intel-oneAPI

Team Name - Sharingan

Problem Statement - Object Detection for Autonomous Vehicles using OpenVino OneDNN

Team Leader Email - js0699@srmist.edu.in

A Brief of the Prototype:

This section must include UML Daigrms and prototype description

Tech Stack:

Ultralytics OneAPI-OneDNN-OpenVINO

Step-by-Step Code Execution Instructions:

Link for presentiation

What I Learned:

Key learning points during this phase was learning to integrate OneAPI along with our Object detection ML model By using the OpenVINO toolkit which is a part of OneDNN, we use the OpenVINO inference engine to perfrom accelerated computing of model detection which is gives a result of 7ms than the conventional YOLOX inference of 70ms

Building application using intel oneDAL:The Intel oneAPI Data Analytics Library (oneDAL) contributes to the acceleration of big data analysis by providing highly optimised algorithmic building blocks for all phases of data analytics (preprocessing, transformation, analysis, modelling, validation, and decision making) in batch, online, and distributed processing modes of computation.The library optimizes data ingestion along with algorithmic computation to increase throughput and scalability.

Output

link for the output