Pose Detection comparison : wrnchAI vs OpenPose | LearnOpenCV
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 try the state-of-the-art pose-estimation system ( wrnchAI ) built by wrnch and compare it’s performance with OpenPose. We evaluated the Human Body Pose Estimation systems and report our findings by comparing wrnchAI vis-a-vis
Deep Learning based Human Pose Estimation using OpenCV
In this tutorial, Deep Learning based Human Pose Estimation using OpenCV. We will explain in detail how to use a pre-trained Caffe model that won the COCO keypoints challenge in 2016 in your own application. We will briefly go over the architecture to get an idea of what is going on under the hood. 1. Pose Estimation (a.k.a Keypoint Detection) Pose Estimation is a general problem in Computer Visio
Color spaces in OpenCV (C++/Python) | LearnOpenCV
In this tutorial, we will learn about popular colorspaces used in Computer Vision and use it for color based segmentation. We will also share demo code in C++ and Python. In 1975, the Hungarian Patent HU170062 introduced a puzzle with just one right solution out of 43,252,003,274,489,856,000 (43 quintillion) possibilities. This invention now known as the Rubik’s Cube took the world by storm sellin
Hand Keypoint Detection using Deep Learning and OpenCV | LearnOpenCV
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 on Face ( a.k.a Facial Landmark Detection ) or Body ( a.k.a Human Body Pose Estimation ), but, different from Hand Detection since in that case, we treat the whole hand as one object. In our previous posts on Pose estimation – Single Person, Mu
YOLOv3 - Deep Learning Based Object Detection
In this post, we will understand what is Yolov3 and learn how to use YOLOv3 — a state-of-the-art object detector — with OpenCV. YOLOv3 is the latest variant of a popular object detection algorithm YOLO – You Only Look Once. The published model recognizes 80 different objects in images and videos, but most importantly, it is super fast and nearly as accurate as Single Shot MultiBox (SSD). Starting
applyColorMap for pseudocoloring in OpenCV ( C++ / Python ) | LearnOpenCV #
Home > Uncategorized > applyColorMap for pseudocoloring in OpenCV ( C++ / Python ) In this tutorial we will first show a simple way to pseudocolor / false color a grayscale image using OpenCV’s predefined colormaps. We will also show a way to define a custom colormap if you would rather use your own. As always I am sharing C++ and Python code that you can download here. This post is dedicated to N
OpenCV Transparent API | LearnOpenCV #
A master wordsmith can tell a heart breaking story in just a few words. For sale: baby shoes, never worn. A great artist can do so much with so little! The same holds true for great programmers and engineers. They always seem to eek out that extra ounce of performance from their machines. This is what often differentiates a great product from a mediocre one and an exceptional programmer from a run
Computer Vision for predicting attractiveness | LearnOpenCV
Most of us have looked in the mirror and wondered how good we look. But, it is often difficult to be objective while judging our own attractiveness, and we are often too embarrassed to ask for others’ opinion. What if there was a computer program that could answer this question for you, without a human to look at your image? Pretty nifty, huh? In this post, I will show you how we can use computer
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YOLOv7 Pose vs MediaPipe in Human Pose Estimation
Object Detection using YOLOv5 OpenCV DNN in C++ and Python
t-SNE for Feature Visualization
Selective Search for Object Detection (C++ / Python)
How Computer Vision Solved the Greatest Soccer Mystery of All Time | LearnOpenCV #