npchessimage


Namenpchessimage JSON
Version 0.10 PyPI version JSON
download
home_pagehttps://github.com/hansalemaos/npchessimage
SummaryCreates a chessboard pattern as an image.
upload_time2023-07-19 01:28:52
maintainer
docs_urlNone
authorJohannes Fischer
requires_python
licenseMIT
keywords chessboard image numpy
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# Creates a chessboard pattern as an image.

## pip install npchessimage 

#### Tested against Windows 10 / Python 3.10 / Anaconda 

![](https://github.com/hansalemaos/screenshots/blob/main/testimage.png?raw=true)

```python
        

        Args:
            block_size (int, optional): The size of each square block on the chessboard. Defaults to 10.
            width (int, optional): The total width of the chessboard image. Defaults to 1000.
            height (int, optional): The total height of the chessboard image. Defaults to 1000.
            colors (tuple or list, optional): The RGB color values for the chessboard. Defaults to ((0, 0, 0), (255, 0, 0), (255, 255, 0)).

        Returns:
            numpy.ndarray: The generated chessboard image as a NumPy array.

        Example:
            from npchessimage import create_chessboard

            chessboard = create_chessboard(block_size=20, width=800, height=600, colors=((255, 255, 255), (0, 0, 0)))
            print(chessboard.shape)

            # Output:
            # (600, 800, 3)

            img = create_chessboard(
                block_size=10,
                width=200,
                height=300,
                colors=((0, 0, 0), (255, 0, 0), (255, 255, 0)),
            )
            import cv2
            cv2.imwrite('c:\\testimage.png',img)
```

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/hansalemaos/npchessimage",
    "name": "npchessimage",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "chessboard,image,numpy",
    "author": "Johannes Fischer",
    "author_email": "aulasparticularesdealemaosp@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/6a/4c/c1c5382d5a0cae8d57f59ea4708a8d99b04764a00de318bf99ffec5a5403/npchessimage-0.10.tar.gz",
    "platform": null,
    "description": "\r\n# Creates a chessboard pattern as an image.\r\n\r\n## pip install npchessimage \r\n\r\n#### Tested against Windows 10 / Python 3.10 / Anaconda \r\n\r\n![](https://github.com/hansalemaos/screenshots/blob/main/testimage.png?raw=true)\r\n\r\n```python\r\n        \r\n\r\n        Args:\r\n            block_size (int, optional): The size of each square block on the chessboard. Defaults to 10.\r\n            width (int, optional): The total width of the chessboard image. Defaults to 1000.\r\n            height (int, optional): The total height of the chessboard image. Defaults to 1000.\r\n            colors (tuple or list, optional): The RGB color values for the chessboard. Defaults to ((0, 0, 0), (255, 0, 0), (255, 255, 0)).\r\n\r\n        Returns:\r\n            numpy.ndarray: The generated chessboard image as a NumPy array.\r\n\r\n        Example:\r\n            from npchessimage import create_chessboard\r\n\r\n            chessboard = create_chessboard(block_size=20, width=800, height=600, colors=((255, 255, 255), (0, 0, 0)))\r\n            print(chessboard.shape)\r\n\r\n            # Output:\r\n            # (600, 800, 3)\r\n\r\n            img = create_chessboard(\r\n                block_size=10,\r\n                width=200,\r\n                height=300,\r\n                colors=((0, 0, 0), (255, 0, 0), (255, 255, 0)),\r\n            )\r\n            import cv2\r\n            cv2.imwrite('c:\\\\testimage.png',img)\r\n```\r\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Creates a chessboard pattern as an image.",
    "version": "0.10",
    "project_urls": {
        "Homepage": "https://github.com/hansalemaos/npchessimage"
    },
    "split_keywords": [
        "chessboard",
        "image",
        "numpy"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "611aa8256cfad27b2293f3cecfa2fc6d4eb0943560c45c89ed0db99f25cd1304",
                "md5": "4c94626879a4da93e92b85bf766ad224",
                "sha256": "84fbf16b3fd290fc04303ddeddddce56ec61a46fc895d816c6b8eae2aab79e65"
            },
            "downloads": -1,
            "filename": "npchessimage-0.10-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "4c94626879a4da93e92b85bf766ad224",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 20886,
            "upload_time": "2023-07-19T01:28:51",
            "upload_time_iso_8601": "2023-07-19T01:28:51.485174Z",
            "url": "https://files.pythonhosted.org/packages/61/1a/a8256cfad27b2293f3cecfa2fc6d4eb0943560c45c89ed0db99f25cd1304/npchessimage-0.10-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6a4cc1c5382d5a0cae8d57f59ea4708a8d99b04764a00de318bf99ffec5a5403",
                "md5": "b9ab25b2ed407e00dfc9dfafb486b977",
                "sha256": "c88ae6f6e93ce1f6db9789d15466dfdfa4f44d712f72091215b87604e45cfc85"
            },
            "downloads": -1,
            "filename": "npchessimage-0.10.tar.gz",
            "has_sig": false,
            "md5_digest": "b9ab25b2ed407e00dfc9dfafb486b977",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 20400,
            "upload_time": "2023-07-19T01:28:52",
            "upload_time_iso_8601": "2023-07-19T01:28:52.816659Z",
            "url": "https://files.pythonhosted.org/packages/6a/4c/c1c5382d5a0cae8d57f59ea4708a8d99b04764a00de318bf99ffec5a5403/npchessimage-0.10.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-07-19 01:28:52",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "hansalemaos",
    "github_project": "npchessimage",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [],
    "lcname": "npchessimage"
}
        
Elapsed time: 0.17219s