Project goal: use GPU on ODROID-XU4 and OpenCL acceleration to achieve real time shape and orientation detection of fast moving objects. Part of system for automatic segregation of seeds in an arboretum.
First, please install OpenCV 2.4
sudo apt install libopencv-devCompile application:
cd PC/camera
makeRun the application using default camera (usually webcam).
./captureYou will see that in the video stream from camera the application finds an object, shows its bounding box and computes the orientation. Orientation direction is shown in form of arrows.
Example output of the algorithm running on ODROID-XU4 minicomputer with Basler acA2000-165um high-speed camera:
Install https://developer.arm.com/technologies/compute-library
If the GL/gl.h is missing, install
sudo apt install mesa-common-devBasic installation
sudo apt install ocl-icd-libopencl1
sudo apt install opencl-headers
sudo apt install clinfoCompiling OpenCL code
sudo apt install ocl-icd-opencl-devIn order to run OpenCL on Intel GT (IvyBridge and up)
sudo apt install beignetsudo apt install clinfo
clinfohttp://www.sci.utah.edu/~gerig/CS7960-S2010/handouts/Hu.pdf
http://www.sciencedirect.com/science/article/pii/003132039090053N
http://ro.ecu.edu.au/cgi/viewcontent.cgi?article=7351&context=ecuworks
http://www.ingentaconnect.com/content/tcsae/tcsae/2016/00000032/00000004/art00006
#Odroid XU4 user manual http://magazine.odroid.com/wp-content/uploads/odroid-xu4-user-manual.pdf
#Configuring OpenCL on Odroid: http://granolamatt.com/working/2015/02/configure-opencl-on-odroid-xu3/ http://forum.odroid.com/viewtopic.php?f=95&t=5559
#OpenCL introduction: http://www.drdobbs.com/parallel/a-gentle-introduction-to-opencl/231002854 https://people.maths.ox.ac.uk/gilesm/cuda/new_lectures/lec1.pdf https://people.maths.ox.ac.uk/gilesm/cuda/new_lectures/lec2.pdf