This exciting post comes to you from Bibin Sebastian, who took our Deep Learning with Pytorch course by OpenCV, and then applied all the learning to create a Human Action Recognition ...
Human Pose Estimation using Keypoint RCNN in PyTorch
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 post, we will discuss ...
Faster R-CNN Object Detection with PyTorch
1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input image. For example, given an input image of a cat, the output of an image ...
Pose Detection comparison : wrnchAI vs OpenPose
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 ...
Using OpenVINO with OpenCV
In this post, we will learn how to squeeze the maximum performance out of OpenCV's Deep Neural Network (DNN) module using Intel's OpenVINO toolkitpost, we compared the performance of OpenCV and other ...
CPU Performance Comparison of OpenCV and other Deep Learning frameworks
In this post, we will compare the performance of various Deep Learning inference frameworks on a few computer vision tasks on the CPU. Surprisingly, with one exception, the OpenCV port of various ...
