openhackathons-org/end-to-end-computer-vision

This repository is an AI bootcamp material that consist of a workflow for computer vision

End-to-End Computer Vision Bootcamp

The End-to-End Computer Vision Bootcamp is designed from a real-world perspective and follows the data processing, development, and deployment pipeline paradigm using a variety of tools. Through hands-on exercises, attendees will learn the fundamentals of preprocessing custom images, speeding the development process using transfer learning for model training, and deployment of trained models for fast and scalable AI in production.

Bootcamp Content

The content is structured in five modules with an additional introductory notebook and two challenge notebooks:

• Welcome to end-to-end computer vision bootcamp
• Lab 1: Data labeling and preprocessing
• Lab 2: Object detection using TAO YOLOv4
• Lab 3: Model deployment with Triton Inference Server
• Lab 4: Model deployment with DeepStream
• Lab 5: Measure object size using OpenCV
• Challenge 1: DeepStream SDK
• Challenge 2: Triton Inference Server

Tools and Frameworks

The tools and frameworks used in the bootcamp are as follows:

• NVIDIA® TAO Toolkit
• NVIDIA DeepStream SDK
• NVIDIA Triton™ Inference Server
• NVIDIA TensorRT™
• OpenCV
• Label Studio

Bootcamp Duration

The total bootcamp material would take approximately 8.5 hours. It is recommended to divide the teaching of the material into two days, covering the first two notebooks (Lab 1 and Lab 2) in one session and the rest in the next session.

Bootcamp Prerequisites

A basic understanding of Deep Learning, Python programming, and familiarity with NVIDIA® NGC™ is required.

Deploying the Bootcamp materials:

To deploy the Labs, please refer to the Deployment guide presented here

Attribution

This material originates from the OpenHackathons Github repository. Check out additional materials here

Don't forget to check out additional Open Hackathons Resources and join our OpenACC and Hackathons Slack Channel to share your experience and get more help from the community.

Licensing

Copyright © 2023 OpenACC-Standard.org. This material is released by OpenACC-Standard.org, in collaboration with NVIDIA Corporation, under the Creative Commons Attribution 4.0 International (CC BY 4.0). These materials may include references to hardware and software developed by other entities; all applicable licensing and copyrights apply.