gSLICr: Real-time super-pixel segmentation software

gSLICr is a library for real-time superpixel segmentation written in C++ and CUDA, authored by Carl Yuheng Ren.

It is available free for non-commercial use, and may be redistributed under these conditions. For commercial use, please contact [email protected].

Updates from gSLIC

• Fully re-factored code.
• Works for any size / number of super pixels
• With GTX Titan Black, 4.5ms@640x480, 13ms@1280x960, 25ms@1920x1080 image
• Multi-platform supported
  • Win8 Visual Studio
  • Ubuntu 14.04
  • Mac OSX 10.10

Requirements:

• CUDA: required
• OpenCV: optional (only if you want to run the demo, opencv is used for reading camera input)

To run demo:

• plug in a webcam

mkdir build
cd build
cmake ../
make
./demo

Paper to cite:

If you use this code for your research, please kindly cite:

@article{gSLIC_2011,
	author = {Carl Yuheng Ren and Ian Reid},
	title = "{gSLIC: a real-time implementation of SLIC superpixel segmentation}",
	journal = {Oxford University Technical Report},
	year = 2011
}

(this is a old version of the repot for now, will be updated a bit later)