Qt+百度AI接口人脸识别小示例

#include "widget.h" #include "ui_widget.h" Widget::Widget(QWidget *parent) : QWidget(parent), ui(new Ui::Widget) { ui->setupUi(this); requestUrl = "https://aip.baidubce.com/rest/2.0/face/v3/detect"; //这里更换为自己的Access Token,每个Access Token的有效期为30天 accessToken = "24.3032d8e3f41f4b16f1e682e55ec0547a.2592000.1536916431.282335-11676799"; imgPath = ""; manager = new QNetworkAccessManager(this); connect(manager, SIGNAL(finished(QNetworkReply*)), this, SLOT(replyFinished(QNetworkReply*))); } Widget::~Widget() { delete ui; } void Widget::replyFinished(QNetworkReply *reply) { int statusCode = reply->attribute(QNetworkRequest::HttpStatusCodeAttribute).toInt(); if(200 != statusCode) { qDebug() << "Status code is error:" << statusCode; return; } replyData = reply->readAll(); qDebug()<<"reply data is:"<<QString(replyData); QJsonParseError json_error; QJsonDocument document = QJsonDocument::fromJson(replyData, &json_error); if(json_error.error == QJsonParseError::NoError) { //判断是否是对象,然后开始解析数据 if(document.isObject()) { QJsonObject obj = document.object(); //解析反馈的人脸属性结果 if(obj.contains("result")) { QJsonObject resultObj = obj.take("result").toObject(); //解析人脸个数 if(resultObj.contains("face_num")) { int faceNum = obj.take("face_num").toInt(); qDebug()<<"查询到了图片中的人脸个数为："<<faceNum; } //解析人脸属性 if(resultObj.contains("face_list")) { QJsonArray faceArray = resultObj.take("face_list").toArray(); for(int i = 0; i < faceArray.size(); i++) { QJsonObject faceObj = faceArray.at(i).toObject(); if(faceObj.contains("gender")) { QJsonObject genderObj = faceObj.take("gender").toObject(); if(genderObj.contains("type")) { QString type = genderObj.take("type").toString();; if(type == "male") { ui->lblSex->setText("男"); } else { ui->lblSex->setText("女"); } } } if(faceObj.contains("age")) { int age = faceObj.take("age").toDouble(); qDebug()<<"查询到了年龄："<<age; ui->lblAge->setText(QString::number(age)); } if(faceObj.contains("beauty")) { int beauty = faceObj.take("beauty").toDouble();; qDebug()<<"查询到了颜值："<<beauty; ui->lblBeauty->setText(QString::number(beauty)); } if(faceObj.contains("expression")) { QJsonObject expressionObj = faceObj.take("expression").toObject(); if(expressionObj.contains("type")) { QString type = expressionObj.take("type").toString();; if(type == "smile") { ui->lblFeature->setText("微笑"); } else if(type == "laugh") { ui->lblFeature->setText("大笑"); } else { ui->lblFeature->setText("不笑"); } } } } } } } } reply->deleteLater(); } void Widget::on_btnStartIdentify_clicked() { //设置请求地址 QUrl url(requestUrl + "?access_token=" + accessToken); QNetworkRequest request(url); //设置数据提交格式，这个不能自己随便写，每个平台的格式可能不一样，百度AI要求的格式为application/json request.setHeader(QNetworkRequest::ContentTypeHeader, QVariant("application/json")); //将要检测的图片进行BASE64编码 QImage image(imgPath); QByteArray ba; QBuffer buffer(&ba); buffer.open(QIODevice::WriteOnly); //以png格式将图片数据写入ba image.save(&buffer, "png"); //将图片进行BASE64编码 QString imgData = QString(ba.toBase64()); buffer.close(); //打包请求参数 QJsonObject post_data;; QJsonDocument document; post_data.insert("image", imgData); post_data.insert("image_type", "BASE64"); post_data.insert("face_field", "age,beauty,gender,expression"); document.setObject(post_data); QByteArray post_param = document.toJson(QJsonDocument::Compact); //发送请求 manager->post(request, post_param); } void Widget::on_openImgBtn_clicked() { ui->lblImg->clear(); ui->lblSex->clear(); ui->lblAge->clear(); ui->lblBeauty->clear(); ui->lblFeature->clear(); imgPath = QFileDialog::getOpenFileName(this, tr("Open Image"), "./", tr("Image files(*.jpg *.png *.jpeg);;All files (*.*)")); if(imgPath.isEmpty()) { QMessageBox msgBox; msgBox.warning(this,"警告","打开图片失败!"); return; } else { QImage img(imgPath); //保持长宽比进行缩放 img = img.scaled(ui->lblImg->width(), ui->lblImg->height(), Qt::KeepAspectRatio); ui->lblImg->setPixmap(QPixmap::fromImage(img)); } }