What is YOLOX? YOLOX is a single-stage real-time object detector. It was introduced in the paper YOLOX: Exceeding YOLO Series in 2021. The baseline model of YOLOX is YOLOv3 SPP with Darknet53 ...
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Fine Tuning YOLOv7 on Custom Dataset
Since its inception, the YOLO family of object detection models has come a long way. YOLOv7 is the most recent addition to this famous anchor-based single-shot family of object detectors. It comes ...
Center Stage for Zoom Calls Using MediaPipe
Today we are going to walk you through the implementation of Center Stage as seen in Apple iPads, iMacs, and MacBooks. We will be using the following: ✅ MediaPipe to track the person ✅ OpenCV for ...
YOLOv4 and Darknet For Pothole Detection
In this blog post, we will be training YOLOv4 object detection model on a pothole detection dataset using the Darknet framework. Before we move further, let’s have an overview of the models that ...
Demystifying GPU Architectures For Deep Learning: Part 2
IntroductionAI specific features in recent NVIDIA GPUs2.1 Pascal microarchitecture (2016)2.2 Volta microarchitecture (2018)2.3 Turing microarchitecture (Late 2018)2.4 Ampere microarchitecture ...
Demystifying GPU Architectures For Deep Learning – Part 1
IntroductionCUDA programming model2.1 What is CUDA?2.2 Introduction to some important CUDA conceptsImplementing a dense layer in CUDASummary 1. Introduction A few months ago, we covered the ...