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laplacian-foveation

Installation

laplace-foveation requires a Python distribution (with NumPy and pybind11 packages installed), OpenCV 4, a C++ compiler and CMake.

Windows

These steps assume the Anaconda Python Distribution is used, OpenCV is downloaded and extracted, and Visual Studio is installed.

  • On Windows 11, you might need to install the Media Feature Pack
  • Open an Anaconda Prompt and install pybind11 and opencv packages: 
    conda install -c conda-forge pybind11
pip install opencv-python
  • Clone this repository and create a build directory in the root directory (laplacian-foveation/build)
  • Open CMake and specify the cloned repository directory as source and the created build subdirectory to build the binaries
  • The first time you hit Configure some errors will likely be thrown, here are fixes/what you might need to define manually:
    Name Value
    OpenCV_DIR %path_to_extracted_opencv_folder%/build
    pybind11_DIR %path_to_anaconda%/anaconda3/Lib/site-packages/pybind11/share/cmake/pybind11
    PYTHON_EXECUTABLE %path_to_anaconda%/anaconda3/python.exe
  • When Configure is successful, hit Generate and then Open Project to open Visual Studio on the generated files
  • In Visual Studio, change Debug/x64 to Release/x64 in the upper bar near the menu and, on the right side, right-click laplacian-foveation and select Build(/Rebuild)
  • If the build process succeeded, go to laplacian_foveation/build/Release/ and copy the file pysmooth_foveation.PYD to %path_to_anaconda%/anaconda3/Lib/site-packages/
  • Add OpenCV bin directory to PATH (%path_to_extracted_opencv_folder%/build/x64/vc15/bin) -- if you have any Anaconda terminal window open, you need to close and reopen it so it is aware of the change to PATH
  • Test the build and installation of laplacian_foveation by running (Python): 
    import laplacian_foveation as fv
  • The test.py script provides a demo on foveating an image from the COCO dataset: 
    conda install -c anaconda scikit-image
python test.py

Linux

This installation was tested on Ubuntu 22.04.1 LTS version using a Python Virtual Environment. These steps assume that pip is installed and OpenCV is downloaded and extracted.

  • Create and activate a Python Virtual Environment. 
    python3 -m venv my_env_project
source my_env_project/bin/activate
  • With the Python Virtual Environment activated, install pybind11, NumPy and opencv packages: 
    pip install pybind11
pip install numpy
pip install opencv-python
  • Clone this repository and create a build directory in the root directory (laplacian-foveation/build): 
    cd %path_to_clone_directory%/laplacian_foveation
mkdir build
  • Open CMake and specify the cloned repository directory as source and the created build subdirectory to build the binaries
  • The first time you hit Configure some errors will likely be thrown, here are fixes/what you might need to define manually:
    Name Value
    OpenCV_DIR %path_to_extracted_opencv_folder%/build
    pybind11_DIR %path_to_virtualenv%/lib/site-packages/pybind11/share/cmake/pybind11
  • When Configure is successful, hit Generate and then build/compile the project (Unix Makefiles) in the terminal: 
    cd build
make
  • If make fails, edit the file laplacian_foveation/src/python_bindings/conversions.cpp replacing #include <numpy/ndarrayobject.h> with #include "%path_to_virtualenv%/lib/python3.x/site-packages/numpy/core/include/numpy/ndarrayobject.h", where python3.x must be the Python3 version installed in your Python Virtual Environment.
  • If the build/compile process succeeded, go to laplacian_foveation/build/ and copy the file laplacian_foveation.cpython-310-x86_64-linux-gnu.so to %path_to_virtualenv%/lib/site-packages/
  • Test the build and installation of laplacian_foveation by running (Python): 
    import laplacian_foveation as fv
  • The test.py script provides a demo on foveating an image from the COCO dataset: 
    pip install scikit-image
python test.py