OpenCV 4 Computer Vision with Python Recipes [Video]
![[Image: V13146_low.png]](https://dz13w8afd47il.cloudfront.net/sites/default/files/imagecache/ppv4_main_book_cover/bookretailers/V13146_low.png)
This video 'OpenCV 4 Computer Vision with Python Recipes' by Muhammad Hamza Javed (January 2019) will expand your OpenCV knowledge & use of machine learning to your advantage with this practical hands-on course!
What You Will Learn:
1. How to build real-world Computer Vision applications.
2. Deploy Face and Eyes Detection with HAAR Cascade Classifiers.
3. Recognize Age, Gender and Emotions and Roadside Landmarks.
4. Develop Fast QR Code Detection and Decoding application.
5. Create DNN based Image Classifier.
6. Train an Object Detection Model and Detect Persons and Vehicles.
Author:
Muhammad Hamza Javed
Muhammad Hamza Javed is a self-taught Machine Learning engineer, an entrepreneur and an author having over five years of industrial experience. He and his team has been working on several Computer Vision and Machine Learning international projects. He started working when he was 17 and kept learning new technologies and skills since then. His areas of expertise include Computer Vision, Machine Learning and Deep Learning. He learned skills own his own without a direct mentor - so he knows how troublesome it is for everyone to find to-the-point content that really improves one’s skill-set. He’s designed this course considering the challenges he faced when he learned and in the projects, so you don’t have to spend too much time on finding what’s best for you.
This video 'OpenCV 4 Computer Vision with Python Recipes' by Muhammad Hamza Javed (January 2019) will expand your OpenCV knowledge & use of machine learning to your advantage with this practical hands-on course!
What You Will Learn:
1. How to build real-world Computer Vision applications.
2. Deploy Face and Eyes Detection with HAAR Cascade Classifiers.
3. Recognize Age, Gender and Emotions and Roadside Landmarks.
4. Develop Fast QR Code Detection and Decoding application.
5. Create DNN based Image Classifier.
6. Train an Object Detection Model and Detect Persons and Vehicles.
Author:
Muhammad Hamza Javed
Muhammad Hamza Javed is a self-taught Machine Learning engineer, an entrepreneur and an author having over five years of industrial experience. He and his team has been working on several Computer Vision and Machine Learning international projects. He started working when he was 17 and kept learning new technologies and skills since then. His areas of expertise include Computer Vision, Machine Learning and Deep Learning. He learned skills own his own without a direct mentor - so he knows how troublesome it is for everyone to find to-the-point content that really improves one’s skill-set. He’s designed this course considering the challenges he faced when he learned and in the projects, so you don’t have to spend too much time on finding what’s best for you.