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Status](https://github.com/scivision/morecvutils/workflows/ci_python/badge.svg)](https://github.com/scivision/morecvutils/actions)\n\n\n\n[![Python versions (PyPI)](https://img.shields.io/pypi/pyversions/morecvutils.svg)](https://pypi.python.org/pypi/morecvutils)\n[![Downloads](https://pepy.tech/badge/morecvutils)](https://pepy.tech/project/morecvutils)\n\n# CVutils\n\nUses Python with\n[OpenCV](https://scivision.dev/category/opencv/)\nin miscellaneous demos of algorithms useful for computer vision.\n\nNote: Line clipping was [moved to its own repo](https://github.com/scivision/lineclipping-python-fortran).\n\n## Install\n\n```sh\npython -m pip install -e .\n```\n\n## Functions\n\n* draw_flow()  given a 2-D complex Numpy array of optical flow `flow`, draw flow vectors with arrows\n* draw_hsv() make a colored HSV image corresponding to flow direction and intensity at each point\n* connectedComponents.py  given a binary image `morphed` and the `blobdet` from `setupblob()`, along with `img`, do connected components analysis\n* OpticalFlow_Matlab_vs_Python.py   using Horn-Schunck optical flow estimation with OpenCV in Python. Not so obvious from the docs, and with notes on how to make this\n  [match Matlab's vision.opticalFlowHS method](https://scivision.dev/opencv-cv-calcopticalflowhs-horn-schunck-smoothness-lambda-parameter/).\n  [Install Matlab Engine for Python](https://scivision.dev/matlab-engine-callable-from-python-how-to-install-and-setup/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscivision%2Fmorecvutils","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fscivision%2Fmorecvutils","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscivision%2Fmorecvutils/lists"}