https://github.com/christianconchari/computer_vision_edge_computing_through_openvino

This repository was created for the ITEC event at Universidad Católica Boliviana sede La Paz
https://github.com/christianconchari/computer_vision_edge_computing_through_openvino

Last synced: about 2 months ago
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This repository was created for the ITEC event at Universidad Católica Boliviana sede La Paz

• Host: GitHub
• URL: https://github.com/christianconchari/computer_vision_edge_computing_through_openvino
• Owner: ChristianConchari
• Created: 2023-09-25T03:55:01.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-09-29T02:51:54.000Z (over 1 year ago)
• Last Synced: 2023-09-30T00:02:13.445Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 51.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Computer Vision and Edge Computing through the Intel OpenVINO toolkit



Welcome to the workshop on Computer Vision and Edge Computing through the Intel OpenVINO toolkit. This workshop is part of the ITEC 2023 at the Universidad Católica Boliviana.

## Contents



In this workshop, we will delve into computer vision and artificial intelligence, more specifically, deep learning through the OpenVino Framework. The in-person version of this workshop also utilizes the Intel NCS2 inference accelerator.

1. [OpenVINO Toolkit Installation](01-first-steps-openvino-installation.md)

2. [Object Detection: OpenVINO Model Zoo](02-object-detection-openvino-model-zoo.md)

3. [Image Clasification: Custom Models and model optimizers](03-image-clasification-openvino-model-optimizer.md)