Building Advanced OpenCV3 Projects with Python
Creating impressive applications with OpenCV3
Created by Riaz Munshi
Explore how to build advanced computer vision applications using Python and OpenCV3. You'll work on projects like 3D reconstruction, facial emotion detection, panorama creation, and even train a simulated self-driving car. Gain hands-on experience with real-world techniques that are shaping the future of computer vision.
Packt | Jan 2018 | 210 min
What You Will Learn
You will learn by working through practical projects that tackle real computer vision challenges. Each project guides you through applying OpenCV3 features in Python, from image stitching and facial recognition to autonomous driving simulation. By building these applications, you'll gain both the theory and hands-on skills needed for advanced vision tasks.
Key Features
- Build 3D scene reconstructions and panoramas from multiple 2D images
- Detect facial landmarks and recognize emotions in real-time images
- Train a simulated car to drive itself using computer vision techniques
Target Audience
This content is ideal for developers and tech enthusiasts who already know the basics of OpenCV and want to move into more advanced territory. If you're looking to create practical, impressive computer vision projects or explore the latest in autonomous vehicles and AR, you'll find the skills and confidence you need here.
