Join Patrick W. Crawford for an in-depth discussion in this video What you should know, part of OpenCV for Python Developers.
- [Instructor] To get the most out of this course, it helps to be familiar with Python Three specifically. However, experienced Python 2.7 developers should have no problem following the course. Additionally, some command line familiarity with help for running scripts. Note that you do not need any prior OpenCV or other image processing experience in order to be successful at this course. In terms of software, I'll be showing you full installation process for OpenCV 3.2 and Python 3.6. Specifically for Windows, Mac OS X, and Ubuntu Linux.
If you have older versions of OpenCV and Python, you should be able to follow along, but I would recommend following these steps to install OpenCV 3.2 and Python 3.6. Finally, while I'll be using Sublime Text, any text editing software will work.
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
Python: Programming Efficientlywith Michele Vallisneri2h 15m Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
1. Install and Configure OpenCV
2. Basic Image Operations
3. Object Detection
4. Face and Feature Detection
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