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tanglong 2025-11-17 10:02:42 +08:00
parent 1963f5d194
commit c2729dfac0
12 changed files with 204 additions and 5167 deletions
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sdks/Yunzhi.Library.xml
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sdks/Yztob.AiSports.Inferences.xml
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@ -52,7 +52,7 @@
单人检测-高精度，3D结构
</summary>
</member>
<member name="F:Yztob.AiSports.Inferences.Abstractions.HumanPredictorType.MultiFast">
<member name="F:Yztob.AiSports.Inferences.Abstractions.HumanPredictorType.MultiLow">
<summary>
多人检测-低精度低速率，2D结构
</summary>

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sdks/Yztob.AiSports.Postures.xml
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@ -6,7 +6,7 @@
<members>
<member name="T:Yztob.AiSports.Postures.Abstractions.ICalculator">
<summary>
人体姿态计算检测执行器
人体姿态检测规则执行计算器
</summary>
</member>
<member name="P:Yztob.AiSports.Postures.Abstractions.ICalculator.PointThreshold">
@ -727,6 +727,17 @@
一些扩展方法
</summary>
</member>
<member name="M:Yztob.AiSports.Postures.Extensions.GravityLine(Yztob.AiSports.Inferences.Things.Human)">
<summary>
获取当前<seealso cref="T:Yztob.AiSports.Inferences.Things.Human"/>的人体重力线
</summary>
<param name="human">要计算的人体</param>
<returns>
返回重力线的上、下起点
[0]-为线的上端点
[1]-为线的下端点
</returns>
</member>
<member name="M:Yztob.AiSports.Postures.Extensions.AsPointF(Yztob.AiSports.Inferences.Things.Keypoint)">
<summary>
以<paramref name="keypoint"/>坐标值转换成<seealso cref="T:System.Drawing.PointF"/>
@ -734,6 +745,13 @@
<param name="keypoint">要转换的关键点</param>
<returns></returns>
</member>
<member name="M:Yztob.AiSports.Postures.Extensions.ToCenterPoint(System.Collections.Generic.IEnumerable{Yztob.AiSports.Inferences.Things.Keypoint})">
<summary>
获取当前关键点集中的中心点位置
</summary>
<param name="keypoints">关键点集</param>
<returns></returns>
</member>
<member name="T:Yztob.AiSports.Postures.Implement.Calculator">
<summary>
人体姿态计算检测执行器
@ -1326,6 +1344,70 @@
</summary>
<returns></returns>
</member>
<member name="T:Yztob.AiSports.Postures.PostureUtility">
<summary>
姿态分析相关工具函数集
</summary>
</member>
<member name="M:Yztob.AiSports.Postures.PostureUtility.GetBodyKeyNameMaps">
<summary>
获取身体关键点键-名映射字典
</summary>
<returns></returns>
</member>
<member name="M:Yztob.AiSports.Postures.PostureUtility.GetCameraViewName(Yztob.AiSports.Postures.Things.CameraViews)">
<summary>
获取相机视角名称
</summary>
<param name="view">当前视角</param>
<returns></returns>
</member>
<member name="M:Yztob.AiSports.Postures.PostureUtility.Angle(System.Nullable{System.Drawing.PointF},System.Nullable{System.Drawing.PointF},System.Nullable{System.Drawing.PointF})">
<summary>
计算平面三个点的角度
</summary>
<param name="center">角度点</param>
<param name="second">上角点</param>
<param name="third">下角点</param>
<returns>
-1至少一个有一个坐标点是空的；否则返回计算角度；
</returns>
</member>
<member name="M:Yztob.AiSports.Postures.PostureUtility.Angle(Yztob.AiSports.Inferences.Things.Keypoint,Yztob.AiSports.Inferences.Things.Keypoint,Yztob.AiSports.Inferences.Things.Keypoint)">
<summary>
计算三个人体关键点角度
</summary>
<param name="center">角度人体关键点</param>
<param name="second">上角人体关键点</param>
<param name="third">下角人体关键点</param>
<returns>
计算后的角度
</returns>
</member>
<member name="M:Yztob.AiSports.Postures.PostureUtility.AssertAngle(System.Single,System.Single,System.Single)">
<summary>
断言<paramref name="angle"/>是否有<paramref name="expect"/>匹配
</summary>
<param name="angle">实际测量的角度</param>
<param name="expect">期望的角度</param>
<param name="offset">允许的偏差</param>
<returns></returns>
</member>
<member name="M:Yztob.AiSports.Postures.PostureUtility.IoU(Yztob.AiSports.Inferences.Things.BoundingBox,Yztob.AiSports.Inferences.Things.BoundingBox)">
<summary>
计算两个边界框的交并比
</summary>
<param name="box1">框1</param>
<param name="box2">框2</param>
<returns></returns>
</member>
<member name="M:Yztob.AiSports.Postures.PostureUtility.CenterPoint(System.Collections.Generic.IEnumerable{Yztob.AiSports.Inferences.Things.Keypoint})">
<summary>
计算多个关键点之间的中心点位置
</summary>
<param name="keypoints">关键点集</param>
<returns></returns>
</member>
<member name="T:Yztob.AiSports.Postures.Sports.CounterTicked">
<summary>
运动计数器计数变化委托
@ -1752,6 +1834,9 @@
获取或设置垫子长度，单位cm
</summary>
</member>
<member name="M:Yztob.AiSports.Postures.Sports.SportStandingLongJump.Pushing(Yztob.AiSports.Inferences.Things.Human)">
<inheritdoc />
</member>
<member name="M:Yztob.AiSports.Postures.Sports.SportStandingLongJump.Pushing(Yztob.AiSports.Inferences.Things.Human,System.Collections.Generic.IEnumerable{Yztob.AiSports.Inferences.Things.BoundingBox})">
<inheritdoc />
</member>
@ -2335,63 +2420,6 @@
<param name="trend">当前势</param>
<param name="isChanged">趋势是否变化</param>
</member>
<member name="T:Yztob.AiSports.Postures.Utility">
<summary>
姿态分析相关工具函数集
</summary>
</member>
<member name="M:Yztob.AiSports.Postures.Utility.GetBodyKeyNameMaps">
<summary>
获取身体关键点键-名映射字典
</summary>
<returns></returns>
</member>
<member name="M:Yztob.AiSports.Postures.Utility.GetCameraViewName(Yztob.AiSports.Postures.Things.CameraViews)">
<summary>
获取相机视角名称
</summary>
<param name="view">当前视角</param>
<returns></returns>
</member>
<member name="M:Yztob.AiSports.Postures.Utility.Angle(System.Nullable{System.Drawing.PointF},System.Nullable{System.Drawing.PointF},System.Nullable{System.Drawing.PointF})">
<summary>
计算平面三个点的角度
</summary>
<param name="center">角度点</param>
<param name="second">上角点</param>
<param name="third">下角点</param>
<returns>
-1至少一个有一个坐标点是空的；否则返回计算角度；
</returns>
</member>
<member name="M:Yztob.AiSports.Postures.Utility.Angle(Yztob.AiSports.Inferences.Things.Keypoint,Yztob.AiSports.Inferences.Things.Keypoint,Yztob.AiSports.Inferences.Things.Keypoint)">
<summary>
计算三个人体关键点角度
</summary>
<param name="center">角度人体关键点</param>
<param name="second">上角人体关键点</param>
<param name="third">下角人体关键点</param>
<returns>
计算后的角度
</returns>
</member>
<member name="M:Yztob.AiSports.Postures.Utility.AssertAngle(System.Single,System.Single,System.Single)">
<summary>
断言<paramref name="angle"/>是否有<paramref name="expect"/>匹配
</summary>
<param name="angle">实际测量的角度</param>
<param name="expect">期望的角度</param>
<param name="offset">允许的偏差</param>
<returns></returns>
</member>
<member name="M:Yztob.AiSports.Postures.Utility.IoU(Yztob.AiSports.Inferences.Things.BoundingBox,Yztob.AiSports.Inferences.Things.BoundingBox)">
<summary>
计算两个边界框的交并比
</summary>
<param name="box1">框1</param>
<param name="box2">框2</param>
<returns></returns>
</member>
<member name="T:Yztob.AiSports.Common.Licenses.FeatureCpuPartMap">
<summary>
表示受权机器CPU部件特性图

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sdks/Yztob.AiSports.Sensors.WinForm.dll
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sdks/Yztob.AiSports.Sensors.WinForm.xml
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@ -55,6 +55,11 @@
获取或设置自应用大小，保持同比缩放
</summary>
</member>
<member name="P:Yztob.AiSports.Sensors.WinForm.RTSPPreview.NumberDisplayed">
<summary>
获取或设置是否展示帧序号、帧率
</summary>
</member>
<member name="P:Yztob.AiSports.Sensors.WinForm.RTSPPreview.IsPlaying">
<summary>
获取当前是否正在播放
@ -75,9 +80,14 @@
获取当画面缩放后X轴的偏移量，即黑边大小
</summary>
</member>
<member name="P:Yztob.AiSports.Sensors.WinForm.RTSPPreview.Fps">
<summary>
获取或设置视频流拉取帧率
</summary>
</member>
<member name="P:Yztob.AiSports.Sensors.WinForm.RTSPPreview.OnExtracted">
<summary>
获取或设置抽帧响应
获取或设置抽帧响应，处理的是未解析的原始帧
</summary>
</member>
<member name="P:Yztob.AiSports.Sensors.WinForm.RTSPPreview.OnFrameProcessing">
@ -101,6 +111,12 @@
<member name="M:Yztob.AiSports.Sensors.WinForm.RTSPPreview.Dispose">
<inheritdoc />
</member>
<member name="M:Yztob.AiSports.Sensors.WinForm.RTSPPreview.Pushing(Yztob.AiSports.Sensors.Things.VideoFrameWithBuffer)">
<summary>
直接向预览器推送帧，进行预览回放
</summary>
<param name="frame">帧图像</param>
</member>
<member name="M:Yztob.AiSports.Sensors.WinForm.RTSPPreview.Play">
<summary>
启动抽帧/预览

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sdks/Yztob.AiSports.Sensors.xml
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@ -218,12 +218,13 @@
视频流解码器
</summary>
</member>
<member name="M:Yztob.AiSports.Sensors.Implement.VideoStreamDecoder.#ctor(System.String,FFmpeg.AutoGen.Abstractions.AVHWDeviceType)">
<member name="M:Yztob.AiSports.Sensors.Implement.VideoStreamDecoder.#ctor(System.String,FFmpeg.AutoGen.Abstractions.AVHWDeviceType,System.Int32)">
<summary>
初始化解码器
</summary>
<param name="url">设备访问url</param>
<param name="HWDeviceType">硬件设备类型</param>
<param name="timeout">视频连接超时是间</param>
</member>
<member name="P:Yztob.AiSports.Sensors.Implement.VideoStreamDecoder.CodecName">
<summary>
@ -307,11 +308,29 @@
获取FFmpeg原始帧
</summary>
</member>
<member name="P:Yztob.AiSports.Sensors.Things.VideoFrame.PresentTimestamp">
<summary>
获取或设置帧相对流开始的展示时间戳，单位：秒
</summary>
<remarks>通俗的理解便是，此帧在视频的第几秒出现的</remarks>
</member>
<member name="P:Yztob.AiSports.Sensors.Things.VideoFrame.PreserveDuration">
<summary>
获取或设置上一帧距离这帧维持的时长
</summary>
<remarks>即用当帧的<see cref="P:Yztob.AiSports.Sensors.Things.VideoFrame.PresentTimestamp"/>减去上一帧的<see cref="P:Yztob.AiSports.Sensors.Things.VideoFrame.PresentTimestamp"/></remarks>
</member>
<member name="P:Yztob.AiSports.Sensors.Things.VideoFrame.Timestamp">
<summary>
获取或设置时间戳，从UTC:2000-01-01开始的耗秒数
获取或设置帧提取时的系统时间戳，从UTC:2000-01-01开始的耗秒数
</summary>
</member>
<member name="M:Yztob.AiSports.Sensors.Things.VideoFrame.GetTimestamp">
<summary>
获取当前时间戳
</summary>
<returns></returns>
</member>
<member name="M:Yztob.AiSports.Sensors.Things.VideoFrame.GetImageBuffer(Yztob.AiSports.Sensors.Things.ImageFormat)">
<summary>
将当前帧转换成指定格式图像，并返回图像缓冲区数组
@ -359,6 +378,18 @@
获取FFmpeg原始帧
</summary>
</member>
<member name="P:Yztob.AiSports.Sensors.Things.VideoFrameWithBuffer.PresentTimestamp">
<summary>
获取或设置帧相对流开始的展示时间戳，单位：秒
</summary>
<remarks>通俗的理解便是，此帧在视频的第几秒出现的</remarks>
</member>
<member name="P:Yztob.AiSports.Sensors.Things.VideoFrameWithBuffer.PreserveDuration">
<summary>
获取或设置上一帧距离这帧维持的时长
</summary>
<remarks>即用当帧的<see cref="P:Yztob.AiSports.Sensors.Things.VideoFrameWithBuffer.PresentTimestamp"/>减去上一帧的<see cref="P:Yztob.AiSports.Sensors.Things.VideoFrameWithBuffer.PresentTimestamp"/></remarks>
</member>
<member name="P:Yztob.AiSports.Sensors.Things.VideoFrameWithBuffer.Timestamp">
<summary>
获取或设置时间戳，从UTC:2000-01-01开始的耗秒数

2
src/YD_AiSportsMicrospace/FrmMain.Designer.cs generated
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@ -172,7 +172,7 @@
host.Name = "host";
host.Size = new Size(236, 23);
host.TabIndex = 1;
host.Text = "192.168.3.64";
host.Text = "172.17.30.64";
//
// label2
//

73
src/YD_AiSportsMicrospace/FrmMain.cs
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@ -1,21 +1,20 @@
using System.Diagnostics;
using System.Drawing;
using System.Drawing.Imaging;
using System.Net;
using System.Linq;
using System.Net;
using System.Net.NetworkInformation;
using Yunzhi.Common;
using Yunzhi.Logging;
using Yztob.AiSports.Demo.WinForm.Common;
using Yztob.AiSports.Inferences.Abstractions;
using Yztob.AiSports.Inferences.Implement;
using Yztob.AiSports.Inferences.Things;
using Yztob.AiSports.Postures.Abstractions;
using Yztob.AiSports.Postures.Sports;
using Yztob.AiSports.Postures.Things;
using Yztob.AiSports.Sensors.Abstractions;
using Yztob.AiSports.Sensors.Things;
using Yztob.AiSports.Demo.WinForm.Common;
/*
* 预览主窗体
@ -38,6 +37,7 @@ public partial class FrmMain : Form
private readonly List<SportDescriptor> _sports;
private SportBase _sport;
private readonly SportDetectionQueue _detectQueue;
private ApparatusLongJumpDelineation _measureApparatus;
#endregion
#region 构造方法
@ -74,8 +74,8 @@ public partial class FrmMain : Form
this.sportTimes.Text = _sport.GetFormatTimes();//ts.ToString(@"mm\'ss\""");
//触发停止
//if (!this._sport.IsCounting)
// this.startOrStop_Click(null, null);
if (!this._sport.IsCounting)
this.startOrStop_Click(null, null);
});
//VoiceBroadcast.PlayTick();
}
@ -87,6 +87,12 @@ public partial class FrmMain : Form
if (_sport?.IsCounting == true)
sport.Start();
_measureApparatus = new ApparatusLongJumpDelineation();
_measureApparatus.MeasureLength = 300;
var _isCalibrated = this.ReactangleCalibrating(1920, 1080);
sport.MeasureApparatus = _measureApparatus;
_sport?.Stop();
_detectQueue.Stop();
_sport = sport;
@ -127,8 +133,61 @@ public partial class FrmMain : Form
Debug.WriteLine(ex.ToString());
}
});
}
private bool ReactangleCalibrating(int frameWidth, int frameHeight)
{
var boxes = new List<BoundingBox>()
{
new BoundingBox(){
ImageWidth = frameWidth,
ImageHeight = frameHeight,
Label = new PredictionLabel(){
Key = "begin"
},
MaskLayer = new MaskLayer(){
Contours = new List<SixLabors.ImageSharp.PointF>(){
new SixLabors.ImageSharp.PointF(1722, 909),
new SixLabors.ImageSharp.PointF(1689, 724),
}
}
},
new BoundingBox(){
ImageWidth = frameWidth,
ImageHeight = frameHeight,
Label = new PredictionLabel{
Key = "end"
},
MaskLayer = new MaskLayer(){
Contours = new List<SixLabors.ImageSharp.PointF>(){
new SixLabors.ImageSharp.PointF(1516, 918),
new SixLabors.ImageSharp.PointF(1498, 730)
}
}
}
};
boxes[1].Label.Key = "take-off";
boxes.Add(new BoundingBox()
{
ImageWidth = frameWidth,
ImageHeight = frameHeight,
Label = new PredictionLabel
{
Key = "end"
},
MaskLayer = new MaskLayer()
{
Contours = new List<SixLabors.ImageSharp.PointF>(){
new SixLabors.ImageSharp.PointF(191, 918),
new SixLabors.ImageSharp.PointF(245, 741)
}
}
});
return _measureApparatus.Calibrating(boxes);
}
#endregion
#region 事件处理程序