optical_flow Directory Reference

Directories
	source

Detailed Description

In this sample we will create an OpenVX graph to run Optical Flow on a video/live. This sample application uses OpenCV to decode input video and display the output.

Prerequisites

• Conformant OpenVX Implementation
• OpenCV

Steps to run the Optical Flow sample

• Step - 1: Build and install Conformant OpenVX Implementation.

Build OpenVX on Linux
 
* Git Clone project
 
      git clone https://github.com/ROCm/MIVisionX.git
 
* Use CMake to build
 
      mkdir build && cd build
      cmake ../MIVisionX
      make -j8
      sudo make install

• Step - 2: Export OpenVX Directory Path

export OPENVX_DIR=/opt/rocm/

• Step - 3: CMake and Build the optical flow application

mkdir opticalFlow-build && cd opticalFlow-build
cmake -DOPENVX_INCLUDES=$OPENVX_DIR/include/mivisionx -DOPENVX_LIBRARIES=$OPENVX_DIR/lib/libopenvx.so ../optical_flow
make

• Step - 4: Run VX Optical Flow application

  Usage:
      ./opticalFlow --video <Video File>
      ./opticalFlow --live  <Capture Device ID>

  • Use Video Option

    ./opticalFlow --video ../../../data/videos/AMD_driving_virtual_20.mp4

  • Use Live Device Camera ./opticalFlow --live 0