A lot of changes been made since I posted a tutorial of using OpenCV library on iPhone/iPad devices. It was the time of iOS 4.x and OpenCV 2.1. The time to rewrite the whole sample project has come. With this post I announce that I going to update my sample project and I ask for your help. My idea is to write a project which will demonstrate use of several common computer vision algorithms.
It’s christmas time and i finally managed to deal with all my affairs before holidays. It’s probably the last post in the 2011 year. And i have a little present for you guys – it’s latest build of OpenCV library for the iOS platform, an updated build scipt and updated OpenCV in iPhone sample project with iOS 5 SDK support! OpenCV build script for iOS SDK Fortunately, OpenCV team has introduced toolchains for device and simulator builds.
Hello everyone! Today i want to introduce the all new tutorial project of using OpenCV in your iOS projects. In this post i’ll show you the right and correct way of interoperation between native OpenCV C/C++ API and Objective-C. I know many of you asked me how to solve this nasty “statement-expressions are allowed only inside functions” error. Here is a solution. The conflict occurs because both UIKit.h and opencv_core.
OpenCV iOS FAQ This FAQ contains answers to numerous similar questions I was asked after my posts about using OpenCV with iOS SDK. Step by step OpenCV Tutorial OpenCV Tutorial is a sample demonstration project for iOS devices that main goal is to show how to use OpenCV library in XCOde projects to write image processing code for iPhone and iPad devices. There are several step-by-step guides where i describe in details all development process.
My first post in this blog was about building OpenCV for iOS devices (iPhone, iPad, iPod and so on). But the build process that i used is not trivial at all. I received a lot of feedbacks and questions about building OpenCV, setting up XCode build environment. Today i made your life much easier. I have a gift - a build script, which will **build OpenCV **library for your iPhone, iPad, iPod or any other iOS based Apple device right in one click!
Almost all image processing algorithms uses gray scale images as input source. But almost all hardware video sources provide frames in RGB/BGR(A) formats. So gray scale conversion is very popular operation. Although it’s expensive enough to cause CPU-bound bottlenecks while running on mobile processors. In this post i will show you how to use ARM NEON intrinsic to get significant performance boost of BGRA to GRAY conversion. Color representation Pixel color can be presented in different ways.
After publishing Building OpenCV for iOS article many of readers asked me how to use OpenCV within ObjectiveC code, because they encountered compilation errors. In this post I’ll show you how to use OpenCV and ObjectiveC to make some image processing. This post is outdated Current version of OpenCV supports iOS toolchain and can be build in much easier way. You are welcome to read this post for educational purposes.
This post is outdated. Current version of OpenCV supports iOS toolchain and can be build in much easier way. You are welcome to read this post for educational purposes. It's 99.9% chance that you will not be able to build OpenCV using instructions decribed here. OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision. This library has a huge number of algorithms.