After writing articles helping people to install OpenCV here on this blog, some asked me to share a little more about OpenCV, not just the installation part. I started thinking about a way to deliver this information when suddenly Packt publishing contacted me about making a video course tutorial for OpenCV. I knew it was the perfect solution, so I immediately said yes. After the publication of the video course at Packt, I was glad to see it appear also in the official website of OpenCV.
This video course starts right at the beginning, with an explanation of what OpenCV is and its installation. Then, you learn all the basics of OpenCV, followed by some of the basics of image processing. Then, you will be ready to detect objects, recognize faces, train your own detector, remove distortion from your photos, and play with images in 3D.
Here are the things that you will learn with this video course:
- Learn what OpenCV is and how to install it on Linux and Windows
- Development with OpenCV using the recommended C++ interface, as well as an introduction to the Python and C interfaces.
- Segment objects in your images using grabcut and watershed, cluster your data, and spot interesting points in the image
- Merge different images into a single panorama using the technique called panorama stitching
- Detect common objects in your images, like faces, eyes, or people
- Train your own object detector to detect custom objects
- Recognize a face among many others
- Learn to calibrate your camera
- Remove or reduce the distortion of an image caused by the lens, commonly known as barrel distortion
- Change the perspective of an image to match a different 3D pose
- Create an image that represents depth information of the scene using stereoscopic images
This is an easy to follow video course for people that are just starting with OpenCV. Even people that are used to OpenCV may benefit from some of the more advanced videos since you can just pick and choose which video you want to learn from.
You can check out the video course here.