Using OpenCV to identify cards in an image and solve for valid sets in a game of Set. Currently only solves for static image.
Sets found:
1 RED DIAMOND EMPTY
1 GREEN DIAMOND STRIPED
1 PURPLE DIAMOND SOLID
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3 GREEN DIAMOND STRIPED
2 GREEN DIAMOND STRIPED
1 GREEN DIAMOND STRIPED
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2 GREEN DIAMOND STRIPED
2 PURPLE DIAMOND STRIPED
2 RED DIAMOND STRIPED
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1 PURPLE OBLONG SOLID
3 PURPLE SQUIGGLE EMPTY
2 PURPLE DIAMOND STRIPED
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1 GREEN DIAMOND STRIPED
3 PURPLE DIAMOND STRIPED
2 RED DIAMOND STRIPED
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1 GREEN DIAMOND STRIPED
2 RED SQUIGGLE STRIPED
3 PURPLE OBLONG STRIPED
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Virtualenv required. Will also need OpenCV installation on your machine and symlinks to necessary files.
# create virtual environment
virtualenv .venv
source .venv/bin/activate
# install requirements
pip install -r requirements.txt
# install OpenCV and create symlinks
brew tap homebrew/science
brew install opencv
cd .venv/lib/python2.7
ln -s /usr/local/Cellar/opencv/2.4.10/lib/python2.7/site-packages/cv.py cv.py
ln -s /usr/local/Cellar/opencv/2.4.10/lib/python2.7/site-packages/cv2.so cv2.so
For examples on how to use code, check out tests.py. Run it to see the card detection and solving in action:
source .venv/bin/activate
python
>>> import tests
>>> tests.main() #to run basic tests
>>> tests.play_game(<path/to/image>) #to find sets in image
- Has issues detecting card properties when shadowed
- Inaccurate detection with low-res image
Made at the Recurse Center