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SRCNN_Cpp

This project is an open source project of "C++ Implementation of Super-Resolution resizing with Convolutional Neural Network".

latest update

  • Pull request accepted from SRCNN_OpenCV_GCC, which has been verified in Linux environment with updated OpenCV 4. Original reporitory with OpenCV 3 has been archived in V1.0.0 branch. Thanks for the contributions from rageworx.
  • OpenCV 4 compatibility updated.
  • Supporting macOS universal binary.

Non-OpenCV models

OpenCV is too large for specific applications, you may need the following two non-OpenCV models in some cases.

Introduction

This is an open source project from original of this: SRCNN_Cpp is a C++ Implementation of Image Super-Resolution using SRCNN which is proposed by Chao Dong in 2014.

  • If you want to find the details of SRCNN algorithm, please read the paper:

    Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang. Learning a Deep Convolutional Network for Image Super-Resolution, in Proceedings of European Conference on Computer Vision (ECCV), 2014

  • If you want to download the training code(caffe) or test code(Matlab) for SRCNN, please open your browse and visit http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html for more details.

  • And thank you very much for Chao's work in SRCNN.

What changed ?

  1. Code modification from original SRCNN.
  2. OpenMP parallel processing, improved performance.
  3. Supports almost of platform - POSIX compatibled.
    • MSYS2 and MinGW-W64
    • GCC of Linux
    • LLVM or CLANG of macOS, suporting universal binary build.

License

The repo is released under the GPL v2 License (refer to the LICENSE file for details).

Example

  • Origin:

    Example

  • Bicubic interplation x1.5

    Example

  • SRCNN x1.5

    Example

Requirements

  1. Windows may need MSYS2 and MinGW-W64.
  2. You need to install latest version of OpenCV to your build environments, install opencv libraries into your system with one of these:
    • MSYS2: pacman -S /mingw-w64-x86_64-opencv
    • Debian: sudo apt-get install libopencv-dev
    • MacOS
      1. Before install Brew :
      sudo xcode-select --install 
sudo xcodebuild -license
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
      1. After installed Brew :
      brew update
brew install opencv4
  3. Manual staic build OpenCV [Refer to OpenCV Installation]
    • Clone or download OpenCV source to you base level directory of this sources.
    cd ~/<my_working_directory>
git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git
    • Go to opencv, then make a 'build' directory.
    cd ~/opencv
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j8 # runs 8 jobs in parallel
sudo make install
    • In case of MSYS2 Makefile, type like this.
    cmake -G "MSYS Makefiles" -DBUILD_SHARED_LIBS=OFF -DENABLE_PRECOMPILED_HEADERS=OFF -DWITH_IPP=OFF -DWITH_TBB=OFF -DWITH_FFMPEG=OFF -DWITH_MSMF=OFF -DWITH_VFW=OFF -DWITH_OPENMP=ON ..
    • This project doesn't using video decoding, and there's too many erorrs occurs on Video processing source in OpenCV ( damn sucks cmake options, they're useless )

Compile and Use

You can compile the C/C++ files on the command line in your POSIX shell.

make

If the compile is successful, you will see linked binary in 'bin' directory.

./bin/srcnn ./Pictures/test.jpg

The generated image will be ./Pictures/test_resized.jpg.