Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA 评分:
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.上传时间：2018-10 大小：11.55MB
Real-Time Computer Vision with OpenCV2018-09-25
Computer vision is a rapidly growing field devoted to analyzing, modifying, and high-level understanding of images. Its objective is to determine what is happening in front of a camera and use that understanding to control a computer or robotic system, or to provide people with new images that are m
- GPU CUDA编程1 存储器类型 数据交换 设备 共享数据 原子操作atomic 常量 纹理存储器 向量加法 点乘 矩阵乘法 事件计时 stream异步 排序 直方图 3942018-12-27CUDA编程 参考 参考2 参考3 The CMake version of cuda_by_example CUDA Program：CUDA image rgb to gray；CUDA KLT CUDA 编程 加速 计算机视觉 ！！！推荐 CUDA存储器类型： 每个线程拥有自己的 register寄存器 and loacal memory 局部内存 每个线程块拥有一块 shared mem...