const results = await visionClient.labelDetection(imageUri).safeSearchDetection(imageUri);
我正在尝试获得云视觉的图像响应。
发布于 2019-03-19 17:34:12
在0.21.0版本中是这样解决的
import * as vision from '@google-cloud/vision';
const visionClient = new vision.ImageAnnotatorClient();
const request = {
"image": {
"source": {
"imageUri": imageUri
}
},
"features": [
{
"type": "FACE_DETECTION"
},
{
"type": "LABEL_DETECTION"
},
{
"type": "SAFE_SEARCH_DETECTION"
},
{
"type": "WEB_DETECTION"
},
{
"type": "CROP_HINTS"
},
{
"type": "IMAGE_PROPERTIES"
},
{
"type": "DOCUMENT_TEXT_DETECTION"
},
{
"type": "TEXT_DETECTION"
},
{
"type": "LOGO_DETECTION"
},
{
"type": "LANDMARK_DETECTION"
},
{
"type": "TYPE_UNSPECIFIED"
},
// Other detection types here...
]
};
return await visionClient.annotateImage(request).then((res) => {
console.log(JSON.stringify(res));
});
发布于 2018-07-25 04:00:16
下面是HTTPS Cloud函数的代码示例,该函数将对存储在Firebase Storage中的图像执行OCR (即文本检测)。例如,您可以在将图像上传到Firebase存储(在gs://myproject.com/imgtoocr/
存储桶中)之后,通过在HTTP请求正文中传递图像名称,从应用程序中调用它。
....
const vision = require('@google-cloud/vision');
const client = new vision.ImageAnnotatorClient();
exports.imageOCR = functions.https.onRequest((req, res) => {
cors(req, res, () => {
const imageFilename = req.body.imageFilename;
let result;
return client
.documentTextDetection(
'gs://myproject.com/imgtoocr/' + imageFilename
)
.then(results => {
const blocks = results[0].fullTextAnnotation.pages[0].blocks;
blocks.forEach(blockDetail => {
blockDetail.paragraphs.forEach(paragraph => {
//Here you build the result you want to send back
});
});
return {
result: result
};
})
.then(ocrResult => {
return res.status(200).json(ocrResult);
})
.catch(err => {
console.error('ERROR:', err);
res.status(400).send(err);
});
});
});
您可以在node.js的以下文档中找到更多信息和示例(特别是标签检测):
https://cloud.google.com/vision/docs/ocr-tutorial
https://cloud.google.com/vision/docs/detecting-labels
https://cloud.google.com/nodejs/docs/reference/vision/0.19.x/
https://stackoverflow.com/questions/51505604
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