面对与API的NodeJS
我使用的蔚蓝脸API使用节点JS,下面是代码。但是,而不是图像的托管一些,我想用我的本地图像和张贴。我尝试了不同的选择,但它不能识别的图像格式或图片网址无效
以下是我已经尝试的事情
1) var stream = fs.createReadStream('local image url');
2) var imageAsBase64 = fs.readFileSync('image.jpg','base64');
下面是代码
'use strict';
const request = require('request');
// Replace <Subscription Key> with your valid subscription key.
const subscriptionKey = '<Subscription Key>';
// You must use the same location in your REST call as you used to get your
// subscription keys. For example, if you got your subscription keys from
// westus, replace "westcentralus" in the URL below with "westus".
const uriBase = '.0/detect';
const imageUrl =
'.jpg';
// Request parameters.
const params = {
'returnFaceId': 'true',
'returnFaceLandmarks': 'false',
'returnFaceAttributes': 'age,gender,headPose,smile,facialHair,glasses,' +
'emotion,hair,makeup,occlusion,accessories,blur,exposure,noise'
};
const options = {
uri: uriBase,
qs: params,
// body: '{"url": ' + '"' + imageUrl + '"}',
//body: stream,
body:imageAsBase64,
headers: {
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key' : subscriptionKey
}
};
request.post(options, (error, response, body) => {
if (error) {
console.log('Error: ', error);
return;
}
let jsonResponse = JSON.stringify(JSON.parse(body), null, ' ');
console.log('JSON Response\n');
console.log(jsonResponse);
});
回答如下:
我这个发挥各地,得到了下面的代码工作,你实际上是超接近得到它去。最主要的是到Buffer对象传递到POST请求的主体字段,和指定正确的内容类型报头。
'use strict';
const request = require('request');
const fs = require("fs");
// Replace <Subscription Key> with your valid subscription key.
const subscriptionKey = <Subscription Key> ;
const uriBase = 'https://westcentralus.api.cognitive.microsoft/face/v1.0/detect';
const imageBuffer = fs.readFileSync('image.jpg');
// Request parameters.
const params = {
'returnFaceId': 'true',
'returnFaceLandmarks': 'false',
'returnFaceAttributes': 'age,gender,headPose,smile,facialHair,glasses,' +
'emotion,hair,makeup,occlusion,accessories,blur,exposure,noise'
};
const options = {
uri: uriBase,
qs: params,
body: imageBuffer,
headers: {
'Content-Type': 'application/octet-stream',
'Ocp-Apim-Subscription-Key' : subscriptionKey
}
};
request.post(options, (error, response, body) => {
if (error) {
console.log('Error: ', error);
return;
}
let jsonResponse = JSON.stringify(JSON.parse(body), null, ' ');
console.log('JSON Response\n');
console.log(jsonResponse);
});
面对与API的NodeJS
我使用的蔚蓝脸API使用节点JS,下面是代码。但是,而不是图像的托管一些,我想用我的本地图像和张贴。我尝试了不同的选择,但它不能识别的图像格式或图片网址无效
以下是我已经尝试的事情
1) var stream = fs.createReadStream('local image url');
2) var imageAsBase64 = fs.readFileSync('image.jpg','base64');
下面是代码
'use strict';
const request = require('request');
// Replace <Subscription Key> with your valid subscription key.
const subscriptionKey = '<Subscription Key>';
// You must use the same location in your REST call as you used to get your
// subscription keys. For example, if you got your subscription keys from
// westus, replace "westcentralus" in the URL below with "westus".
const uriBase = '.0/detect';
const imageUrl =
'.jpg';
// Request parameters.
const params = {
'returnFaceId': 'true',
'returnFaceLandmarks': 'false',
'returnFaceAttributes': 'age,gender,headPose,smile,facialHair,glasses,' +
'emotion,hair,makeup,occlusion,accessories,blur,exposure,noise'
};
const options = {
uri: uriBase,
qs: params,
// body: '{"url": ' + '"' + imageUrl + '"}',
//body: stream,
body:imageAsBase64,
headers: {
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key' : subscriptionKey
}
};
request.post(options, (error, response, body) => {
if (error) {
console.log('Error: ', error);
return;
}
let jsonResponse = JSON.stringify(JSON.parse(body), null, ' ');
console.log('JSON Response\n');
console.log(jsonResponse);
});
回答如下:
我这个发挥各地,得到了下面的代码工作,你实际上是超接近得到它去。最主要的是到Buffer对象传递到POST请求的主体字段,和指定正确的内容类型报头。
'use strict';
const request = require('request');
const fs = require("fs");
// Replace <Subscription Key> with your valid subscription key.
const subscriptionKey = <Subscription Key> ;
const uriBase = 'https://westcentralus.api.cognitive.microsoft/face/v1.0/detect';
const imageBuffer = fs.readFileSync('image.jpg');
// Request parameters.
const params = {
'returnFaceId': 'true',
'returnFaceLandmarks': 'false',
'returnFaceAttributes': 'age,gender,headPose,smile,facialHair,glasses,' +
'emotion,hair,makeup,occlusion,accessories,blur,exposure,noise'
};
const options = {
uri: uriBase,
qs: params,
body: imageBuffer,
headers: {
'Content-Type': 'application/octet-stream',
'Ocp-Apim-Subscription-Key' : subscriptionKey
}
};
request.post(options, (error, response, body) => {
if (error) {
console.log('Error: ', error);
return;
}
let jsonResponse = JSON.stringify(JSON.parse(body), null, ' ');
console.log('JSON Response\n');
console.log(jsonResponse);
});