Building Computer Vision Projects with OpenCV 4 and C++
OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation.
Whether you're completely new to computer vision or already have basic knowledge of its concepts, this Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll get an understanding of how to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
This Learning Path includes content from the following Packt books:
|Course Length||16 hours 8 minutes|
|Date Of Publication||26 Mar 2019|
|Introducing machine learning concepts|
|Computer vision and the machine learning workflow|
|Automatic object inspection classification example|