开发者您好:
【解决方案】
请问您的具体使用场景是什么呢?是否使用的是textRecognition.recognizeText,如果是的话,该接口返回了blocks: Array<TextBlock>,里面包含了识别块的坐标和具体内容,可以参考类似代码实现,如果不满足的烦请反馈。参考代码如下,遍历返回结果,定义字符,通过计算定位来动态拼接最终结果:
import { textRecognition } from '@kit.CoreVisionKit';
import { image } from '@kit.ImageKit';
import { hilog } from '@kit.PerformanceAnalysisKit';
import { BusinessError } from '@kit.BasicServicesKit';
import { fileIo } from '@kit.CoreFileKit';
import { photoAccessHelper } from '@kit.MediaLibraryKit';
@Entry
@Component
struct Index {
private imageSource: image.ImageSource | undefined = undefined;
@State chooseImage: PixelMap | undefined = undefined;
@State dataValues: string = '';
async aboutToAppear(): Promise<void> {
const initResult = await textRecognition.init();
hilog.info(0x0000, 'OCRDemo', `OCR service initialization result:${initResult}`);
}
async aboutToDisappear(): Promise<void> {
await textRecognition.release();
hilog.info(0x0000, 'OCRDemo', 'OCR service released successfully');
}
build() {
Column() {
Image(this.chooseImage)
.objectFit(ImageFit.Fill)
.height('60%');
Scroll() {
Text(this.dataValues)
.copyOption(CopyOptions.LocalDevice)
.margin(10);
}
.height(200);
Button('选择图片')
.type(ButtonType.Capsule)
.fontColor(Color.White)
.alignSelf(ItemAlign.Center)
.width('80%')
.margin(10)
.onClick(() => {
// 拉起图库,获取图片资源
void this.selectImage();
});
Button('开始识别')
.type(ButtonType.Capsule)
.fontColor(Color.White)
.alignSelf(ItemAlign.Center)
.width('80%')
.margin(10)
.onClick(() => {
this.textRecognitionTest();
});
}
.width('100%')
.height('100%')
.justifyContent(FlexAlign.Center);
}
private textRecognitionTest() {
if (!this.chooseImage) {
return;
}
// 调用文本识别接口
let visionInfo: textRecognition.VisionInfo = {
pixelMap: this.chooseImage
};
let textConfiguration: textRecognition.TextRecognitionConfiguration = {
isDirectionDetectionSupported: false
};
textRecognition.recognizeText(visionInfo, textConfiguration)
.then((data: textRecognition.TextRecognitionResult) => {
// 识别成功,获取对应的结果
let recognitionString = JSON.stringify(data);
hilog.info(0x0000, 'OCRDemo', `Succeeded in recognizing text: ${recognitionString}`);
let finalString = '';
data.blocks.forEach((block, index) => {
const item = block.lines[0];
const label = item.value;
const points = item.cornerPoints;
if (index == 0) {
// 计算距离左边多少宽度
const left = points[0].x;
const spaceCount = Math.round(left / 30);
finalString += ' '.repeat(spaceCount);
finalString += label;
} else {
// 判断是否在一行
const current = points;
const prev = data.blocks[index-1].lines[0].cornerPoints;
if ((current[0].y - prev[3].y) > 30) {
// 不在一行加换行符
const left = points[0].x;
const spaceCount = Math.round(left / 30);
finalString += '\n';
finalString += ' '.repeat(spaceCount);
finalString += label;
} else {
const left = Math.abs(current[0].x - prev[0].x);
const spaceCount = Math.round(left / 30);
finalString += ' '.repeat(spaceCount);
finalString += label;
}
}
});
this.dataValues = finalString;
})
.catch((error: BusinessError) => {
hilog.error(0x0000, 'OCRDemo', `Failed to recognize text. Code: ${error.code}, message: ${error.message}`);
this.dataValues = `Error: ${error.message}`;
});
}
private async selectImage() {
let uri = await this.openPhoto();
if (uri === undefined) {
hilog.error(0x0000, 'OCRDemo', 'Failed to get uri.');
return;
}
this.loadImage(uri);
}
private async openPhoto(): Promise<string> {
return new Promise<string>((resolve) => {
let photoPicker: photoAccessHelper.PhotoViewPicker = new photoAccessHelper.PhotoViewPicker();
photoPicker.select({
MIMEType: photoAccessHelper.PhotoViewMIMETypes.IMAGE_TYPE,
maxSelectNumber: 1
}).then((res: photoAccessHelper.PhotoSelectResult) => {
resolve(res.photoUris[0]);
}).catch((err: BusinessError) => {
hilog.error(0x0000, 'OCRDemo', `Failed to get photo image uri. code: ${err.code}, message: ${err.message}`);
resolve('');
});
});
}
private loadImage(name: string) {
setTimeout(async () => {
try {
let fileSource = await fileIo.open(name, fileIo.OpenMode.READ_ONLY);
this.imageSource = image.createImageSource(fileSource.fd);
this.chooseImage = await this.imageSource.createPixelMap();
await fileIo.close(fileSource);
} catch (error) {
hilog.error(0x0000, 'OCRDemo', `Failed to open file. Error: ${error}`);
}
}, 100);
}
}
【背景知识】
TextRecognitionResult:textRecognition(文字识别)-ArkTS API-Core Vision Kit(基础视觉服务)-AI - 华为HarmonyOS开发者。