這個機器學習服務的文檔: https://help.sap.com/viewer/b04a8fe9c04745b98ad8652ccd5d636f/1907B/en-US/d6fee2fd184d48d5b221928a8db4c2fd.html?q=Customizable%20Image%20Feature%20Extraction 測試控制台:
![](https://img.laitimes.com/img/9ZDMuAjOiMmIsIjOiQnIsIyZuBnLxcTYhBTMkRzNiBTYtcjN2gTL5UWMx0yNyQzYtADO3EzNwEGOtkTNxETM0MjNvwFN1kTO2YTNvwVbvNmL05WZ052bjJXZzVnY1hGdpdmLzV2Zh1WatIXZzV3Lc9CX6MHc0RHaiojIsJye.png)
輸入是任意一個圖檔檔案,
輸出是一串特征矩陣,如下圖所示:
var app = require('express')();
var server = require('http').Server(app);
var request = require('request');
var defaultPort = 8081;
const fs = require('fs');
var port = process.env.PORT || defaultPort;
console.log("Server listens on port: " + port);
server.listen(port);
function print_env(){
console.log(process.env);
}
app.get('/', function (req, res) {
res.header("Access-Control-Allow-Origin", "*");
var response = "Hello World: " + port;
callFeatureExtractionAPI();
res.send(response);
});
app.get('/env', function (req, res) {
print_env();
// res.sendFile(__dirname + '/index.html');
var response = JSON.stringify(process.env);
res.send(response);
});
function callFeatureExtractionAPI() {
var url = "https://mlfproduction-image-feature-extractor.cfapps.eu10.hana.ondemand.com/api/v2/image/feature-extraction";
var api = "eyKXPuZf__ANtBqpk";
var oRequestOptions = {
url: url,
method: "POST",
json:true,
formData: {
files: fs.createReadStream("./1.png")
},
headers: {
"Authorization": "Bearer " + api
}
};
return new Promise(function(resolve,reject){
var requestC = request.defaults({jar: true});
console.log("Step1: get picture feature via url: " + url );
requestC(oRequestOptions,function(error,response,body){
if(error){
console.log("error occurred: " + error);
reject(error);
}
debugger;
console.log("Body:" + body);
console.log("response: " + response);
resolve(body);
});
});
}
本文來自雲栖社群合作夥伴“汪子熙”,了解相關資訊可以關注微信公衆号"汪子熙"。