Read Video Files Using OpenCV Python
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
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
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
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
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?
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
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
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)....
Simple Object Detection with Bounding Box Regression in TensorFlow
Object detection is a fundamental task in computer vision that involves identifying and locating objects within an image or video. In this post, we will be discussing a simple method...
Human Face Landmark Detection in TensorFlow using Pre-trained MobileNetv2
Today, in this blog post, we will learn how to train a Convolutional Neural Network (CNN) to detect human facial landmarks, such as eyes, mouth, nose, jawline and more. We...