https://github.com/shijbey/cat-art.ai
Estimate the awesomeness of cat art images using deep-learning and crowd-sourced ratings
https://github.com/shijbey/cat-art.ai
Last synced: 2 months ago
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Estimate the awesomeness of cat art images using deep-learning and crowd-sourced ratings
- Host: GitHub
- URL: https://github.com/shijbey/cat-art.ai
- Owner: ShiJbey
- Created: 2021-03-01T20:42:16.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-06-21T16:48:11.000Z (almost 4 years ago)
- Last Synced: 2025-02-02T18:44:58.417Z (4 months ago)
- Language: TypeScript
- Size: 16.5 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Cat Art AI
Team members:
- Samantha Conde
- Sabrina Fielder
- Shi Johnson-Bey
Rate the *awesomeness* artistic interpretations of cats and have your own art rated.
We build a trained a convolutional neural network to predict the *awesomeness* of cat art. We do this by crowd sourcing binary ratings of cat art.
View the online [demo](https://cat-art-duel.web.app). Feel free to rate photos and try your own!
# Training the model
We used a [Google Colab Notebook](https://colab.research.google.com/drive/1GBwxqWsHv6UZadnJ3Rr3avp79-g90GAL?usp=sharing) to train a Tensorflow model. The model is trained in python and converted for Javascript use.
# Build the code
This project was generated with [Angular CLI](https://github.com/angular/angular-cli) version 11.2.2.
## Development server
Run `ng serve` for a dev server. Navigate to `http://localhost:4200/`. The app will automatically reload if you change any of the source files.
## Code scaffolding
Run `ng generate component component-name` to generate a new component. You can also use `ng generate directive|pipe|service|class|guard|interface|enum|module`.
## Build
Run `ng build` to build the project. The build artifacts will be stored in the `dist/` directory. Use the `--prod` flag for a production build.
## Running unit tests
Run `ng test` to execute the unit tests via [Karma](https://karma-runner.github.io).
## Running end-to-end tests
Run `ng e2e` to execute the end-to-end tests via [Protractor](http://www.protractortest.org/).
## Further help
To get more help on the Angular CLI use `ng help` or go check out the [Angular CLI Overview and Command Reference](https://angular.io/cli) page.