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gSLICr: Real-time super-pixel segmentation software

sample

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)