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https://github.com/npatta01/mobile-deep-learning-classifier
Tutorial on building and deploying a Mobile Deep Learning Classifier for food
https://github.com/npatta01/mobile-deep-learning-classifier
cross-platform deep-learning expo fastai food-classification mobile mobile-app pytorch react-native
Last synced: about 2 months ago
JSON representation
Tutorial on building and deploying a Mobile Deep Learning Classifier for food
- Host: GitHub
- URL: https://github.com/npatta01/mobile-deep-learning-classifier
- Owner: npatta01
- License: mit
- Created: 2018-11-06T21:01:16.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T17:38:42.000Z (about 2 years ago)
- Last Synced: 2024-10-23T21:58:01.005Z (2 months ago)
- Topics: cross-platform, deep-learning, expo, fastai, food-classification, mobile, mobile-app, pytorch, react-native
- Language: TypeScript
- Homepage: https://food-img-classifier.herokuapp.com/
- Size: 14 MB
- Stars: 65
- Watchers: 4
- Forks: 28
- Open Issues: 19
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Creating a Mobile App
This repo contains a template for building a deep learning mobile classifier.## Citation Note
If you do use our blog or GitHub repos to create your own web or mobile app, we would appreciate it if you would give our work attribution by sharing the below citation:
>Pattaniyil, Nidhin and Shaikh, Reshama, [Deploying Deep Learning Models On Web And Mobile](https://reshamas.github.io/deploying-deep-learning-models-on-web-and-mobile/), 2019Here is a link to a demo of our mobile app on [YouTube](https://www.youtube.com/watch?v=7d2qFLeYvRc&t=1s)
![Demo](docs/images/demo.gif)
## Tools
The following were used for mobile model **deployment**:
1. Expo (React Native)
2. XCode (optional)
3. Web app deployed on heroku## Assumptions
- a deep learning model served as a web app that responds to
/api/classify
/api/classes## Setup
Detailed Walkthrough [Link](docs/2_expo_app.md)## Author
This project was completed jointly by [Nidhin Pattaniyil](https://www.linkedin.com/in/nidhinpattaniyil/) and [Reshama Shaikh](https://reshamas.github.io).Feel free to reach out with questions/suggestions.