Who this book is for

This book is a go-to guide for developers working with OpenCV who now want to learn how to process more complex image data by taking advantage of GPU processing. Most computer vision engineers or developers face problems when they try to process complex image data in real time. That is where the acceleration of computer vision algorithms using GPUs will help them in developing algorithms that can work on complex image data in real time. Most people think that hardware acceleration can only be done using FPGA and ASIC design, and for that, they need knowledge of hardware description languages such as Verilog or VHDL. However, that was only true before the invention of CUDA, which leverages the power of Nvidia GPUs and can be used to accelerate algorithms by using programming languages such as C++ and Python with CUDA. This book will help those developers in learning about these concepts by helping them to develop practical applications. This book will help developers to deploy computer vision applications on embedded platforms such as Nvidia Jetson TX1.