Book

Mastering OpenCV 4

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
9h20m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 9h20m total length

1. Cartoonifier and Skin Color Analysis on the RaspberryPi
2. Exploring Structure from Motion with the SfM Module
3. Face Landmark and Pose Estimation with the Face Module
4. Number Plate Recognition with Deep Convolutional Networks
5. Face Recognition with the DNN Module
6. Introduction to Web Computer Vision with OpenCv.js
7. Android Camera Calibration and AR using the ARUco Module
8. iOS Image Stitching with the Stitching Module
9. Finding the Best OpenCV Algorithm for the Job
10. Avoiding Common Pitfalls in OpenCV

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