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LICENSE

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MIT License
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Copyright (c) 2016 Hannah
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Copyright (c) 2020 Vin Busquet
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

README.md

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# Introduction to OpenCV
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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.
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The target audience is broad and includes
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* People who have done computer science (maybe to graduate level) but who have not looked at OpenCV before
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* People who are studying other subjects and want to play with computer vision
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![No idea](https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/assets/noidea.jpg "I have no idea")
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## Notebooks
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The notebooks are divided by the following lessons.
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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.
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| Lesson | Estimated time needed | Source Code | Colab |
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| ------------- |:---------------------:| :-----------:| -----:|
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| 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) |
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| **Total** | **20 min** | | |
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## License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## Acknowledgments
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* [Hannah](https://github.com/handee)
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* [HCC Summer School in Bremen](http://hcc.uni-bremen.de/school2016/)
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* [OpenCV](https://opencv.org/)
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And a special thanks to [Nelson Perez](https://github.com/bilthon) for reviewing the materials.

notebooks/1-Fundamentals.ipynb

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"version": "3.6.0"
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},
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"colab": {
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"name": "Copy of 1-Fundamentals.ipynb",
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"name": "1-Fundamentals.ipynb",
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"provenance": [],
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"collapsed_sections": [],
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"toc_visible": true
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"\n",
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"We'll use the following sample image, stolen from the Internet. But you can use whatever image you like.\n",
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"\n",
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"![No idea](https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/noidea.jpg \"I have no idea\")\n",
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"![No idea](https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/assets/noidea.jpg \"I have no idea\")\n",
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"\n",
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"<p>\n",
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" Estimated time needed: <strong>20 min</strong>\n",
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"</p>\n",
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"\n"
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]
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},

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