=================== - New classifiers with MNIST data. - New multi-attempt approach to Sudoku parsing. - Using DLXSudoku to attempt classification of correct parsing of Sudoku. - Removed a lot of deprecated code.
0.7.0
=================== - Two different extraction methods: * Local thresholding * Adaptive thresholding for entire image - Refactored extensively and updated classifiers.
0.6.1
=================== - Patch for tests in Python 3.
0.6.0
=================== - Simplified blob extraction. - Added adaptive block_size for ``to_binary_adaptive``. - Added tests that fetch Sudokus from Xanadoku.
0.5.0
=================== - Removed hard dependency on scikit-learn. - Included an own K-Nearest-Neighbors classifier as default.