Skip to main content

Sudoku Ocr

License: MIT

About

sudoku-ocr is a package that deliver class and methods to ocr sudoku image

Getting started

Installation

pip install sudoku-ocr

Usage example

from sudoku_ocr import Board

board = Board()
board.prepare_img("/path/to/sudoku/image")
board.ocr_sudoku()
print(board.board_value)
#  [[0 0 7 0 0 4 0 0 9]
#  [0 0 0 0 0 0 0 1 5]
#  [4 0 0 3 5 8 0 0 7]
#  [1 0 0 2 0 0 3 0 6]
#  [0 5 0 0 3 0 0 7 2]
#  [0 0 3 0 0 1 0 0 8]
#  [0 0 0 8 9 3 0 0 4]
#  [0 7 0 0 0 0 0 0 3]
#  [3 0 0 7 0 0 5 0 1]]

board.solve()
print(board.solved_board)
#  [[5 6 7 1 2 4 8 3 9]
#  [8 3 2 9 7 6 4 1 5]
#  [4 9 1 3 5 8 6 2 7]
#  [1 4 9 2 8 7 3 5 6]
#  [6 5 8 4 3 9 1 7 2]
#  [7 2 3 5 6 1 9 4 8]
#  [2 1 5 8 9 3 7 6 4]
#  [9 7 4 6 1 5 2 8 3]
#  [3 8 6 7 4 2 5 9 1]]

User have access to public properties:

  • board_value - sudoku image representation as 2D array
  • solved_board - solved board_value. In case board_value is invalid, solved_board will be 2D array filled with 0.

Usage without ocr

In case user just wants to solve sudoku, without need to ocr it first or ocr is incorrect. It is possible to set board_value as 2D array directly and than call solve() e.g.

board = Board()
board.board_value = [
            [0, 0, 7, 0, 0, 4, 0, 0, 9],
            [0, 0, 0, 0, 0, 0, 0, 1, 5],
            [4, 0, 0, 3, 5, 8, 0, 0, 7],
            [1, 0, 0, 2, 0, 0, 3, 0, 6],
            [0, 5, 0, 0, 3, 0, 0, 7, 2],
            [0, 0, 3, 0, 0, 1, 0, 0, 8],
            [0, 0, 0, 8, 9, 3, 0, 0, 4],
            [0, 7, 0, 0, 0, 0, 0, 0, 3],
            [3, 0, 0, 7, 0, 0, 5, 0, 1],
        ]
board.solve()
print(board.solved_board)
#  [[5 6 7 1 2 4 8 3 9]
#  [8 3 2 9 7 6 4 1 5]
#  [4 9 1 3 5 8 6 2 7]
#  [1 4 9 2 8 7 3 5 6]
#  [6 5 8 4 3 9 1 7 2]
#  [7 2 3 5 6 1 9 4 8]
#  [2 1 5 8 9 3 7 6 4]
#  [9 7 4 6 1 5 2 8 3]
#  [3 8 6 7 4 2 5 9 1]]

Metadata

Release files for sudoku-ocr 1.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for sudoku-ocr 1.1.3
File Interpreter ABI Platform Actions
sudoku_ocr-1.1.3-py3-none-any.whl Python 3 none any Details for sudoku_ocr-1.1.3-py3-none-any.whl

Release files / sudoku_ocr-1.1.3-py3-none-any.whl

Download URL sudoku_ocr-1.1.3-py3-none-any.whl
Size 5.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
64fcd7362c41d2ade19ef941ac13617e052ed47b372d1ac8e9a51c701829fb7d
BLAKE2b-256 checksum
How to use checksums
e9f763f8b904f0d8b3ebd6e33ea2589996a54dc5e0f8d4134b1a97114e5442eb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.2.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Security for sudoku-ocr 1.1.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page