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Tag: computer vision

ResUNET: A TensorFlow Implementation for Semantic Segmentation
Computer Vision Deep Learning TensorFlow

ResUNET: A TensorFlow Implementation for Semantic Segmentation

Nikhil Tomar1st February 20241st February 2024
In computer vision and medical image analysis, semantic segmentation plays a pivotal role in understanding and interpreting visual data. One of the prominent architectures in this domain is ResUNet, a...
ColonSegNet Implementation In TensorFlow
Computer Vision Deep Learning TensorFlow

ColonSegNet Implementation In TensorFlow

Nikhil Tomar25th January 202416th September 2024
In this article, we will explore the technical intricacies of implementing ColonSegNet in TensorFlow. ColonSegNet is a lightweight, real-time colon segmentation architecture that has garnered attention for its efficiency in...
ColonSegNet: A Lightweight Real-Time Colon Segmentation Architecture
Deep Learning

ColonSegNet: A Lightweight Real-Time Colon Segmentation Architecture

Nikhil Tomar24th January 2024
In the ever-evolving landscape of computer vision and medical imaging, achieving real-time performance in segmentation tasks is crucial. ColonSegNet, a novel encoder-decoder architecture, has emerged as a beacon of efficiency,...
Step-by-Step Guide to ResNet50 UNET in TensorFlow
Computer Vision Deep Learning TensorFlow

Step-by-Step Guide to ResNet50 UNET in TensorFlow

Nikhil Tomar21st January 202421st January 2024
Semantic segmentation, a crucial task in computer vision, plays a pivotal role in various applications such as medical image analysis, autonomous driving, and object recognition. In this tutorial, we will...
Anime Face Generation with Deep Convolutional GANs (DCGAN)
Computer Vision TensorFlow

Anime Face Generation with Deep Convolutional GANs (DCGAN)

Nikhil Tomar12th January 202412th January 2024
Generative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence, enabling the creation of realistic images from scratch. In this tutorial, we'll dive into the implementation of a Deep...
Conditional GAN in TensorFlow
Computer Vision Deep Learning

Conditional GAN in TensorFlow

Nikhil Tomar18th August 202318th August 2023
In this tutorial, we will implement the Conditional GAN (Generative Adversarial Network) in TensorFlow using Keras API. For this purpose, we will use the Shoe vs Sandal vs Boot Image...
What is a Conditional GAN: Unleashing the Power of Context in Generative Models
Computer Vision Deep Learning

What is a Conditional GAN: Unleashing the Power of Context in Generative Models

Nikhil Tomar17th August 202317th August 2023
In the rapidly evolving landscape of artificial intelligence and machine learning, Generative Adversarial Networks (GANs) have emerged as a revolutionary approach to generating data that mimics real-world distributions. One intriguing...
Vanilla GAN in TensorFlow
Computer Vision Deep Learning TensorFlow

Vanilla GAN in TensorFlow

Nikhil Tomar14th August 202315th August 2023
This tutorial will teach you how to implement basic Generative Adversarial Networks (GANs) in TensorFlow using Keras API. For this purpose, we will utilize the Anime Face Dataset and try...
Read 3D NIFTI Images in Python3
OpenCV Python

Read 3D NIFTI Images in Python3

Nikhil Tomar11th April 202311th April 2023
Medical imaging is an essential tool in the diagnosis, treatment, and monitoring of various medical conditions. One of the most widely used medical imaging techniques is Magnetic Resonance Imaging (MRI),...
Attention UNET in PyTorch
Computer Vision PyTorch

Attention UNET in PyTorch

Nikhil Tomar27th February 202327th February 2023
In this article, we are going to learn about the Attention UNET and then implement it in the PyTorch framework. Attention UNET is a type of Convolutional Neural Network (CNN)...

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