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esearch-ocr

paddleocr models run on onnx

  • 5.1.5
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eSearch-OCR

本仓库是 eSearch的 OCR 服务依赖

支持本地 OCR(基于 PaddleOCR

PaddleOCR License

paddle 预测库

基于onnxruntime的 web runtime,使用 wasm 运行,未来可能使用 webgl 甚至是 webgpu。

模型需要转换为 onnx 才能使用:Paddle2ONNX在线转换

部分模型已打包:Releases

在 js 文件下可以使用 electron 进行调试

使用

npm i esearch-ocr onnxruntime-web

web

import * as ocr from "esearch-ocr";
import * as ort from "onnxruntime-web";
const ocr = require("esearch-ocr");
const ort = require("onnxruntime-node");

[!IMPORTANT] 需要手动安装 onnxruntime(onnxruntime-node 或 onnxruntime-web,视平台而定),并在init参数中传入ort 这样设计是因为 web 和 electron 可以使用不同的 ort,很难协调,不如让开发者自己决定

浏览器或 Electron 示例

await ocr.init({
    detPath: "ocr/det.onnx",
    recPath: "ocr/rec.onnx",
    dic: "abcdefg...",
    ort,
});

const url = "data:image/png;base64,...";
ocr.ocr(url)
    .then((l) => {})
    .catch((e) => {});

或者

const localOCR = await ocr.init({
    detPath: "ocr/det.onnx",
    recPath: "ocr/rec.onnx",
    dic: "abcdefg...",
    ort,
});

localOCR.ocr(/*像上面ocr.ocr一样调用*/);

这在需要多次运行 ocr 时非常有用

node.js 示例,需要安装canvas

演示项目

init type

{
    ort: typeof import("onnxruntime-web");
    detPath: string;
    recPath: string;
    dic: string; // 文件内容,不是路径
    dev?: boolean;
    maxSide?: number;
    imgh?: number;
    imgw?: number;
    detShape?: [number, number]; // ppocr v3 需要指定为[960, 960], v4 为[640, 640]
    canvas?: (w: number, h: number) => any; // 用于node
    imageData?: any; // 用于node
    cv?: any;
}

ocr type

type PointType = [number, number]
ocr(img: ImageData): Promise<{
    text: string;
    mean: number;
    box: [PointType, PointType, PointType, PointType]; // ↖ ↗ ↘ ↙
}[]>

除了 ocr 函数,还有det函数,可单独运行,检测文字坐标;rec函数,可单独运行,检测文字内容。具体定义可看编辑器提示

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Package last updated on 16 Oct 2024

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