HISTORY.rst

v0.8.6 (2016-04-16)

• Changed the main function of sudokuextract.extract to print and not return anything.

v0.8.5 (2016-03-10)

• Replace ndi.binary_fill_holes with a binary_erosion and increased number of blobs to test to 2.

v0.8.4 (2016-03-10)

• New classifiers.
• New data with additional data of 1:s.

v0.8.3 (2016-03-09)

• Disabled the Corners parsing solution again.
• Warping image now creates a much smaller image to prevent memory issues.
• This also increased speed with a factor of at least 4.
• apply_gaussian now applies a Gaussian on entire image first.
• Testing can now use a tar-file of images that can be downloaded from the web.
• Also removed lambda functions in favour of functools.partial.

v0.8.2 (2016-03-07)

• Restricted scikit-image version to < 0.12.

v0.8.1 (2016-03-06)

• New classifiers with both SudokuExtract and MNIST data.
• New data.
• MNIST data stored separately from SudokuExtract data.
• Number of Nearest Neighbours increased to 10 due to larger training data.
• Several small bugfixes for new features added in v0.8.0.

v0.8.0 (2016-03-05)

• 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.

v0.7.0 (2016-02-26)

• Two different extraction methods:

  • Local thresholding
  • Adaptive thresholding for entire image

• Refactored extensively and updated classifiers.

v0.6.1 (2016-02-20)

• Patch for tests in Python 3.

v0.6.0 (2016-02-19)

• Simplified blob extraction.
• Added adaptive block_size for to_binary_adaptive.
• Added tests that fetch Sudokus from Xanadoku.

v0.5.0 (2016-02-18)

• Removed hard dependency on scikit-learn.
• Included an own K-Nearest-Neighbors classifier as default.

v0.4.0 (2016-02-17)

• Initial release on PyPI