Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. It is the most popular metric that is used by benchmark challenges such as PASCAL VOC, COCO, ImageNET ...
YOLOv7 Object Detection Paper Explanation and Inference
YOLOv7 is the new state-of-the-art object detector in the YOLO family. According to the paper, it is the fastest and most accurate real-time object detector to date. According to the YOLOv7 paper, the ...
Human Action Recognition using Detectron2 and LSTM
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 ...
