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# Session #10: Computer Vision - OpenCV
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## Contents Covered in the Session
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1. Introduction to OpenCV
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2. Working with Images
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3. Image Processing Techniques
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4. Feature Detection
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5. Working with Videos
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6. Hacktoberfest
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7. Hacktoberfest+OpenCV
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## Links to resources
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> ### [Link to slides]
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> ### [Link to the notebook]
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> ### [Link to session recording]

Python Libraries Series/Images Processing using Pillow/[Colab] PIL.ipynb renamed to Python Libraries Series/Image Processing using Pillow/[Colab] PIL.ipynb

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Python Libraries Series/Images Processing using Pillow/[Slides] PIL.pdf renamed to Python Libraries Series/Image Processing using Pillow/[Slides] PIL.pdf

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Python Libraries Series/Images Processing using Pillow/readme.md renamed to Python Libraries Series/Image Processing using Pillow/readme.md

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Python Libraries Series/readme.md

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<br>
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<em>- By Soumya Vemuri</em></td>
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<td style="border: none;" align="left" width="20%"><a href="https://github.com/WomenWhoCode/WWCodePython/tree/master/Python%20Libraries%20Series/Computer%20Vision%20with%20OpenCV"><img alt="OpenCV" align="left" src="images/opencv.png"/>&nbsp;</td>
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<td colspan="3"><b>Computer Vision with OpenCV</b>
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<br><br>A guide through one of the largest open-source libraries that provides us with various functions for OpenCV.<br>
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<br>
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<em>- By Archana Iyer</em></td>
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