Download BOOK ». Get BOOK. Mastering OpenCV 4 with Python. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. OpenCV 4 with Python Blueprints. Authors: Dr. You can go through the messages and get a deeper understanding about the dependencies.
Selecting the Generator for configuration and generation. When you are done with the configuration step then all the flags will be displayed to you as shown in the screenshot. The Value column confirms the selection of feature to be installed in the system.
We will discuss about some of the flags as follows:. You can find those examples under the samples folder of the extracted zip on OpenCV. The zlib compression utility is a general purpose utility that is useful for various image formats other than PNG, therefore, it can be used without having libpng. It is a library for reading and writing Tagged Image File Format files.
It is similar to other libraries namely libpng and libjpeg which is used to work with. It is a project to create a reference implementation of the encoding and decoding specified in the JPEG Part In other words, it helps in coding and manipulation of images. This library can handle image data in a variety of formats. It has got various utilities such as cjpeg and djpeg to convert the JPEG data into other image file formats.
It also has rdjpgcom and wrjpgcom which helps to insert and extract textual comments in JPEG files. This library is used to handle PNG format images. It is platform independent and is written in C language. It uses zlib for compression and decompression of PNG files.
This will store the output of the compiler after the compilation of your program. If the file remains unchanged and recompilation is done then the output of compilation will be directly taken from the ccache.
Precompiled headers are the header files that are compiled into an intermediate form which are faster to process for the compiler. This folder is the container of the projects which you want to do using OpenCV. Profiling is an aspect of software programming where a programmer can determine the parts in the program code that are time consuming and need to be re-written.
It will help you to provide correct compiler options on the command line i. This optimization will be done when the program requests explicit optimization i. The linker will pull all the object files and combine them to optimize the code. The ThinLTO bitcode is augmented with a compact summary of the module. During the link step, only the summaries are read and merged into a combined summary index, which includes an index of function locations for later cross-module function importing.
Fast and efficient whole-program analysis is then performed on the combined summary index. It is compatible with your choice of compilers, languages, operating systems, and linking and threading models. The pkg-config provides command line options for compiling the programs i. OpenCV 4. It is a collection of application programming interfaces APIs for handling tasks related to multimedia, especially game programming and video on Microsoft platforms.
As a library, it presents a single abstract data model to the calling application for all supported formats. It may also be built with a variety of useful command line interface utilities for data translation and processing. OpenGL is a library which is used to render 3D scenes.
These 3D scenes can be later processed using OpenCV library in the form of images and videos. Thread Building Block library. The library provides a wide range of features for parallel programming, including generic parallel algorithms, concurrent containers, a scalable memory allocator, work-stealing task scheduler, and low-level synchronization primitives.
If you want to know more about this library click on this link. Qt is not a programming language on its own. Qt also comes with an interactive graphical tool called Qt Designer with functions as a code generator for Widgets based GUIs. Now we will choose some of the flags to install OpenCV in our way. Selecting the flags for the installation of Python and C examples. Providing Extra Modules path i. Now we will click on the Generate button to generate the solution file of the Visual Studio Project.
After the generation is complete, you will reach a stage which looks like the snapshot as shown below:. Generating the Visual Studio Project Files i. Build Folder contains important files e. You can see that there are a lot of files being generated which are essential for OpenCV source installation. In the next step we will go through the project file i. Click on the OpenCV. You will see a window as shown in the following snapshot.
Click on the Build option to finally build the library. Remember, this will use all the CPU threads and it will take some time to complete. Please have patience while this process completes. As we are building the library in Release Mode, the Optimizations flag are turned ON, therefore it will remove all those steps which are related to Debug Mode.
This will also consume a little time to complete. Well, it is automatically being done for you. You might see sequence of numbers in the Output window which are out of order. It is about different threads which are completing their job as soon as they can.
Output of completion of Building the Library. This will finally install the library. This step is not going to take too long to complete. The time of completion will depend upon the speed of the machine. When the installation is complete, the output will look something like the next screenshot. Step Opening Command Prompt and starting Python Interpreter.
OpenCV is now installed on your computer. Have fun building something cool with it. We write practical articles on AI, Machine Learning and computer vision. Join others receiving Deep Learning blog posts by email.
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