Training of SSD(Single Shot Detector) for Facial Detection using Nvidia Jetson Nano

Autor:	Rehman, Saif Ur, Razzaq, Muhammad Rashid, Hussian, Muhammad Hadi
Rok vydání:	2021
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Artificial Intelligence Computer Science - Distributed Parallel and Cluster Computing Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	In this project, we have used the computer vision algorithm SSD (Single Shot detector) computer vision algorithm and trained this algorithm from the dataset which consists of 139 Pictures. Images were labeled using Intel CVAT (Computer Vision Annotation Tool) We trained this model for facial detection. We have deployed our trained model and software in the Nvidia Jetson Nano Developer kit. Model code is written in Pytorch's deep learning framework. The programming language used is Python. Comment: 7 Pages, 7 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2105.13906 Zobrazit plný text záznamu View this record from Arxiv