is officially online!
This 2nd edition is a MAJOR UPDATE to the book and includes:
I’ve wanted to offer Practical Python and OpenCV in print ever since I wrote the book a year ago, but I struggled to find to publisher — that’s all changed now, the hardcopy editions are ready to go and available for purchase right now!
Full compatibility with OpenCV 3 and Python 3.
Over the past few months, I have been hard at work updating all source code and explanations in Practical Python and OpenCV + Case Studies to ensure full compatibility with both the newly released OpenCV 3.0 library and the Python 3 programming language. Now you’ll be able to learn the differences between OpenCV 2.4 and OpenCV 3 — and use the Python 3 as well!
Raspberry Pi Support.
Own a Raspberry Pi and want to use it to detect faces in video streams? Track objects in video? Or recognize handwriting? No problem! The new source code downloads for all chapters in Practical Python and OpenCV + Case Studies will work on the Raspberry Pi out of the box, no modifications required.
Come code alongside me — I’ve recorded 16 video tutorials covering over 4+ hours of content from Practical Python and OpenCV. These videos are a fantastic asset to help you learn OpenCV and computer vision.
An updated virtual machine.
One of my favorite features of the 2nd edition of the book is the brand new, freshly rebuilt Ubuntu VirtualBox virtual machine. This VM has been re-engineered from the ground up and includes installations of both Python 2.7 and Python 3 with OpenCV 3!
Grab your copy.
Ready to pickup your own copy 2nd edition copy of Practical Python and OpenCV + Case Studies?
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