QtGameEngine：Qt框架的游戏引擎

QT下实现和演示CRC校验的小程序，短小，精悍。演示CRC如何实现，CRC部分很容易进行移植自己的程序。

在QT 框架下， 描画线段。 工作原理： 根据两点扩展成面，进行描画。

该demo支持根据日志类型，根据时间范围，根据日志内容搜索日志。同时它支持分页查看日志，支持日志导出。

《Qt应用编程系列丛书：Qt Creator快速入门》是基于Qt Creator集成开发环境的入门书籍，详细介绍了Qt Creator开发环境的使用和Qt基本知识点的应用。本书内容主要包括Qt的基本应用，以及Qt在图形动画、影音媒体、数据处理和网络通信方面的应用内容。 本书的内容全面、实用，讲解通俗易懂，适合没有Qt编程基础、有Qt编程基础但是没有形成知识框架以及想学习Qt某一方面应用的读者。对于想进一步学习Qt开发实例或者Qt Quick的读者，可以学习《Qt及Qt Quick开发实战精解》一书。

该源码使用Qt可以可视化展示选择排序算法实现效果，通过可视化的方式和实时显示算法比较和移动的次数，方便初学者理解选择排序算法的时间复杂度

双目视觉StereoBM算法OpenCV源代码注释

一款Qt开源飞行控件，有“航速表”、“姿态表”、“航向表”等常规飞行仪表，原博主的下载链接失效了，我这边上传之前下载过的，仅作给自己用的保存作用。 仅作个人研究学习作用，严禁用于商业用途，如产生任何问题，与本人无关

基于QT的LINUX组态软件研究与开发.PDF

Build real-world computer vision applications and develop cool demos using OpenCV for Python, About This Book, Learn how to apply complex visual effects to images using geometric transformations and image filtersExtract features from an image and use them to develop advanced applicationsBuild algorithms to help you understand the image content and perform visual searches, Who This Book Is For, This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on., What You Will Learn, Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like imageDetect and track various body parts such as the face, nose, eyes, ears, and mouthStitch multiple images of a scene together to create a panoramic imageMake an object disappear from an imageIdentify different shapes, segment an image, and track an object in a live videoRecognize an object in an image and build a visual search engineReconstruct a 3D map from imagesBuild an augmented reality application, In Detail, Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel., This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications., This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples., The book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation., Style and approach, This is a conversational-style book filled with hands-on examples that are really easy to understand. Each topic is explained very clearly and is followed by a programmatic implementation so that the concept is solidified. Each topic contributes to something bigger in the following chapters, which helps you understand how to piece things together to build something big and complex.