https://github.com/scivision/morecvutils

Python computer vision algorithms using OpenCV, including plots
https://github.com/scivision/morecvutils

cohen-sutherland computer-vision geoscience opencv

Last synced: 3 months ago
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Python computer vision algorithms using OpenCV, including plots

• Host: GitHub
• URL: https://github.com/scivision/morecvutils
• Owner: scivision
• License: mit
• Created: 2014-05-12T19:06:59.000Z (about 12 years ago)
• Default Branch: main
• Last Pushed: 2026-02-11T13:51:14.000Z (4 months ago)
• Last Synced: 2026-02-11T21:50:42.025Z (4 months ago)
• Topics: cohen-sutherland, computer-vision, geoscience, opencv
• Language: Python
• Homepage:
• Size: 660 KB
• Stars: 6
• Watchers: 1
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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# CVutils

Uses Python with

[OpenCV](https://scivision.dev/category/opencv/)

in miscellaneous demos of algorithms useful for computer vision.

Note: Line clipping was [moved to its own repo](https://github.com/scivision/lineclipping-python-fortran).

## Install

```sh

python -m pip install -e .

```

## Functions

* draw_flow()  given a 2-D complex Numpy array of optical flow `flow`, draw flow vectors with arrows

* draw_hsv() make a colored HSV image corresponding to flow direction and intensity at each point

* connectedComponents.py  given a binary image `morphed` and the `blobdet` from `setupblob()`, along with `img`, do connected components analysis

* 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

  [match Matlab's vision.opticalFlowHS method](https://scivision.dev/opencv-cv-calcopticalflowhs-horn-schunck-smoothness-lambda-parameter/).

  [Install Matlab Engine for Python](https://scivision.dev/matlab-engine-callable-from-python-how-to-install-and-setup/)