[Other] Refactor js submodule (#415)

* Refactor js submodule

* Remove change-log

* Update ocr module

* Update ocr-detection module

* Update ocr-detection module

* Remove change-log
This commit is contained in:
chenqianhe
2022-10-23 14:05:13 +08:00
committed by GitHub
parent 30971cf3fd
commit f2619b0546
273 changed files with 14697 additions and 5088 deletions

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/* color palette from <https://github.com/vuejs/theme> */
:root {
--vt-c-white: #ffffff;
--vt-c-white-soft: #f8f8f8;
--vt-c-white-mute: #f2f2f2;
--vt-c-black: #181818;
--vt-c-black-soft: #222222;
--vt-c-black-mute: #282828;
--vt-c-indigo: #2c3e50;
--vt-c-divider-light-1: rgba(60, 60, 60, 0.29);
--vt-c-divider-light-2: rgba(60, 60, 60, 0.12);
--vt-c-divider-dark-1: rgba(84, 84, 84, 0.65);
--vt-c-divider-dark-2: rgba(84, 84, 84, 0.48);
--vt-c-text-light-1: var(--vt-c-indigo);
--vt-c-text-light-2: rgba(60, 60, 60, 0.66);
--vt-c-text-dark-1: var(--vt-c-white);
--vt-c-text-dark-2: rgba(235, 235, 235, 0.64);
}
/* semantic color variables for this project */
:root {
--color-background: var(--vt-c-white);
--color-background-soft: var(--vt-c-white-soft);
--color-background-mute: var(--vt-c-white-mute);
--color-border: var(--vt-c-divider-light-2);
--color-border-hover: var(--vt-c-divider-light-1);
--color-heading: var(--vt-c-text-light-1);
--color-text: var(--vt-c-text-light-1);
--section-gap: 160px;
}
@media (prefers-color-scheme: dark) {
:root {
--color-background: var(--vt-c-black);
--color-background-soft: var(--vt-c-black-soft);
--color-background-mute: var(--vt-c-black-mute);
--color-border: var(--vt-c-divider-dark-2);
--color-border-hover: var(--vt-c-divider-dark-1);
--color-heading: var(--vt-c-text-dark-1);
--color-text: var(--vt-c-text-dark-2);
}
}
*,
*::before,
*::after {
box-sizing: border-box;
margin: 0;
position: relative;
font-weight: normal;
}
body {
min-height: 100vh;
color: var(--color-text);
background: var(--color-background);
transition: color 0.5s, background-color 0.5s;
line-height: 1.6;
font-family: Inter, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu,
Cantarell, 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif;
font-size: 15px;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}

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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 261.76 226.69" xmlns:v="https://vecta.io/nano"><path d="M161.096.001l-30.225 52.351L100.647.001H-.005l130.877 226.688L261.749.001z" fill="#41b883"/><path d="M161.096.001l-30.225 52.351L100.647.001H52.346l78.526 136.01L209.398.001z" fill="#34495e"/></svg>

After

Width:  |  Height:  |  Size: 308 B

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@import "./base.css";
#app {
height: 100vh;
width: 100%;
margin: 0 auto;
padding: 2rem;
}

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<script setup lang="ts">
defineProps<{
msg: string;
}>();
</script>
<template>
<div class="greetings">
<h1 class="green">{{ msg }}</h1>
<h3>
Youve successfully created a project with
<a href="https://vitejs.dev/" target="_blank" rel="noopener">Vite</a> +
<a href="https://vuejs.org/" target="_blank" rel="noopener">Vue 3</a>.
What's next?
</h3>
</div>
</template>
<style scoped>
h1 {
font-weight: 500;
font-size: 2.6rem;
top: -10px;
}
h3 {
font-size: 1.2rem;
}
.greetings h1,
.greetings h3 {
text-align: center;
}
@media (min-width: 1024px) {
.greetings h1,
.greetings h3 {
text-align: left;
}
}
</style>

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<script setup lang="ts">
import WelcomeItem from "./WelcomeItem.vue";
import DocumentationIcon from "./icons/IconDocumentation.vue";
import ToolingIcon from "./icons/IconTooling.vue";
import EcosystemIcon from "./icons/IconEcosystem.vue";
import CommunityIcon from "./icons/IconCommunity.vue";
import SupportIcon from "./icons/IconSupport.vue";
</script>
<template>
<WelcomeItem>
<template #icon>
<DocumentationIcon />
</template>
<template #heading>Documentation</template>
Vues
<a href="https://vuejs.org/" target="_blank" rel="noopener"
>official documentation</a
>
provides you with all information you need to get started.
</WelcomeItem>
<WelcomeItem>
<template #icon>
<ToolingIcon />
</template>
<template #heading>Tooling</template>
This project is served and bundled with
<a
href="https://vitejs.dev/guide/features.html"
target="_blank"
rel="noopener"
>Vite</a
>. The recommended IDE setup is
<a href="https://code.visualstudio.com/" target="_blank" rel="noopener"
>VSCode</a
>
+
<a
href="https://github.com/johnsoncodehk/volar"
target="_blank"
rel="noopener"
>Volar</a
>. If you need to test your components and web pages, check out
<a href="https://www.cypress.io/" target="_blank" rel="noopener">Cypress</a>
and
<a href="https://on.cypress.io/component" target="_blank"
>Cypress Component Testing</a
>.
<br />
More instructions are available in <code>README.md</code>.
</WelcomeItem>
<WelcomeItem>
<template #icon>
<EcosystemIcon />
</template>
<template #heading>Ecosystem</template>
Get official tools and libraries for your project:
<a href="https://pinia.vuejs.org/" target="_blank" rel="noopener">Pinia</a>,
<a href="https://router.vuejs.org/" target="_blank" rel="noopener"
>Vue Router</a
>,
<a href="https://test-utils.vuejs.org/" target="_blank" rel="noopener"
>Vue Test Utils</a
>, and
<a href="https://github.com/vuejs/devtools" target="_blank" rel="noopener"
>Vue Dev Tools</a
>. If you need more resources, we suggest paying
<a
href="https://github.com/vuejs/awesome-vue"
target="_blank"
rel="noopener"
>Awesome Vue</a
>
a visit.
</WelcomeItem>
<WelcomeItem>
<template #icon>
<CommunityIcon />
</template>
<template #heading>Community</template>
Got stuck? Ask your question on
<a href="https://chat.vuejs.org" target="_blank" rel="noopener">Vue Land</a
>, our official Discord server, or
<a
href="https://stackoverflow.com/questions/tagged/vue.js"
target="_blank"
rel="noopener"
>StackOverflow</a
>. You should also subscribe to
<a href="https://news.vuejs.org" target="_blank" rel="noopener"
>our mailing list</a
>
and follow the official
<a href="https://twitter.com/vuejs" target="_blank" rel="noopener"
>@vuejs</a
>
twitter account for latest news in the Vue world.
</WelcomeItem>
<WelcomeItem>
<template #icon>
<SupportIcon />
</template>
<template #heading>Support Vue</template>
As an independent project, Vue relies on community backing for its
sustainability. You can help us by
<a href="https://vuejs.org/sponsor/" target="_blank" rel="noopener"
>becoming a sponsor</a
>.
</WelcomeItem>
</template>

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<template>
<div class="item">
<i>
<slot name="icon"></slot>
</i>
<div class="details">
<h3>
<slot name="heading"></slot>
</h3>
<slot></slot>
</div>
</div>
</template>
<style scoped>
.item {
margin-top: 2rem;
display: flex;
}
.details {
flex: 1;
margin-left: 1rem;
}
i {
display: flex;
place-items: center;
place-content: center;
width: 32px;
height: 32px;
color: var(--color-text);
}
h3 {
font-size: 1.2rem;
font-weight: 500;
margin-bottom: 0.4rem;
color: var(--color-heading);
}
@media (min-width: 1024px) {
.item {
margin-top: 0;
padding: 0.4rem 0 1rem calc(var(--section-gap) / 2);
}
i {
top: calc(50% - 25px);
left: -26px;
position: absolute;
border: 1px solid var(--color-border);
background: var(--color-background);
border-radius: 8px;
width: 50px;
height: 50px;
}
.item:before {
content: " ";
border-left: 1px solid var(--color-border);
position: absolute;
left: 0;
bottom: calc(50% + 25px);
height: calc(50% - 25px);
}
.item:after {
content: " ";
border-left: 1px solid var(--color-border);
position: absolute;
left: 0;
top: calc(50% + 25px);
height: calc(50% - 25px);
}
.item:first-of-type:before {
display: none;
}
.item:last-of-type:after {
display: none;
}
}
</style>

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<template>
<svg
xmlns="http://www.w3.org/2000/svg"
width="20"
height="20"
fill="currentColor"
>
<path
d="M15 4a1 1 0 1 0 0 2V4zm0 11v-1a1 1 0 0 0-1 1h1zm0 4l-.707.707A1 1 0 0 0 16 19h-1zm-4-4l.707-.707A1 1 0 0 0 11 14v1zm-4.707-1.293a1 1 0 0 0-1.414 1.414l1.414-1.414zm-.707.707l-.707-.707.707.707zM9 11v-1a1 1 0 0 0-.707.293L9 11zm-4 0h1a1 1 0 0 0-1-1v1zm0 4H4a1 1 0 0 0 1.707.707L5 15zm10-9h2V4h-2v2zm2 0a1 1 0 0 1 1 1h2a3 3 0 0 0-3-3v2zm1 1v6h2V7h-2zm0 6a1 1 0 0 1-1 1v2a3 3 0 0 0 3-3h-2zm-1 1h-2v2h2v-2zm-3 1v4h2v-4h-2zm1.707 3.293l-4-4-1.414 1.414 4 4 1.414-1.414zM11 14H7v2h4v-2zm-4 0c-.276 0-.525-.111-.707-.293l-1.414 1.414C5.42 15.663 6.172 16 7 16v-2zm-.707 1.121l3.414-3.414-1.414-1.414-3.414 3.414 1.414 1.414zM9 12h4v-2H9v2zm4 0a3 3 0 0 0 3-3h-2a1 1 0 0 1-1 1v2zm3-3V3h-2v6h2zm0-6a3 3 0 0 0-3-3v2a1 1 0 0 1 1 1h2zm-3-3H3v2h10V0zM3 0a3 3 0 0 0-3 3h2a1 1 0 0 1 1-1V0zM0 3v6h2V3H0zm0 6a3 3 0 0 0 3 3v-2a1 1 0 0 1-1-1H0zm3 3h2v-2H3v2zm1-1v4h2v-4H4zm1.707 4.707l.586-.586-1.414-1.414-.586.586 1.414 1.414z"
/>
</svg>
</template>

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<template>
<svg
xmlns="http://www.w3.org/2000/svg"
width="20"
height="17"
fill="currentColor"
>
<path
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/>
</svg>
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<template>
<svg
xmlns="http://www.w3.org/2000/svg"
width="18"
height="20"
fill="currentColor"
>
<path
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/>
</svg>
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<template>
<svg
xmlns="http://www.w3.org/2000/svg"
width="20"
height="20"
fill="currentColor"
>
<path
d="M10 3.22l-.61-.6a5.5 5.5 0 0 0-7.666.105 5.5 5.5 0 0 0-.114 7.665L10 18.78l8.39-8.4a5.5 5.5 0 0 0-.114-7.665 5.5 5.5 0 0 0-7.666-.105l-.61.61z"
/>
</svg>
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<!-- This icon is from <https://github.com/Templarian/MaterialDesign>, distributed under Apache 2.0 (https://www.apache.org/licenses/LICENSE-2.0) license-->
<template>
<svg
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
aria-hidden="true"
role="img"
class="iconify iconify--mdi"
width="24"
height="24"
preserveAspectRatio="xMidYMid meet"
viewBox="0 0 24 24"
>
<path
d="M20 18v-4h-3v1h-2v-1H9v1H7v-1H4v4h16M6.33 8l-1.74 4H7v-1h2v1h6v-1h2v1h2.41l-1.74-4H6.33M9 5v1h6V5H9m12.84 7.61c.1.22.16.48.16.8V18c0 .53-.21 1-.6 1.41c-.4.4-.85.59-1.4.59H4c-.55 0-1-.19-1.4-.59C2.21 19 2 18.53 2 18v-4.59c0-.32.06-.58.16-.8L4.5 7.22C4.84 6.41 5.45 6 6.33 6H7V5c0-.55.18-1 .57-1.41C7.96 3.2 8.44 3 9 3h6c.56 0 1.04.2 1.43.59c.39.41.57.86.57 1.41v1h.67c.88 0 1.49.41 1.83 1.22l2.34 5.39z"
fill="currentColor"
></path>
</svg>
</template>

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<template>
<div></div>
</template>
<script setup lang="ts"></script>
<style scoped lang="less"></style>

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// Generated by 'unplugin-auto-import'
export {}
declare global {
}

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// generated by unplugin-vue-components
// We suggest you to commit this file into source control
// Read more: https://github.com/vuejs/core/pull/3399
import '@vue/runtime-core'
export {}
declare module '@vue/runtime-core' {
export interface GlobalComponents {
ElAside: typeof import('element-plus/es')['ElAside']
ElButton: typeof import('element-plus/es')['ElButton']
ElCard: typeof import('element-plus/es')['ElCard']
ElCol: typeof import('element-plus/es')['ElCol']
ElContainer: typeof import('element-plus/es')['ElContainer']
ElDialog: typeof import('element-plus/es')['ElDialog']
ElFooter: typeof import('element-plus/es')['ElFooter']
ElHeader: typeof import('element-plus/es')['ElHeader']
ElInput: typeof import('element-plus/es')['ElInput']
ElMain: typeof import('element-plus/es')['ElMain']
ElMenu: typeof import('element-plus/es')['ElMenu']
ElMenuItem: typeof import('element-plus/es')['ElMenuItem']
ElRow: typeof import('element-plus/es')['ElRow']
ElSubMenu: typeof import('element-plus/es')['ElSubMenu']
RouterLink: typeof import('vue-router')['RouterLink']
RouterView: typeof import('vue-router')['RouterView']
}
}

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<script setup lang="ts">
import FaceDetection from "@/pages/cv/detection/FaceDetection/FaceDetection.vue";
</script>
<template>
<el-container>
<el-header>Header</el-header>
<el-main>
<FaceDetection></FaceDetection>
</el-main>
<el-footer>Footer</el-footer>
</el-container>
</template>
<style scoped lang="less">
.el-container {
height: 100%;
width: 100%;
}
</style>

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<template>
<el-dialog
v-model="isLoadingModel"
title="提示"
width="30%"
center
:lock-scroll="true"
:show-close="false"
:close-on-click-modal="false"
:close-on-press-escape="false"
>
<span>正在加载模型请稍等</span>
</el-dialog>
<el-row :gutter="20">
<el-col :span="12">
<el-row class="small-title">
<h2>上传人脸图片</h2>
</el-row>
<el-row>
<el-input type="file" v-model="fileName" @change="uploadImg"></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="show-img" class="show-area" />
<!-- 用于存放真实图片进行文字识别 -->
<img id="raw-img" style="display: none" />
</el-row>
</el-col>
<el-col :span="12">
<el-row class="small-title">
<h2>人脸区域检测</h2>
</el-row>
<el-row>
<el-button type="primary" @click="predict">开始检测</el-button>
</el-row>
<el-row>
<canvas id="canvas" class="show-area"></canvas>
</el-row>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import { FaceDetector } from "@paddle-js-models/facedetect";
import { onMounted, ref } from "vue";
interface TransformData {
left: number;
width: number;
top: number;
height: number;
confidence: number;
}
const faceDet = new FaceDetector();
const fileName = ref(null);
const canvas = ref(null as unknown as HTMLCanvasElement);
const isLoadingModel = ref(true);
onMounted(async () => {
canvas.value = document.getElementById("canvas") as HTMLCanvasElement;
await faceDet.init();
isLoadingModel.value = false;
});
const uploadImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById("show-img") as HTMLImageElement;
// 用于识别
const rawImg = document.getElementById("raw-img") as HTMLImageElement;
const inputElement = document
.getElementsByClassName("el-input")[0]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
rawImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const predict = async () => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const res = await faceDet.detect(img);
console.log(res);
drawBox(res);
};
const drawBox = (data: TransformData[]) => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const imgHeight = img.height;
const imgWidth = img.width;
canvas.value.width = imgWidth;
canvas.value.height = imgHeight;
const ctx = canvas.value.getContext("2d") as CanvasRenderingContext2D;
ctx.drawImage(img, 0, 0, canvas.value.width, canvas.value.height);
data.forEach((item: TransformData) => {
// 开始一个新的绘制路径
ctx.beginPath();
// 设置线条颜色为蓝色
ctx.strokeStyle = "red";
// 获取检测框选坐标
const x = item.left * imgWidth;
const y = item.top * imgHeight;
const w = item.width * imgWidth;
const h = item.height * imgHeight;
ctx.beginPath();
// 绘制检测框选矩形
ctx.rect(x, y, w, h);
// 绘制label
ctx.fillText(item.confidence.toFixed(6), x, y);
ctx.stroke();
});
};
</script>
<style scoped lang="less">
.small-title {
justify-content: space-between;
align-items: center;
}
.show-area {
width: 100%;
}
.el-row {
margin-bottom: 20px;
}
</style>

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<!DOCTYPE html>
<html lang="en">
<head>
<script>var Module;</script>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Vite App</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="main.ts"></script>
</body>
</html>

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import { createApp } from "vue";
import App from "./App.vue";
import "../../../../assets/main.css";
const app = createApp(App);
app.mount("#app");

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<script setup lang="ts">
import ScrewDetection from "@/pages/cv/detection/ScrewDetection/ScrewDetection.vue";
</script>
<template>
<el-container>
<el-header>Header</el-header>
<el-main>
<ScrewDetection></ScrewDetection>
</el-main>
<el-footer>Footer</el-footer>
</el-container>
</template>
<style scoped lang="less">
.el-container {
height: 100%;
width: 100%;
}
</style>

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<template>
<el-dialog
v-model="isLoadingModel"
title="提示"
width="30%"
center
:lock-scroll="true"
:show-close="false"
:close-on-click-modal="false"
:close-on-press-escape="false"
>
<span>正在加载模型请稍等</span>
</el-dialog>
<el-row :gutter="20">
<el-col :span="12">
<el-row class="small-title">
<h2>上传图片</h2>
</el-row>
<el-row>
<el-input type="file" v-model="fileName" @change="uploadImg"></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="show-img" class="show-area" />
<!-- 用于存放真实图片进行文字识别 -->
<img id="raw-img" style="display: none" />
</el-row>
</el-col>
<el-col :span="12">
<el-row class="small-title">
<h2>螺丝螺母区域检测</h2>
</el-row>
<el-row>
<el-button type="primary" @click="predict">开始检测</el-button>
</el-row>
<el-row>
<canvas id="canvas" class="show-area"></canvas>
</el-row>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import * as det from "@paddle-js-models/detect";
import { onMounted, ref } from "vue";
const fileName = ref(null);
const canvas = ref(null as unknown as HTMLCanvasElement);
const isLoadingModel = ref(true);
const label = new Map([
[0, "default"],
[1, "screw"],
[2, "nut"],
]);
onMounted(async () => {
canvas.value = document.getElementById("canvas") as HTMLCanvasElement;
await det.init();
isLoadingModel.value = false;
});
const uploadImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById("show-img") as HTMLImageElement;
// 用于识别
const rawImg = document.getElementById("raw-img") as HTMLImageElement;
const inputElement = document
.getElementsByClassName("el-input")[0]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
rawImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const predict = async () => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const res = await det.detect(img);
console.log(res);
drawBox(res);
};
const drawBox = (points: number[][]) => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const imgHeight = img.height;
const imgWidth = img.width;
canvas.value.width = imgWidth;
canvas.value.height = imgHeight;
const ctx = canvas.value.getContext("2d") as CanvasRenderingContext2D;
ctx.drawImage(img, 0, 0, canvas.value.width, canvas.value.height);
points.forEach((point: number[]) => {
// 开始一个新的绘制路径
ctx.beginPath();
// 设置线条颜色为蓝色
ctx.strokeStyle = "red";
// 获取检测框选坐标
const left = Math.floor(point[2] * imgWidth);
const top = Math.floor(point[3] * imgHeight);
const right = Math.floor(point[4] * imgWidth);
const bottom = Math.floor(point[5] * imgHeight);
ctx.beginPath();
// 绘制检测框选矩形
ctx.rect(left, top, right - left, bottom - top);
// 绘制label
ctx.fillText(label.get(point[0])!, left + 10, top + 10);
ctx.stroke();
});
};
</script>
<style scoped lang="less">
.small-title {
justify-content: space-between;
align-items: center;
}
.show-area {
width: 100%;
}
.el-row {
margin-bottom: 20px;
}
</style>

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<!DOCTYPE html>
<html lang="en">
<head>
<script>var Module;</script>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Vite App</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="main.ts"></script>
</body>
</html>

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import { createApp } from "vue";
import App from "./App.vue";
import "../../../../assets/main.css";
const app = createApp(App);
app.mount("#app");

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<script setup lang="ts">
import TextDetection from "@/pages/cv/ocr/TextDetection/TextDetection.vue";
</script>
<template>
<el-container>
<el-header>Header</el-header>
<el-main>
<TextDetection></TextDetection>
</el-main>
<el-footer>Footer</el-footer>
</el-container>
</template>
<style scoped lang="less">
.el-container {
height: 100%;
width: 100%;
}
</style>

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<template>
<el-dialog
v-model="isLoadingModel"
title="提示"
width="30%"
center
:lock-scroll="true"
:show-close="false"
:close-on-click-modal="false"
:close-on-press-escape="false"
>
<span>正在加载模型请稍等</span>
</el-dialog>
<el-row :gutter="20">
<el-col :span="12">
<el-row class="small-title">
<h2>上传文本图片</h2>
</el-row>
<el-row>
<el-input type="file" v-model="fileName" @change="uploadImg"></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="show-img" class="show-area" />
<!-- 用于存放真实图片进行文字识别 -->
<img id="raw-img" style="display: none" />
</el-row>
</el-col>
<el-col :span="12">
<el-row class="small-title">
<h2>文字区域检测</h2>
</el-row>
<el-row>
<el-button type="primary" @click="predict">开始检测</el-button>
</el-row>
<el-row>
<canvas id="canvas" class="show-area"></canvas>
</el-row>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import * as ocrDet from "@paddle-js-models/ocrdet";
import { onMounted, ref } from "vue";
const fileName = ref(null);
const canvas = ref(null as unknown as HTMLCanvasElement);
const isLoadingModel = ref(true);
onMounted(async () => {
canvas.value = document.getElementById("canvas") as HTMLCanvasElement;
await ocrDet.load();
isLoadingModel.value = false;
});
const uploadImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById("show-img") as HTMLImageElement;
// 用于识别
const rawImg = document.getElementById("raw-img") as HTMLImageElement;
const inputElement = document
.getElementsByClassName("el-input")[0]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
rawImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const predict = async () => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const res = await ocrDet.detect(img);
console.log(res);
drawBox(res);
};
const drawBox = (points: number[][][]) => {
const img = document.getElementById("raw-img") as HTMLImageElement;
canvas.value.width = img.naturalWidth;
canvas.value.height = img.naturalHeight;
const ctx = canvas.value.getContext("2d") as CanvasRenderingContext2D;
ctx.drawImage(img, 0, 0, canvas.value.width, canvas.value.height);
points.forEach((point) => {
// 开始一个新的绘制路径
ctx.beginPath();
// 设置线条颜色为蓝色
ctx.strokeStyle = "blue";
// 设置路径起点坐标
ctx.moveTo(point[0][0], point[0][1]);
ctx.lineTo(point[1][0], point[1][1]);
ctx.lineTo(point[2][0], point[2][1]);
ctx.lineTo(point[3][0], point[3][1]);
ctx.closePath();
ctx.stroke();
});
};
</script>
<style scoped lang="less">
.small-title {
justify-content: space-between;
align-items: center;
}
.show-area {
width: 100%;
}
.el-row {
margin-bottom: 20px;
}
</style>

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<!DOCTYPE html>
<html lang="en">
<head>
<script>var Module;</script>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Vite App</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="main.ts"></script>
</body>
</html>

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import { createApp } from "vue";
import App from "./App.vue";
import "../../../../assets/main.css";
const app = createApp(App);
app.mount("#app");

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<script setup lang="ts">
import TextRecognition from "@/pages/cv/ocr/TextRecognition/TextRecognition.vue";
</script>
<template>
<el-container>
<el-header>Header</el-header>
<el-main>
<TextRecognition></TextRecognition>
</el-main>
<el-footer>Footer</el-footer>
</el-container>
</template>
<style scoped lang="less">
.el-container {
height: 100%;
width: 100%;
}
</style>

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<template>
<el-dialog
v-model="isLoadingModel"
title="提示"
width="30%"
center
:lock-scroll="true"
:show-close="false"
:close-on-click-modal="false"
:close-on-press-escape="false"
>
<span>正在加载模型请稍等</span>
</el-dialog>
<el-row :gutter="20">
<el-col :span="8">
<el-row class="small-title">
<h2>上传文本图片</h2>
</el-row>
<el-row>
<el-input type="file" v-model="fileName" @change="uploadImg"></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="show-img" class="show-area" />
<!-- 用于存放真实图片进行文字识别 -->
<img id="raw-img" style="display: none" />
</el-row>
</el-col>
<el-col :span="8">
<el-row class="small-title">
<h2>文字区域检测</h2>
</el-row>
<el-row>
<el-button type="primary" @click="predict">开始识别</el-button>
</el-row>
<el-row>
<canvas id="canvas" class="show-area"></canvas>
</el-row>
</el-col>
<el-col :span="8">
<el-row class="small-title">
<h2>识别结果展示</h2>
</el-row>
<span v-html="result"></span>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import * as ocr from "@paddle-js-models/ocr";
import { onMounted, onUnmounted, ref } from "vue";
const fileName = ref(null);
const canvas = ref(null as unknown as HTMLCanvasElement);
const result = ref("");
const isLoadingModel = ref(true);
onMounted(async () => {
canvas.value = document.getElementById("canvas") as HTMLCanvasElement;
await ocr.init();
isLoadingModel.value = false;
});
onUnmounted(() => {
console.log("delete rec");
});
const uploadImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById("show-img") as HTMLImageElement;
// 用于识别
const rawImg = document.getElementById("raw-img") as HTMLImageElement;
const inputElement = document
.getElementsByClassName("el-input")[0]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
rawImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const predict = async () => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const res = await ocr.recognize(img, { canvas: canvas.value });
console.log(res);
if (res.text?.length) {
// 页面展示识别内容
result.value = res.text.reduce((total, cur) => total + `<p>${cur}</p>`);
}
};
</script>
<style scoped lang="less">
.small-title {
justify-content: space-between;
align-items: center;
}
.show-area {
width: 100%;
}
.el-row {
margin-bottom: 20px;
}
</style>

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<!DOCTYPE html>
<html lang="en">
<head>
<script>var Module;</script>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Vite App</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="main.ts"></script>
</body>
</html>

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import { createApp } from "vue";
import App from "./App.vue";
import "../../../../assets/main.css";
const app = createApp(App);
app.mount("#app");

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<script setup lang="ts">
import GestureRecognition from "@/pages/cv/recognition/GestureRecognition/GestureRecognition.vue";
</script>
<template>
<el-container>
<el-header>Header</el-header>
<el-main>
<GestureRecognition></GestureRecognition>
</el-main>
<el-footer>Footer</el-footer>
</el-container>
</template>
<style scoped lang="less">
.el-container {
height: 100%;
width: 100%;
}
</style>

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<template>
<el-dialog
v-model="isLoadingModel"
title="提示"
width="30%"
center
:lock-scroll="true"
:show-close="false"
:close-on-click-modal="false"
:close-on-press-escape="false"
>
<span>正在加载模型请稍等</span>
</el-dialog>
<el-row :gutter="20">
<el-col :span="8">
<el-row class="small-title">
<h2>上传手势图片</h2>
</el-row>
<el-row>
<el-input type="file" v-model="fileName" @change="uploadImg"></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="show-img" class="show-area" />
<!-- 用于存放真实图片进行文字识别 -->
<img id="raw-img" style="display: none" />
</el-row>
</el-col>
<el-col :span="8">
<el-row class="small-title">
<h2>手势检测</h2>
</el-row>
<el-row>
<el-button type="primary" @click="predict">开始识别</el-button>
</el-row>
<el-row>
<canvas id="canvas" class="show-area"></canvas>
</el-row>
</el-col>
<el-col :span="8">
<el-row class="small-title">
<h2>手势识别结果</h2>
</el-row>
<span v-html="result"></span>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import * as gestureRec from "@paddle-js-models/gesture";
import { onMounted, onUnmounted, ref } from "vue";
const fileName = ref(null);
const canvas = ref(null as unknown as HTMLCanvasElement);
const result = ref("");
const isLoadingModel = ref(true);
onMounted(async () => {
canvas.value = document.getElementById("canvas") as HTMLCanvasElement;
await gestureRec.load();
isLoadingModel.value = false;
});
onUnmounted(() => {
console.log("delete rec");
});
const uploadImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById("show-img") as HTMLImageElement;
// 用于识别
const rawImg = document.getElementById("raw-img") as HTMLImageElement;
const inputElement = document
.getElementsByClassName("el-input")[0]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
rawImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const predict = async () => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const res = await gestureRec.classify(img);
console.log(res);
if (res.box && res.box.length) {
result.value = res.type;
drawBox(res.box as number[][]);
} else {
result.value = "未识别到手";
}
};
const drawBox = (box: number[][]) => {
const img = document.getElementById("raw-img") as HTMLImageElement;
canvas.value.width = img.naturalWidth;
canvas.value.height = img.naturalHeight;
const ctx = canvas.value.getContext("2d") as CanvasRenderingContext2D;
ctx.drawImage(img, 0, 0, canvas.value.width, canvas.value.height);
/**
* 计算缩放比率,得到实际绘制框的坐标
*/
let offsetX = 0;
let offsetY = 0;
if (img.width < img.height) {
offsetX = img.height - img.width;
}
if (img.width > img.height) {
offsetY = img.width - img.height;
}
const widthRatio = (img.width + offsetX) / 256;
const heightRatio = (img.height + offsetY) / 256;
const points: number[][] = [];
box.forEach((item) => {
const tmpPonit = [];
tmpPonit[0] = item[0] * widthRatio - offsetX / 2;
tmpPonit[1] = item[1] * heightRatio - offsetY / 2;
points.push(tmpPonit);
});
// 开始一个新的绘制路径
ctx.beginPath();
// 设置线条颜色为蓝色
ctx.strokeStyle = "blue";
// 设置路径起点坐标
ctx.moveTo(points[0][0], points[0][1]);
ctx.lineTo(points[1][0], points[1][1]);
ctx.lineTo(points[2][0], points[2][1]);
ctx.lineTo(points[3][0], points[3][1]);
ctx.closePath();
ctx.stroke();
};
</script>
<style scoped lang="less">
.small-title {
justify-content: space-between;
align-items: center;
}
.show-area {
width: 100%;
}
.el-row {
margin-bottom: 20px;
}
</style>

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<!DOCTYPE html>
<html lang="en">
<head>
<script>var Module;</script>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Vite App</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="main.ts"></script>
</body>
</html>

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import { createApp } from "vue";
import App from "./App.vue";
import "../../../../assets/main.css";
const app = createApp(App);
app.mount("#app");

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<script setup lang="ts">
import ItemIdentification from "@/pages/cv/recognition/ItemIdentification/ItemIdentification.vue";
</script>
<template>
<el-container>
<el-header>Header</el-header>
<el-main>
<ItemIdentification></ItemIdentification>
</el-main>
<el-footer>Footer</el-footer>
</el-container>
</template>
<style scoped lang="less">
.el-container {
height: 100%;
width: 100%;
}
</style>

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<template>
<el-dialog
v-model="isLoadingModel"
title="提示"
width="30%"
center
:lock-scroll="true"
:show-close="false"
:close-on-click-modal="false"
:close-on-press-escape="false"
>
<span>正在加载模型请稍等</span>
</el-dialog>
<el-row :gutter="20">
<el-col :span="16">
<el-row class="small-title">
<h2>上传图片</h2>
</el-row>
<el-row>
<el-input type="file" v-model="fileName" @change="uploadImg"></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="show-img" class="show-area" />
<!-- 用于存放真实图片进行文字识别 -->
<img id="raw-img" style="display: none" />
</el-row>
</el-col>
<el-col :span="8">
<el-row class="small-title">
<h2>预测结果</h2>
</el-row>
<el-row>
<el-button type="primary" @click="predict">开始检测</el-button>
</el-row>
<el-row>
{{ itemName }}
</el-row>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import * as mobilenet from "@paddle-js-models/mobilenet";
import { onMounted, ref } from "vue";
import map from "./map.json";
const fileName = ref(null);
const canvas = ref(null as unknown as HTMLCanvasElement);
const isLoadingModel = ref(true);
const itemName = ref(null);
onMounted(async () => {
canvas.value = document.getElementById("canvas") as HTMLCanvasElement;
await mobilenet.load(
{
path: "https://paddlejs.bj.bcebos.com/models/fuse/mobilenet/mobileNetV2_fuse_activation/model.json",
mean: [0.485, 0.456, 0.406],
std: [0.229, 0.224, 0.225],
},
map
);
isLoadingModel.value = false;
});
const uploadImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById("show-img") as HTMLImageElement;
// 用于识别
const rawImg = document.getElementById("raw-img") as HTMLImageElement;
const inputElement = document
.getElementsByClassName("el-input")[0]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
rawImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const predict = async () => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const res = await mobilenet.classify(img);
console.log(res);
itemName.value = res;
};
</script>
<style scoped lang="less">
.small-title {
justify-content: space-between;
align-items: center;
}
.show-area {
width: 100%;
}
.el-row {
margin-bottom: 20px;
}
</style>

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<!DOCTYPE html>
<html lang="en">
<head>
<script>var Module;</script>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Vite App</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="main.ts"></script>
</body>
</html>

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import { createApp } from "vue";
import App from "./App.vue";
import "../../../../assets/main.css";
const app = createApp(App);
app.mount("#app");

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<template>
<div></div>
</template>
<script setup lang="ts"></script>
<style scoped lang="less"></style>

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<script setup lang="ts">
import HumanSeg from "@/pages/cv/segmentation/HumanSeg/HumanSeg.vue";
</script>
<template>
<el-container>
<el-header>Header</el-header>
<el-main>
<HumanSeg></HumanSeg>
</el-main>
<el-footer>Footer</el-footer>
</el-container>
</template>
<style scoped lang="less">
.el-container {
height: 100%;
width: 100%;
}
</style>

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<template>
<el-dialog
v-model="isLoadingModel"
title="提示"
width="30%"
center
:lock-scroll="true"
:show-close="false"
:close-on-click-modal="false"
:close-on-press-escape="false"
>
<span>正在加载模型请稍等</span>
</el-dialog>
<el-row :gutter="20">
<el-col :span="8">
<el-row class="small-title">
<h2>上传图片</h2>
</el-row>
<el-row>
<el-input type="file" v-model="fileName" @change="uploadImg"></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="show-img" class="show-area" />
<!-- 用于存放真实图片进行文字识别 -->
<img id="raw-img" style="display: none" />
</el-row>
</el-col>
<el-col :span="4">
<el-row class="small-title">
<h2>上传替换背景图片</h2>
</el-row>
<el-row>
<el-input
type="file"
v-model="newBackgroundImgFileName"
@change="uploadNewBackgroundImg"
></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="new-background-img" class="show-area" />
</el-row>
<el-row>
<canvas id="background" class="show-area"></canvas>
</el-row>
</el-col>
<el-col :span="4">
<el-row class="small-title">
<h2>背景替换</h2>
</el-row>
<el-row>
<el-button type="primary" @click="backgroundReplace">
替换背景
</el-button>
</el-row>
<el-row>
<canvas id="replace-background" class="show-area"></canvas>
</el-row>
</el-col>
<el-col :span="4">
<el-row class="small-title">
<h2>背景虚化</h2>
</el-row>
<el-row>
<el-button type="primary" @click="blurBackground">背景虚化</el-button>
</el-row>
<el-row>
<canvas id="blur" class="show-area"></canvas>
</el-row>
</el-col>
<el-col :span="4">
<el-row class="small-title">
<h2>人形遮罩</h2>
</el-row>
<el-row>
<el-button type="primary" @click="drawHumanoidMask">
绘制人形遮罩
</el-button>
</el-row>
<el-row>
<canvas id="mask" class="show-area"></canvas>
</el-row>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import * as humanSeg from "@paddle-js-models/humanseg";
import { onMounted, ref } from "vue";
const fileName = ref(null);
const newBackgroundImgFileName = ref(null);
const backgroundCanvas = ref(null as unknown as HTMLCanvasElement);
const replaceBackgroundCanvas = ref(null as unknown as HTMLCanvasElement);
const blurCanvas = ref(null as unknown as HTMLCanvasElement);
const maskCanvas = ref(null as unknown as HTMLCanvasElement);
const isLoadingModel = ref(true);
const modelPredictDone = ref(false);
/**
* 存储模型分割后的像素 alpha 值
*/
let garyData: number[];
onMounted(async () => {
backgroundCanvas.value = document.getElementById(
"background"
) as HTMLCanvasElement;
replaceBackgroundCanvas.value = document.getElementById(
"replace-background"
) as HTMLCanvasElement;
blurCanvas.value = document.getElementById("blur") as HTMLCanvasElement;
maskCanvas.value = document.getElementById("mask") as HTMLCanvasElement;
await humanSeg.load();
isLoadingModel.value = false;
});
const uploadImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById("show-img") as HTMLImageElement;
// 用于识别
const rawImg = document.getElementById("raw-img") as HTMLImageElement;
const inputElement = document
.getElementsByClassName("el-input")[0]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
rawImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const uploadNewBackgroundImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById(
"new-background-img"
) as HTMLImageElement;
// 获取背景图片的 input
const inputElement = document
.getElementsByClassName("el-input")[1]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const backgroundReplace = async () => {
if (!modelPredictDone.value) {
await seg();
modelPredictDone.value = true;
}
const showImg = document.getElementById(
"new-background-img"
) as HTMLImageElement;
backgroundCanvas.value.width = showImg.naturalWidth;
backgroundCanvas.value.height = showImg.naturalHeight;
backgroundCanvas.value
.getContext("2d")!
.drawImage(showImg, 0, 0, showImg.naturalWidth, showImg.naturalHeight);
humanSeg.drawHumanSeg(
garyData,
replaceBackgroundCanvas.value,
backgroundCanvas.value
);
};
const blurBackground = async () => {
if (!modelPredictDone.value) {
await seg();
modelPredictDone.value = true;
}
humanSeg.blurBackground(garyData, blurCanvas.value);
};
const drawHumanoidMask = async () => {
if (!modelPredictDone.value) {
await seg();
modelPredictDone.value = true;
}
humanSeg.drawMask(garyData, maskCanvas.value, backgroundCanvas.value);
};
const seg = async () => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const res = await humanSeg.getGrayValue(img);
console.log(res);
garyData = res.data;
};
</script>
<style scoped lang="less">
.small-title {
justify-content: space-between;
align-items: center;
}
.show-area {
width: 100%;
}
.el-row {
margin-bottom: 20px;
}
</style>

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<!DOCTYPE html>
<html lang="en">
<head>
<script>var Module;</script>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Vite App</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="main.ts"></script>
</body>
</html>

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import { createApp } from "vue";
import App from "./App.vue";
import "../../../../assets/main.css";
const app = createApp(App);
app.mount("#app");

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<script setup lang="ts">
import HumanSeg from "@/pages/cv/segmentation/HumanSeg/HumanSeg.vue";
</script>
<template>
<el-container>
<el-header>Header</el-header>
<el-main>
<HumanSeg></HumanSeg>
</el-main>
<el-footer>Footer</el-footer>
</el-container>
</template>
<style scoped lang="less">
.el-container {
height: 100%;
width: 100%;
}
</style>

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<template>
<el-dialog
v-model="isLoadingModel"
title="提示"
width="30%"
center
:lock-scroll="true"
:show-close="false"
:close-on-click-modal="false"
:close-on-press-escape="false"
>
<span>正在加载模型请稍等</span>
</el-dialog>
<el-row :gutter="20">
<el-col :span="8">
<el-row class="small-title">
<h2>上传图片</h2>
</el-row>
<el-row>
<el-input type="file" v-model="fileName" @change="uploadImg"></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="show-img" class="show-area" />
<!-- 用于存放真实图片进行文字识别 -->
<img id="raw-img" style="display: none" />
</el-row>
</el-col>
<el-col :span="4">
<el-row class="small-title">
<h2>上传替换背景图片</h2>
</el-row>
<el-row>
<el-input
type="file"
v-model="newBackgroundImgFileName"
@change="uploadNewBackgroundImg"
></el-input>
</el-row>
<el-row>
<!-- 用于展示图片 -->
<img id="new-background-img" class="show-area" />
</el-row>
<el-row>
<canvas id="background" class="show-area"></canvas>
</el-row>
</el-col>
<el-col :span="4">
<el-row class="small-title">
<h2>背景替换</h2>
</el-row>
<el-row>
<el-button type="primary" @click="backgroundReplace">
替换背景
</el-button>
</el-row>
<el-row>
<canvas id="replace-background" class="show-area"></canvas>
</el-row>
</el-col>
<el-col :span="4">
<el-row class="small-title">
<h2>背景虚化</h2>
</el-row>
<el-row>
<el-button type="primary" @click="blurBackground">背景虚化</el-button>
</el-row>
<el-row>
<canvas id="blur" class="show-area"></canvas>
</el-row>
</el-col>
<el-col :span="4">
<el-row class="small-title">
<h2>人形遮罩</h2>
</el-row>
<el-row>
<el-button type="primary" @click="drawHumanoidMask">
绘制人形遮罩
</el-button>
</el-row>
<el-row>
<canvas id="mask" class="show-area"></canvas>
</el-row>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import * as humanSeg from "@paddle-js-models/humanseg_gpu";
import { onMounted, ref } from "vue";
const fileName = ref(null);
const newBackgroundImgFileName = ref(null);
const backgroundCanvas = ref(null as unknown as HTMLCanvasElement);
const replaceBackgroundCanvas = ref(null as unknown as HTMLCanvasElement);
const blurCanvas = ref(null as unknown as HTMLCanvasElement);
const maskCanvas = ref(null as unknown as HTMLCanvasElement);
const isLoadingModel = ref(true);
const modelPredictDone = ref(false);
/**
* 存储模型分割后的像素 alpha 值
*/
let garyData: number[];
onMounted(async () => {
backgroundCanvas.value = document.getElementById(
"background"
) as HTMLCanvasElement;
replaceBackgroundCanvas.value = document.getElementById(
"replace-background"
) as HTMLCanvasElement;
blurCanvas.value = document.getElementById("blur") as HTMLCanvasElement;
maskCanvas.value = document.getElementById("mask") as HTMLCanvasElement;
await humanSeg.load();
isLoadingModel.value = false;
});
const uploadImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById("show-img") as HTMLImageElement;
// 用于识别
const rawImg = document.getElementById("raw-img") as HTMLImageElement;
const inputElement = document
.getElementsByClassName("el-input")[0]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
rawImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const uploadNewBackgroundImg = () => {
/**
* 这里由于操作是绑定在 el-input 上;因此需要在内部重新获取 input 再拿到 file
*/
const reader = new FileReader();
// 用于展示
const showImg = document.getElementById(
"new-background-img"
) as HTMLImageElement;
// 获取背景图片的 input
const inputElement = document
.getElementsByClassName("el-input")[1]
.getElementsByTagName("input")[0];
try {
const file = inputElement.files![0];
reader.onload = () => {
showImg.src = URL.createObjectURL(file);
};
reader.readAsDataURL(file);
} catch (err) {
console.error(err);
}
};
const backgroundReplace = async () => {
if (!modelPredictDone.value) {
await seg();
modelPredictDone.value = true;
}
const showImg = document.getElementById(
"new-background-img"
) as HTMLImageElement;
backgroundCanvas.value.width = showImg.naturalWidth;
backgroundCanvas.value.height = showImg.naturalHeight;
backgroundCanvas.value
.getContext("2d")!
.drawImage(showImg, 0, 0, showImg.naturalWidth, showImg.naturalHeight);
humanSeg.drawHumanSeg(
garyData,
replaceBackgroundCanvas.value,
backgroundCanvas.value
);
};
const blurBackground = async () => {
if (!modelPredictDone.value) {
await seg();
modelPredictDone.value = true;
}
humanSeg.blurBackground(garyData, blurCanvas.value);
};
const drawHumanoidMask = async () => {
if (!modelPredictDone.value) {
await seg();
modelPredictDone.value = true;
}
humanSeg.drawMask(garyData, maskCanvas.value, backgroundCanvas.value);
};
const seg = async () => {
const img = document.getElementById("raw-img") as HTMLImageElement;
const res = await humanSeg.getGrayValue(img);
console.log(res);
garyData = res.data;
};
</script>
<style scoped lang="less">
.small-title {
justify-content: space-between;
align-items: center;
}
.show-area {
width: 100%;
}
.el-row {
margin-bottom: 20px;
}
</style>

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<!DOCTYPE html>
<html lang="en">
<head>
<script>var Module;</script>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Vite App</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="main.ts"></script>
</body>
</html>

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import { createApp } from "vue";
import App from "./App.vue";
import "../../../../assets/main.css";
const app = createApp(App);
app.mount("#app");

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<script setup lang="ts">
import MainView from "@/pages/main/MainView.vue";
</script>
<template>
<MainView></MainView>
</template>
<style scoped lang="less"></style>

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<template>
<el-container>
<el-aside>
<MenuView></MenuView>
</el-aside>
<el-container>
<el-header>Header</el-header>
<el-main>
<RouterView></RouterView>
</el-main>
<el-footer>Footer</el-footer>
</el-container>
</el-container>
</template>
<script setup lang="ts">
import MenuView from "@/pages/main/MenuView.vue";
</script>
<style scoped lang="less">
.el-container {
height: 100%;
width: 100%;
}
</style>

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<template>
<el-row>
<el-col>
<el-menu default-active="ocr" @open="handleOpen" @close="handleClose">
<el-sub-menu index="1">
<template #title>
<span>智能视觉Paddle.js-CV</span>
</template>
<el-menu-item index="det" @click="routerJump('/det')">
<span>图像检测</span>
</el-menu-item>
<el-menu-item index="seg" @click="routerJump('/seg')">
<span>图像分割</span>
</el-menu-item>
<el-menu-item index="rec" @click="routerJump('/rec')">
<span>图像识别</span>
</el-menu-item>
<el-menu-item index="ocr" @click="routerJump('/ocr')">
<span>OCR</span>
</el-menu-item>
</el-sub-menu>
</el-menu>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import { routerJump } from "@/pages/main/utils/routerJump";
const handleOpen = (key: string, keyPath: string[]) => {
console.log(key, keyPath);
};
const handleClose = (key: string, keyPath: string[]) => {
console.log(key, keyPath);
};
</script>
<style scoped lang="less"></style>

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<!DOCTYPE html>
<html lang="en">
<head>
<script>var Module;</script>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Vite App</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="main.ts"></script>
</body>
</html>

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import { createApp } from "vue";
import { createPinia } from "pinia";
import App from "./App.vue";
import router from "./router";
import "../../assets/main.css";
const app = createApp(App);
app.use(createPinia());
app.use(router);
app.mount("#app");

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import { createRouter, createWebHashHistory } from "vue-router";
import DetectionIntroduction from "@/pages/main/views/detection/DetectionIntroduction.vue";
import OcrIntroduction from "@/pages/main/views/ocr/OcrIntroduction.vue";
import RecognitionIntroduction from "@/pages/main/views/recognition/RecognitionIntroduction.vue";
import SegmentationView from "@/pages/main/views/segmentation/SegmentationView.vue";
const router = createRouter({
history: createWebHashHistory(import.meta.env.BASE_URL),
routes: [
{
path: "/",
name: "main",
component: OcrIntroduction,
},
{
path: "/det",
name: "det",
component: DetectionIntroduction,
},
{
path: "/rec",
name: "rec",
component: RecognitionIntroduction,
},
{
path: "/seg",
name: "seg",
component: SegmentationView,
},
{
path: "/ocr",
name: "ocr",
component: OcrIntroduction,
},
],
});
export default router;

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import router from "@/pages/main/router";
export function routerJump(target: string) {
router.push(target);
}

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<template>
<el-row :gutter="20">
<!-- det -->
<el-col :span="8">
<el-card
:body-style="{ padding: '0px' }"
@click="openWindow('cv/detection/ScrewDetection/index.html')"
>
<img src="../../img/det.png" class="image" />
<div style="padding: 14px">
<h2>物体检测</h2>
<div>基于检测模型实现检测螺丝和螺母</div>
</div>
</el-card>
</el-col>
<!-- face-det -->
<el-col :span="8">
<el-card
:body-style="{ padding: '0px' }"
@click="openWindow('cv/detection/FaceDetection/index.html')"
>
<img src="../../img/facedet.png" class="image" />
<div style="padding: 14px">
<h2>人脸检测</h2>
<div>基于检测模型实现检测人脸</div>
</div>
</el-card>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import { openWindow } from "@/utils/openWindow";
</script>
<style scoped lang="less">
img {
width: 100%;
height: 200px;
background-position: center center;
}
</style>

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<template>
<el-row :gutter="20">
<!-- ocr -->
<el-col :span="8">
<el-card
:body-style="{ padding: '0px' }"
@click="openWindow('cv/ocr/TextRecognition/index.html')"
>
<img src="../../img/ocr.jpg" class="image" />
<div style="padding: 14px">
<h2>OCR图像中文本识别</h2>
<div>
基于ocr文本区域检测模型可框选通用文本字符中文英文数字所在区域
</div>
</div>
</el-card>
</el-col>
<!-- ocrdet -->
<el-col :span="8">
<el-card
:body-style="{ padding: '0px' }"
@click="openWindow('cv/ocr/TextDetection/index.html')"
>
<img src="../../img/ocrdet.jpg" class="image" />
<div style="padding: 14px">
<h2>OCR图像中文本检测</h2>
<div>
基于ocr文本区域检测模型可框选通用文本字符中文英文数字所在区域
</div>
</div>
</el-card>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import { openWindow } from "@/utils/openWindow";
</script>
<style scoped lang="less">
img {
width: 100%;
height: 200px;
background-position: center center;
}
</style>

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<template>
<el-row :gutter="20">
<!-- gesture -->
<el-col :span="8">
<el-card
:body-style="{ padding: '0px' }"
@click="openWindow('cv/recognition/GestureRecognition/index.html')"
>
<img src="../../img/gesture.png" class="image" />
<div style="padding: 14px">
<h2>手势识别AI猜丁壳</h2>
<div>
基于手势检测&识别模型支持在h5小程序中识别剪刀石头"1""ok"等手势
</div>
</div>
</el-card>
</el-col>
<!-- itemrec -->
<el-col :span="8">
<el-card
:body-style="{ padding: '0px' }"
@click="openWindow('cv/recognition/ItemIdentification/index.html')"
>
<img src="../../img/itemrec.jpeg" class="image" />
<div style="padding: 14px">
<h2>1000物品识别</h2>
<div>基于MobileNet_V2模型可识别常见的1000物品</div>
</div>
</el-card>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import { openWindow } from "@/utils/openWindow";
</script>
<style scoped lang="less">
img {
width: 100%;
height: 200px;
background-position: center center;
}
</style>

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<template>
<el-row :gutter="20">
<!-- human_seg -->
<el-col :span="8">
<el-card
:body-style="{ padding: '0px' }"
@click="openWindow('cv/segmentation/HumanSeg/index.html')"
>
<img src="../../img/humanseg.png" class="image" />
<div style="padding: 14px">
<h2>人像分割</h2>
<div>使用者可以用于背景替换背景虚化等</div>
</div>
</el-card>
</el-col>
<!-- human_seg_gpu -->
<el-col :span="8">
<el-card
:body-style="{ padding: '0px' }"
@click="openWindow('cv/segmentation/HumanSeg_gpu/index.html')"
>
<img src="../../img/humanseg.png" class="image" />
<div style="padding: 14px">
<h2>人像分割GPU</h2>
<div>使用者可以用于背景替换背景虚化等</div>
</div>
</el-card>
</el-col>
</el-row>
</template>
<script setup lang="ts">
import { openWindow } from "@/utils/openWindow";
</script>
<style scoped lang="less">
img {
width: 100%;
height: 200px;
background-position: center center;
}
</style>

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const domain = window.document.location.href.slice(
0,
window.document.location.href.indexOf("main")
);
export function openWindow(path: string) {
window.open(domain + path, "_blank");
}