Book Image

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

By : Bhaumik Vaidya
Book Image

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

By: Bhaumik Vaidya

Overview of this book

Computer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages. Nowadays, in computer vision, there is a need to process large images in real time, which is difficult to handle for OpenCV on its own. This is where CUDA comes into the picture, allowing OpenCV to leverage powerful NVDIA GPUs. This book provides a detailed overview of integrating OpenCV with CUDA for practical applications. To start with, you’ll understand GPU programming with CUDA, an essential aspect for computer vision developers who have never worked with GPUs. You’ll then move on to exploring OpenCV acceleration with GPUs and CUDA by walking through some practical examples. Once you have got to grips with the core concepts, you’ll familiarize yourself with deploying OpenCV applications on NVIDIA Jetson TX1, which is popular for computer vision and deep learning applications. The last chapters of the book explain PyCUDA, a Python library that leverages the power of CUDA and GPUs for accelerations and can be used by computer vision developers who use OpenCV with Python. By the end of this book, you’ll have enhanced computer vision applications with the help of this book's hands-on approach.
Table of Contents (15 chapters)

Computer vision using Python and OpenCV on Jetson TX1

Up till now, we have developed all computer vision applications using C/C++, OpenCV, and CUDA. Jetson TX1 also supports the Python programming language for computer vision applications. When OpenCV is compiled on Jetson TX1, it also installs Python binaries for OpenCV. So programmers who are comfortable in Python programming language can use a Python interface for OpenCV in developing computer vision applications and deploying them on Jetson TX1. Python also comes preinstalled with Jetson TX1 as is the case for all Linux operating systems. Windows users can install Python separately. The installation procedure and advantages of Python are explained in the next chapter.

One disadvantage of using Python is that OpenCV Python interface is still not greatly benefited by CUDA acceleration. Still, the ease of learning Python and...