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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
Discover Generative Adversarial Networks (GANs), their types, applications, training process, and practical implementation in this guide.
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