brb-chen / FASText

Efficient Unconstrained Scene Text Detector

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FASText

FASText: Efficient Unconstrained Scene Text Detector,Busta M., Neumann L., Matas J.: ICCV 2015.

To build a standalone library, run

mkdir Release
cd Release
cmake -D CMAKE_BUILD_TYPE=Release ..
make 

Prerequisites:

  • OpenCV
  • python + numpy (optional)

After building the executables, you can use toy examples in python:

cd tools
python segmentation.py <path_to_image>
  • will process and draw FASText keypoints on scale pyramid.
cd tools
python evaluateSegmentation.py
  • will reproduce results on ICDAR 2013 dataset (requires Challenge 2 dataset & GT segmentations)

Please cite this paper if you use this data or code:

@InProceedings{Busta_2015_ICCV,
  author = {Busta, Michal and Neumann, Lukas and Matas, Jiri},
  title = {FASText: Efficient Unconstrained Scene Text Detector},
  journal = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {June},
  year = {2015}
}

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Efficient Unconstrained Scene Text Detector

License:GNU General Public License v2.0


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