AMD OpenVX (beta preview) is a highly optimized open source implementation of the Khronos OpenVX computer vision specification. It allows for rapid prototyping as well as fast execution on a wide range of computer hardware, including small embedded x86 CPUs and large workstation discrete GPUs.
The amdovx-core project consists of two components:
- OpenVX: AMD OpenVX library
- RunVX: command-line utility to execute OpenVX graph described in GDF text file
The OpenVX framework provides a mechanism to add new vision functions to OpenVX by 3rd party vendors. Look into github amdovx-modules project for additional OpenVX modules and utilities.
- vx_loomsl: Radeon LOOM stitching library for live 360 degree video applications
- loom_shell: an interpreter to prototype 360 degree video stitching applications using a script
- vx_ext_cv: OpenVX module that implemented a mechanism to access OpenCV functionality as OpenVX kernels
This software is provided under a MIT-style license, see the file COPYRIGHT.txt for details.
- The code is highly optimized for both x86 CPU and OpenCL for GPU
- Supported hardware spans the range from low power embedded APUs (like the new G series) to laptop, desktop and workstation graphics
- Supports Windows, Linux, and OS X
- Includes a “graph optimizer” that looks at the entire processing pipeline and removes/replaces/merges functions to improve performance and minimize bandwidth at runtime
- Scripting support allows for rapid prototyping, without re-compiling at production performance levels
- CPU: SSE4.1 or above CPU, 64-bit.
- GPU: Radeon R7 Series or above (Kaveri+ APU), Radeon 3xx Series or above (optional)
- DRIVER: AMD Catalyst 15.7 or higher (version 15.20) with OpenCL 2.0 runtimes
- AMD APP SDK 3.0 download.
Build this project to generate AMD OpenVX library and RunVX executable.
- Refer to openvx/include/VX for Khronos OpenVX standard header files.
- Refer to openvx/include/vx_ext_amd.h for vendor extensions in AMD OpenVX library.
- Refer to runvx/README.md for RunVX details.
- Install OpenCV 3.0 download for RunVX tool to support camera capture and image display
- OpenCV_DIR environment variable should point to OpenCV/build folder
- Use amdovx-core/amdovx.sln to build for x64 platform
- If AMD GPU (or OpenCL 2.0) is not available, set build flag ENABLE_OPENCL=0 in openvx/openvx.vcxproj and runvx/runvx.vcxproj.
- Install CMake 2.8 or newer download.
- Install OpenCV 3.0 download for RunVX tool to support camera capture and image display
- OpenCV_DIR environment variable should point to OpenCV/build folder
- Install libssl-dev on linux (optional)
- Use CMake to configure and generate Makefile
- If AMD GPU (or OpenCL 2.0) is not available, use build flag -DCMAKE_DISABLE_FIND_PACKAGE_OpenCL=TRUE.