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42 lines
2.3 KiB
Markdown
42 lines
2.3 KiB
Markdown
English | [简体中文](README_CN.md)
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# Introduction to Paddle.js Demo Module
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This part is a model library developed based on Paddle.js, which mainly provides the ability to directly introduce and use models on the web side.
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| demo name | source directory | npm package |
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| face detection | [facedetect](./packages/paddlejs-models/facedetect) | [@paddle-js-models/facedetect](https://www.npmjs.com/package/@paddle-js-models/facedetect) |
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| Screw detection | [detect](./packages/paddlejs-models/detect) | [@paddle-js-models/detect](https://www.npmjs.com/package/@paddle-js-models/detect ) |
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| Portrait segmentation background replacement | [humanseg](./packages/paddlejs-models/humanseg) | [@paddle-js-models/humanseg](https://www.npmjs.com/package/@paddle-js-models/humanseg) |
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| Gesture Recognition AI Guessing Shell | [gesture](./packages/paddlejs-models/gesture) | [@paddle-js-models/gesture](https://www.npmjs.com/package/@paddle-js-models/gesture) |
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| 1000 Item Recognition | [mobilenet](./packages/paddlejs-models/mobilenet) | [@paddle-js-models/mobilenet](https://www.npmjs.com/package/@paddle-js-models/mobilenet) |
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| Text Detection | [ocrdetection](./packages/paddlejs-models/ocrdetection) | [@paddle-js-models/ocrdet](https://www.npmjs.com/package/@paddle-js-models/ocrdet ) |
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| Text Recognition | [ocr](./packages/paddlejs-models/ocr) | [@paddle-js-models/ocr](https://www.npmjs.com/package/@paddle-js-models/ocr) |
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## Usage
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This part is Menorepo built with `pnpm`
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### Install dependencies
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````sh
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pnpm i
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````
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### Development
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See Package.json for development testing with `yalc`.
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````sh
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pnpm run dev:xxx
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````
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### Overall Introduction
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1. Use rollup to package the code of commonjs and es specifications at one time; at the same time, it is extensible; at present, there are some problems with the dependent cv library; there is no configuration for umd packaging.
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2. The d.ts file is generated based on api-extractor during packaging, and the introduction of ts is supported to generate our package
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3. Support testing based on jest and display test related coverage, etc.
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4. Maintain code style based on ts and eslint to ensure better code development
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5. Generate custom keywords based on conventional-changelog-cli and generate changelog accordingly
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6. Implement local packaging development and testing based on yalc
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