https://github.com/dermatologist/skinmesh
skinmesh: Machine learning for facial analysis
https://github.com/dermatologist/skinmesh
cosmetics dermatology facial-landmarks react tensorflow
Last synced: 7 months ago
JSON representation
skinmesh: Machine learning for facial analysis
- Host: GitHub
- URL: https://github.com/dermatologist/skinmesh
- Owner: dermatologist
- Created: 2020-10-30T22:46:20.000Z (almost 5 years ago)
- Default Branch: develop
- Last Pushed: 2023-03-18T15:37:13.000Z (over 2 years ago)
- Last Synced: 2025-03-17T17:56:24.156Z (7 months ago)
- Topics: cosmetics, dermatology, facial-landmarks, react, tensorflow
- Language: JavaScript
- Homepage: https://skinhelpdesk.com
- Size: 1.65 MB
- Stars: 12
- Watchers: 2
- Forks: 2
- Open Issues: 8
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Metadata Files:
- Readme: README.md
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README
# skinmesh: Machine learning for facial analysis
## About
skinmesh is a simple React component that uses the facemesh model from [Tensorflowjs](https://www.tensorflow.org/js). The goal is to capture the facial landmarks for analyzing the facial symmetry for cosmetic treatments such as botulinum toxin injections and dermal fillers. Checkout [skinhelpdesk.com](https://skinhelpdesk.com) for backend analysis APIs.
## Use
* Checkout this repo
* npm install && npm build in the parent directory
* npm install && npm start in the example directory
* See console for the output
* The model may take some time to load. The output for any images captured during this period will be null.
* I will add more customizations if there is interest.
## Credits
* Thanks [Andrew](https://blog.logrocket.com/responsive-camera-component-react-hooks/) for the nice blog post!
* [Contact Me](https://nuchange.ca)
## Related
* [LesionMapper is a tool and a method for standardized mapping of skin lesions](https://github.com/dermatologist/lesion-mapper)
* [API for skin tone assessment](https://rapidapi.com/eapenbp/api/skinhelpdesk)