cvpy-toolkit 0.1.0

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Computer Vision for Python Toolkit

Welcome to cvpy, a Python library designed to simplify and streamline common computer vision tasks, with a particular focus on segmentation.

Features

1. Image Segmentation Toolkit (cvpy.imseg)

The cvpy.imseg package provides robust tools for creating and manipulating:

• Bounding Boxes: Easily define and adjust bounding boxes within images.
• Contours: Tools to work with image contours, simplifying the process of identifying and working with object boundaries.

Within this package, you'll also find cvpy.imseg.immasks, which includes:

• Image Segmentation Masks: Support for various representations of image segmentations (masks), enabling flexible and efficient manipulation of mask data. Including - BinaryMask - SpareMask - CategoricalMask - CompoundMask

2. OpenCV Wrapper and Extender (cvpy.cvw)

The cvpy.cvw package acts as a wrapper and extender for OpenCV, adding new functionality and simplifying common OpenCV workflows, while maintaining compatibility with the broader OpenCV ecosystem.

Highlights include - a simple GUI generator. - FileNotFound Errors for cv2.imread

Installation

To install cvpy, simply run:

pip install cvpy-toolkit

Getting Started

TODO(add some examples)

Contributing

We welcome contributions to cvpy. If you'd like to contribute, please fork the repository, make your changes, and submit a pull request.

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Let me know if you'd like any changes or additions!