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GradCAM and its Implementation in PyTorch
Computer Vision Deep Learning PyTorch

GradCAM and its Implementation in PyTorch

Nikhil Tomar1st March 20251st March 2025
Deep learning models, especially convolutional neural networks (CNNs), often function as black boxes, making it difficult to interpret their decision-making processes. Gradient-weighted Class Activation Mapping (GradCAM) is a powerful technique...
GradCAM with TensorFlow: Interpreting Neural Networks with Class Activation Maps
Blog TensorFlow

GradCAM with TensorFlow: Interpreting Neural Networks with Class Activation Maps

Nikhil Tomar26th February 2025
Deep learning models, particularly convolutional neural networks (CNNs), are widely used for image classification, object detection, and various computer vision tasks. However, these models are often referred to as "black...
Read Video Files Using OpenCV Python
OpenCV Python

Read Video Files Using OpenCV Python

Nikhil Tomar25th August 202425th August 2024
Reading and processing video files is a common task in computer vision, and OpenCV makes it easy to work with video data. In this article, we'll go through the process...
Image Masking with OpenCV AddWeighted
Computer Vision OpenCV

Image Masking with OpenCV AddWeighted

Nikhil Tomar13th August 202415th August 2024
Image masking is a powerful technique used in image processing to manipulate specific parts of an image while leaving other areas untouched. This is particularly useful in applications like object...
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...
Image Segmentation-based Background Removal in TensorFlow
Computer Vision Deep Learning TensorFlow

Image Segmentation-based Background Removal in TensorFlow

Nikhil Tomar11th February 202311th February 2023
Image segmentation is an important area of computer vision that involves dividing an image into multiple segments, each of which corresponds to a different object. Background removal is one of...
Exploring Bounding Boxes and Different Annotation Formats in Object Detection
Computer Vision

Exploring Bounding Boxes and Different Annotation Formats in Object Detection

Nikhil Tomar10th February 202310th February 2023
Bounding boxes play a critical role in the object detection process, a fundamental task in computer vision. Object detection entails the identification and precise localization of objects within an image....
What is Intersection over Union (IoU) in Object Detection?
Computer Vision Python PyTorch TensorFlow

What is Intersection over Union (IoU) in Object Detection?

Nikhil Tomar7th February 20238th February 2023
Intersection over Union (IoU) is a popular evaluation metric used in the field of computer vision and object detection. It is used to calculate the overlap between two bounding boxes...
Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow
Computer Vision Deep Learning TensorFlow

Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow

Nikhil Tomar6th February 20236th February 2023
In recent years, advances in machine learning and deep learning techniques have revolutionized the field of computer vision. With the help of these techniques, we can now detect and identify...
What is U2-Net or U-square Net
Deep Learning

What is U2-Net or U-square Net

Nikhil Tomar1st February 20231st February 2023
U2-Net is a simple and powerful architecture designed for the purpose of salient object detection (SOD). It is a two-level nested U-shaped architecture built using the proposed ReSidual U-blocks (RSU)....

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