Blur Detection using Haar Wavelet Transform

Release Build Status	Release Test Status	Debug Build Status	Debug Test Status

This repository includes the implementation of the Blur Detection for Digital Images Using Wavelet Transform paper using C++20.

Step by step usage guide

After cloning this repository to your local machine follow the steps below.

• [Optional] Do this if you do not have conan installed. Create a python environment and install the requirements.

$ python3 -m venv .venv
$ source .venv/bin/activate
$ pip install -r requirements

• Install the required packages to compile this software. You can set the build type as Debug or as Release, remember to then change the output file name from conan/debug to conan/release for more redability.

$ conan install . -sbuild_type=Release -of=conan/release --build=missing

Ps. if does not work you might need to detect your conan profile, you can do this simply running the following command:

$ conan profile detect

This basically go through your computer settings (architecture, build type, OS, the compiler etc.) and creates a conan profile. This way conan can obtain the correct packages installed according to your system.

• Run the following line to set up the compilation configuration. Please adapt the following command depending on you want to compile in debug or in release mode.

$ cmake -DCMAKE_TOOLCHAIN_FILE=conan/release/build/Debug/generators/conan_toolchain.cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTING=OFF -B build/debug -S .

• Run the following command for compilation:

$ cmake --build build/debug -j4