learning opencv

OpenCV For iOS 1: connect to OpenCV 3.0, iosopencv For more information about this article, see Instant OpenCV for iOS with the latest development platform. The Development Environment used in this series of articles is: 1) Xcode 6 2) OpenCV for iOS 3.0.0 alpha Next, Step by Step describes how to use

Introduction to the code of Kinect bridge OpenCV KinectBridge With OpenCV KinectBridge With MATLAB OpenCV profile and project download Driver version: Kinect forWindows SDK v1.7 Project name: KinectBridgeWithOpenCVBasics-D2D Programming Language: C ++ Program configuration and running Documentation. This document only describes how to configure

This paper describes how to build a OPENCV environment under the MAC system. Software Requirements: Mac OS (Mine is 10.11.6), Xcode (My is 8.1), OpenCV (not recommended to the official website to download first, the specific follow-up will be explained). 1. Installation HomebrewBrew official website Installation method: Open Mac Terminal, enter the following command: Ruby-e "$ (curl-fssl htt

Intel open-source computer vision library opencv What is opencv? Opencv is an Intel open-source computer vision library. It consists of a series of C functions and a small number of C ++ classes, implementing many common algorithms for image processing and computer vision. Important features Opencv has a cross-platfo

The OPENCV provides a Python interface with key features such as: Provides a python interface that is very similar to the latest C + + interface in OpenCV 2.x, and includes C interfaces not included in C + + Provides bindings for all major components in the OpenCV 2.x: Cxcore (almost complete), Cxflann (complete), Cv (complete), Cvaux (c + + part alm

Today, most of the AR is based on mobile devices, so here we try to invoke the OpenCV function in Android to do some related testing. Since OpenCV is based on C and some C + + languages, and Android Development uses Java, how can I invoke classes or code in the OpenCV library in Java? This requires the use of jni , but before using JNI, we first need to configure

In the previous chapter, we completed the configuration of the Android Platform development environment, and also found a way to remove the OpenCV Manager API, then we start from scratch, the completion of a personal program, the implementation of the following functions:1. Identify the specified picture and draw the edge of the picture with a colored box2. Display a 3D model on the identified imageIt is not difficult to see that this is actually the

First of all, my computer is Win7 64-bit operating system, installed is 32 for the Vs2008, to compile the OpenCv2.4.3 and TBB4.2; The process of compiling is a lot of people have said the blog of one of the most detailed, also most comprehensive: http://blog.csdn.net/shuxiao9058/article/details/7529684 The following content I just paste this article, easy to see ( where the green part is different from the original text, but also we need to pay attention to): Earlier, we talked about how to u

Preparatory work1. Download and install Android Studio(process slightly). 2. Download android OpenCV:https://opencv.org/releases.html, find Android pack click to download. Download and extract the following files, where the SDK folder is the file required for Android Studio integration OpenCV . Integration Steps1. Create the project in Android Studio and import the OpenCV in the import module , file-New

Jump from electronic information engineering to computer, in the study of the image processing, found OpenCV is very fun, want to learn, there is no special good textbooks, the best document is the official tutorials, in the laboratory is busy, I hope every night to take some time to see this, not all understand, At least you can go deep. All code writing is done under ubuntu16.04+opencv2.4.9+g++5.4.0+cmake3.5.1. Previously written articles about Wind

1. Environmental Preparedness Ubuntu16.04 ros-kinetic opencv3.3.1 VIDEO-STREAM-OPENCV a USB camera VIDEO-STREAM-OPENCV is a USB camera driver, for the introduction of it, please see GITHUB:HTTPS://GITHUB.COM/ROS-DRIVERS/VIDEO_STREAM_OPENCV Install VIDEO-STREAM-OPENCV CD ~/catkin_ws/src/ git clone https://github.com/ros-drivers/video_stream_opencv.git CD ~/catk

One, using the GPU module provided in the OPENCV At present, many GPU functions have been provided in OpenCV, and the GPU modules provided by OPENCV can be used to accelerate most image processing. Basic use method, please refer to: http://www.cnblogs.com/dwdxdy/p/3244508.html The advantage of this method is simple, using Gpumat to manage the data transfer betwee

more or less stable version can be foundHttp://opencvlibrary.svn.sourceforge.net/svnroot/opencvlibrary/tags/latest_tested_snapshot-Cxcore, CV, cvaux:* Cxcore now uses LAPACK (clapack 3.1.1.1 in opencv 2.0) in its varous linear algebra Functions(Such as solve, invert, SVD, determinant, Eigen etc.) and the corresponding old-style functions(Cvsolve, cvinvert etc .)* Lots of new feature and object detectors and descriptors have been added(There is no doc