HDILib: High Dimensional Inspector Library

HDILib is a library for the scalable analysis of large and high-dimensional data. It contains scalable manifold-learning algorithms, visualizations and visual-analytics frameworks. HDILib is implemented in C++, OpenGL and JavaScript. It is developed within a joint collaboration between the Computer Graphics & Visualization group at the Delft University of Technology and the Division of Image Processing (LKEB) at the Leiden Medical Center.

Authors

• Nicola Pezzotti initiated the HDI project, developed the A-tSNE and HSNE algorithms and implemented most of the visualizations and frameworks.
• Thomas Höllt ported the library to MacOS.

Used

HDI is used in the following projects:

• Cytosplore: interactive system for understanding how the immune system works
• Brainscope: web portal for fast, interactive visual exploration of the Allen Atlases of the adult and developing human brain transcriptome
• DeepEyes: progressive analytics system for designing deep neural networks

Reference

Reference to cite when you use HDI in a research paper:

@inproceedings{Pezzotti2016HSNE,
  title={Hierarchical stochastic neighbor embedding},
  author={Pezzotti, Nicola and H{\"o}llt, Thomas and Lelieveldt, Boudewijn PF and Eisemann, Elmar and Vilanova, Anna},
  journal={Computer Graphics Forum},
  volume={35},
  number={3},
  pages={21--30},
  year={2016}
}
@article{Pezzotti2017AtSNE,
  title={Approximated and user steerable tsne for progressive visual analytics},
  author={Pezzotti, Nicola and Lelieveldt, Boudewijn PF and van der Maaten, Laurens and H{\"o}llt, Thomas and Eisemann, Elmar and Vilanova, Anna},
  journal={IEEE transactions on visualization and computer graphics},
  volume={23},
  number={7},
  pages={1739--1752},
  year={2017}
}

Building

GIT Cloning

With the latest git versions you shoule use the following command:

git clone --recurse-submodules https://github.com/biovault/HDILib.git

Requirements

HDILib depends on flann:

1. Windows build requires: flann >1.8.5
2. Ubuntu/Mac builds require: flann 1.8.4

Flann can be built from the source but we recommend vcpkg to install it, especially on Windows.

Installing flann

On Windows with vcpkg

.\vcpkg install flann:x64-windows-static

When configuring cmake make sure to setup vcpkg with CMAKE_TOOLCHAIN_FILE (PATH_TO/vcpkg/scripts/buildsystems/vcpkg.cmake) and VCPKG_TARGET_TRIPLET x64-windows-static

On Linux with e.g.

sudo apt-get -y install libflann-dev liblz4-dev

On Mac OS with

brew install flann lz4

Generate the build files

Windows This will produce a HDILib.sln file for VisualStudio. Open the .sln in VisualStudio and build ALL_BUILD for Release or Debug matching the CMAKE_BUILD_TYPE.

cmake -S . -B build -G "Visual Studio 16 2019" -A "x64" -DCMAKE_TOOLCHAIN_FILE=.\build\conan_toolchain.cmake -DVCPKG_TARGET_TRIPLET=x64-windows-static -DCMAKE_INSTALL_PREFIX=install

Linux This will produce a Makefile, other generators like ninja are also possible. Use the make commands e.g. make -j 8 && make install to build and install.

cmake  -S . -B build -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=install -DENABLE_PID=ON -G "Unix Makefiles"

// build and install the libary, independent of generator
cmake --build build --config Release --target install

Macos Tested with Xcode 10.3 & apple-clang 10:

cmake  -S . -B build -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=install

Using the HDILib

The subdirectory test_package builds an exammple that links agains the HDILib binaries. Check the CMakeLists.txt this shows how to consume the HDILib Cmake package.

Find the package

find_package(HDILib COMPONENTS hdiutils hdidata hdidimensionalityreduction PATHS ${HDILib_ROOT} CONFIG REQUIRED)

Consume the package and dependencies (Windows example)

target_link_libraries(example PRIVATE HDI::hdidimensionalityreduction HDI::hdiutils HDI::hdidata ${CMAKE_DL_LIBS})

Applications

A suite of command line and visualization applications is available in the original High Dimensional Inspector repository.

CI/CD process

Conan is used in the CI/CD process to retrieve a prebuilt flann from the lkeb-artifactory and to upload the completed HDILib to the artifactory. The conanfile uses the cmake tool as builder.

CI/CD note on https

OpenSSL in the python libraries does not have a recent list of CA-authorities, that includes the authority for lkeb-artifactory GEANT issued certificate. Therefore it is essential to append the lkeb-artifactory cert.pem to the cert.pem file in the conan home directory for a successful https connection. See the CI scripts for details.

Notes on Conan

CMake compatibility

The conan file uses (starting with conan 1.38) the conan CMakeDeps + CMakeToolchain logic to create a CMake compatible toolchain file. This is a .cmake file containing all the necessary CMake variables for the build.

These variables provided by the toolchain file allow the CMake file to locate the required packages that conan has downloaded.

Build bundle

The conan build creates three versions of the package, Release, Debug and

GitHub Actions status

Currently the following build matrix is performed:

OS	Architecture	Compiler
Windows	x64	MSVC 2019
Linux (ubuntu-22.04)	x86_64	gcc 11
Macos (12)	x86_64	clang 13