Learn Computer Vision with OpenCV and Python

Note: You will find real world examples (not only using implemented functions in OpenCV) and i’ll add more by the time. It means that course content will expand with new special examples!.

***New Chapter***: How to Prepare dataset and Train Your Deep Learning Model was added to the course. You will learn how to prepare a simple dataset, label the objects and train your own deep learning model.

***New Special App***: Search team logos was added to the course. You will learn how you can compare images and find similar image/object in your dataset.

***New Chapter***: Special Apps – Missing and Abandoned Object Detection was added to the course. You will learn how to do an application for missing object detection and abandoned object detection

***New Chapter***: Facial Landmarks and Special Applications (real time sleep and smile detection) videos was added to the course!

***Different Special Applications Chapter***: new videos in different topics will be shared under this chapter. You can look at Soccer players detection and deep learning based API for object detection examples.

In this course, you are going to learn computer vision & image processing from scratch. You will reach all resources, have many examples and explanations of these examples.

The explanations are easy to understand and also you can ask the points you need.

I have shared key concepts with you without the heavily mathematical theory, so we can focus the implementation.