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

• Linux distribution
  • Ubuntu - 20.04 / 22.04
  • CentOS - 7
  • RedHat - 8 / 9
  • SLES - 15-SP4
• ROCm supported hardware
• Install ROCm with amdgpu-install with --usecase=graphics,rocm --no-32
• RPP
• AMD OpenVX™ and AMD OpenVX™ Extensions: VX_RPP and AMD Media - MIVisionX Components
• Turbo JPEG - Version 3.0.1 from https://github.com/libjpeg-turbo/libjpeg-turbo.git
• Half-precision floating-point library - Version 1.12.0 or higher
• Google Protobuf - Version 3.12.4 or higher
• LMBD Library
• RapidJSON
• PyBind11
• HIP
• OpenMP
• C++17

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:~/)]
                      --opencv    [OpenCV Version - optional (default:4.6.0)]
                      --protobuf  [ProtoBuf Version - optional (default:3.12.4)]
                      --pybind11  [PyBind11 Version - optional (default:v2.10.4)]
                      --reinstall [Reinstall - optional (default:OFF)[options:ON/OFF]]
                      --backend   [rocAL Dependency Backend - optional (default:HIP) [options:OCL/HIP]]
                      --rocm_path [ROCm Installation Path - optional (default:/opt/rocm)]

Installation instructions

The installation process uses the following steps:

• ROCm supported hardware install verification
• Install ROCm with amdgpu-install with --usecase=graphics,rocm --no-32
• 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

Note

• Package install requires Turbo JPEG, PyBind 11 v2.10.4 and Protobuf V3.12.4 manual install
• CentOS/RedHat/SLES requires FFMPEG Dev package manual install

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:

• 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
• sudo required for pybind installation

Important

Use -D PYTHON_VERSION_SUGGESTED=3.x with cmake for using a specific Python3 version if required.

• run tests - test option instructions

make test

Note

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

• Instructions for building rocAL with OPENCL GPU 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
  • 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 packge install

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

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 mivisionx.support@amd.com for questions, and feedback on rocAL.

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

Release notes

Latest release version

Changelog

Review all notable changes with the latest release

Tested Configurations

• Linux distribution
  • Ubuntu - 20.04 / 22.04
  • CentOS - 7
  • RedHat - 8 / 9
  • SLES - 15-SP4
• ROCm: rocm-core - 5.7.0.50700-6
• RPP - rpp & rpp-dev/rpp-devel
• MIVisionX - mivisionx & mivisionx-dev/mivisionx-devel
• Protobuf - libprotobuf-dev/protobuf-devel
• RapidJSON - https://github.com/Tencent/rapidjson
• FFMPEG - ffmpeg dev package
• OpenCV - 4.6.0
• Turbo JPEG - Version 3.0.1
• PyBind11 - v2.10.4
• rocAL Setup Script - V2.0.0
• Dependencies for all the above packages