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Sample angular application to predict image labels in the browser using ML5 API and Tensorflow.js

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rohita77/ml-image-classifier

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MlImageClassifier

This project was generated with Angular CLI version 7.1.1.

Live Example

https://rohita77.github.io/ml-image-classifier/

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.

Running end-to-end tests

Run ng e2e to execute the end-to-end tests via Protractor.

Further help

To get more help on the Angular CLI use ng help or go check out the Angular CLI README.

Deploy to Github Pages

ng build --prod --output-path docs --base-href "https://.github.io//" copy index.html as 404.html Push files to Github

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Sample angular application to predict image labels in the browser using ML5 API and Tensorflow.js

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