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

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA 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. (Limited-time offer)

Table of Contents

• Introducing CUDA and Getting Started with CUDA
• Parallel Programming using CUDA C
• Threads, Synchronization, and Memory
• Advanced Concepts in CUDA
• Getting Started with OpenCV with CUDA Support
• Basic Computer Vision Operations Using OpenCV and CUDA
• Object Detection and Tracking Using OpenCV and CUDA
• Introduction to the Jetson TX1 Development Board and Installing OpenCV on Jetson TX1
• Deploying Computer Vision Applications on Jetson TX1
• Getting Started with PyCUDA
• Working with PyCUDA
• Basic Computer Vision Applications Using PyCUDA

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