Releases: ROCm/MIVisionX
Releases · ROCm/MIVisionX
MIVisionX for ROCm 4.0.0
Release Notes
Online Documentation
Release code checkout
git clone -b rocm-4.0.0 https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX
MIVisionX Build Level Info
Docker Image
Docker Image: docker pull kiritigowda/ubuntu-18.04:tagname
MIVisionX for ROCm 3.10.0
Release Notes
Online Documentation
MIVisionX Build Level Info
Docker Image
Docker Image: docker pull kiritigowda/ubuntu-18.04:tagname
MIVisionX for ROCm 3.9.0
Release Notes
Online Documentation
MIVisionX Build Level Info
Docker Image
Docker Image: docker pull kiritigowda/ubuntu-18.04:tagname
MIVisionX for ROCm 3.8.0
MIVisionX for ROCm 3.7.0
MIVisionX v1.9.1
Release Notes
Online Documentation
Features
- MIVisionX Setup Updates
- Support with MIOpen V2.5.0 with OpenCL & MIOpenGEMM
- Minor Bug-fixes
- Cleanup
NOTE:
- Run Setup Script -
MIVisionX-setup.py
-V1.7.13
with --reinstall option if dependencies are previously installed
Release code checkout
git clone -b 1.9.1 https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX
Prerequisites
Linux
- Ubuntu
16.04
/18.04
/20.04
or CentOS7.5
/7.6
/8.1
- ROCm supported hardware
- ROCm
- Run Setup Script -
MIVisionX-setup.py
-V1.7.13
Windows without Windows Machine Learning Module
- Windows 10
- Windows SDK
- Visual Studio 2017
- Install OpenCL SDK
- OpenCV 3.4
- Set
OpenCV_DIR
environment variable toOpenCV/build
folder - Add
%OpenCV_DIR%\x64\vc14\bin
or%OpenCV_DIR%\x64\vc15\bin
to yourPATH
- Set
Windows with Windows Machine Learning Module
- Windows 10, version
1809
or later - Windows SDK, build
17763
or later - Visual Studio 2017, version
15.7.4
or later- Visual Studio extension for C++/WinRT
- Install OpenCL SDK
- OpenCV 3.4
- Set
OpenCV_DIR
environment variable toOpenCV/build
folder - Add
%OpenCV_DIR%\x64\vc14\bin
or%OpenCV_DIR%\x64\vc15\bin
to yourPATH
- Set
Known Issues
- Package (.deb & .rpm) install requires OpenCV
v3.4.0
to execute AMD OpenCV extensions - ROCm 3.0 and above has known to slow down OpenCL kernels.
Tested configurations
MIVisionX v1.9
Release Notes
Online Documentation
NEW Features
- AMD RPP Extension - New Features & Bug fix
- RALI - New Features & Bug-fixes
- Minor Bug-fixes
- ADAT - Bug Fixes
- Cleanup
Release code checkout
git clone -b 1.9 https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX
Prerequisites
Linux
- Ubuntu
16.04
/18.04
/20.04
or CentOS7.5
/7.6
/8.1
- ROCm supported hardware
- ROCm
- Run Setup Script -
MIVisionX-setup.py
-V1.7.11
Windows without Windows Machine Learning Module
- Windows 10
- Windows SDK
- Visual Studio 2017
- Install OpenCL SDK
- OpenCV 3.4
- Set
OpenCV_DIR
environment variable toOpenCV/build
folder - Add
%OpenCV_DIR%\x64\vc14\bin
or%OpenCV_DIR%\x64\vc15\bin
to yourPATH
- Set
Windows with Windows Machine Learning Module
- Windows 10, version
1809
or later - Windows SDK, build
17763
or later - Visual Studio 2017, version
15.7.4
or later- Visual Studio extension for C++/WinRT
- Install OpenCL SDK
- OpenCV 3.4
- Set
OpenCV_DIR
environment variable toOpenCV/build
folder - Add
%OpenCV_DIR%\x64\vc14\bin
or%OpenCV_DIR%\x64\vc15\bin
to yourPATH
- Set
Known Issues
- Package (.deb & .rpm) install requires OpenCV
v3.4.0
to execute AMD OpenCV extensions - ROCm 3.0 and above has known to slow down OpenCL kernels.
Tested configurations
MIVisionX Lite V1.0
Release Notes
Online Documentation
Features
- OpenVX 1.0.1
- OpenVX - OpenCV Extension
- RunCL
- RunVX
Release code checkout
git clone -b 1.0 https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX
Prerequisites
Linux
- Ubuntu
16.04
/18.04
or CentOS7.5
/7.6
- ROCm supported hardware
- ROCm
- Run Setup Script -
MIVisionX-Lite-setup.py
MacOS
- Install Homebrew
- CMake -
brew install cmake
- Git -
brew install git
- Run Setup Script -
MIVisionX-Lite-setup.py
Windows
- Windows 10
- Windows SDK
- Visual Studio 2017
- Install OpenCL SDK
- OpenCV 3.4
- Set
OpenCV_DIR
environment variable toOpenCV/build
folder - Add
%OpenCV_DIR%\x64\vc14\bin
or%OpenCV_DIR%\x64\vc15\bin
to yourPATH
- Set
Known Issues
- Package (.deb & .rpm) install requires OpenCV
v3.4.0
to execute AMD OpenCV extensions - ROCm 3.0 and above has known to slow down OpenCL kernels.
- If OpenCL failure occurs on macOS, set environment variable to run on CPU by default
export AGO_DEFAULT_TARGET=CPU
Tested configurations
- Windows 10
- Linux: Ubuntu -
16.04
/18.04
& CentOS -7.5
/7.6
- ROCm: rocm-dkms -
3.3.0-19
- OpenCV - 3.4.0
- Dependencies for all the above packages
MIVisionX v1.8
Release Notes
Online Documentation
NEW Features
- New AMD RPP Extension features
- RALI - Bug-fixes
- Minor Bug-fixes
- ADAT - Bug Fixes
- Cleanup
Release code checkout
git clone -b 1.8 https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX
Prerequisites
Linux
- Ubuntu
16.04
/18.04
or CentOS7.5
/7.6
- ROCm supported hardware
- ROCm
- Run Setup Script -
MIVisionX-setup.py
Windows without Windows Machine Learning Module
- Windows 10
- Windows SDK
- Visual Studio 2017
- Install OpenCL SDK
- OpenCV 3.4
- Set
OpenCV_DIR
environment variable toOpenCV/build
folder - Add
%OpenCV_DIR%\x64\vc14\bin
or%OpenCV_DIR%\x64\vc15\bin
to yourPATH
- Set
Windows with Windows Machine Learning Module
- Windows 10, version
1809
or later - Windows SDK, build
17763
or later - Visual Studio 2017, version
15.7.4
or later- Visual Studio extension for C++/WinRT
- Install OpenCL SDK
- OpenCV 3.4
- Set
OpenCV_DIR
environment variable toOpenCV/build
folder - Add
%OpenCV_DIR%\x64\vc14\bin
or%OpenCV_DIR%\x64\vc15\bin
to yourPATH
- Set
Known Issues
- Package (.deb & .rpm) install requires OpenCV
v3.4.0
to execute AMD OpenCV extensions - ROCm 3.0 and above has known to slow down OpenCL kernels.
Tested configurations
MIVisionX v1.7
Release Notes
Online Documentation
NEW Features
- New Applications & Samples
- RALI - Bug-fixes
- Minor Bug-fixes
- ROCm 3.1 support
Release code checkout
git clone -b 1.7 https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX
Prerequisites
Linux
- Ubuntu
16.04
/18.04
or CentOS7.5
/7.6
- ROCm supported hardware
- ROCm
- Run Setup Script -
MIVisionX-setup.py
Windows without Windows Machine Learning Module
- Windows 10
- Windows SDK
- Visual Studio 2017
- Install OpenCL SDK
- OpenCV 3.4
- Set
OpenCV_DIR
environment variable toOpenCV/build
folder - Add
%OpenCV_DIR%\x64\vc14\bin
or%OpenCV_DIR%\x64\vc15\bin
to yourPATH
- Set
Windows with Windows Machine Learning Module
- Windows 10, version
1809
or later - Windows SDK, build
17763
or later - Visual Studio 2017, version
15.7.4
or later- Visual Studio extension for C++/WinRT
- Install OpenCL SDK
- OpenCV 3.4
- Set
OpenCV_DIR
environment variable toOpenCV/build
folder - Add
%OpenCV_DIR%\x64\vc14\bin
or%OpenCV_DIR%\x64\vc15\bin
to yourPATH
- Set
Known Issues
- Package (.deb & .rpm) install requires OpenCV
v3.4.0
to execute AMD OpenCV extensions - ROCm 3.0 and above has known to slow down OpenCL kernels.
Tested configurations
- Windows 10
- Linux: Ubuntu -
16.04
/18.04
& CentOS -7.5
/7.6
- ROCm: rocm-dkms -
3.1.44
- rocm-cmake - github master:ac45c6e
- MIOpenGEMM - 1.1.5
- MIOpen - 2.1.0
- Protobuf - V3.5.2
- OpenCV - 3.4.0
- Dependencies for all the above packages