1. May 18, 2018.
2. DEV-C 環境安裝 OpenCV 在教學前大家當然要先安裝 'DEV-C' and 'OpenCV' 兩個程式 安裝過程我就省略了，直接從如何在 DEV-C 環境下使用 OpenCV 開始教起.
3. To use OpenCV library on windows, you have to add the IncludePath, LibraryPath, and link the ddl libs. In fact Visual Studio make all the stuff easier. There might be another solution by using MingGW compiler, but it is not recommended since you are using Windows and Visual Studio is the better choice.

IMPORTANT: mexopencv is developed against specific OpenCV releases,therefore you must be using the correct opencv & opencv_contrib versions.The latest mexopencv is only compatible with OpenCV 3.4.1.

Sep 17, 2019  Install OpenCV 4 on Raspberry Pi for C and Python development Posted on September 17, 2019 by Paul. In this article, I will show you how to install OpenCV 4 with Python and C support on Raspberry Pi. I assume that you have the latest Raspbian installed on your Raspberry Pi, which at the time of this writing is based on Debian 10 Buster.

The following instructions are meant to compile OpenCV specifically for use inmexopencv. OpenCV functionality that is not currently exposed or used bymexopencv are disabled (CUDA acceleration, OpenCL with UMat, etc..).If you intend to compile OpenCV for general use in your own C++ code, werecommend following the instructions in the OpenCV documentation.

Download OpenCV

First thing is to obtain OpenCV v3.4.1 (the latest stable version). You have anumber of options to choose from:

• download the official installer from SourceForge. This packagecontains both the source code and prebuilt binaries for Windows. You shouldget the file opencv-3.4.1-*.exe. We only need the contents of the sourcesfolder from this package since we're going to build our own binaries.

  Note: this package doesn't include the extra opencv_contrib modules,so you should obtain it using one of the other options listed below.

• (recommended) download the source tarballs directly from GitHub. Thisincludes downloading these two archives:

  • the opencv sources (tag 3.4.1):https://github.com/opencv/opencv/archive/3.4.1.zip
  • the opencv_contrib sources (tag 3.4.1):https://github.com/opencv/opencv_contrib/archive/3.4.1.zip

• clone the Git repositories from GitHub. Again there are two parts:

  • the main opencv repository:git clone https://github.com/opencv/opencv.git
  • the extra opencv_contrib repository:git clone https://github.com/opencv/opencv_contrib.git

  Once you clone the repositories, you need to switch to the stable 3.4.1tag in both (git checkout tags/3.4.1).

  Note: You'll need to have access to git either from the command-lineusing msysgit or Cygwin, or using a graphical user interface likeTortoiseGit, GitHub Desktop, SourceTree, or SmartGit.

Depending on which option you chose above, extract or move the files to somedesired location. For example, set it so that you end up with these files inthe following paths:

• C:devopencvREADME.md
• C:devopencv_contribREADME.md

Configure OpenCV

This step requires CMake and a supported C++ compiler(Visual Studio 2015 is used in the instructions below, but you could useany other version, VS2010 at the least).

Note that we must later use the same compiler for building mexopencv in MATLAB(i.e must be selected in mex -setup).

Note: Microsoft offers a full and free version of Visual Studio forpersonal use: Visual Studio Community(equivalent in functionality to the Professional Edition).

Latin urban vst mac download. We begin by generating a VS solution to build the sources.Start the cmake-gui.exe tool, and follow these steps:

1. set the source folder as C:/dev/opencv
2. set the destination folder as: C:/dev/build
3. press Configure, and choose Visual Studio 14 2015 Win64 as compiler
4. under 'BUILD' group, deselect the following:

• BUILD_DOCS, BUILD_EXAMPLES, BUILD_PACKAGE,BUILD_PERF_TESTS, BUILD_TESTS, BUILD_JAVA
• BUILD_opencv_apps, BUILD_opencv_cuda*, BUILD_opencv_cudev,BUILD_opencv_js, BUILD_opencv_java*, BUILD_opencv_python*,BUILD_opencv_ts, BUILD_opencv_viz, BUILD_opencv_world

5. under 'OPENCV' group:

• set OPENCV_EXTRA_MODULES_PATH to C:/dev/opencv_contrib/modules (Even on windows make sure you use '/' instead of' in the path as CMAKE gives an error for backslashes.)
• enable OPENCV_ENABLE_NONFREE

6. under 'WITH' group, deselect:

• WITH_CUDA, WITH_CUFFT, WITH_CUBLAS, WITH_NVCUVID,WITH_MATLAB, WITH_VTK

7. press Configure again
8. under the newly added 'BUILD' group (displayed in red), deselect thefollowing modules if possible:

• BUILD_opencv_cvv, BUILD_opencv_freetype, BUILD_opencv_hdf,BUILD_opencv_matlab, BUILD_opencv_ovis, BUILD_opencv_sfm

9. press Configure yet another time
10. press Generate
11. close CMake

Compile OpenCV

Next step is to actually build OpenCV. Open the created solution file inVisual Studio: C:devbuildOpenCV.sln, and do the following:

1. switch configuration to 'Release' mode
2. build the solution ('ALL_BUILD' target), this will take a while
3. select the 'INSTALL' project in the solution explorer, and build it
4. close Visual Studio

The resulting folder should be located at: C:devbuildinstall.

Finally you need to add the OpenCV binaries (the folder with OpenCV DLLs) tothe PATH environment variable. Following these instructions, the directoryto add is:

• C:devbuildinstallx64vc14bin

In this final step, download mexopencv project (either clone the git repo,or download as ZIP file). Say you saved it to have this path:

• C:devmexopencvREADME.markdown

Next start MATLAB, and run the following:

Assuming everything went well, you can finally verify the generated MEX-filesby running this in MATLAB:

Dev C++ 5.11

You should see something like:

C++ Opencv Tutorial

Congratulation, now you have OpenCV working in MATLAB!