private void button1_Click(object sender, EventArgs e)
{
OpenFileDialog file = new OpenFileDialog();
file.InitialDirectory = ".";
file.Filter = "所有文件(*.*)|*.*";
file.ShowDialog();
filepath1 = file.FileName; //获得文件的绝对路径
if (filepath1 == null || filepath1 == "")
{
return;
}
pictureBox1.SizeMode = PictureBoxSizeMode.Zoom;
pictureBox1.Image = Image.FromFile(filepath1);
var image = File.ReadAllBytes(filepath1);
var result = client.BodyAnalysis(image);
var person_pix_arr = (JArray)result["person_info"];
var bmp = new Bitmap(pictureBox1.Image);
Graphics g = Graphics.FromImage(bmp);//创建一个画板
foreach (JObject person_pix in person_pix_arr)
{
foreach (var item in (JObject)person_pix["body_parts"])
{
var x = item.Value["x"];
var y = item.Value["y"];
g.DrawEllipse(new Pen(Color.Red, 5), Convert.ToInt32(x), Convert.ToInt32(y), 4, 4);
}
}
pictureBox1.Image = bmp;
}
public async Task <string> BodyDetect(string filePath)
{
return(await Task.Run(() =>
{
try
{
var image = File.ReadAllBytes(filePath);
// 调用通用文字识别, 图片参数为本地图片，可能会抛出网络等异常，请使用try/catch捕获
var result = _client.BodyAnalysis(image);
return result.ToString();
}
catch (Exception e)
{
_logger.LogError(null, e);
throw;
}
}));
}
/// <summary>
/// 百度AI识别从背景图截取出封面
/// </summary>
/// <param name="backdropPath">背景图</param>
/// <param name="config">用户配置</param>
/// <returns>处理完的新图像</returns>
private void GetCoverByAI(string backdropPath, string coverPath)
{
var image = File.ReadAllBytes(backdropPath);
var baseImg = Image.FromFile(backdropPath);
var width = (int)(baseImg.Height * 0.7029702970297);
var tempImage = new Bitmap(width, baseImg.Height);
try
{
var left = 0;
var client = new Baidu.Aip.BodyAnalysis.Body(config.BD_API_KEY, config.BD_SECRET_KEY)
{
Timeout = 60000
};
var result = client.BodyAnalysis(image);
List <Person> personList = new List <Person>();
if (result["person_num"] != null)
{
var person_num = int.Parse(result["person_num"].ToString());
for (int i = 0; i < person_num; i++)
{
var person = new Person();
person.Left = double.Parse(result["person_info"][i]["location"]["left"].ToString());
person.Top = double.Parse(result["person_info"][i]["location"]["top"].ToString());
person.Width = double.Parse(result["person_info"][i]["location"]["width"].ToString());
person.Height = double.Parse(result["person_info"][i]["location"]["height"].ToString());
person.Score = double.Parse(result["person_info"][i]["location"]["score"].ToString());
//过滤哪些不靠谱的人物
if (person.Width >= 100 && person.Height >= 100 && person.Score > config.AIScore)
{
person.NoseX = double.Parse(result["person_info"][i]["body_parts"]["nose"]["x"].ToString());
personList.Add(person);
}
}
if (personList.Count == 0)
{
Log.Save($"人物识别准确度太高，请适当降低");
}
}
//没有找到人脸
if (personList.Count == 0)
{
left = 0;
}
else if (personList.Count == 1)
{
//左边距离够
if (personList[0].NoseX - width / 2 >= 0)
{
if (personList[0].NoseX - width / 2 + width <= baseImg.Width)
{
left = (int)(personList[0].NoseX - width / 2);
}
else
{
left = baseImg.Width - width;
}
}
else
{
left = 0;
}
}
else if (personList.Count == 2)
{
//两个人物离的近
if (width - Math.Abs(personList[1].NoseX - personList[0].NoseX) >= width / 2)
{
left = (baseImg.Width - width) / 2;
}
else
{
double noseX = 0;
//比较谁的面积大
if (personList[1].Width * personList[1].Height > personList[0].Width * personList[0].Height)
{
noseX = personList[1].NoseX;
}
else
{
noseX = personList[0].NoseX;
}
//左边距离够
if (noseX - width / 2 >= 0)
{
if (noseX - width / 2 + width <= baseImg.Width)
{
left = (int)(noseX - width / 2);
}
else
{
left = baseImg.Width - width;
}
}
else
{
left = 0;
}
}
}
else if (personList.Count > 2)
{
//如果多于2个人
if (personList.Count > 10)
{
//多数情况下是影片左边缩略详情图，还是取右边做封面
if (baseImg.Width / 2 > width)
{
left = baseImg.Width / 2 + (baseImg.Width / 2 - width) / 2;
}
else
{
left = (baseImg.Width - width) / 2;
}
}
else
{
personList.Sort((x, y) => x.Score.CompareTo(y.Score));
//排序后取中间人脸的坐标计算
var noseX = personList[personList.Count - 1].NoseX;
//左边距离够
if (noseX - width / 2 >= 0)
{
if (noseX - width / 2 + width <= baseImg.Width)
{
left = (int)(noseX - width / 2);
}
else
{
left = baseImg.Width - width;
}
}
else
{
left = 0;
}
}
}
using (Graphics g = Graphics.FromImage(tempImage))
{
g.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.High;
g.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighQuality;
g.Clear(Color.White);
g.DrawImage(baseImg, new Rectangle(0, 0, tempImage.Width, tempImage.Height), new Rectangle(left, 0, width, baseImg.Height), GraphicsUnit.Pixel);
tempImage.Save(coverPath, ImageFormat.Png);
}
}
catch (Exception e)
{
throw e;
}
finally
{
baseImg.Dispose();
tempImage.Dispose();
}
}