Posted in Computer Vision, Deep Learning

What is Residual Network or ResNet?

Nikhil Tomar
posted on 25th September 202125th September 2021
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Deep neural networks have become popular due to their high performance in real-world applications, such as image classification, speech recognition, machine translation and many more. Over time

Posted in Computer Vision, Deep Learning

What is Transfer Learning? – A Simple Introduction.

Nikhil Tomar
posted on 24th August 202126th August 2021
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Transfer Learning is a technique in machine learning where we reuse a pre-trained model to solve a different but related problem. It is one of the popular methods to train the deep neural network. It

Posted in Computer Vision, Python, TensorFlow

Human Image Segmentation with DeepLabV3+ in TensorFlow

Nikhil Tomar
posted on 4th August 20214th August 2021
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In this article, you will learn to perform person segmentation with DeepLabV3+ architecture on human images. Here, we will cover the entire process of image segmentation starting from data processing

Posted in Computer Vision, OpenCV, Python

cv2.imwrite() – Saving Images in OpenCV Python

In our previous tutorials – cv2.imread() – Read Image using OpenCV Python and cv2.resize() – Resizing Image using OpenCV Python, we have learned to read and resize an image. We will now learn

Posted in Computer Vision, Python, PyTorch

RESUNET Implementation in PyTorch

This tutorial focuses on implementing the image segmentation architecture called Deep Residual UNET (RESUNET) in the PyTorch framework. It’s an encoder-decoder architecture

Posted in Computer Vision, Deep Learning, Python, PyTorch

UNET Implementation in PyTorch

This tutorial focus on the implementation of the image segmentation architecture called UNET in the PyTorch framework. It’s a simple encoder-decoder architecture developed by Olaf Ronneberger

Posted in Computer Vision, Deep Learning

Convolution Neural Network (CNN) – Fundamental of Deep Learning

Convolutional Neural Network (CNN) is used to solve a wide range of visual tasks such as image classification, object detection, semantic segmentation, and many more. CNN consists of a series of

Posted in Computer Vision, Deep Learning, Python, TensorFlow

UNET Implementation in TensorFlow using Keras API

Nikhil Tomar
posted on 15th February 202115th February 2021
3 Comments

In this post, you will learn how to implement UNET architecture in TensorFlow using Keras API. The post helps you to learn about UNET, and how to use it for your research. UNET is one of the most

Posted in Computer Vision, OpenCV, Python

Extract and Saving Frame from Videos in Python

Nikhil Tomar
posted on 12th February 202110th June 2021
No Comment

In this post, we are going to learn and build a python program where we are going to extract and save frames from videos using the OpenCV library. OpenCV is one of the most commonly used library for

Posted in Computer Vision, Deep Learning, Python, TensorFlow

What is RESUNET

Nikhil Tomar
posted on 6th February 20216th February 2021
1 Comment

RESUNET refers to Deep Residual UNET. It’s an encoder-decoder architecture developed by Zhengxin Zhang et al. for semantic segmentation. It was initially used for the road extraction from the

Idiot Developer

What is Residual Network or ResNet?

What is Transfer Learning? – A Simple Introduction.

Human Image Segmentation with DeepLabV3+ in TensorFlow

cv2.imwrite() – Saving Images in OpenCV Python

RESUNET Implementation in PyTorch

UNET Implementation in PyTorch

Convolution Neural Network (CNN) – Fundamental of Deep Learning

UNET Implementation in TensorFlow using Keras API

Extract and Saving Frame from Videos in Python

What is RESUNET

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