Opencv-projects

Title

My projects in master degree semester 1， including my learning and debugging processes.

Installation

• All the code required to get started

Clone

• Clone this repo to your local machine using https://github.com/LiuSirui99/Opencv-projects.git

Setup

• For MacOS:

  I am using MacOS Catalina version 10.15.6.

  -Opencv-python:

  For setting up the opencv-python running env I am using pycharm as the editor. Just go to the terminal with the command: $ pip3 install opencv-python

  For testing your settings, clone the Translation.py in testopencv folder, choose your image and press run. You should see an new window which displays the result of translation of your image.

  -Opencv-c++:

  1. Install Xcode

  2. Install Homebrew

  3. Install OpenCV

     $ brew install opencv in case you already have opencv installed, run $ brew upgrade opencv for ensure the latest version.

  4. Install pkg-config

     pkg-config is a helper tool used when compiling applications and libraries. It helps you insert the correct compiler options on the command line rather than hard-coding values. $ brew install pkg-config

  5. View OpenCV linker flags $ pkg-config --cflags --libs /usr/local/Cellar/opencv/4.3.0_5/lib/pkgconfig/opencv4.pc

  6. Test your env Git clone one of my xcode projects and then modify the path of include hearder and library as it installed in your machine.

     • Run in xcode:
     1. Set the Header Search Path /usr/local/Cellar/opencv/<version_number>/include
     2. Set the Library Search Path /usr/local/Cellar/opencv/<version_number>/lib
     3. Set the Other Linker Flags Set the other linker flags with all the flag values obtained after running pkg-config command above.
     4. Press Cmd+R to run your Xcode project.
     • Run from terminal : g++ $(pkg-config --cflags --libs /usr/local/Cellar/opencv/4.3.0_5/lib/pkgconfig/opencv4.pc) -std=c++11 main.cpp -o myoutput

• For Ubuntu:

  Installation.

  Install the opencv release from official website: https://opencv.org/releases/.

  Extract the directory and apply

  $ cd ~/opencv
  $ mkdir build
  $ cd build
  

  Configuring.

  Run cmake []

  For example

  $ cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
  

  build type: CMAKE_BUILD_TYPE=Release\Debug to build with modules from opencv_contrib set OPENCV_EXTRA_MODULES_PATH to <path to opencv_contrib/modules/>

  set BUILD_DOCS for building documents

  set BUILD_EXAMPLES to build all examples

  Build.

  From build directory execute make, it is recommended to do this in several threads

  For example

  $ make -j7 # runs 7 jobs in parallel
  

  Library.

  To install libraries, execute the following command from build directory

  $ sudo make install
  

  Install the dependencies:

  $ sudo apt-get install build-essential libgtk2.0-dev libvtk5-dev libjpeg-dev libtiff4-dev libjasper-dev libopenexr-dev libtbb-dev
  $ [compiler] sudo apt-get install build-essential
  $ [required] sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
  

  Testing.

  For testing your settings, clone the repo https://github.com/opencv/opencv_extra.

  set OPENCV_TEST_DATA_PATH environment variable to <path to opencv_extra/testdata>.

  execute tests from build directory.

  For example

  $ <cmake_build_dir>/bin/opencv_test_core
  

Contributing

To get started...

Step 1

• Option 1

  • 🍴 Fork this repo!

• Option 2

  • 👯 Clone this repo to your local machine using https://github.com/LiuSirui99/Opencv-projects.git

Step 2

• HACK AWAY! 🔨🔨🔨

Step 3

• 🔃 Create a new pull request using https://github.com/LiuSirui99/Opencv-projects/compare/.

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Usage

Follow the step by step opencv installation and codding process. 
Including basic core operations, image processing, 
camera calibrations, 3D reconstruction and object detections.

License

Liu Sirui (liusirui1234@gmail.com)