You can follow the instructions below to build Qt 5.9.2 from sources using MinGW, and statically. To be able to proceed further, you need to make sure you have all the prerequisites on your PC, which are mentioned in this post, then return here. Continue reading “How to Build Qt 5.9.2 Static Using MinGW”
In this post you’ll find information about how to build Qt from source. We’ll be building the latest version of Qt, released about a week ago, using its source codes, both dynamically and statically and with various customized configurations. So without further ado, let’s start.
In this post I’m sharing the required steps for building OpenCV 3.3.X (to be precise, OpenCV 3.3.0 which was released about a week ago) for Android. You can also download the pre-built libraries from here but it’s always a good idea to build the libraries yourself in case you want any special configurations such as Nvidia Carotene, OpenCV World and so on. So here it is:
In this post I will describe how to build Qt 5.7 statically for Windows using MSVC 14 compiler or in other words Microsoft Visual C++ 2015 which is included in Microsoft Visual Studio 2015. Quite obviously you need to install Microsoft Visual Studio 2015 (Community edition is free) before continuing with this guide. You can find it here: https://www.visualstudio.com/
In this post I’ll describe how to build a static version of Qt under Linux (Ubuntu flavor) and I will use Qt 5.7.0 and Ubuntu 16.04 64-Bit for that matter. Static builds ease the process of app deployment under Linux cause it is quite complex (much more complex than Windows and Mac OS X) so without further ado, here it is.
This post describes how to build an static version of OpenCV for Linux operating systems. I am going to use OpenCV version 3.1.0 and Ubuntu 16.04 64-bit but the process should be more or less the same under CentOS or other flavors of Linux. So let’s start.
OpenCV 2.4.13 was released just a few days ago and as a tradition I had to check if a static build with Microsoft Visual C++ 2010 (MSVC2010) 32-bit produced any errors or not. Fortunately, everything went quite smoothly (except a few common warnings here and there) and I was able to successfully build it so if you need to build the latest OpenCV release statically using MSVC2010 you can follow the steps below:
If you have already seen my Guide on How to Build Qt 5.5 Static wit MSVC then you probably won’t find anything new in this article. This only covers the paths and configurations for Qt 5.6 and it’s titled MSVC 2010 because Qt 5.6 installation includes pre-built libraries for all Compiler versions except MSVC 2010.
OpenCV 3.1 was released yesterday and with a first look I noticed that prebuilt libraries for x86 VC10 (MSVC2010) are nowhere to be found in the installation folder. In fact there is no x86 folder to begin with. Some of my recent apps all are built using MSVC2010 so I had to build OpenCV myself. Here is what I did and what I suggest you should do.
OpenCV 2.4.11 users may have noticed that it does not provide pre-built binaries (Libs and DLLs) for VC14 (Visual Studio 2015) Unfortunately it is also the case with Qt 5.5.1 (At least it’s true at the time of writing this article) so if you are going to use either one of them you have to build it yourself.
I was also faced with this obstacle so I decided to write a guide for anyone who wishes to built OpenCV for VC14.To do that, just follow the steps below: