线程阻塞

This commit is contained in:
tanglong 2025-09-25 17:21:54 +08:00
parent 1b66fae16c
commit 9a646dbb3c

View File

@ -1,6 +1,7 @@
 
using Microsoft.ML.Runtime; using Microsoft.ML.Runtime;
using System; using System;
using System.Collections.Concurrent;
using System.Collections.Generic; using System.Collections.Generic;
using System.Collections.ObjectModel; using System.Collections.ObjectModel;
using System.ComponentModel; using System.ComponentModel;
@ -36,7 +37,8 @@ namespace Wpf_AiSportsMicrospace
private SportBase _sport; private SportBase _sport;
private readonly SportDetectionQueue _detectQueue; private readonly SportDetectionQueue _detectQueue;
private WebcamClient _webcamClient; private WebcamClient _webcamClient;
private ConcurrentQueue<VideoFrame> _frameQueue = new();
private CancellationTokenSource _cts = new();
private SportOperate _sportOperate; private SportOperate _sportOperate;
public Home() public Home()
@ -76,88 +78,96 @@ namespace Wpf_AiSportsMicrospace
_sportOperate = new SportOperate(); _sportOperate = new SportOperate();
_webcamClient = _sportOperate.CreateRTSP(); _webcamClient = _sportOperate.CreateRTSP();
//处理抽帧回调 _webcamClient.OnExtractFrame += frame =>
_webcamClient.OnExtractFrame += this.OnFrameExtracted; {
_webcamClient.StartExtract();//开始抽帧 if (frame != null)
_frameQueue.Enqueue(frame);
};
_webcamClient.StartExtract();
StartFrameProcessing();
} }
private void OnFrameExtracted(VideoFrame frame) private void StartFrameProcessing()
{ {
if (frame == null) return;
// 抽帧和人体识别全部在后台线程
Task.Run(() => Task.Run(() =>
{ {
try while (!_cts.Token.IsCancellationRequested)
{ {
var buffer = frame.GetImageBuffer(ImageFormat.Jpeg).ToArray(); if (_frameQueue.TryDequeue(out var frame))
var humanResult = _humanPredictor.Predicting(buffer, frame.Number);
var humans = humanResult?.Humans?.ToList();
if (humans == null || humans.Count == 0)
return;
//var human = humans
// .Where(h =>
// h.Keypoints.Any(kp => kp.Name == "left_ankle" && kp.X < 1020 && kp.Y > 900 && kp.Y < 1020) &&
// h.Keypoints.Any(kp => kp.Name == "right_ankle" && kp.X > 750 && kp.Y > 900 && kp.Y < 1020)
// )
// .FirstOrDefault();
var human = humans.FirstOrDefault();
if (human == null) return;
// 启动进度条动画;
//SlideCoverFlow(coverFlow.StartSelectedProgress);
////检测挥手动作
//var wavingAction = _sportOperate.VerifyWavingAction(human);
//// 根据手势结果选择滑动方向
//if (wavingAction == 1)
//{
// SlideCoverFlow(coverFlow.SlideRight);
// return;
//}
//if (wavingAction == 2)
//{
// SlideCoverFlow(coverFlow.SlideLeft);
// return;
//}
//检测举手动作
var liftHandAction = _sportOperate.VerifyLiftHandAction(human);
// 根据手势结果
if (liftHandAction == 1)
{ {
// 启动进度条动画; ProcessFrame(frame);
SlideCoverFlow(coverFlow.StartSelectedProgress); }
return; else
{
Thread.Sleep(5);
} }
} }
catch (Exception ex) }, _cts.Token);
{
Console.WriteLine("OnFrameExtracted error: " + ex.Message);
}
});
} }
// 抽象 UI 更新到方法中
private void SlideCoverFlow(Action slideAction) private void ProcessFrame(VideoFrame frame)
{ {
Application.Current?.Dispatcher?.BeginInvoke(new Action(() => try
{ {
try var buffer = frame.GetImageBuffer(ImageFormat.Jpeg).ToArray();
var humanResult = _humanPredictor.Predicting(buffer, frame.Number);
var humans = humanResult?.Humans?.ToList();
if (humans == null || humans.Count == 0)
return;
//var human = humans
// .Where(h =>
// h.Keypoints.Any(kp => kp.Name == "left_ankle" && kp.X < 1020 && kp.Y > 900 && kp.Y < 1020) &&
// h.Keypoints.Any(kp => kp.Name == "right_ankle" && kp.X > 750 && kp.Y > 900 && kp.Y < 1020)
// )
// .FirstOrDefault();
var human = humans.FirstOrDefault();
if (human == null) return;
// 启动进度条动画;
//SlideCoverFlow(coverFlow.StartSelectedProgress);
////检测挥手动作
//var wavingAction = _sportOperate.VerifyWavingAction(human);
//// 根据手势结果选择滑动方向
//if (wavingAction == 1)
//{
// SlideCoverFlow(coverFlow.SlideRight);
// return;
//}
//if (wavingAction == 2)
//{
// SlideCoverFlow(coverFlow.SlideLeft);
// return;
//}
//检测举手动作
var liftHandAction = _sportOperate.VerifyLiftHandAction(human);
// 根据手势结果
if (liftHandAction == 1)
{ {
slideAction?.Invoke(); // 启动进度条动画;
Dispatcher.BeginInvoke(() => coverFlow.StartSelectedProgress());
} }
catch (Exception ex) }
{ catch (Exception ex)
Console.WriteLine("UI update error: " + ex.Message); {
} Console.WriteLine("OnFrameExtracted error: " + ex.Message);
}), System.Windows.Threading.DispatcherPriority.Background); }
}
protected override void OnClosed(EventArgs e)
{
base.OnClosed(e);
_cts.Cancel();
_webcamClient?.StopExtract();
} }
} }
} }