/Sound-Event-Detection---ML-in-Signal-Processing

Primary LanguageJupyter Notebook

Sound-Event-Detection---ML-in-Signal-Processing

CMS

This project was generated with Angular CLI version 9.0.3.

Prerequisites

To use Angular framework on your local machine, you need to install the following beforehand:

Node.js

Angular requires an active LTS or maintenance LTS version of Node.js.

  • Download Node.js for Windows by clicking the "Windows Installer" option.
  • Run the downloaded Node.js .msi Installer - including accepting the license, selecting the destination, and authenticating for the install. This requires Administrator privileges, and you may need to authenticate.
  • To ensure Node.js has been installed, run node -v in your terminal and confirm the version installed.

npm Package Manager

  • Update your version of npm with npm install npm --global. This requires Administrator privileges, and you may need to authenticate.

Angular CLI

  • Run git clone in the terminal of your editor to clone this repository.
  • Go to the cd bine-crm directory.
  • git checkout sprint-5 and execute cd blendnet.cms.web.ui to work in the CMS directory.
  • Install angular CLI for this project in this directory by running the command npm install -g @angular/cli.

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.