Vikas Gupta
This article explains several performance comparison between different YOLO object detection models. These include YOLOv5, YOLOv6, and YOLOv7.
YOLOv7 Pose is a real time, multi-person, keypoint detection model capable of giving highly accurate pose estimation results.
Human Pose Estimation is an important research area in the field of Computer Vision. It deals with estimating unique points on the human body, also called keypoints. In this blog
Face Recognition is a computer vision technique which enables a computer to predict the identity of a person from an image. This is a multi-part series on face recognition. This
In our previous posts, we discussed how to perform Body and Hand pose estimation using the OpenPose library. Recently, as part of our consulting business, we got a chance to
In this tutorial, we will discuss an interesting application of Deep Learning applied to faces. We will estimate the age and figure out the gender of the person from a
The common saying is, “A picture is worth a thousand words.” In this post, we will take that literally and try to find the words in a picture! In an
Recently, OpenCV 4.0 was released with many improvements and new features. One of them is the QR code scanner. We had already written about Bar Code and QR code scanner
In this tutorial, we will discuss the various Face Detection methods in OpenCV, Dlib, and Deep Learning and compare the methods quantitatively. We will share code in C++ and Python
Hand Keypoint detection is the process of finding the joints on the fingers as well as the finger-tips in a given image. It is similar to finding keypoints
In our previous post, we used the OpenPose model to perform Human Pose Estimation for a single person. In this post, we will discuss how to perform multi person pose
We learn how to use the openpose model with OpenCV DNN Module
