拆分模型加载+UI优化
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terric
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d9e96b0d69
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m_Layer: 5
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m_Name: HUDRoot
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m_TagString: Untagged
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|
|
@ -49,6 +51,40 @@ MonoBehaviour:
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m_Name:
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m_EditorClassIdentifier:
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Animator:
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m_CorrespondingSourceObject: {fileID: 0}
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m_PrefabInstance: {fileID: 0}
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m_PrefabAsset: {fileID: 0}
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m_GameObject: {fileID: 591297386902869668}
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||||
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||||
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||||
m_LinearVelocityBlending: 0
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||||
m_StabilizeFeet: 0
|
||||
m_AnimatePhysics: 0
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m_WarningMessage:
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m_HasTransformHierarchy: 1
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m_AllowConstantClipSamplingOptimization: 1
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||||
m_KeepAnimatorStateOnDisable: 0
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m_WriteDefaultValuesOnDisable: 0
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CanvasGroup:
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m_ObjectHideFlags: 0
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||||
m_CorrespondingSourceObject: {fileID: 0}
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m_PrefabInstance: {fileID: 0}
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m_PrefabAsset: {fileID: 0}
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m_GameObject: {fileID: 591297386902869668}
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||||
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||||
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||||
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||||
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||||
PrefabInstance:
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@ -99,7 +135,7 @@ PrefabInstance:
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objectReference: {fileID: 0}
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@ -143,7 +179,7 @@ PrefabInstance:
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objectReference: {fileID: 0}
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propertyPath: m_AnchoredPosition.y
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||||
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|
|
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|
@ -937,7 +937,7 @@ MonoBehaviour:
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m_Script: {fileID: 11500000, guid: df35b0c19ca97734e87299a664cea35f, type: 3}
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m_EditorClassIdentifier:
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|
|
@ -1005,11 +1005,6 @@ MonoBehaviour:
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m_Script: {fileID: 11500000, guid: c96807d839ba7554d92494fd6d25bb28, type: 3}
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m_Name:
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m_EditorClassIdentifier:
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inpWidth: 416
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inpHeight: 416
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confThreshold: 0.35
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nmsThreshold: 0.6
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topK: 1000
|
||||
SamplingRate: 0.1
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--- !u!1 &1680658391
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||||
GameObject:
|
||||
|
|
|
|||
|
|
@ -3,6 +3,7 @@ using UnityEngine.Rendering;
|
|||
|
||||
public class Boot : MonoBehaviour
|
||||
{
|
||||
private bool _isInited = false;
|
||||
[RuntimeInitializeOnLoadMethod(RuntimeInitializeLoadType.BeforeSplashScreen)]
|
||||
public static void StopLogo()
|
||||
{
|
||||
|
|
@ -19,13 +20,20 @@ public class Boot : MonoBehaviour
|
|||
Screen.sleepTimeout = SleepTimeout.NeverSleep;
|
||||
//设置屏幕方向
|
||||
Screen.orientation = ScreenOrientation.LandscapeLeft;
|
||||
_isInited = UIManager.IsInited;
|
||||
}
|
||||
|
||||
private void OnEnable()
|
||||
{
|
||||
//加载
|
||||
UIManager.Instance.Init();
|
||||
UIManager.Instance.ShowPanel<SplashUI>();
|
||||
//UIManager.Instance.Init();
|
||||
if (!_isInited)
|
||||
UIManager.Instance.ShowPanel<SplashUI>();
|
||||
else
|
||||
{
|
||||
UIManager.Instance.LoadReset();
|
||||
UIManager.Instance.ShowPanel<MainUIPanel>();
|
||||
}
|
||||
}
|
||||
|
||||
// Update is called once per frame
|
||||
|
|
|
|||
|
|
@ -1,214 +0,0 @@
|
|||
using OpenCVForUnity.CoreModule;
|
||||
using OpenCVForUnity.DnnModule;
|
||||
using OpenCVForUnity.ImgprocModule;
|
||||
using OpenCVForUnity.UnityUtils;
|
||||
using OpenCVForUnity.UnityUtils.Helper;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Threading;
|
||||
using UnityEngine;
|
||||
using Yoga;
|
||||
|
||||
public class CVEstimator : Singleton<CVEstimator>
|
||||
{
|
||||
private bool isInited = false;
|
||||
|
||||
public bool IsInited { get => isInited; private set => isInited = value; }
|
||||
public bool IsRunning { get; private set; }
|
||||
|
||||
private Thread _mainThread;
|
||||
private Thread _estimateThread;
|
||||
|
||||
private static readonly TimeSpan _refreshRate = TimeSpan.FromSeconds(1 / 30);
|
||||
|
||||
public void Init(params object[] args)
|
||||
{
|
||||
if (IsInited)
|
||||
{
|
||||
return;
|
||||
}
|
||||
if (_mainThread != null)
|
||||
{
|
||||
_mainThread.Abort();
|
||||
_mainThread = null;
|
||||
}
|
||||
|
||||
//先用YOLOv7检测人体，再用OpenPose检测人体姿态
|
||||
if (args.Length < 2)
|
||||
throw new ArgumentException("CVEstimator.Init: args.Length < 2");
|
||||
|
||||
_objectDetector = args[0] as YOLOv7ObjectDetector;
|
||||
if (_objectDetector == null)
|
||||
throw new ArgumentException("CVEstimator.Init: args[0] is not YOLOv7ObjectDetector");
|
||||
|
||||
_openPoseModel = args[1] as KeypointsModel;
|
||||
if (_openPoseModel == null)
|
||||
throw new ArgumentException("CVEstimator.Init: args[1] is not KeypointsModel");
|
||||
|
||||
_mainThread = new Thread(new ThreadStart(MainThread));
|
||||
_mainThread.Start();
|
||||
|
||||
IsInited = true;
|
||||
}
|
||||
|
||||
public void StartEstimation()
|
||||
{
|
||||
if (!IsInited)
|
||||
{
|
||||
Debug.LogError("CVEstimator is not inited. ");
|
||||
return;
|
||||
}
|
||||
_estimateThread.Start();
|
||||
if (IsRunning)
|
||||
{
|
||||
return;
|
||||
}
|
||||
IsRunning = true;
|
||||
}
|
||||
|
||||
public void Dispose()
|
||||
{
|
||||
if (!IsInited)
|
||||
{
|
||||
return;
|
||||
}
|
||||
IsRunning = false;
|
||||
_estimateThread.Abort();
|
||||
_mainThread.Abort();
|
||||
IsInited = false;
|
||||
}
|
||||
|
||||
private YOLOv7ObjectDetector _objectDetector;
|
||||
public int inpWidth = 416;
|
||||
public int inpHeight = 416;
|
||||
public float confThreshold = 0.35f;
|
||||
public float nmsThreshold = 0.6f;
|
||||
public int topK = 1000;
|
||||
private double threshold = 0.5;
|
||||
|
||||
private Net _net;
|
||||
private KeypointsModel _openPoseModel;
|
||||
|
||||
private void MainThread()
|
||||
{
|
||||
//加载模型
|
||||
Utils.setDebugMode(true); //打印日志
|
||||
//解析数据
|
||||
_estimateThread = new Thread(new ThreadStart(Estimation));
|
||||
}
|
||||
|
||||
private void Estimation()
|
||||
{
|
||||
DateTime startTime = DateTime.Now;
|
||||
Mat bgrMat = new Mat();
|
||||
while (IsRunning)
|
||||
{
|
||||
if (_objectDetector == null)
|
||||
{
|
||||
Debug.LogWarning("ObjectDetector is not ready. ");
|
||||
IsRunning = false; //停止检测
|
||||
}
|
||||
|
||||
//获取数据
|
||||
Mat rgbaMat = MotionCaptureManager.Instance.RgbaMat;
|
||||
if (rgbaMat == null)
|
||||
{
|
||||
Debug.Log("WebCamTexture is null. ");
|
||||
Debug.Log("Re-Estimation.");
|
||||
continue; //重新检测
|
||||
}
|
||||
|
||||
Imgproc.cvtColor(rgbaMat, bgrMat, Imgproc.COLOR_RGBA2BGR);
|
||||
Mat results = _objectDetector.infer(bgrMat);
|
||||
var voloResultBox = new List<float[]>();
|
||||
bool hasValidObject = false;
|
||||
for (int i = results.rows() - 1; i >= 0; --i)
|
||||
{
|
||||
float[] box = new float[4];
|
||||
results.get(i, 0, box); //方框
|
||||
float[] conf = new float[1];
|
||||
results.get(i, 4, conf); //检测数据
|
||||
float[] cls = new float[1];
|
||||
results.get(i, 5, cls); //类别
|
||||
|
||||
if (!IsObjectValid(box, conf, cls, rgbaMat))
|
||||
{
|
||||
continue;
|
||||
}
|
||||
hasValidObject = true;
|
||||
voloResultBox.Clear();
|
||||
voloResultBox.Add(box);
|
||||
voloResultBox.Add(conf);
|
||||
voloResultBox.Add(cls);
|
||||
break;
|
||||
}
|
||||
|
||||
if (!hasValidObject) //没有检测到人体
|
||||
{
|
||||
Debug.Log("No person block found. Re-Estimation.");
|
||||
continue; //重新检测
|
||||
}
|
||||
//更新人物框检测结果
|
||||
MotionCaptureManager.Instance.VoloResult = voloResultBox;
|
||||
|
||||
OpenCVForUnity.CoreModule.Rect roiRect = new OpenCVForUnity.CoreModule.Rect(
|
||||
(int)voloResultBox[0][0],
|
||||
(int)voloResultBox[0][1],
|
||||
Math.Abs((int)(voloResultBox[0][2] - voloResultBox[0][0])),
|
||||
Math.Abs((int)(voloResultBox[0][3] - voloResultBox[0][1])));
|
||||
|
||||
if (roiRect.y < 0 || //0 <= _rowRange.start
|
||||
(roiRect.y + roiRect.height) < roiRect.y || // _rowRange.start <= _rowRange.end
|
||||
bgrMat.rows() < (roiRect.y + roiRect.height)) //_rowRange.end <= m.rows
|
||||
continue; //重新检测
|
||||
|
||||
Mat personRectImg = new Mat(bgrMat, roiRect);//获取人体区域
|
||||
List<Point> points = _openPoseModel.estimate(personRectImg, (float)threshold).toList();
|
||||
//将人体区域的坐标转换为原图坐标
|
||||
for (int j = 0; j < points.Count; j++)
|
||||
{
|
||||
if (points[j] == null ||
|
||||
(points[j].x == -1 && points[j].y == -1)) //没找到的点，跳过
|
||||
continue;
|
||||
|
||||
points[j].x += roiRect.x;
|
||||
points[j].y += roiRect.y;
|
||||
}
|
||||
|
||||
if (!YogaManager.Instance.ActionCheckPoints(points))
|
||||
{
|
||||
Debug.Log("ActionCheckPoints failed. Re-Estimation.");
|
||||
continue; //重新检测
|
||||
}
|
||||
|
||||
//更新关键点位检测结果
|
||||
MotionCaptureManager.Instance.CurrPersonPoints = points;
|
||||
|
||||
//等待到下一个更新周期
|
||||
if (DateTime.Now - startTime > _refreshRate)
|
||||
{
|
||||
startTime = DateTime.Now;
|
||||
}
|
||||
else
|
||||
{
|
||||
Thread.Sleep(_refreshRate - (DateTime.Now - startTime));
|
||||
}
|
||||
}
|
||||
bgrMat.Dispose();
|
||||
}
|
||||
|
||||
private bool IsObjectValid(float[] box, float[] confidence, float[] classID, Mat rgbaMat)
|
||||
{
|
||||
if ((int)classID[0] != 0 || confidence[0] < 0.8f) //只检测人体，且置信度大于80%
|
||||
return false;
|
||||
|
||||
//是否满足主驾/副驾的位置条件
|
||||
float width = rgbaMat.width();
|
||||
//获取矩形的中点
|
||||
float centerX = (box[0] + box[2]) / 2;
|
||||
//左边副驾驶，右边主驾驶
|
||||
|
||||
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,8 @@
|
|||
fileFormatVersion: 2
|
||||
guid: 5dfab41ece4615444a5c6384f28728eb
|
||||
folderAsset: yes
|
||||
DefaultImporter:
|
||||
externalObjects: {}
|
||||
userData:
|
||||
assetBundleName:
|
||||
assetBundleVariant:
|
||||
|
|
@ -0,0 +1,144 @@
|
|||
using OpenCVForUnity.CoreModule;
|
||||
using OpenCVForUnity.DnnModule;
|
||||
using OpenCVForUnity.ImgprocModule;
|
||||
using OpenCVForUnity.UnityUtils;
|
||||
using OpenCVForUnity.UnityUtils.Helper;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Threading;
|
||||
using UnityEngine;
|
||||
using Yoga;
|
||||
|
||||
public class CVEstimator : Singleton<CVEstimator>
|
||||
{
|
||||
private bool isInited = false;
|
||||
|
||||
public bool IsInited { get => isInited; private set => isInited = value; }
|
||||
public bool IsRunning { get; private set; }
|
||||
|
||||
private Thread _mainThread;
|
||||
private Thread _estimateThread;
|
||||
|
||||
private static readonly TimeSpan _refreshRate = TimeSpan.FromSeconds(1 / 30);
|
||||
|
||||
//public int inpWidth = 416;
|
||||
//public int inpHeight = 416;
|
||||
//public float confThreshold = 0.35f;
|
||||
//public float nmsThreshold = 0.6f;
|
||||
//public int topK = 1000;
|
||||
//private double threshold = 0.5;
|
||||
|
||||
private Net _net;
|
||||
private KeypointsModel _openPoseModel;
|
||||
|
||||
public void Init(params object[] args)
|
||||
{
|
||||
if (IsInited)
|
||||
{
|
||||
return;
|
||||
}
|
||||
if (_mainThread != null)
|
||||
{
|
||||
_mainThread.Abort();
|
||||
_mainThread = null;
|
||||
}
|
||||
|
||||
//先用YOLOv7检测人体，再用OpenPose检测人体姿态
|
||||
//if (args.Length < 1)
|
||||
// throw new ArgumentException("CVEstimator.Init: args.Length < 2");
|
||||
|
||||
//_objectDetector = args[0] as YOLOv7ObjectDetector;
|
||||
//if (_objectDetector == null)
|
||||
// throw new ArgumentException("CVEstimator.Init: args[0] is not YOLOv7ObjectDetector");
|
||||
|
||||
//_openPoseModel = args[1] as KeypointsModel;
|
||||
//if (_openPoseModel == null)
|
||||
// throw new ArgumentException("CVEstimator.Init: args[1] is not KeypointsModel");
|
||||
|
||||
_mainThread = new Thread(new ThreadStart(MainThread));
|
||||
_mainThread.Start();
|
||||
|
||||
IsInited = true;
|
||||
}
|
||||
|
||||
public void StartEstimation()
|
||||
{
|
||||
if (!IsInited)
|
||||
{
|
||||
Debug.LogError("CVEstimator is not inited. ");
|
||||
return;
|
||||
}
|
||||
_estimateThread.Start();
|
||||
if (IsRunning)
|
||||
{
|
||||
return;
|
||||
}
|
||||
IsRunning = true;
|
||||
}
|
||||
|
||||
public void Dispose()
|
||||
{
|
||||
if (!IsInited)
|
||||
{
|
||||
return;
|
||||
}
|
||||
IsRunning = false;
|
||||
_estimateThread.Abort();
|
||||
_mainThread.Abort();
|
||||
IsInited = false;
|
||||
}
|
||||
|
||||
private void MainThread()
|
||||
{
|
||||
//加载模型
|
||||
Utils.setDebugMode(true); //打印日志
|
||||
//解析数据
|
||||
_estimateThread = new Thread(new ThreadStart(Estimation));
|
||||
}
|
||||
|
||||
private void Estimation()
|
||||
{
|
||||
DateTime startTime = DateTime.Now;
|
||||
Mat bgrMat = new Mat();
|
||||
|
||||
while (IsRunning)
|
||||
{
|
||||
Mat rgbaMat = MotionCaptureManager.Instance.RgbaMat;
|
||||
if (rgbaMat == null)
|
||||
{
|
||||
Debug.Log("WebCamTexture is null. ");
|
||||
Debug.Log("Re-Estimation.");
|
||||
continue; //重新检测
|
||||
}
|
||||
Imgproc.cvtColor(rgbaMat, bgrMat, Imgproc.COLOR_RGBA2BGR);
|
||||
|
||||
if (!YogaManager.Instance.CurrentEstimator.TryGetROIRegionMat(rgbaMat, bgrMat, out List<float[]> voloResultBox))
|
||||
{
|
||||
continue; //重新检测
|
||||
}
|
||||
|
||||
//更新人物框检测结果
|
||||
MotionCaptureManager.Instance.VoloResult = voloResultBox;
|
||||
|
||||
if (!YogaManager.Instance.CurrentEstimator.Esitmate(bgrMat, voloResultBox, out List<Point> points))
|
||||
{
|
||||
Debug.LogWarning("Pose estimation failed. Re-Estimating.");
|
||||
continue; //重新检测
|
||||
}
|
||||
|
||||
//更新关键点位检测结果
|
||||
MotionCaptureManager.Instance.CurrPersonPoints = points;
|
||||
|
||||
//等待到下一个更新周期
|
||||
if (DateTime.Now - startTime > _refreshRate)
|
||||
{
|
||||
startTime = DateTime.Now;
|
||||
}
|
||||
else
|
||||
{
|
||||
Thread.Sleep(_refreshRate - (DateTime.Now - startTime));
|
||||
}
|
||||
}
|
||||
bgrMat.Dispose();
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,134 @@
|
|||
using OpenCVForUnity.CoreModule;
|
||||
using OpenCVForUnity.ImgprocModule;
|
||||
using OpenCVForUnity.UnityUtils;
|
||||
using OpenCVForUnity.UnityUtils.Helper;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using UnityEngine;
|
||||
using Yoga;
|
||||
|
||||
public abstract class Estimator
|
||||
{
|
||||
private YOLOv7ObjectDetector _objectDetector;
|
||||
public int inpWidth = 416;
|
||||
public int inpHeight = 416;
|
||||
public float confThreshold = 0.35f;
|
||||
public float nmsThreshold = 0.6f;
|
||||
public int topK = 1000;
|
||||
|
||||
//初始化
|
||||
public void Init()
|
||||
{
|
||||
_objectDetector = new YOLOv7ObjectDetector(
|
||||
Utils.getFilePath("OpenCVForUnity/dnn/yolov7-tiny.weights"),
|
||||
Utils.getFilePath("OpenCVForUnity/dnn/yolov7-tiny.cfg"),
|
||||
Utils.getFilePath("OpenCVForUnity/dnn/coco.names"),
|
||||
new Size(inpWidth, inpHeight), confThreshold, nmsThreshold/*, topK*/);
|
||||
|
||||
InitModel();
|
||||
}
|
||||
|
||||
public abstract void InitModel();
|
||||
|
||||
public void Dispose()
|
||||
{
|
||||
DisposeModel();
|
||||
}
|
||||
public abstract void DisposeModel();
|
||||
|
||||
//检测到的人体框 默认使用VOLO7
|
||||
public virtual bool TryGetROIRegionMat(Mat rgbaMat, Mat bgrMat, out List<float[]> voloResult)
|
||||
{
|
||||
voloResult = null;
|
||||
if (_objectDetector == null)
|
||||
{
|
||||
Debug.LogWarning("ObjectDetector is not ready. ");
|
||||
return false; //重新检测
|
||||
}
|
||||
|
||||
//获取数据
|
||||
Mat results = _objectDetector.infer(bgrMat);
|
||||
var voloResultBox = new List<float[]>();
|
||||
bool hasValidObject = false;
|
||||
for (int i = results.rows() - 1; i >= 0; --i)
|
||||
{
|
||||
float[] box = new float[4];
|
||||
results.get(i, 0, box); //方框
|
||||
float[] conf = new float[1];
|
||||
results.get(i, 4, conf); //检测数据
|
||||
float[] cls = new float[1];
|
||||
results.get(i, 5, cls); //类别
|
||||
|
||||
if (!IsObjectValid(box, conf, cls, rgbaMat))
|
||||
{
|
||||
return false;
|
||||
}
|
||||
hasValidObject = true;
|
||||
voloResultBox.Clear();
|
||||
voloResultBox.Add(box);
|
||||
voloResultBox.Add(conf);
|
||||
voloResultBox.Add(cls);
|
||||
break;
|
||||
}
|
||||
|
||||
if (!hasValidObject) //没有检测到人体
|
||||
{
|
||||
Debug.Log("No person block found. Re-Estimation.");
|
||||
return false; //重新检测
|
||||
}
|
||||
|
||||
voloResult = voloResultBox;
|
||||
return true;
|
||||
}
|
||||
|
||||
|
||||
protected bool IsObjectValid(float[] box, float[] confidence, float[] classID, Mat rgbaMat)
|
||||
{
|
||||
if ((int)classID[0] != 0 || confidence[0] < 0.8f) //只检测人体，且置信度大于80%
|
||||
return false;
|
||||
|
||||
//是否满足主驾/副驾的位置条件
|
||||
float width = rgbaMat.width();
|
||||
//获取矩形的中点
|
||||
float centerX = (box[0] + box[2]) / 2;
|
||||
//左边副驾驶，右边主驾驶
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
public void DebugPrintObjectLayout(Mat image, float[] box, float[] conf, float[] cls, bool isRGB = false)
|
||||
{
|
||||
|
||||
float left = box[0];
|
||||
float top = box[1];
|
||||
float right = box[2];
|
||||
float bottom = box[3];
|
||||
int classId = (int)cls[0];
|
||||
|
||||
Scalar c = _objectDetector.palette[classId % _objectDetector.palette.Count];
|
||||
Scalar color = isRGB ? c : new Scalar(c.val[2], c.val[1], c.val[0], c.val[3]);
|
||||
|
||||
Imgproc.rectangle(image, new Point(left, top), new Point(right, bottom), color, 2);
|
||||
|
||||
string label = String.Format("{0:0.00}", conf[0]);
|
||||
if (_objectDetector.classNames != null && _objectDetector.classNames.Count != 0)
|
||||
{
|
||||
if (classId < (int)_objectDetector.classNames.Count)
|
||||
{
|
||||
label = _objectDetector.classNames[classId] + " " + label;
|
||||
}
|
||||
}
|
||||
|
||||
int[] baseLine = new int[1];
|
||||
Size labelSize = Imgproc.getTextSize(label, Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, 1, baseLine);
|
||||
|
||||
top = Mathf.Max((float)top, (float)labelSize.height);
|
||||
Imgproc.rectangle(image, new Point(left, top - labelSize.height),
|
||||
new Point(left + labelSize.width, top + baseLine[0]), color, Core.FILLED);
|
||||
Imgproc.putText(image, label, new Point(left, top), Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, Scalar.all(255), 1, Imgproc.LINE_AA);
|
||||
}
|
||||
|
||||
public abstract bool Esitmate(Mat bgrMat, List<float[]> voloResultBox, out List<Point> points);
|
||||
|
||||
public virtual void Check(ref Mat img) { }
|
||||
}
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
fileFormatVersion: 2
|
||||
guid: 9b182376ae5163a4e8f57f947c81ddc1
|
||||
MonoImporter:
|
||||
externalObjects: {}
|
||||
serializedVersion: 2
|
||||
defaultReferences: []
|
||||
executionOrder: 0
|
||||
icon: {instanceID: 0}
|
||||
userData:
|
||||
assetBundleName:
|
||||
assetBundleVariant:
|
||||
|
|
@ -0,0 +1,21 @@
|
|||
using OpenCVForUnity.CoreModule;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
|
||||
public class MediaPipeEstimator : Estimator
|
||||
{
|
||||
public override void InitModel()
|
||||
{
|
||||
throw new NotImplementedException();
|
||||
}
|
||||
|
||||
public override bool Esitmate(Mat bgrMat, List<float[]> voloResultBox, out List<Point> points)
|
||||
{
|
||||
throw new NotImplementedException();
|
||||
}
|
||||
|
||||
public override void DisposeModel()
|
||||
{
|
||||
throw new NotImplementedException();
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
fileFormatVersion: 2
|
||||
guid: 5218b8c2234cf5145a26a3eb202cafd2
|
||||
MonoImporter:
|
||||
externalObjects: {}
|
||||
serializedVersion: 2
|
||||
defaultReferences: []
|
||||
executionOrder: 0
|
||||
icon: {instanceID: 0}
|
||||
userData:
|
||||
assetBundleName:
|
||||
assetBundleVariant:
|
||||
|
|
@ -0,0 +1,89 @@
|
|||
using OpenCVForUnity.CoreModule;
|
||||
using OpenCVForUnity.DnnModule;
|
||||
using OpenCVForUnity.ImgprocModule;
|
||||
using OpenCVForUnity.UnityUtils;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using UnityEngine;
|
||||
using Yoga;
|
||||
|
||||
public class OpenPoseEsimater : Estimator
|
||||
{
|
||||
KeypointsModel _openPoseModel;
|
||||
private Net _net;
|
||||
|
||||
private double threshold = 0.5;
|
||||
public override void InitModel()
|
||||
{
|
||||
_net = null;
|
||||
var modelFilePath = Utils.getFilePath(YogaConfig.MODEL_PATHS[ModelType.OpenPose]);
|
||||
if (string.IsNullOrEmpty(modelFilePath))
|
||||
{
|
||||
Debug.LogError("modelFilePath is empty. Please copy from “OpenCVForUnity/StreamingAssets/” to “Assets/StreamingAssets/” folder. ");
|
||||
return;
|
||||
}
|
||||
|
||||
_net = Dnn.readNet(modelFilePath);
|
||||
|
||||
_openPoseModel = new KeypointsModel(_net);
|
||||
_openPoseModel.setInputScale(new Scalar(YogaConfig.InScale));
|
||||
_openPoseModel.setInputSize(new Size(YogaConfig.InWidth, YogaConfig.InHeight));
|
||||
_openPoseModel.setInputMean(new Scalar(YogaConfig.InMean));
|
||||
_openPoseModel.setInputSwapRB(false);
|
||||
_openPoseModel.setInputCrop(false);
|
||||
}
|
||||
|
||||
public override void DisposeModel()
|
||||
{
|
||||
if (_net != null)
|
||||
_net.Dispose();
|
||||
}
|
||||
|
||||
public override bool Esitmate(Mat bgrMat, List<float[]> voloResultBox, out List<Point> points)
|
||||
{
|
||||
points = null;
|
||||
|
||||
if (_openPoseModel == null)
|
||||
throw new ArgumentException("CVEstimator.Init: args[1] is not KeypointsModel")
|
||||
;
|
||||
OpenCVForUnity.CoreModule.Rect roiRect = new OpenCVForUnity.CoreModule.Rect(
|
||||
(int)voloResultBox[0][0],
|
||||
(int)voloResultBox[0][1],
|
||||
Math.Abs((int)(voloResultBox[0][2] - voloResultBox[0][0])),
|
||||
Math.Abs((int)(voloResultBox[0][3] - voloResultBox[0][1])));
|
||||
|
||||
if (roiRect.y < 0 || //0 <= _rowRange.start
|
||||
(roiRect.y + roiRect.height) < roiRect.y || // _rowRange.start <= _rowRange.end
|
||||
bgrMat.rows() < (roiRect.y + roiRect.height)) //_rowRange.end <= m.rows
|
||||
return false; //重新检测
|
||||
|
||||
Mat personRectImg = new Mat(bgrMat, roiRect);//获取人体区域
|
||||
points = _openPoseModel.estimate(personRectImg, (float)threshold).toList();
|
||||
//将人体区域的坐标转换为原图坐标
|
||||
for (int j = 0; j < points.Count; j++)
|
||||
{
|
||||
if (points[j] == null ||
|
||||
(points[j].x == -1 && points[j].y == -1)) //没找到的点，跳过
|
||||
continue;
|
||||
|
||||
points[j].x += roiRect.x;
|
||||
points[j].y += roiRect.y;
|
||||
}
|
||||
|
||||
if (!YogaManager.Instance.ActionCheckPoints(points))
|
||||
{
|
||||
Debug.Log("ActionCheckPoints failed. Re-Estimation.");
|
||||
return false; //重新检测
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
public override void Check(ref Mat img)
|
||||
{
|
||||
if (_net == null)
|
||||
{
|
||||
Imgproc.putText(img, "model file is not loaded.", new Point(5, img.rows() - 30), Imgproc.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(255, 255, 255), 2, Imgproc.LINE_AA, false);
|
||||
Imgproc.putText(img, "Please read console message.", new Point(5, img.rows() - 10), Imgproc.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(255, 255, 255), 2, Imgproc.LINE_AA, false);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
fileFormatVersion: 2
|
||||
guid: 74f91c9ecee115b44bc9368fe1e41afd
|
||||
MonoImporter:
|
||||
externalObjects: {}
|
||||
serializedVersion: 2
|
||||
defaultReferences: []
|
||||
executionOrder: 0
|
||||
icon: {instanceID: 0}
|
||||
userData:
|
||||
assetBundleName:
|
||||
assetBundleVariant:
|
||||
|
|
@ -1,11 +1,6 @@
|
|||
#undef DEBUG_MODE
|
||||
#define DEBUG_MODE
|
||||
|
||||
|
||||
using OpenCVForUnity.CoreModule;
|
||||
using OpenCVForUnity.CoreModule;
|
||||
using OpenCVForUnity.DnnModule;
|
||||
using OpenCVForUnity.ImgprocModule;
|
||||
using OpenCVForUnity.ObjdetectModule;
|
||||
using OpenCVForUnity.UnityUtils;
|
||||
using OpenCVForUnity.UnityUtils.Helper;
|
||||
using OpenCVForUnityExample;
|
||||
|
|
@ -26,27 +21,13 @@ namespace Yoga
|
|||
private bool isInited = false;
|
||||
private Texture2D texture;
|
||||
|
||||
private Net _net;
|
||||
private Dictionary<ModelType, KeypointsModel> _models = new Dictionary<ModelType, KeypointsModel>();
|
||||
|
||||
private KeypointsModel _openPoseModel;
|
||||
|
||||
public int inpWidth = 416;
|
||||
public int inpHeight = 416;
|
||||
public float confThreshold = 0.35f;
|
||||
public float nmsThreshold = 0.6f;
|
||||
public int topK = 1000;
|
||||
|
||||
public float SamplingRate = 0.3f;
|
||||
|
||||
private List<float[]> _voloResult = new List<float[]>();
|
||||
private List<Point> _currPersonPoints = new List<Point>();
|
||||
|
||||
private YOLOv7ObjectDetector _objectDetector;
|
||||
private Mat _bgrMat;
|
||||
|
||||
private double threshold = 0.5;
|
||||
|
||||
private bool _isOnCamCapture = false;
|
||||
public bool IsOnCamCapture { get => _isOnCamCapture; internal set => _isOnCamCapture = value; }
|
||||
public WebCamTextureToMatHelper WebCamTextureToMatHelper => _webCamTextureToMatHelper;
|
||||
|
|
@ -82,45 +63,28 @@ namespace Yoga
|
|||
_webCamTextureToMatHelper = gameObject.GetComponent<WebCamTextureToMatHelper>();
|
||||
_webCamTextureToMatHelper.Initialize();
|
||||
|
||||
YogaManager.Instance.InitData();
|
||||
UIManager.Instance.LoadReset();
|
||||
|
||||
if (YogaManager.Instance.Action == null)
|
||||
YogaManager.Instance.InitData();
|
||||
|
||||
|
||||
UIManager.Instance.Init();
|
||||
UIManager.Instance.ShowPanel<ActionGuideVideoPanel>(false, YogaManager.Instance.Action);
|
||||
|
||||
LoadModels();//加载模型
|
||||
Utils.setDebugMode(true); //打印日志
|
||||
//LoadModels();//加载模型
|
||||
|
||||
CVEstimator.Instance.Init(_objectDetector, _openPoseModel);//初始化姿态检测
|
||||
}
|
||||
|
||||
private void LoadModels()
|
||||
{
|
||||
//Utils.setDebugMode(true); //打印日志
|
||||
_net = null;
|
||||
|
||||
//先用YOLOv7检测人体，再用OpenPose检测人体姿态
|
||||
_objectDetector = new YOLOv7ObjectDetector(
|
||||
Utils.getFilePath("OpenCVForUnity/dnn/yolov7-tiny.weights"),
|
||||
Utils.getFilePath("OpenCVForUnity/dnn/yolov7-tiny.cfg"),
|
||||
Utils.getFilePath("OpenCVForUnity/dnn/coco.names"),
|
||||
new Size(inpWidth, inpHeight), confThreshold, nmsThreshold/*, topK*/);
|
||||
|
||||
|
||||
var modelFilePath = Utils.getFilePath(YogaConfig.MODEL_PATHS[ModelType.OpenPose]);
|
||||
if (string.IsNullOrEmpty(modelFilePath))
|
||||
switch (YogaManager.Instance.Action.ModelType)
|
||||
{
|
||||
Debug.LogError("modelFilePath is empty. Please copy from “OpenCVForUnity/StreamingAssets/” to “Assets/StreamingAssets/” folder. ");
|
||||
return;
|
||||
case ModelType.OpenPose:
|
||||
YogaManager.Instance.CurrentEstimator = new OpenPoseEsimater();
|
||||
break;
|
||||
case ModelType.Mediapipe:
|
||||
YogaManager.Instance.CurrentEstimator = new MediaPipeEstimator();
|
||||
break;
|
||||
}
|
||||
YogaManager.Instance.CurrentEstimator.Init();
|
||||
|
||||
_net = Dnn.readNet(modelFilePath);
|
||||
|
||||
_openPoseModel = new KeypointsModel(_net);
|
||||
_openPoseModel.setInputScale(new Scalar(YogaConfig.InScale));
|
||||
_openPoseModel.setInputSize(new Size(YogaConfig.InWidth, YogaConfig.InHeight));
|
||||
_openPoseModel.setInputMean(new Scalar(YogaConfig.InMean));
|
||||
_openPoseModel.setInputSwapRB(false);
|
||||
_openPoseModel.setInputCrop(false);
|
||||
CVEstimator.Instance.Init();//初始化姿态检测
|
||||
}
|
||||
|
||||
private void Update()
|
||||
|
|
@ -137,14 +101,12 @@ namespace Yoga
|
|||
Mat img = _webCamTextureToMatHelper.GetMat();
|
||||
Imgproc.cvtColor(img, img, Imgproc.COLOR_BGR2RGB);
|
||||
_rgbaMat = img.clone();
|
||||
if (_net == null)
|
||||
{
|
||||
Imgproc.putText(img, "model file is not loaded.", new Point(5, img.rows() - 30), Imgproc.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(255, 255, 255), 2, Imgproc.LINE_AA, false);
|
||||
Imgproc.putText(img, "Please read console message.", new Point(5, img.rows() - 10), Imgproc.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(255, 255, 255), 2, Imgproc.LINE_AA, false);
|
||||
}
|
||||
|
||||
YogaManager.Instance.CurrentEstimator.Check(ref img);//检测模型，将错误信息打印在图片上
|
||||
|
||||
|
||||
if (_voloResult.Count >= 2)
|
||||
DebugPrintObjectLayout(img, _voloResult[0], _voloResult[1], _voloResult[2]);
|
||||
YogaManager.Instance.CurrentEstimator.DebugPrintObjectLayout(img, _voloResult[0], _voloResult[1], _voloResult[2]);
|
||||
|
||||
if (_currPersonPoints != null && _currPersonPoints.Count > 0)
|
||||
{
|
||||
|
|
@ -218,7 +180,6 @@ namespace Yoga
|
|||
}
|
||||
AvatarAction actionType = (AvatarAction)args.FirstOrDefault();
|
||||
|
||||
UIManager.Instance.ShowHint(actionType.ToString(), "Follow the robot!");
|
||||
|
||||
//检测动作
|
||||
var startTime = DateTime.Now;
|
||||
|
|
@ -241,37 +202,7 @@ namespace Yoga
|
|||
|
||||
#endregion
|
||||
|
||||
private void DebugPrintObjectLayout(Mat image, float[] box, float[] conf, float[] cls, bool isRGB = false)
|
||||
{
|
||||
|
||||
float left = box[0];
|
||||
float top = box[1];
|
||||
float right = box[2];
|
||||
float bottom = box[3];
|
||||
int classId = (int)cls[0];
|
||||
|
||||
Scalar c = _objectDetector.palette[classId % _objectDetector.palette.Count];
|
||||
Scalar color = isRGB ? c : new Scalar(c.val[2], c.val[1], c.val[0], c.val[3]);
|
||||
|
||||
Imgproc.rectangle(image, new Point(left, top), new Point(right, bottom), color, 2);
|
||||
|
||||
string label = String.Format("{0:0.00}", conf[0]);
|
||||
if (_objectDetector.classNames != null && _objectDetector.classNames.Count != 0)
|
||||
{
|
||||
if (classId < (int)_objectDetector.classNames.Count)
|
||||
{
|
||||
label = _objectDetector.classNames[classId] + " " + label;
|
||||
}
|
||||
}
|
||||
|
||||
int[] baseLine = new int[1];
|
||||
Size labelSize = Imgproc.getTextSize(label, Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, 1, baseLine);
|
||||
|
||||
top = Mathf.Max((float)top, (float)labelSize.height);
|
||||
Imgproc.rectangle(image, new Point(left, top - labelSize.height),
|
||||
new Point(left + labelSize.width, top + baseLine[0]), color, Core.FILLED);
|
||||
Imgproc.putText(image, label, new Point(left, top), Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, Scalar.all(255), 1, Imgproc.LINE_AA);
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Raises the destroy event.
|
||||
|
|
@ -280,11 +211,9 @@ namespace Yoga
|
|||
{
|
||||
_webCamTextureToMatHelper.Dispose();
|
||||
|
||||
if (_net != null)
|
||||
_net.Dispose();
|
||||
YogaManager.Instance.CurrentEstimator.Dispose();
|
||||
|
||||
_bgrMat.Dispose();
|
||||
_models.Clear();
|
||||
CVEstimator.Instance.Dispose();
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -8,7 +8,14 @@ public class ActionListUIPanel : UIPanelBase
|
|||
public void OnLoadBtnClicked(int index)
|
||||
{
|
||||
YogaManager.Instance.ActionIndex = index;
|
||||
YogaManager.Instance.InitData();
|
||||
LoadingManager.Instance.Load("YogaMain");
|
||||
UIManager.Instance.ClearPanel();
|
||||
}
|
||||
|
||||
public void OnBackBtnClicked()
|
||||
{
|
||||
UIManager.Instance.CloseCurrent();
|
||||
UIManager.Instance.ShowPanel<MainUIPanel>();
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -17,7 +17,11 @@ public class LoadingManager:MonoSingleton<LoadingManager>
|
|||
|
||||
private IEnumerator LoadingScene(string targetScene)
|
||||
{
|
||||
yield return new WaitForSeconds(3f);
|
||||
//演示用，正式版需要根据场景大小调整
|
||||
if (targetScene.Equals("YogaMain"))
|
||||
{
|
||||
yield return new WaitForSeconds(3f);
|
||||
}
|
||||
var loadNew = SceneManager.LoadSceneAsync(targetScene, LoadSceneMode.Single);
|
||||
loadNew.completed += (AsyncOperation obj2) =>
|
||||
{
|
||||
|
|
|
|||
|
|
@ -15,6 +15,9 @@ public class UIManager : MonoSingleton<UIManager>
|
|||
|
||||
public Camera UiCamera { get; set; }
|
||||
|
||||
private static bool _isInited = false;
|
||||
public static bool IsInited { get => _isInited; private set => _isInited = value; }
|
||||
|
||||
private RectTransform _uiPanelRoot;
|
||||
private RectTransform _uiPopRoot;
|
||||
|
||||
|
|
@ -27,6 +30,8 @@ public class UIManager : MonoSingleton<UIManager>
|
|||
|
||||
public override void Init()
|
||||
{
|
||||
if (_isInited)
|
||||
return;
|
||||
//查找当前scene的摄像机
|
||||
UiCamera = Camera.main;
|
||||
|
||||
|
|
@ -99,8 +104,14 @@ public class UIManager : MonoSingleton<UIManager>
|
|||
else
|
||||
_hud = transform.Find("HUDRoot").GetComponent<HudUI>();
|
||||
_hud.transform.SetSiblingIndex(3);
|
||||
_isInited = true;
|
||||
}
|
||||
|
||||
public void LoadReset()
|
||||
{
|
||||
_isInited = false;
|
||||
Init();
|
||||
}
|
||||
private T GetPanel<T>() where T : UIBase
|
||||
{
|
||||
Type type = typeof(T);
|
||||
|
|
|
|||
|
|
@ -139,9 +139,4 @@ public static class YogaConfig
|
|||
public static readonly double[] InMean = new double[] { 128.0, 128.0, 128.0 };
|
||||
}
|
||||
|
||||
public enum ModelType
|
||||
{
|
||||
OpenPose,
|
||||
YoloV7,
|
||||
//,
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -15,6 +15,7 @@ public class YogaDataLoader
|
|||
{
|
||||
VideoPath = "Video/Action2",
|
||||
Action = AvatarAction.Nod,
|
||||
ModelType = ModelType.OpenPose,
|
||||
MaxActionCount = 1000,
|
||||
TotalSeconds = 20.0f,
|
||||
MustPoints = new List<string>() { "Nose", "REye", "LEye", "Neck" },
|
||||
|
|
@ -25,6 +26,7 @@ public class YogaDataLoader
|
|||
{
|
||||
VideoPath = "Video/Action1",
|
||||
Action = AvatarAction.HeadShake,
|
||||
ModelType = ModelType.OpenPose,
|
||||
MaxActionCount = 4,
|
||||
TotalSeconds = 20.0f,
|
||||
MustPoints = new List<string>() { "Nose", "REye", "LEye", "Neck" }
|
||||
|
|
@ -33,6 +35,7 @@ public class YogaDataLoader
|
|||
{
|
||||
VideoPath = "Video/Action2",
|
||||
Action = AvatarAction.Nod,
|
||||
ModelType = ModelType.OpenPose,
|
||||
MaxActionCount = 4,
|
||||
TotalSeconds = 20.0f,
|
||||
MustPoints = new List<string>() { "Nose", "REye", "LEye", "Neck" }
|
||||
|
|
@ -41,6 +44,7 @@ public class YogaDataLoader
|
|||
{
|
||||
VideoPath = "Video/Action3",
|
||||
Action = AvatarAction.HandsUp,
|
||||
ModelType = ModelType.OpenPose,
|
||||
MaxActionCount = 4,
|
||||
TotalSeconds = 12.66f,
|
||||
MustPoints = new List<string>() { "Nose", "RShoulder", "LShoulder", "RightWrist" }
|
||||
|
|
@ -61,8 +65,17 @@ public class YogaData
|
|||
{
|
||||
public string VideoPath;
|
||||
public AvatarAction Action;
|
||||
public ModelType ModelType;
|
||||
public int MaxActionCount;
|
||||
public float TotalSeconds;
|
||||
public List<string> MustPoints = new List<string>();
|
||||
public List<string> AnyPoints = new List<string>();
|
||||
}
|
||||
|
||||
public enum ModelType
|
||||
{
|
||||
OpenPose,
|
||||
YoloV7,
|
||||
Mediapipe,
|
||||
//,
|
||||
}
|
||||
|
|
@ -33,8 +33,15 @@ public class YogaManager : MonoSingleton<YogaManager>
|
|||
private Dictionary<AvatarAction, PoseBase> _actions = new Dictionary<AvatarAction, PoseBase>();
|
||||
|
||||
|
||||
public YogaData Action { get => _action; set => _action = value; }
|
||||
public YogaData Action
|
||||
{
|
||||
get => _action;
|
||||
set => _action = value;
|
||||
}
|
||||
public Estimator CurrentEstimator { get => currentEstimator; internal set => currentEstimator = value; }
|
||||
|
||||
private YogaData _action = null;
|
||||
private Estimator currentEstimator;
|
||||
|
||||
public void InitData()
|
||||
{
|
||||
|
|
@ -126,7 +133,7 @@ public class YogaManager : MonoSingleton<YogaManager>
|
|||
{
|
||||
//Debug.LogError($"ActionCheckPoints failed, {p} is not valid");
|
||||
return false;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//不设的情况下，不检测
|
||||
|
|
@ -144,4 +151,4 @@ public class YogaManager : MonoSingleton<YogaManager>
|
|||
|
||||
return true;
|
||||
}
|
||||
}
|
||||
}
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 6.0 KiB |
|
|
@ -0,0 +1,124 @@
|
|||
fileFormatVersion: 2
|
||||
guid: 96b53986fbf913d47864b19cbe98e372
|
||||
TextureImporter:
|
||||
internalIDToNameTable: []
|
||||
externalObjects: {}
|
||||
serializedVersion: 12
|
||||
mipmaps:
|
||||
mipMapMode: 0
|
||||
enableMipMap: 0
|
||||
sRGBTexture: 1
|
||||
linearTexture: 0
|
||||
fadeOut: 0
|
||||
borderMipMap: 0
|
||||
mipMapsPreserveCoverage: 0
|
||||
alphaTestReferenceValue: 0.5
|
||||
mipMapFadeDistanceStart: 1
|
||||
mipMapFadeDistanceEnd: 3
|
||||
bumpmap:
|
||||
convertToNormalMap: 0
|
||||
externalNormalMap: 0
|
||||
heightScale: 0.25
|
||||
normalMapFilter: 0
|
||||
flipGreenChannel: 0
|
||||
isReadable: 0
|
||||
streamingMipmaps: 0
|
||||
streamingMipmapsPriority: 0
|
||||
vTOnly: 0
|
||||
ignoreMipmapLimit: 0
|
||||
grayScaleToAlpha: 0
|
||||
generateCubemap: 6
|
||||
cubemapConvolution: 0
|
||||
seamlessCubemap: 0
|
||||
textureFormat: 1
|
||||
maxTextureSize: 2048
|
||||
textureSettings:
|
||||
serializedVersion: 2
|
||||
filterMode: 1
|
||||
aniso: 1
|
||||
mipBias: 0
|
||||
wrapU: 1
|
||||
wrapV: 1
|
||||
wrapW: 0
|
||||
nPOTScale: 0
|
||||
lightmap: 0
|
||||
compressionQuality: 50
|
||||
spriteMode: 1
|
||||
spriteExtrude: 1
|
||||
spriteMeshType: 1
|
||||
alignment: 0
|
||||
spritePivot: {x: 0.5, y: 0.5}
|
||||
spritePixelsToUnits: 100
|
||||
spriteBorder: {x: 0, y: 0, z: 0, w: 0}
|
||||
spriteGenerateFallbackPhysicsShape: 1
|
||||
alphaUsage: 1
|
||||
alphaIsTransparency: 1
|
||||
spriteTessellationDetail: -1
|
||||
textureType: 8
|
||||
textureShape: 1
|
||||
singleChannelComponent: 0
|
||||
flipbookRows: 1
|
||||
flipbookColumns: 1
|
||||
maxTextureSizeSet: 0
|
||||
compressionQualitySet: 0
|
||||
textureFormatSet: 0
|
||||
ignorePngGamma: 0
|
||||
applyGammaDecoding: 0
|
||||
swizzle: 50462976
|
||||
cookieLightType: 0
|
||||
platformSettings:
|
||||
- serializedVersion: 3
|
||||
buildTarget: DefaultTexturePlatform
|
||||
maxTextureSize: 2048
|
||||
resizeAlgorithm: 0
|
||||
textureFormat: -1
|
||||
textureCompression: 1
|
||||
compressionQuality: 50
|
||||
crunchedCompression: 0
|
||||
allowsAlphaSplitting: 0
|
||||
overridden: 0
|
||||
androidETC2FallbackOverride: 0
|
||||
forceMaximumCompressionQuality_BC6H_BC7: 0
|
||||
- serializedVersion: 3
|
||||
buildTarget: Standalone
|
||||
maxTextureSize: 2048
|
||||
resizeAlgorithm: 0
|
||||
textureFormat: -1
|
||||
textureCompression: 1
|
||||
compressionQuality: 50
|
||||
crunchedCompression: 0
|
||||
allowsAlphaSplitting: 0
|
||||
overridden: 0
|
||||
androidETC2FallbackOverride: 0
|
||||
forceMaximumCompressionQuality_BC6H_BC7: 0
|
||||
- serializedVersion: 3
|
||||
buildTarget: Android
|
||||
maxTextureSize: 2048
|
||||
resizeAlgorithm: 0
|
||||
textureFormat: -1
|
||||
textureCompression: 1
|
||||
compressionQuality: 50
|
||||
crunchedCompression: 0
|
||||
allowsAlphaSplitting: 0
|
||||
overridden: 0
|
||||
androidETC2FallbackOverride: 0
|
||||
forceMaximumCompressionQuality_BC6H_BC7: 0
|
||||
spriteSheet:
|
||||
serializedVersion: 2
|
||||
sprites: []
|
||||
outline: []
|
||||
physicsShape: []
|
||||
bones: []
|
||||
spriteID: 5e97eb03825dee720800000000000000
|
||||
internalID: 0
|
||||
vertices: []
|
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indices:
|
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edges: []
|
||||
weights: []
|
||||
secondaryTextures: []
|
||||
nameFileIdTable: {}
|
||||
mipmapLimitGroupName:
|
||||
pSDRemoveMatte: 0
|
||||
userData:
|
||||
assetBundleName:
|
||||
assetBundleVariant:
|
||||
Loading…
Reference in New Issue