private bool isBabyYiNing = false; //不跑小马的代码
/// <summary>
/// 拼图回调函数，用于执行界面更新
/// </summary>
/// <param name="end"></param>
/// <param name="isFront"></param>
/// <param name="bitmap"></param>
/// <param name="rect"></param>
/// <param name="scale"></param>
/// <returns></returns>
public int doStitchCallBack(bool isEnd, OneStitchSidePcb oneStitchSidePcb, OneStitchSidePcb.BitmapInfo bitmapInfo, RectangleF scaleRect)
{
Console.WriteLine("doStitchCallBack");
//bool end, bool isFront, Bitmap bitmap, RectangleF rect
//if (InvokeRequired)
//{
// // If called from a different thread, we must use the Invoke method to marshal the call to the proper GUI thread.
// // The grab result will be disposed after the event call. Clone the event arguments for marshaling to the GUI thread.
// BeginInvoke(new StitchCallBack(doStitchCallBack), isEnd, oneStitchSidePcb, bitmapInfo, scaleRect);
// return 0;
//}
Rectangle scaleR = new Rectangle(Convert.ToInt32(scaleRect.X),
Convert.ToInt32(scaleRect.Y),
Convert.ToInt32(scaleRect.Width),
Convert.ToInt32(scaleRect.Height));
aiDetect(oneStitchSidePcb.zTrajectory,
bitmapInfo,
scaleR,
oneStitchSidePcb.scale,
oneStitchSidePcb.confidence,
oneStitchSidePcb.savePath);
return(1);
}
/// <summary>
/// AI大图检测
/// </summary>
/// <param name="isFront">是否是正面</param>
/// <param name="bitmapInfo">图片信息</param>
/// <param name="scaleRect">已经缩放的矩形框在缩放大图的位置</param>
/// <param name="scale">缩放的尺度</param>
/// <param name="confidence">置信度</param>
/// <param name="savePath">图像保存地址</param>
public void aiDetect(bool isFront, OneStitchSidePcb.BitmapInfo bitmapInfo, Rectangle scaleRect, double scale, float confidence, string savePath)
{
//Console.WriteLine(allDetectNum);
MySmartThreadPool.InstanceSmall().QueueWorkItem((name, bmp) =>
{
try
{
bbox_t_container boxlist = new bbox_t_container();
using (MemoryStream stream = new MemoryStream())
{
bmp.Save(stream, ImageFormat.Jpeg);
byte[] byteImg = new byte[stream.Length];
stream.Seek(0, SeekOrigin.Begin);
stream.Read(byteImg, 0, Convert.ToInt32(stream.Length));
int n = -1;
lock (detectKey)
{
n = AITestSDK.detect_opencv_mat(byteImg, byteImg.Length, ref boxlist, confidence);
}
if (n == -1)
{
Console.WriteLine("AI调用失败");
}
else
{
resultJoin(name, isFront, scale, scaleRect, boxlist, new List <string>()
{
"NG"
}, new Point(0, 0));
}
}
}
catch (Exception er) { }
finally
{
bmp.Dispose();
allDetectNum++;
aiDone(savePath);
}
//最总检测的结果还是放在这里发送吧
}, bitmapInfo.name, (Bitmap)bitmapInfo.bitmap.Clone());
}
