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This Project uses some trained models from Tensorflow. It takes a video feed and detects how many person are there in the video. This project requires camera permission from user in order to run and detect faces.

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Pankaj-Phour/FaceDetection

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Angular

This project was generated with Angular CLI version 14.0.1.

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The application 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.

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 a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.

Further help

To get more help on the Angular CLI use ng help or go check out the Angular CLI Overview and Command Reference page.

About

This Project uses some trained models from Tensorflow. It takes a video feed and detects how many person are there in the video. This project requires camera permission from user in order to run and detect faces.

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