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Video project

Features

  • MongoDB - document database
  • Express(.js) - Node.js web routing framework
  • Angular(.js) - a client-side JavaScript framework
  • Node(.js) - the premier JavaScript web server

Notes

  • Step 1) npm install -g @angular/cli
  • Step 2) ng new my-angular-project
  • Step 3) cd my-angular-project
  • Step 4) ng serve --open

RUN

npm start

console start

Goto http://localhost:4200/

Deploying to Azure

this projectis dpeloyed to Cloud ( Azure App) via the video-bacekend project To deploy run npm build and copy the generated dist file to angularSrc folder on video-backend project's main branch .

rm -rf ../video-backend/angularSrc/*
cp -r dist/videoproject/* ../video-backend/angularSrc

Any push to video-backend main branch triggers a cloud deployment to azure

User Interface

Editor editor UI

Player player UI

Archive

This project was generated with Angular CLI version 11.1.1.

  • 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.

  • ng 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.

Test

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.

AI

Computer vision

Azure computer Vision models and capabilities

  • Image classification
  • Object detection
  • Semantic segmentation
  • Image analysis
  • Face detection, analysis, and recognition
  • Optical character recognition (OCR)

Natural language processing (NLP)

  • Text Analytics
  • Translator Text
  • Speech
  • Language Understanding Intelligent Service (LUIS)

References