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Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. We have covered mAP evaluation in detail to clear all your confusions regarding model evaluation metrics.
A technical review of YOLOv7 paper along with inference report. YOLOv7 Pose detection code included.
Do you want to understand modern GPU features like tensor cores, structured sparsity and transformer engines? If yes, this post is for you. We analyze 5 generations of NVIDIA GPUs
Introduction CUDA programming model2.1 What is CUDA?2.2 Introduction to some important CUDA concepts Implementing a dense layer in CUDA Summary 1. Introduction A few months ago, we covered the launch
Optical Character Recognition is the process of recognizing text from an image by understanding and analyzing its underlying patterns. We will implement and compare various OCR algorithms provided by PaddleOCR
In this post, we will use MediaPipe to track hand gestures and convert them to appropriate actions like zooming in, blurring the background, and switching the camera on or off.
In the previous posts of the TFLite series, we introduced TFLite and the process of creating a model. In this post, we will take a deeper dive into the TensorFlow
This is the third blog post in the Oak series. If you haven’t checked out the previous posts on OAK, check them below. In this post, we are going to
This blog post covers object detection training of the YOLOv5 model on a custom dataset using the small and medium YOLOv5 models.
A tutorial for using Mediapipe’s Face-Mesh to create Augmented Reality Facial Filters. We are sharing the code in Python.
Introduction Today is the final day of our coverage of the NVIDIA GTC conference. The first day of GTC was all about professional training, the second day was about Big
Introduction Welcome to Day 3 of our coverage of the NVIDIA GTC conference. Yesterday, NVIDIA announced the next generation H100 data center GPU. The keynote did not go into much
