我正在尝试从上传的图像中检测面部情绪。我似乎找不到任何用于情绪检测的示例代码。
我找到了这个
https://docs.microsoft.com/en-us/azure/cognitive-services/emotion/quickstarts/javascript
但 url 端点不起作用。然后我尝试了常规的人脸 api，但即使我得到了resource not found.
有谁知道发生了什么？
谢谢
var FACE = new function () {
this.listen = function() {
var camera = document.getElementById('camera');
camera.addEventListener('change', function(e) {
var imageFile = e.target.files[0];
var reader = new FileReader();
var fileType;
//wire up the listener for the async 'loadend' event
reader.addEventListener('loadend', function () {
//get the result of the async readAsArrayBuffer call
var fileContentArrayBuffer = reader.result;
sendImage(fileContentArrayBuffer, fileType);
});
if (imageFile) {
//save the mime type of the file
fileType = imageFile.type;
//read the file asynchronously
reader.readAsArrayBuffer(imageFile);
}
});
function sendImage(fileContentArrayBuffer, fileType) {
$.ajax({
// NOTE: You must use the same location in your REST call as you used to obtain your subscription keys.
// For example, if you obtained your subscription keys from westcentralus, replace "westus" in the
// URL below with "westcentralus".
url: "https://westcentralus.api.cognitive.microsoft.com/face/v1.0/",
beforeSend: function(xhrObj){
// Request headers, also supports "application/octet-stream"
xhrObj.setRequestHeader("Content-Type","application/json");
// NOTE: Replace the "Ocp-Apim-Subscription-Key" value with a valid subscription key.
xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key","my key");
},
//don't forget this!
processData: false,
type: "POST",
// Request body
data: new Blob([fileContentArrayBuffer], { type: fileType })
}).done(function(data) {
alert(data);
// Get face rectangle dimensions
var faceRectangle = data[0].faceRectangle;
var faceRectangleList = $('#faceRectangle');
// Append to DOM
for (var prop in faceRectangle) {
faceRectangleList.append("<li> " + prop + ": " + faceRectangle[prop] + "</li>");
}
// Get emotion confidence scores
var scores = data[0].scores;
var scoresList = $('#scores');
// Append to DOM
for(var prop in scores) {
scoresList.append("<li> " + prop + ": " + scores[prop] + "</li>")
}
}).fail(function(err) {
alert("Error: " + JSON.stringify(err));
});
}
};
};