feat: Tesseract识别 优化增加红色框
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package-lock.json
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30
package-lock.json
generated
@ -13,6 +13,7 @@
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"@fortawesome/fontawesome-svg-core": "6.7.2",
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"@fortawesome/free-solid-svg-icons": "6.7.2",
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"@fortawesome/vue-fontawesome": "3.0.8",
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"@paddlejs-models/ocr": "^1.2.4",
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"@vue/compat": "3.5.13",
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"@vuelidate/core": "2.0.3",
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"@vuelidate/validators": "2.0.4",
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@ -2583,6 +2584,35 @@
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"dev": true,
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"license": "MIT"
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},
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"node_modules/@paddlejs-mediapipe/opencv": {
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"version": "0.0.4",
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"resolved": "https://registry.npmmirror.com/@paddlejs-mediapipe/opencv/-/opencv-0.0.4.tgz",
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"integrity": "sha512-bfwixZPKGFh7JcAtLToTBmBiu/nyQjVrm0gf/pn92apHJQEYyhnAFGvgDubmqQbijmtP2/fbOMR4CuSSlq2g8w==",
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"license": "ISC"
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},
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"node_modules/@paddlejs-models/ocr": {
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"version": "1.2.4",
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"resolved": "https://registry.npmmirror.com/@paddlejs-models/ocr/-/ocr-1.2.4.tgz",
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"integrity": "sha512-mdvaWXQaCmLULEvCxcsUzHtDgmoDVzJX2LsqyMmJxSzfhgrtnscF1eLiLbaouDwg6n08koXP0BCzeB+0oAv/AQ==",
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"license": "ISC",
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"dependencies": {
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"@paddlejs-mediapipe/opencv": "0.0.4",
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"@paddlejs/paddlejs-backend-webgl": "^1.1.19",
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"@paddlejs/paddlejs-core": "^2.1.17"
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}
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},
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"node_modules/@paddlejs/paddlejs-backend-webgl": {
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"version": "1.2.9",
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"resolved": "https://registry.npmmirror.com/@paddlejs/paddlejs-backend-webgl/-/paddlejs-backend-webgl-1.2.9.tgz",
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"integrity": "sha512-cVDa0/Wbw2EyfsYqdYUPhFeqKsET79keEUWjyhYQmQkJfWg8j1qdR6yp7g6nx9qAGrqFvwuj1s0EqkYA1dok6A==",
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"license": "ISC"
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},
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"node_modules/@paddlejs/paddlejs-core": {
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"version": "2.2.0",
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"resolved": "https://registry.npmmirror.com/@paddlejs/paddlejs-core/-/paddlejs-core-2.2.0.tgz",
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"integrity": "sha512-P3rPkF9fFHtq8uSte5gA7fJQwBNl9Ytsvj6aTcfQSsirnBO/HxMNu0gJyh7+lItvEtF92PR15eI0eOwJYfZDhQ==",
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"license": "ISC"
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},
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"node_modules/@pinia/testing": {
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"version": "0.1.7",
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"resolved": "https://registry.npmmirror.com/@pinia/testing/-/testing-0.1.7.tgz",
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@ -81,6 +81,7 @@
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"@fortawesome/fontawesome-svg-core": "6.7.2",
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"@fortawesome/free-solid-svg-icons": "6.7.2",
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"@fortawesome/vue-fontawesome": "3.0.8",
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"@paddlejs-models/ocr": "^1.2.4",
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"@vue/compat": "3.5.13",
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"@vuelidate/core": "2.0.3",
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"@vuelidate/validators": "2.0.4",
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@ -1,7 +1,12 @@
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<template>
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<div class="weight-reader-container">
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<div v-if="!cameraError">
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<video ref="video" autoplay playsinline></video>
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<div class="camera-view">
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<video ref="video" autoplay playsinline></video>
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<div class="overlay">
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<div class="capture-frame"></div>
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</div>
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</div>
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<canvas ref="canvas" style="display: none"></canvas>
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<div class="weight-result">
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<p>
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@ -30,6 +35,7 @@
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import { defineComponent, ref, onMounted, onBeforeUnmount } from 'vue';
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import { useI18n } from 'vue-i18n';
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import Tesseract from 'tesseract.js';
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//import ocr from "@paddlejs-models/ocr";
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import { library } from '@fortawesome/fontawesome-svg-core';
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import { faCheck, faRedo } from '@fortawesome/free-solid-svg-icons';
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@ -98,7 +104,7 @@ export default defineComponent({
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const startOCR = () => {
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hasValidWeight.value = false;
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weight.value = t('entity.action.weightReader.initializing');
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weight.value = t('entity.action.weightReader.reading');
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ocrInterval.value = window.setInterval(() => {
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captureFrame();
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}, 2000);
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@ -110,13 +116,43 @@ export default defineComponent({
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const ctx = canvas.value.getContext('2d');
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if (!ctx) return;
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canvas.value.width = video.value.videoWidth;
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canvas.value.height = video.value.videoHeight;
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// 设置画布大小为识别框大小
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canvas.value.width = 200; // 与capture-frame宽度相同
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canvas.value.height = 80; // 与capture-frame高度相同
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ctx.drawImage(video.value, 0, 0, canvas.value.width, canvas.value.height);
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// 计算视频中心区域的坐标
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const videoWidth = video.value.videoWidth;
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const videoHeight = video.value.videoHeight;
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const sourceX = (videoWidth - (200 * videoWidth) / video.value.offsetWidth) / 2;
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const sourceY = (videoHeight - (80 * videoHeight) / video.value.offsetHeight) / 2;
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const sourceWidth = (200 * videoWidth) / video.value.offsetWidth;
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const sourceHeight = (80 * videoHeight) / video.value.offsetHeight;
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// 只截取中心区域绘制到画布上
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ctx.drawImage(video.value, sourceX, sourceY, sourceWidth, sourceHeight, 0, 0, canvas.value.width, canvas.value.height);
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const imageData = canvas.value.toDataURL('image/jpeg');
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/*
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const result = await ocr.recognize(imageData);
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console.log("OCR 识别结果:", result);
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const numberMatch = result.text.match(/\d+\.\d+/); // 只提取数字
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if (numberMatch && numberMatch.length > 0) {
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const weightValue = numberMatch.reduce((max, current) => {
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return parseFloat(current) > parseFloat(max) ? current : max;
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}, '0');
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if (parseFloat(weightValue) > 0) {
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weight.value = weightValue;
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//emit('weight', weightValue);
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if (ocrInterval.value) {
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window.clearInterval(ocrInterval.value);
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ocrInterval.value = null;
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hasValidWeight.value = true;
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}
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}
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}
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*/
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Tesseract.recognize(imageData, 'eng', {
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logger: m => {},
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})
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@ -155,6 +191,7 @@ export default defineComponent({
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onMounted(() => {
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video.value = document.querySelector('video');
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canvas.value = document.querySelector('canvas');
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//await ocr.loadModel(); // 预加载 Paddle.js OCR 模型
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startCamera();
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});
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@ -185,12 +222,45 @@ export default defineComponent({
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text-align: center;
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}
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.camera-view {
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position: relative;
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width: 100%;
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max-height: 300px;
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margin-bottom: 10px;
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}
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video {
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width: 100%;
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max-height: 300px;
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border: 2px solid #ddd;
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border-radius: 8px;
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margin-bottom: 10px;
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}
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.overlay {
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position: absolute;
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top: 0;
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left: 0;
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width: 100%;
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height: 100%;
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background: rgba(0, 0, 0, 0.5);
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display: flex;
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justify-content: center;
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align-items: center;
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mask:
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linear-gradient(#000 0 0) center/200px 80px no-repeat,
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linear-gradient(#000 0 0);
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mask-composite: exclude;
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-webkit-mask:
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linear-gradient(#000 0 0) center/200px 80px no-repeat,
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linear-gradient(#000 0 0);
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-webkit-mask-composite: xor;
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}
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.capture-frame {
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width: 200px;
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height: 80px;
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border: 2px solid #ff0000;
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background: transparent;
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}
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.weight-result {
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@ -101,6 +101,12 @@
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</tbody>
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</table>
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</div>
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<div class="signature-row">
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<div class="signature-item">
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<span class="signature-label">接收日期:</span>
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<div class="signature-line"></div>
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</div>
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</div>
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</div>
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<!-- 签名区域 -->
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<div class="print-section signature-section">
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@ -152,8 +152,9 @@
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"select": "(选择)",
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"null": "(无)",
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"weightReader": {
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"initializing": "初始化中...",
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"realtime": "实时重量"
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"initializing": "初始化...",
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"reading": "扫描中...",
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"realtime": "识别值"
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},
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"camera": {
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"open": "打开相机",
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