Learning how to use open computer vision by detecting playing cards on a table with a variety of algorithms...
how do you recognize cards that are not all the same and perfectly spread out???
- get data *
- image preprocessing
- detect card
- https://www.pyimagesearch.com/2017/06/19/image-difference-with-opencv-and-python/
- https://www.pyimagesearch.com/2017/07/17/credit-card-ocr-with-opencv-and-python/
- https://www.pyimagesearch.com/2015/01/26/multi-scale-template-matching-using-python-opencv/
- https://machinelearningmastery.com/using-opencv-python-and-template-matching-to-play-wheres-waldo/
- https://www.pyimagesearch.com/2016/02/01/opencv-center-of-contour/
- https://www.pyimagesearch.com/2017/07/17/credit-card-ocr-with-opencv-and-python/
- done already
- http://arnab.org/blog/so-i-suck-24-automating-card-games-using-opencv-and-python
- https://rdmilligan.wordpress.com/2014/07/05/playing-card-detection-using-opencv/
- https://github.com/EdjeElectronics/OpenCV-Playing-Card-Detector
- https://www.youtube.com/watch?v=RgjPcP4HN58
- https://www.youtube.com/watch?v=MHM0-zkwNsg&feature=youtu.be