- Published on September 6, 2020
- In Deep Tech
How to Build Your Own Face Filter With OpenCV?
In this article, we will learn about the implementation of face filters using a 68 point landmark detector and OpenCV.
- By Bhoomika Madhukar
Face filters are common applications that we use almost every day in our lives. From Snapchat to Instagram there are thousands of filters that allow you to look like an animal, a princess or even another human being. As fun as it is to use these filters, it is also simple to build your own custom face filter. Using basic and efficient OpenCV techniques we will build a custom face filter that replaces your nose with a dog nose.
In this article, we will learn about the implementation of face filters using a 68 point landmark detector and OpenCV.
Understanding the landmark stabilizer.
For this implementation, we will make use of the 68 point landmark stabilizer. Download the stabilizer using this link. The landmark stabilizer is a file from the dlib package that makes i
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Bhoomika Madhukar
I am an aspiring data scientist with a passion for teaching. I am a computer science graduate from Dayananda Sagar Institute. I have experience in building models in deep learning and reinforcement learning. My goal is to use AI in the field of education to make learning meaningful for everyone.
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