Kinect を使用して、学校のプロジェクトで顔を追跡しています。Visual Studio 2012 をセットアップし、すべてのテスト プログラムが正しく動作しています。ただし、このコードを実行しようとすると、エラーが発生します。コードを修正しようと何度も試みた後、次のエラーが発生します。
「アプリケーションを正しく起動できませんでした (0xc000007b)。[OK] をクリックしてアプリケーションを閉じます。
良いことは、それがついに実行されることです。悪い点は、コンパイラがこのあいまいなエラー以外のエラーをスローしないことです。
私たちは完全に迷っており、誰かが私たちを助けてくれるか、正しい方向に向けてくれることを願っています. ご協力いただきありがとうございます。
コード：
#include "stdafx.h"
#include <iostream>
#include <Windows.h>
#include <NuiApi.h>
#include <FaceTrackLib.h>
#include <NuiSensor.h>
using namespace std;
HANDLE rgbStream;
HANDLE depthStream;
INuiSensor* sensor;
#define width 640
#define height 480
bool initKinect() {
// Get a working kinect sensor
int numSensors;
if (NuiGetSensorCount(&numSensors) < 0 || numSensors < 1) return false;
if (NuiCreateSensorByIndex(0, &sensor) < 0) return false;
// Initialize sensor
sensor->NuiInitialize(NUI_INITIALIZE_FLAG_USES_DEPTH | NUI_INITIALIZE_FLAG_USES_COLOR);
sensor->NuiImageStreamOpen(
NUI_IMAGE_TYPE_COLOR, // Depth camera or rgb camera?
NUI_IMAGE_RESOLUTION_640x480, // Image resolution
0, // Image stream flags, e.g. near mode
2, // Number of frames to buffer
NULL, // Event handle
&rgbStream);
// --------------- END CHANGED CODE -----------------
return true;
}
BYTE* dataEnd;
USHORT* dataEndD;
void getKinectDataD(){
NUI_IMAGE_FRAME imageFrame;
NUI_LOCKED_RECT LockedRect;
if (sensor->NuiImageStreamGetNextFrame(rgbStream, 0, &imageFrame) < 0) return;
INuiFrameTexture* texture = imageFrame.pFrameTexture;
texture->LockRect(0, &LockedRect, NULL, 0);
const USHORT* curr = (const USHORT*)LockedRect.pBits;
const USHORT* dataEnding = curr + (width*height);
if (LockedRect.Pitch != 0)
{
const BYTE* curr = (const BYTE*)LockedRect.pBits;
dataEnd = (BYTE*)(curr + (width*height) * 4);
}
while (curr < dataEnding) {
// Get depth in millimeters
USHORT depth = NuiDepthPixelToDepth(*curr++);
dataEndD = (USHORT*)depth;
// Draw a grayscale image of the depth:
// B,G,R are all set to depth%256, alpha set to 1.
}
texture->UnlockRect(0);
sensor->NuiImageStreamReleaseFrame(rgbStream, &imageFrame);
}
// This example assumes that the application provides
// void* cameraFrameBuffer, a buffer for an image, and that there is a method
// to fill the buffer with data from a camera, for example
// cameraObj.ProcessIO(cameraFrameBuffer)
int main(){
initKinect();
// Create an instance of a face tracker
IFTFaceTracker* pFT = FTCreateFaceTracker();
if (!pFT)
{
// Handle errors
}
// Initialize cameras configuration structures.
// IMPORTANT NOTE: resolutions and focal lengths must be accurate, since it affects tracking precision!
// It is better to use enums defined in NuiAPI.h
// Video camera config with width, height, focal length in pixels
// NUI_CAMERA_COLOR_NOMINAL_FOCAL_LENGTH_IN_PIXELS focal length is computed for 640x480 resolution
// If you use different resolutions, multiply this focal length by the scaling factor
FT_CAMERA_CONFIG videoCameraConfig = { 640, 480, NUI_CAMERA_COLOR_NOMINAL_FOCAL_LENGTH_IN_PIXELS };
// Depth camera config with width, height, focal length in pixels
// NUI_CAMERA_COLOR_NOMINAL_FOCAL_LENGTH_IN_PIXELS focal length is computed for 320x240 resolution
// If you use different resolutions, multiply this focal length by the scaling factor
FT_CAMERA_CONFIG depthCameraConfig = { 320, 240, NUI_CAMERA_DEPTH_NOMINAL_FOCAL_LENGTH_IN_PIXELS };
// Initialize the face tracker
HRESULT hr = pFT->Initialize(&videoCameraConfig, &depthCameraConfig, NULL, NULL);
if (FAILED(hr))
{
// Handle errors
}
// Create a face tracking result interface
IFTResult* pFTResult = NULL;
hr = pFT->CreateFTResult(&pFTResult);
if (FAILED(hr))
{
// Handle errors
}
// Prepare image interfaces that hold RGB and depth data
IFTImage* pColorFrame = FTCreateImage();
IFTImage* pDepthFrame = FTCreateImage();
if (!pColorFrame || !pDepthFrame)
{
// Handle errors
}
// Attach created interfaces to the RGB and depth buffers that are filled with
// corresponding RGB and depth frame data from Kinect cameras
pColorFrame->Attach(640, 480, dataEnd, FTIMAGEFORMAT_UINT8_R8G8B8, 640 * 3);
pDepthFrame->Attach(320, 240, dataEndD, FTIMAGEFORMAT_UINT16_D13P3, 320 * 2);
// You can also use Allocate() method in which case IFTImage interfaces own their memory.
// In this case use CopyTo() method to copy buffers
FT_SENSOR_DATA sensorData;
sensorData.ZoomFactor = 1.0f; // Not used must be 1.0
bool isFaceTracked = false;
// Track a face
while (true)
{
// Call Kinect API to fill videoCameraFrameBuffer and depthFrameBuffer with RGB and depth data
getKinectDataD();
// Check if we are already tracking a face
if (!isFaceTracked)
{
// Initiate face tracking.
// This call is more expensive and searches the input frame for a face.
hr = pFT->StartTracking(&sensorData, NULL, NULL, pFTResult);
if (SUCCEEDED(hr))
{
isFaceTracked = true;
}
else
{
// No faces found
isFaceTracked = false;
}
}
else
{
// Continue tracking. It uses a previously known face position.
// This call is less expensive than StartTracking()
hr = pFT->ContinueTracking(&sensorData, NULL, pFTResult);
if (FAILED(hr))
{
// Lost the face
isFaceTracked = false;
}
}
// Do something with pFTResult like visualize the mask, drive your 3D avatar,
// recognize facial expressions
}
// Clean up
pFTResult->Release();
pColorFrame->Release();
pDepthFrame->Release();
pFT->Release();
return 0;
}