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In this first article, we will focus on the introduction of computer vision, and the face detection application based on the Python OpenCV
Separable Convolutions is a process in which a single convolution can be divided into two or more convolutions to produce the same output
Discover how to build a face recognition attendance system using Python and computer vision. Explore algorithms, applications, & challenges.
Discover the power of Facial Emotion Detection technology, its applications in AI, and the future of emotion recognition systems.
Understand the concept of Kalman filter & its use in data science to remove noise from sensor-based systems, applicability & implementation.
Camera calibration is the process of determining specific camera parameters in order to complete operations with specified measurements.
In this article we are going to get a hang of Getting started with the basic tasks of Computer Vision which including blending images
In this article we understand Pose Estimation. Pose estimation is a computer vision technique to track the movements of a person or an object
In this article, we will be using OpenCV and dlib to extract faces from a given image and then we will try to creeate a face mesh application
Deepfakes are synthetic videos generated by Artificial Intelligence of any person or celebrity that impersonates the actual person
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