setup.py

# -*- coding: utf-8 -*-
from setuptools import setup

packages = ["cv_aid", "tests"]

package_data = {"": ["*"]}

modules = ["scripts"]
install_requires = [
    "deepstack-sdk>=0.2.1,<0.3.0",
    "filetype>=1.0.9,<2.0.0",
    "numpy>=1.21,<2.0",
    "opencv-python>=4.1.0,<5.0.0",
]

entry_points = {"console_scripts": ["test = scripts:test"]}

setup_kwargs = {
    "name": "cv-aid",
    "version": "0.1.4",
    "description": "CV Aid is a set of helpers for computer vision tasks.",
    "long_description": "# cv-aid\nCV Aid is a set of helpers of computer vision tasks.\n\n## Installation\n\n`pip install cv-aid`\n\n### From source\n\n```\ngit clone https://github.com/khalidelboray/cv-aid\ncd cv-aid\npoetry install\npoetry run python setup.py install\n```\n\n## Tests\n\n`poetry run test`\n\nall tests are in `tests/` directory.\n\n## Examples\n\n- Basic Frame Functions\n\n    ```python\n    from cv_aid import Frame\n\n    frame = Frame.load('/path/to/image.jpg')\n    # or\n    import cv2\n    frame = Frame(cv2.imread('/path/to/image.jpg'))\n\n    # Grayscale image\n    gray = frame.gray()\n\n    # Resize image\n    small = frame.resize(width=100, height=100)\n\n    # Crop image\n    cropped = frame.crop(x=100, y=100, width=100, height=100)\n\n    # All methods return a new Frame object, so you can chain them\n    new_frame = frame.resize(width=100, height=100).crop(x=100, y=100, width=100, height=100)\n\n    # Save image\n    frame.save('/path/to/image.jpg')\n    ```\n\n- Basic Video Functions\n\n    ```python\n    from cv_aid import VideoStream, Frame\n    import cv2\n    import numpy as np\n\n\n    def on_frame(frame: Frame) -> Frame:\n        \"\"\"\n        A function that is called when a frame is read from the video stream.\n\n        :param frame: The frame that was read.\n        :return: The frame that was read.\n        \"\"\"\n        orig = frame\n        canny = frame.gray().canny(50, 100)\n        line_image = Frame(np.copy(orig.frame) * 0)\n        lines = cv2.HoughLinesP(\n            canny.frame, 1, np.pi / 180, 50, np.array([]), minLineLength=10, maxLineGap=5\n        )\n        if lines is not None:\n            for line in lines:\n                line = line[0]\n                line_image = line_image.line(\n                    (line[0], line[1]), (line[2], line[3]), (0, 255, 0), 3\n                )\n        lines_edges = cv2.addWeighted(orig.frame, 0.8, line_image.frame, 1, 1)\n        return Frame(lines_edges)\n\n\n    stream = VideoStream(src=0, on_frame=on_frame).start()\n    stream.start_window()\n    ```\n\n    *Output Demo:*\n\n    ![Code Window](/images/stream.png)",
    "author": "Khalid Mohamed Elborai",
    "author_email": "accnew820@gmail.com",
    "maintainer": None,
    "maintainer_email": None,
    "url": "https://github.com/khalidelboray/cv-aid",
    "packages": packages,
    "package_data": package_data,
    "py_modules": modules,
    "install_requires": install_requires,
    "entry_points": entry_points,
    "python_requires": ">=3.8,<4.0",
}


setup(**setup_kwargs)