Book Content
chapters • 10h20m total length
1. Getting started with OpenCV
2. An introduction to the basics of OpenCV
3. Learning graphical user interfaces
4. Delving into histrograms and filters
5. Automated optical inspection, object segmentation and detection
6. Learning object classification
7. Detecting face parts and overlaying masks
8. Video surveillance, background modeling, and morphological operations
9. Learning object tracking
10. Developing segmentation algorithms for text recognition
11. Text recognition with Tesseract
12. Deep Learning with OpenCV
