https://github.com/survivingwithandroid/esp32-cam-style-transfer

How to apply Machine Learning to ESP32-CAM. Tranform images using Neural Style Transfer
https://github.com/survivingwithandroid/esp32-cam-style-transfer

Last synced: about 1 year ago
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How to apply Machine Learning to ESP32-CAM. Tranform images using Neural Style Transfer

• Host: GitHub
• URL: https://github.com/survivingwithandroid/esp32-cam-style-transfer
• Owner: survivingwithandroid
• License: apache-2.0
• Created: 2020-07-05T15:01:20.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-07-05T15:05:08.000Z (almost 6 years ago)
• Last Synced: 2025-01-21T15:50:40.840Z (over 1 year ago)
• Language: C
• Size: 10.7 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# ESP32-CAM-Style-Transfer

How to apply Machine Learning to ESP32-CAM. Tranform images using Neural Style Transfer.

This repository contains the code to apply Style Transfer to images captured by the ESP32-CAM. It uses Magenta.js to apply Neural style transfer. Explore how to use Machine Learning to create artificial images.

Find more information at [Art with ESP32-CAM: Style Transfer - Magenta JS]()