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The AMD rocAL is designed to efficiently decode and process images and videos from a variety of storage formats and modify them through a processing graph programmable by the user.

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ROCm/rocAL

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MIT licensed

Note

The published documentation is available at rocAL in an organized, easy-to-read format, with search and a table of contents. The documentation source files reside in the docs folder of this repository. As with all ROCm projects, the documentation is open source. For more information on contributing to the documentation, see Contribute to ROCm documentation.

The AMD ROCm Augmentation Library (rocAL) is designed to efficiently decode and process images and videos from a variety of storage formats and modify them through a processing graph programmable by the user. rocAL currently provides C API. For more details, go to rocAL user guide page.

Supported Operations

rocAL can be currently used to perform the following operations either with randomized or fixed parameters:

Blend Blur (Gaussian 3x3) Brightness Color Temperature
ColorTwist Contrast Crop Crop Mirror Normalization
CropResize Exposure Modification Fisheye Lens Flip (Horizontal, Vertical and Both)
Fog Gamma Hue Jitter
Lens Correction Pixelization Raindrops Random Crop
Resize Resize Crop Mirror Rotation Salt And Pepper Noise
Saturation Snowflakes Vignette Warp Affine

Prerequisites

Important

gfx908 or higher GPU required

  • Install ROCm 6.1.0 or later with amdgpu-install: Required usecase - rocm

Important

sudo amdgpu-install --usecase=rocm

  • HIP

    sudo apt install rocm-hip-runtime-dev
  • MIVisionX Components: AMD OpenVX™ and AMD OpenVX™ Extensions: VX_RPP and AMD Media

    sudo apt install mivisionx-dev
  • Half-precision floating-point library - Version 1.12.0 or higher

    sudo apt install half
  • Google Protobuf - Version 3.12.4 or higher

    sudo apt install libprotobuf-dev
  • LMBD Library

    sudo apt install liblmdb-dev
  • Python3 and Python3 PIP

    sudo apt install python3-dev python3-pip
  • Python Wheel

    pip3 install wheel
  • FFMPEG - Optional for source install, but required for package install

    sudo apt install ffmpeg libavcodec-dev libavformat-dev libavutil-dev libswscale-dev
  • OpenCV - Optional for source install, but required for package install

    sudo apt install libopencv-dev
  • PyBind11 - Manual install

    • Source: https://github.com/pybind/pybind11
    • Tag: v2.11.1
  • Turbo JPEG - Manual install

    • Source: https://github.com/libjpeg-turbo/libjpeg-turbo.git
    • Tag: 3.0.2
  • RapidJSON - Manual install

    • Source: https://github.com/Tencent/rapidjson.git
    • Tag: master

Important

  • Compiler features required
    • C++17
      sudo apt install libstdc++-12-dev
    • OpenMP
      sudo apt install libomp-dev

Note

  • All package installs are shown with the apt package manager. Use the appropriate package manager for your operating system.

Prerequisites setup script

For your convenience, we provide the setup script,rocAL-setup.py, which installs all required dependencies. Run this script only once.

python rocAL-setup.py --directory [setup directory - optional (default:~/)]
                      --rocm_path [ROCm Installation Path - optional (default:/opt/rocm)]
                      --backend   [rocAL Dependency Backend - optional (default:HIP) [options:OCL/HIP]]
                      --ffmpeg    [FFMPEG Installation - optional (default:OFF)[options:ON/OFF]]
                      --reinstall [Reinstall - optional (default:OFF)[options:ON/OFF]]

Installation instructions

The installation process uses the following steps:

Important

Use either package install or source install as described below.

Package install

Install rocAL runtime, development, and test packages.

  • Runtime package - rocal only provides the dynamic libraries
  • Development package - rocal-dev/rocal-devel provides the libraries, executables, header files, and samples
  • Test package - rocal-test provides ctest to verify installation

Ubuntu

sudo apt-get install rocal rocal-dev rocal-test

CentOS/RedHat

sudo yum install rocal rocal-devel rocal-test

SLES

sudo zypper install rocal rocal-devel rocal-test

Important

  • Package install requires TurboJPEG manual install
    git clone -b 3.0.2 https://github.com/libjpeg-turbo/libjpeg-turbo.git
    mkdir tj-build && cd tj-build
    cmake -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_BUILD_TYPE=RELEASE -DENABLE_STATIC=FALSE -DCMAKE_INSTALL_DEFAULT_LIBDIR=lib -DWITH_JPEG8=TRUE ../libjpeg-turbo/
    make -j8 && sudo make install
    
  • CentOS/RedHat/SLES requires additional FFMPEG Dev package manual install
  • rocAL Python module: To use python module, you can set PYTHONPATH:
    • export PYTHONPATH=/opt/rocm/lib:$PYTHONPATH

Source install

To build rocAL from source and install, follow the steps below:

  • Clone rocAL source code
git clone https://github.com/ROCm/rocAL.git

Note

rocAL has support for two GPU backends: OPENCL and HIP:

HIP Backend

  • Instructions for building rocAL with the HIP GPU backend (default GPU backend):

    • run the setup script to install all the dependencies required by the HIP GPU backend:
    cd rocAL
    python rocAL-setup.py
    • run the below commands to build rocAL with the HIP GPU backend:
    mkdir build-hip
    cd build-hip
    cmake ../
    make -j8
    sudo cmake --build . --target PyPackageInstall
    sudo make install

Note

  • PyPackageInstall used for rocal_pybind installation

Important

  • Use -D PYTHON_VERSION_SUGGESTED=3.x with cmake for using a specific Python3 version if required.
  • Use -D AUDIO_SUPPORT=ON to enable Audio features, Audio support will be enabled by default with ROCm versions > 6.2
make test

Note

To run tests with verbose option, use make test ARGS="-VV".

OpenCL Backend

Note

  • rocAL_pybind is not supported on OPENCL backend
  • rocAL cannot be installed for both GPU backends in the same default folder (i.e., /opt/rocm/)
  • if an app interested in installing rocAL with both GPU backends, then add -DCMAKE_INSTALL_PREFIX in the cmake commands to install rocAL with OPENCL and HIP backends into two separate custom folders.

Verify installation

  • The installer will copy
    • Executables into /opt/rocm/bin
    • Libraries into /opt/rocm/lib
    • rocal_pybind into /opt/rocm/lib
    • Header files into /opt/rocm/include/rocal
    • Apps, & Samples folder into /opt/rocm/share/rocal
    • Documents folder into /opt/rocm/share/doc/rocal

Verify with rocal-test package

Test package will install ctest module to test rocAL. Follow below steps to test package install

mkdir rocAL-test && cd rocAL-test
cmake /opt/rocm/share/rocal/test/
ctest -VV

Note

  • Make sure all rocAL required libraries are in your PATH
  • RHEL/SLES - Export FFMPEG libraries into your PATH
    • export LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64/:/usr/local/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH
export PATH=$PATH:/opt/rocm/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/rocm/lib

Verify rocAL PyBind with rocal-test package

Test package will install ctest module to test rocAL PyBindings. Follow below steps to test package install

mkdir rocal-pybind-test && cd rocal-pybind-test
cmake /opt/rocm/share/rocal/test/pybind
ctest -VV

Note

  • Make sure all rocAL required libraries are in your PATH
export PATH=$PATH:/opt/rocm/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/rocm/lib
export PYTHONPATH=/opt/rocm/lib:$PYTHONPATH

Documentation

Run the steps below to build documentation locally.

  • Sphinx documentation
cd docs
pip3 install -r sphinx/requirements.txt
python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
  • Doxygen
doxygen .Doxyfile

Technical support

Please email [email protected] for questions, and feedback on rocAL.

Please submit your feature requests, and bug reports on the GitHub issues page.

Release notes

Latest release version

GitHub tag (latest SemVer)

Changelog

Review all notable changes with the latest release

Tested Configurations

  • Linux distribution
    • Ubuntu - 22.04 / 24.04
    • RedHat - 8 / 9
    • SLES - 15-SP5
  • ROCm: rocm-core - 6.1.0.60100-64+
  • MIVisionX - mivisionx & mivisionx-dev/mivisionx-devel
  • Protobuf - libprotobuf-dev/protobuf-devel
  • RapidJSON - https://github.com/Tencent/rapidjson
  • Turbo JPEG - Version 3.0.2
  • PyBind11 - v2.11.1
  • FFMPEG - ffmpeg dev package
  • OpenCV - libopencv-dev / 4.6.0
  • libsndfile - 1.0.31
  • rocAL Setup Script - V2.6.0
  • Dependencies for all the above packages

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The AMD rocAL is designed to efficiently decode and process images and videos from a variety of storage formats and modify them through a processing graph programmable by the user.

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