基于使用 Semtech SX1302与树莓派 Zero之低功耗Gateway方案.zip

opencv4.54.4+opencv_contrib-4.x完整源码包，带xfeatures2d组件 opencv4.5.4缺少文件如ffmpeg.dll组件完整包，可编译，不再缺组件了，翻墙好不容易下载下来的（另外，目录下的downloads复制到build的目录下） cmake不再发现红色的错误缺少组件的提示

主要为大家详细介绍了OpenCV实现简单摄像头视频监控程序，具有一定的参考价值，感兴趣的小伙伴们可以参考一下

原来是csdn上下载的，代码参数和结构不好，修改了一下，也备注了主要关键处，方便大家使用。双边滤波比较简单。我的平台是vs2013,opencv配置是 2.4.9实现原理是C++，基本的图像读取操作复制等还是用的opencv库函数。

CloudFlare DDNS script/Raspberry pi IPV6 DDNS Solution cloudflare ddns 脚本/树莓派IPV6 DDNS解决方案 中文 | 更新 概述 本脚本是基于cloudflare API的DDNS脚本，支持IPV4和IPV6，可通过网络方式和本地方式获取脚本安装主机的IP地址，理论支持所有使用linux系统的主机，已在debian和ubuntu上测试可用。 使用脚本前需要做的 一台可联网的liunx设备 拥有一个域名，免费的或者收费的都可以（中国大陆的域名需要备案） 注册一个CloudFlare账户 ( ), 并将需要使用的域名添加到账户上，完成配置后根据需要添加服务设备的IPV6地址添加一个AAAA解析，并设为仅进行DNS解析 查询CloudFlare账户的Globel API Key并记录下来，用于后续配置 使用方法 打开命令

双目视觉StereoBM算法OpenCV源代码注释

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.

本文为大家分享了使用opencv处理两张图片帧差的具体代码，供大家参考，具体内容如下 这个程序是两张图片做帧差，用C++实现的，把不同的地方用框框起来，仔细读一下程序，应该还是蛮简单的哈哈，opencv处理图片的基础。 opencv配置不用我说了吧，源码cmake编译，然后导入vs即可。 #include #include using namespace std; using namespace cv; int main() { Mat currentframe, previousframe; Mat img1, img2,

基于OpenCV和Python的课堂考勤系统的设计与实现.pdf

opencv-4.6.0-vc14-vc15.exe