/// <summary>
/// 确定
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void buttonOK_Click(object sender, EventArgs e)
{
if (CheckIfIlleagal())
{
//处理图片转换为base64
string targetpath = FormMain.PicCachePath + "/" + textBoxUid.Text + ".jpg";
LocalImageHelp.CompressImage(UserFaceSource, targetpath);
string base64image = LocalImageHelp.Image2Base64str(targetpath);
FormMain.GetInstance().AddUser(textBoxBelongGroup.Text, textBoxName.Text, textBoxUid.Text, base64image, textBoxuserinfo.Text);
Dispose();
}
else
{
MessageBox.Show("请录入完整的数据", "警告", MessageBoxButtons.OK, MessageBoxIcon.Warning);
}
}
/// <summary>
/// *****************************核心方法 分类照片************************
/// </summary>
public void ClassifyPhotos()
{
string classifyGroups = string.Empty;
//构建分组字符串
for (int i = 0; i < FaceGroup.GroupList.Count; i++)
{
if (i != FaceGroup.GroupList.Count && i <= 10)
{
classifyGroups += FaceGroup.GroupList[i].id + ",";
}
else
{
classifyGroups += FaceGroup.GroupList[i].id;
}
}
//人脸查找参数
var searchoptions = new Dictionary <string, object> {
{ "max_user_num", 5 }
};
//人脸检测参数
var detectoptions = new Dictionary <string, object> {
{ "face_field", "age" },
{ "max_face_num", 10 },
{ "face_type", "LIVE" }
};
foreach (var folder in ChoosedFolderList)
{
if (!ClassifyCancelTokenSource.IsCancellationRequested)
{
//只寻找常见三种类型图片文件
FormProgress.setLabel("开始统计文件数量...");
string[] photos = Directory.GetFiles(folder, "*.*", SearchOption.AllDirectories).Where(t =>
(t.ToLower().EndsWith("jpg") || t.ToLower().EndsWith("png") || t.ToLower().EndsWith("bmp")))
.ToArray();
int nowphotocount = 0;
int totalphotocount = photos.Length;
foreach (var ppath in photos)
{
if (ClassifyCancelTokenSource.IsCancellationRequested)
{
statusLabelchange("任务取消!");
return;
}
FormProgress.setLabel($"开始进行照片分组,第{nowphotocount++}张,共{totalphotocount}张");
FormProgress.setProgress(nowphotocount, totalphotocount);
//构建缓存文件路径
string tmpphoto = PicCachePath + "\\" + ppath.Split('\\').Last();
//压缩图片
LocalImageHelp.CompressImage(ppath, tmpphoto);
//新建分类输出组名列表
List <string> classifyResultList = new List <string>();
string img64 = LocalImageHelp.Image2Base64str(tmpphoto);
//循环调用人脸检测接口 避免QPS超限
JObject detectresult;
while (true)
{
detectresult = BaiduAI.BaiduClient.Detect(img64, "BASE64", detectoptions);
if (!detectresult.CheckErrorCodeZero())
{
//code 222202 pic not has face
if (detectresult.GetErrorCode() == 222202)
{
//跳出当前照片的处理
goto outthisphoto;
}
Thread.Sleep(100);
}
else
{
break;
}
}
//人脸检测返回人脸信息列表
var detectFaceList = (JArray)((JObject)detectresult.GetValue("result")).GetValue("face_list");
foreach (var face in detectFaceList)
{
var faceJObject = (JObject)face; //转换为Json对象
double faceprobability = (double)faceJObject.GetValue("face_probability");
if (faceprobability > 0.7)
{
//如果人脸可能性大于0.6再进行人脸库查找
string facetoken = (string)faceJObject.GetValue("face_token");
//循环调用人脸查找接口 避免QPS超限
JObject searchresult;
while (true)
{
searchresult = BaiduAI.BaiduClient.Search(facetoken, "FACE_TOKEN", classifyGroups, searchoptions);
if (!searchresult.CheckErrorCodeZero())
{
Thread.Sleep(100);
}
else
{
break;
}
}
//进行人脸结果判断
JArray userlist =
(JArray)((JObject)searchresult.GetValue("result")).GetValue("user_list");
foreach (var user in userlist)
{
JObject userobj = user.ToObject <JObject>();
//获取得分
double score = userobj.GetValue("score").ToObject <double>();
//开始文件分类
if (score > 80)
{
string group_id = userobj.GetValue("group_id").ToString();
//如果该组不存在 则添加该组的名字
if (!classifyResultList.Contains(group_id))
{
classifyResultList.Add(group_id);
}
}
}
}
}
outthisphoto:
//如果没有一个得分在80以上
if (classifyResultList.Count == 0)
{
classifyResultList.Add("none");
}
//复制文件
CopyFile(ppath, classifyResultList);
}
}
else
{
return;
}
}
}