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SenseCraft AI Client

This is SenseCraft AI Client . It works in conjunction with SenseCraft-AI_Server ↗. It provides the necessary API endpoints and handles the business logic for the frontend application.

Getting Started

Environment & Dependencies

Install Dependencies

pnpm install

Development Mode

pnpm run dev

Open your browser and visit: http://localhost:1430

Building the App

pnpm run build

By default, the build output will be placed at dist. You may deploy this dist folder to any of your preferred platforms.

Preview App Locally

Once you've built the app, you may preview it locally by running npm run preview command.

$ pnpm run build
$ pnpm run preview

The pnpm run preview command will boot up a local static web server that serves the files from dist at http://localhost:4173. It's an easy way to check if the production build looks OK in your local environment.

The project follows a standard structure to organize its files and folders:

├── index.html
├── frame.html
├── src
│   ├── App.vue
│   ├── api
│   ├── assets
│   ├── components
│   ├── i18n
│   ├── layout
│   ├── main.ts
│   ├── router
│   ├── store
│   ├── types
│   ├── utils
│   ├── view
│   └── vite-env.d.ts
├── public
│   ├── icon_aimodel.svg
│   └── vite.svg
├── README.md
├── auto-imports.d.ts
├── components.d.ts
├── tailwind.config.js
├── tsconfig.json
├── tsconfig.node.json
├── package.json
├── pnpm-lock.yaml
├── postcss.config.js
└── vite.config.ts

The public directory contains the static assets and the main index.html file. The src directory is where the application's source code resides. It includes folders for assets, reusable components, views, store (Pinia store modules), and the main application entry point (App.vue and main.js).

Demo Screenshots

Here are some screenshots showcasing the project's user interface:

  • Main page

    Alt text

  • Full screen

    Alt text

  • Streams list

    Alt text

  • Stream Config

    Alt text

    Argument Notes
    Model Model's Name, use which model for this stream.
    Video Type Video Input Type [ VideoFile, IP-CAM, USB-CAM ].
    Video Path Video Path, format decided by "Video Type", if wrong, default video will be used.
    FPS Frame per second.
    Quality output stream quality.
    Max Det maximum number of detections per image.
    Conf object confidence threshold for detection.
    Track Track=True, use Tracking .
    Experimental and lower performance
    Half use half precision (FP16). improve performance and lower precision

  • Settings

    Alt text

  • About

    Alt text

License

This project is licensed under the MIT License.