kinect for windows - DepthBasics-D2D详解

引自:http://blog.csdn.net/itcastcpp/article/details/20282667

Depth在kinect中经常被翻译为深度图,指的是图像到摄像头的距离,这些距离数据能让机器知道物理距离有多远。kinect通过两个红外摄像头来实现这个功能的。在这个例子里,就实现了深度图的提取和现实功能。

下面我们来研究下这个例子的代码,让我们对kinect for windows的开发包有个粗浅的认识。

代码结构:

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" alt="" />

主要的代码是DepthBasic.cpp,这个代码实现了深度图的读取

另外一个主要的代码文件时ImageRenderer,这个代码实现的是,将获取的深度图,展示在窗口上。

main函数:

int APIENTRY wWinMain(HINSTANCE hInstance, HINSTANCE hPrevInstance, LPWSTR lpCmdLine, int nCmdShow)
{
CDepthBasics application;
application.Run(hInstance, nCmdShow);
}

  从main函数看,main函数只调用了两个函数,一个是CDepthBasics的构造函数,另外一个是CDepthBasics的Run函数。构造函数只是初始化,我们略过,继续看Run函数。

CDepthBasics::Run函数,解释都在代码中,大家可以看注释

int CDepthBasics::Run(HINSTANCE hInstance, int nCmdShow)
{
MSG msg = {0};
WNDCLASS wc; // Dialog custom window class win32创建窗口前的准备工作,构造窗口类结构
ZeroMemory(&wc, sizeof(wc));
wc.style = CS_HREDRAW | CS_VREDRAW;
wc.cbWndExtra = DLGWINDOWEXTRA;
wc.hInstance = hInstance;
wc.hCursor = LoadCursorW(NULL, IDC_ARROW);
wc.hIcon = LoadIconW(hInstance, MAKEINTRESOURCE(IDI_APP));
wc.lpfnWndProc = DefDlgProcW;
wc.lpszClassName = L"DepthBasicsAppDlgWndClass"; // 注册窗口类
if (!RegisterClassW(&wc))
{
return 0;
} // Create main application window 用该窗口类创建对话框
HWND hWndApp = CreateDialogParamW(
hInstance,
MAKEINTRESOURCE(IDD_APP),
NULL,
(DLGPROC)CDepthBasics::MessageRouter,
reinterpret_cast<LPARAM>(this)); // Show window 显示对话框
ShowWindow(hWndApp, nCmdShow); // 这个用来检测kinect消息的event
const int eventCount = 1;
HANDLE hEvents[eventCount]; // Main message loop windwos消息循环,在这个消息循环里,如果没有kinect,那就是简单的处理窗口消息即可,但是....
while (WM_QUIT != msg.message)
{
// 为什么在这里赋值,相当于每次循环都赋值?因为这个句柄随着消息处理会变化
hEvents[0] = m_hNextDepthFrameEvent; // 检查kinect事件,第一个参数1表示等待一个句柄,第二个参数是消息数组,第三个参数指示是不是要等数组里的所有消息,参数是false
// 第四个参数是等待多久,INFINITE表示永远,第五个参数呢,因为第四个参数说没有kinect消息这个函数就一直阻塞这里,那么它肯定可能影响正常的windows消息处理
// 所以第五个参数表示说有些情况下也要打断这个等待,QS_ALLINPUT就表示在有windows消息时,该函数也不再阻塞的继续往下执行
DWORD dwEvent = MsgWaitForMultipleObjects(eventCount, hEvents, FALSE, INFINITE, QS_ALLINPUT); // Check if this is an event we're waiting on and not a timeout or message 返回WAIT_OBJECT_0表示kinect有消息来,否则表示没消息
if (WAIT_OBJECT_0 == dwEvent)
{
// 处理kinect的消息
Update();
} // 处理windows消息
if (PeekMessageW(&msg, NULL, 0, 0, PM_REMOVE))
{
// If a dialog message will be taken care of by the dialog proc
if ((hWndApp != NULL) && IsDialogMessageW(hWndApp, &msg))
{
continue;
} TranslateMessage(&msg);
DispatchMessageW(&msg);
}
} return static_cast<int>(msg.wParam);
}

  从Run函数可以看出,对kinect的处理主要在Update函数中,在看Update函数之前,我们要考虑一点,就是对象的初始化,在构造函数中,只是赋值为NULL,像m_hNextDepthFrameEvent这样的对象,它是啥时候被初始化的呢?这个就需要读者对windows窗口机制要有一些了解了,在Run的时候,调用CreateDialogParamW函数时,系统会给对话框发送窗口初始化消息WM_INITDIALOG消息,那么这些句柄的初始化,都是在窗口初始化的时候做的,所以在看Update函数之前,我们先看窗口初始化的处理:

LRESULT CALLBACK CDepthBasics::DlgProc(HWND hWnd, UINT message, WPARAM wParam, LPARAM lParam)
{
switch (message)
{
case WM_INITDIALOG:
{
// Bind application window handle
m_hWnd = hWnd; // Init Direct2D 初始化DirectX
D2D1CreateFactory(D2D1_FACTORY_TYPE_SINGLE_THREADED, &m_pD2DFactory); // Create and initialize a new Direct2D image renderer (take a look at ImageRenderer.h)
// We'll use this to draw the data we receive from the Kinect to the screen 创建图片展示对象
m_pDrawDepth = new ImageRenderer();
// 初始化展示对象,这里用到了窗口,用到了DirectX对象,以及宽度高度参数
HRESULT hr = m_pDrawDepth->Initialize(GetDlgItem(m_hWnd, IDC_VIDEOVIEW), m_pD2DFactory, cDepthWidth, cDepthHeight, cDepthWidth * sizeof(long));
if (FAILED(hr))
{
SetStatusMessage(L"Failed to initialize the Direct2D draw device.");
} // Look for a connected Kinect, and create it if found,连接kinect设备
CreateFirstConnected();
}
break;

  在DlgProc的消息处理函数中我们看到了WM_INITDIALOG的处理,在这里初始化了DirectX和ImageRenderer对象,最后调用了CreateFirstConnected函数去查找和初始化Kinect对象。

下面是初始化Kinect设备代码

HRESULT CDepthBasics::CreateFirstConnected()
{
INuiSensor * pNuiSensor;
HRESULT hr; int iSensorCount = 0;
hr = NuiGetSensorCount(&iSensorCount); // 获取连接的kinect数量
if (FAILED(hr))
{
return hr;
} // Look at each Kinect sensor 对每个kinect进行初始化
for (int i = 0; i < iSensorCount; ++i)
{
// Create the sensor so we can check status, if we can't create it, move on to the next
// 获取kinect对象
hr = NuiCreateSensorByIndex(i, &pNuiSensor);
if (FAILED(hr))
{
continue;
} // Get the status of the sensor, and if connected, then we can initialize it
// 查看kinect状态,有的设备没连接电源,也许有的设备有其他异常
hr = pNuiSensor->NuiStatus();
if (S_OK == hr) // 如果有一台正常的,那我们这个程序的初始化就算完毕了,因为这个例子只用一个kinect而已
{
m_pNuiSensor = pNuiSensor;
break;
} // This sensor wasn't OK, so release it since we're not using it 如果是不正常的设备,那么Release掉,免得内存泄露
pNuiSensor->Release();
} // 如果m_pNuiSensor不为空,那表明找到某一个正常的kinect设备了
if (NULL != m_pNuiSensor)
{
// 初始化kinect,用NUI_INITIALIZE_FLAG_USES_DEPTH表示要使用深度图
hr = m_pNuiSensor->NuiInitialize(NUI_INITIALIZE_FLAG_USES_DEPTH);
if (SUCCEEDED(hr))
{
// 创建这个Event,这个Event是kinect和应用程序通信的Event,当kinect有消息时,kinect SDK会通过SetEvent来通知应用程序
// 应用程序则通过WaitObject来等待这个Event,完成通信
m_hNextDepthFrameEvent = CreateEvent(NULL, TRUE, FALSE, NULL); // Open a depth image stream to receive depth frames
// 打开深度图流,用来接收图像
hr = m_pNuiSensor->NuiImageStreamOpen(
NUI_IMAGE_TYPE_DEPTH, // 表示要打开深度图流
NUI_IMAGE_RESOLUTION_640x480, // 深度图大小
0, // 帧设置,0表示无设置
2, // 缓存多少帧,最大为4
m_hNextDepthFrameEvent, // 用来通信的Event句柄
&m_pDepthStreamHandle); // 用来读取数据的流句柄,要从这里读取深度图数据
}
} if (NULL == m_pNuiSensor || FAILED(hr))
{
SetStatusMessage(L"No ready Kinect found!");
return E_FAIL;
} return hr;
}

  

通过上篇文章,我们了解了在视频图像从kinect开发包传输到应用程序之前的一系列初始化工作,那么这篇文章主要来叙述,如何将一帧图像数据获取到,并显示出来的。

更新窗口是在Run函数消息处理中,当KinectSDK触发了m_hNextDepthFrameEvent之后,上层收到这个Event就调用Update函数去更新窗口了。关键代码如下图,Run函数的全部代码也可以从上一篇博文中找到:

aaarticlea/png;base64,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" 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Update函数:

void CDepthBasics::Update()
{
if (NULL == m_pNuiSensor) // 如果pNuiSensor为空,那说明设备还没有初始化
{
return;
} // 继续判断m_hNextDepthFrameEvent是否有消息,其实这个判断这里可以去掉,但是考虑鲁棒性,还是留着吧
if ( WAIT_OBJECT_0 == WaitForSingleObject(m_hNextDepthFrameEvent, 0) )
{
ProcessDepth(); // 处理
}
}

  update函数做了一些错误处理,真正的更新窗口的代码在ProcessDepth中,接下来看ProcessDepth函数

void CDepthBasics::ProcessDepth()
{
HRESULT hr;
NUI_IMAGE_FRAME imageFrame; // 通过kinect对象,从m_pDepthStreamHandle中获取图像数据,还记得m_pDepthStreamHandle么,是在初始化kinect设备时创建的深度图流
// 在这里调用这个代码的意义是:将一帧深度图,保存在imageFrame中
hr = m_pNuiSensor->NuiImageStreamGetNextFrame(m_pDepthStreamHandle, 0, &imageFrame);
if (FAILED(hr))
{
return;
} BOOL nearMode;
INuiFrameTexture* pTexture; // Get the depth image pixel texture,通过imageFrame把数据转化成纹理
hr = m_pNuiSensor->NuiImageFrameGetDepthImagePixelFrameTexture(
m_pDepthStreamHandle, &imageFrame, &nearMode, &pTexture);
if (FAILED(hr))
{
goto ReleaseFrame;
} NUI_LOCKED_RECT LockedRect; // Lock the frame data so the Kinect knows not to modify it while we're reading it,锁定数据
pTexture->LockRect(0, &LockedRect, NULL, 0); // Make sure we've received valid data
if (LockedRect.Pitch != 0)
{
// Get the min and max reliable depth for the current frame
int minDepth = (nearMode ? NUI_IMAGE_DEPTH_MINIMUM_NEAR_MODE : NUI_IMAGE_DEPTH_MINIMUM) >> NUI_IMAGE_PLAYER_INDEX_SHIFT;
int maxDepth = (nearMode ? NUI_IMAGE_DEPTH_MAXIMUM_NEAR_MODE : NUI_IMAGE_DEPTH_MAXIMUM) >> NUI_IMAGE_PLAYER_INDEX_SHIFT; // 将m_depthRGBX的首地址保存在rgbrun,方便赋值
BYTE * rgbrun = m_depthRGBX;
const NUI_DEPTH_IMAGE_PIXEL * pBufferRun = reinterpret_cast<const NUI_DEPTH_IMAGE_PIXEL *>(LockedRect.pBits); // end pixel is start + width*height - 1
const NUI_DEPTH_IMAGE_PIXEL * pBufferEnd = pBufferRun + (cDepthWidth * cDepthHeight); // 对m_depthRGBX也就是rgbrun赋值
while ( pBufferRun < pBufferEnd )
{
// discard the portion of the depth that contains only the player index
USHORT depth = pBufferRun->depth; // To convert to a byte, we're discarding the most-significant
// rather than least-significant bits.
// We're preserving detail, although the intensity will "wrap."
// Values outside the reliable depth range are mapped to 0 (black). // Note: Using conditionals in this loop could degrade performance.
// Consider using a lookup table instead when writing production code.
BYTE intensity = static_cast<BYTE>(depth >= minDepth && depth <= maxDepth ? depth % 256 : 0); // Write out blue byte
*(rgbrun++) = intensity; // Write out green byte
*(rgbrun++) = intensity; // Write out red byte
*(rgbrun++) = intensity; // We're outputting BGR, the last byte in the 32 bits is unused so skip it
// If we were outputting BGRA, we would write alpha here.
++rgbrun; // Increment our index into the Kinect's depth buffer
++pBufferRun;
} // Draw the data with Direct2D 最后将m_depthRGBX保存的图片,显示在窗口上
m_pDrawDepth->Draw(m_depthRGBX, cDepthWidth * cDepthHeight * cBytesPerPixel);
} // We're done with the texture so unlock it,解锁和释放纹理
pTexture->UnlockRect(0);
pTexture->Release(); ReleaseFrame:
// Release the frame 释放帧
m_pNuiSensor->NuiImageStreamReleaseFrame(m_pDepthStreamHandle, &imageFrame);
}

  从以上代码可以看到处理Depth数据的流程,获取一个深度图帧,然后经过转换成RGB格式,最后通过ImageRenderer::Draw函数将其画出来。但是ImageRenderer的功能和Kinect关系不大,不是我们学习的重点,因此我们可以先忽略它。那么深度图的获取详细过程就到这里,在下一篇文章中,我们来总结一下这两篇文章所提到的一些Kinect SDK中的函数,并详细了解熟悉这些函数的参数,更进一步的学习Kinect SDK。

这篇文章我们将总结一下,之前两篇文章中提到的Kinect SDK的函数接。

函数接口:

NuiGetSensorCount: 获取连接的Kinect设备个数

原型:_Check_return_ HRESULT NUIAPI NuiGetSensorCount( _In_ int * pCount );

解释:KinectSDK支持多个Kinect设备连接,这个函数能获取到Kinect设备个数。

返回值:返回S_OK是成功,其他失败,其中E_POINTER表示pCount是空指针错误。

NuiCreateSensorByIndex:通过索引创建INuiSensor对象

原型:_Check_return_ HRESULT NUIAPI NuiCreateSensorByIndex( _In_ int index, _Out_ INuiSensor ** ppNuiSensor );

解释:通过指定的下标,获取对应的KinectSensor对象

返回值:返回S_OK是成功,其他失败,错误码有:E_INVALIDARG(index是负数),E_NUI_BADINDEX(index超出范围),E_POINTER(ppNuiSensor是空指针)

NuiStatus:获取Kinect设备状态,它是INuiSensor的成员函数

原型:virtual HRESULT STDMETHODCALLTYPE NuiStatus( void) = 0;

解释:当获取到INuiSensor对象时,应该调用这个函数查看Kinect设备状态,如果状态不对,也是不能使用的。

返回值:返回S_OK是正常,其他失败,错误码如下:

S_NUI_INITIALIZING The device is connected, but still initializing.设备初始化中
E_NUI_NOTCONNECTED The device is not connected.设备未连接
E_NUI_NOTGENUINE The device is not a valid Kinect.不是一个正常的Kinect
E_NUI_NOTSUPPORTED The device is an unsupported model.模式不支持
E_NUI_INSUFFICIENTBANDWIDTH The device is connected to a hub without the necessary bandwidth requirements.插到usb hub中产生的问题
E_NUI_NOTPOWERED The device is connected, but unpowered.没插电
E_NUI_NOTREADY There was some other unspecified error.未知错误

NuiInitialize:初始化Kinect设备

原型:virtual HRESULT STDMETHODCALLTYPE NuiInitialize( 
            /* [in] */ DWORD dwFlags) = 0;

参数:指定初始化模式

Constant Description
NUI_INITIALIZE_DEFAULT_HARDWARE_THREAD This flag was deprecated in version 1.5; it is no longer used.
NUI_INITIALIZE_FLAG_USES_AUDIO Initialize the sensor to provide audio data.
NUI_INITIALIZE_FLAG_USES_COLOR Initialize the sensor to provide color data.
NUI_INITIALIZE_FLAG_USES_DEPTH Initialize the sensor to provide depth data.
NUI_INITIALIZE_FLAG_USES_DEPTH_AND_PLAYER_INDEX Initialize the sensor to provide depth data with a player index.
NUI_INITIALIZE_FLAG_USES_SKELETON Initialize the sensor to provide skeleton data.

解释:一个设备只有第一次调用这个函数时候会成功,其他应用程序再调用这个函数会失败,也就是说一个设备只能给一个程序用。

返回值:S_OK成功,其他失败

NuiImageStreamOpen:打开Kinect流

原型: virtual HRESULT STDMETHODCALLTYPE NuiImageStreamOpen( 
            /* [in] */ NUI_IMAGE_TYPE eImageType,                        // 类型
            /* [in] */ NUI_IMAGE_RESOLUTION eResolution,        // 分辨率
            /* [in] */ DWORD dwImageFrameFlags,                         // 帧事件选项
            /* [in] */ DWORD dwFrameLimit,                                      //  kinect缓存的帧数量
            /* [in] */ HANDLE hNextFrameEvent,                                // 手动reset的event,当下一帧数据到来时,kinect会reset它
            /* [out] */ HANDLE *phStreamHandle) = 0;                  //  数据流句柄

返回值:S_OK表示成功,其他失败

Error Description
E_FAIL An unspecified error occurred.
E_INVALIDARG The value of the dwFlags parameter is NULL.
E_NUI_DEVICE_NOT_READY Kinect has not been initialized.
E_OUTOFMEMORY The allocation failed.
E_POINTER The hNextFrameEvent parameter is an invalid handle.

NuiImageStreamGetNextFrame:取一帧数据

原型:virtual HRESULT STDMETHODCALLTYPE NuiImageStreamGetNextFrame( 
            /* [in] */ HANDLE hStream, // 数据流
            /* [in] */ DWORD dwMillisecondsToWait,           // 等待时间
            /* [retval][out] */ NUI_IMAGE_FRAME *pImageFrame) = 0;  // 保存数据的指针

返回值:S_OK成功,其他失败

Error Description
S_FALSE The waiting timeout expired before a frame was available and hStream was opened using the NUI_IMAGE_STREAM_FLAG_SUPPRESS_NO_FRAME_DATA flag.
E_INVALIDARG The value of the hStream parameter is NULL.
E_NUI_FRAME_NO_DATA The waiting timeout expired before a frame was available.
E_POINTER The value of the pImageFrame parameter is NULL.

NuiImageFrameGetDepthImagePixelFrameTexture:将深度图转化成纹理

原型:virtual HRESULT STDMETHODCALLTYPE NuiImageFrameGetDepthImagePixelFrameTexture(

/* [in] */ HANDLE hStream,                                        // 数据流
            /* [in] */ NUI_IMAGE_FRAME *pImageFrame,       // 帧数据
            /* [out] */ BOOL *pNearMode,                                    // 近模式,如果kinect离物体比较近,一般就会选择近模式
            /* [out] */ INuiFrameTexture **ppFrameTexture) = 0;   // 输出参数,转换后的纹理

返回值:S_OK成功,其他失败

LockRect:锁住矩形区域数据,让Kinect不要修改那些数据

原型:virtual HRESULT STDMETHODCALLTYPE LockRect(

UINT Level,    // 必须为0

NUI_LOCKED_RECT* pLockedRect,  // 传出参数,记录矩形

RECT* pRect,   // 该参数暂时不用

DWORD flags) = 0;  // 该参数暂时不用

返回值:S_OK成功,其他失败

Error Description
E_INVALIDARG The Level parameter is not zero.
E_OUTOFMEMORY The texture buffer could not be allocated.
E_POINTER The pLockedRect parameter is NULL or the texture has zero height.

UnlockRect:解锁

原型:HRESULT UnlockRect(UINT level); // Level参数必须为0

返回值:S_OK成功,其他失败,可能的错误码为E_INVALIDARG(level参数不为0)

Error Description
S_FALSE The waiting timeout expired before a frame was available and hStream was opened using the NUI_IMAGE_STREAM_FLAG_SUPPRESS_NO_FRAME_DATA flag.
E_INVALIDARG The value of the hStream parameter is NULL.
E_NUI_FRAME_NO_DATA The waiting timeout expired before a frame was available.
E_POINTER The value of the pImageFrame parameter is NULL.
 
 
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