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OpenCV is an open-source machine learning library for Python that adds enhanced artificial intelligence capabilities in computer vision and image processing.

This course is a comprehensive introduction to building applications using OpenCV, including viewing, identifying, and editing image and video files using Python. You’ll start with an introduction to the library before immediately applying the framework to view images, video, webcam input, and text. You’ll then take your image captures and apply various edits, including decolorization, cropping, resizing, and captioning with layered text and objects. You’ll continue with basic machine learning functions, including edge, object, and face detection. With the basics in hand, you’ll wrap up with real-world projects to build document scanners and object trackers.

By the end of this course, you’ll have a working knowledge of OpenCV and machine learning. You’ll be prepared to build functional applications using the principles of computer vision in Python.

Mastering Computer Vision in Python with OpenCV

Well done! You’ve learned so much about OpenCV. Now, you can write many scripts to solve our daily problems through OpenCV.

Keep exploring the ideas and concepts that you’ve learned in this course! Try solving some real-life problems using OpenCV. There are still many concepts and techniques in OpenCV that we didn’t cover that are still left for you to discover—the next step is to go out and find them!

We suggest you start with deep learning and cascade development. You could also look at how to create automatic test graders, object trackers, and various other projects through OpenCV.

 If you are planning to apply for a job, take a look at the courses [Ace the Python Coding Interview](https://www.educative.io/path/ace-python-coding-interview) and [Become a Machine Learning Engineer](https://www.educative.io/path/become-a-machine-learning-engineer).

Keep coding!!

Introduction to Python OpenCV

Read Images, Videos, and Webcam

Editing Images

Reading and Editing Images with OpenCV

Advanced Editings

Detection

Assessment on Advanced Editing and Detection

Real-life projects

Conclusion

What Next?