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https://github.com/computationalcore/introduction-to-opencv

This is a collection of Jupyter notebooks that is intended to provide an introduction to OpenCV's Python interface.
https://github.com/computationalcore/introduction-to-opencv

computer-vision jupyter-notebook opencv python python3

Last synced: 2 months ago
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This is a collection of Jupyter notebooks that is intended to provide an introduction to OpenCV's Python interface.

Host: GitHub
URL: https://github.com/computationalcore/introduction-to-opencv
Owner: computationalcore
License: mit
Created: 2020-01-18T17:11:57.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2020-04-03T16:17:50.000Z (almost 5 years ago)
Last Synced: 2024-04-16T01:55:04.272Z (9 months ago)
Topics: computer-vision, jupyter-notebook, opencv, python, python3
Language: Jupyter Notebook
Homepage:
Size: 4.44 MB
Stars: 26
Watchers: 1
Forks: 13
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # Introduction to OpenCV

This is a collection of Jupyter notebooks that is intended to provide an introduction to OpenCV's Python interface. All notebooks were initially developed and released by [Hannah](https://github.com/handee/opencv-gettingstarted), with some minors changes, code update for python3, and some other customizations provided by me.

The target audience is broad and includes

 * People who have done computer science (maybe to graduate level) but who have not looked at OpenCV before

 * People who are studying other subjects and want to play with computer vision

![No idea](https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/assets/noidea.jpg "I have no idea")

## Notebooks

The notebooks are divided by the following lessons. 

I also provided the estimated time required to complete each lesson, a link to the source code, and the Google Colab link where anyone can use to follow the lessons and run the examples.

| Lesson        | Estimated time needed | Source Code  | Colab |

| ------------- |:---------------------:| :-----------:| -----:|

| OpenCV fundamentals       | 20 min | [Open](https://github.com/computationalcore/introduction-to-opencv/blob/master/notebooks/1-Fundamentals.ipynb) | [Open](https://colab.research.google.com/github/computationalcore/introduction-to-opencv/blob/master/notebooks/1-Fundamentals.ipynb) |

| Image stats and image processing       | 20 min | [Open](https://github.com/computationalcore/introduction-to-opencv/blob/master/notebooks/2-Image_stats_and_image_processing.ipynb) | [Open](https://colab.research.google.com/github/computationalcore/introduction-to-opencv/blob/master/notebooks/2-Image_stats_and_image_processing.ipynb) |

| Features in computer vision       | 20 min | [Open](https://github.com/computationalcore/introduction-to-opencv/blob/master/notebooks/3-Features.ipynb) | [Open](https://colab.research.google.com/github/computationalcore/introduction-to-opencv/blob/master/notebooks/3-Features.ipynb) |

| Cascade Classification      | 20 min | [Open](https://github.com/computationalcore/introduction-to-opencv/blob/master/notebooks/4-Cascade_classification.ipynb) | [Open](https://colab.research.google.com/github/computationalcore/introduction-to-opencv/blob/master/notebooks/4-Cascade_classification.ipynb) |

| **Total** | **80 min** |  |  |

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

* [Hannah](https://github.com/handee)

* [HCC Summer School in Bremen](http://hcc.uni-bremen.de/school2016/)

* [OpenCV](https://opencv.org/)

* [Raph Trajano](https://github.com/raphtrajano)

* [Nelson Perez](https://github.com/bilthon)

And a special thanks to [Raph Trajano](https://github.com/raphtrajano) for reviewing and fixing the materials.