Join Patrick W. Crawford for an in-depth discussion in this video Next steps, part of OpenCV for Python Developers.
- [Patrick] I hope you have enjoyed this course…on OpenCV 3 and Python 3 image processing.…There was a lot to cover,…and there are still plenty of areas to look into.…If you want to become more familiar with image processing,…I recommend looking into other algorithms and techniques…available with the OpenCV library…and to become familiar with the OpenCV documentation.…Note that the library isn't limited to just Python.…The same algorithms and methodology we learned here…will work with OpenCV for iOS and Android…as it would for compiled C++ code.…
If you find yourself searching for more online resources,…such as blogs or tutorials,…be mindful that many demonstrate…the use of older Python 2 releases…or earlier OpenCV builds.…Generally speaking, though,…the techniques and commands remain consistent…across versions of OpenCV and Python.…If you want to learn more about myself…and my own past experience with OpenCV,…my name is Patrick Crawford,…and my website is theduckcow.com.…I'm also on Twitter @TheDuckCow.…Thanks again for taking this course,…
AuthorPatrick W. Crawford
- Installing and configuring OpenCV
- Data types and structures
- Image types
- Manipulating pixels
- Scaling and rotating images
- Using video inputs
- Creating custom interfaces
- Object detection
- Face and feature detection
- Template matching
Skill Level Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
Python: Programming Efficientlywith Michele Vallisneri2h 15m Intermediate
1. Install and Configure OpenCV
2. Basic Image Operations
3. Object Detection
4. Face and Feature Detection
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