《Python计算机视觉编程》是计算机视觉编程的实践指南，依赖Python语言讲解了基础理论与算法，并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。另外，书中附带的练习还能让读者巩固并学会应用编程知识。("Python Computer Vision Programming" is a practical guide to computer vision programming. It relies on the Python language to explain basic theories and algorithms, and analyzes object recognition, content-based image search, optical character recognition, optical flow method, tracking, and detailed analysis through a large number of examples. 3D reconstruction, stereo imaging, augmented reality, pose estimation, panorama creation, image segmentation, noise reduction, image grouping and other technologies. In addition, the exercises included in the book also allow the reader to consolidate and learn the knowledge of application programming.)