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This article is a guide to Building a Hand Tracking System using OpenCV. Let's understand this with implementation in python
DCGAN uses convolutional and convolutional-transpose layers in the generator and discriminator, respectively for image data
In this article we are going to perform facial landmark detection using opencv and mediapipe. We will detect 468 face landmarks in an image.
Here, we will use the real-time background replacement technique to substitute the backgrounds and add replace them with the desired content.
In this article, we will be Understanding Taming Transformers for High-Resolution Image Synthesis using VQGAN and VQ-VAE approaches
In this blog, we will explained some basic functions of OpenCV Library to get started with learning and using this library.
We will develop a model to detect covid19 cough from mel spectrogram using CNN. Mel spectrogram is a spectrogram, converted to a Mel scale.
In this article, we will learn Face recognition using OpenCV in Python & master the skills to implement facial recognition effortlessly.
FaceNet is considered to be a state-of-art model developed by Google. It is based on the inception layer, and explains complete architecture
Pytorch Lightning an open-source library that inherits Pytorch. It automates a lot of the coding that comes with deep learning and neural networks
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