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Hobbyist Bundle - Raspberry Pi for Computer Vision

A great fit if this is your first time your working with computer vision or the Raspberry Pi.

  • All chapters inside the Hobbyist Bundle in PDF format.
  • All highly documented source code listings, ensuring you can run the examples on your RPi.
  • downloadable pre-configured Raspbian .img file with Python, OpenCV, and all necessary machine learning + deep learning libraries pre-installed.)No need to configure your Pi, just flash the .img file to your SD card and boot — you'll be up and running in minutes).
  • FREE updates as the book is revised and updated.

What others are saying

I have a Masters in data science, and I had taken many computer vision courses, but none as clear, practical, with fundamental theory, and well explained like Raspberry Pi for Computer Vision with Python. This book was essential in my professional development.

Edgar Isusquiza

RPi4CV is an excellent and well-written guide to the nuts and bolts of computer vision and the Raspberry Pi. The book walks you through a great variety of fun and interesting projects, with excellent and well-explained source code included. The very best part is his code will be easily adaptable to your own projects, and I can honestly say that there are few people whose code I enjoy "stealing" more than Adrian's.

David Bonn

Raspberry Pi for Computer Vision has been very helpful for me and my students (11-19 years old) at an informal school of Robot Intelligence. We began using the RPi with little knowledge about Python and Linux, yet the example codes in the book are very useful for us. The older students are successfully advanced using the book. We love your book.

Agnes B Simon

I primarily purchased Raspberry Pi for Computer Vision for the pre-configured disk image because I spent more than a month attempting to compile and install the software myself. I have made significant progress on my project that would have not been impossible to achieve without your products. The book gave me the details I needed to rapidly jump in and being implementing the software as a solution.

Josh Karrasch