std::stringstream cloud_xyz_comp(VideoFrameRef frame,VideoStream &stream,bool showstats)
{
std::stringstream comp_data;
pcl::PointCloud<pcl::PointXYZ> cloud;
if(frame.getData() == NULL) std::cout<<"Empty data\n..";
float px,py,pz;
DepthPixel *depthp,dp;
Status status;
cloud.width = frame.getWidth();
cloud.height = frame.getHeight();
cloud.resize(cloud.height * cloud.width);
int count=0;
depthp = (DepthPixel*)((char*)frame.getData());
for(int y=0;y<frame.getHeight();y++)
{
for(int x=0;x<frame.getWidth();x++)
{
dp=*depthp;
status = CoordinateConverter::convertDepthToWorld(stream,x,y,dp,&px,&py,&pz);
if(!handlestatus(status)) exit(0);
cloud.points[x + (frame.getStrideInBytes() * y)/2].x = (px);
cloud.points[x + (frame.getStrideInBytes() * y)/2].y = (py);
cloud.points[x + (frame.getStrideInBytes() * y)/2].z = (pz);
depthp++;
}
}
pcl::PointCloud<pcl::PointXYZ>::ConstPtr const_cloud(new pcl::PointCloud<pcl::PointXYZ>(cloud));
pcl::octree::PointCloudCompression<pcl::PointXYZ> *encoder;
pcl::octree::compression_Profiles_e comp_profile = pcl::octree::LOW_RES_ONLINE_COMPRESSION_WITHOUT_COLOR;
encoder = new pcl::octree::PointCloudCompression<pcl::PointXYZ>(comp_profile,showstats);
encoder->encodePointCloud(const_cloud,comp_data);
return comp_data;
}
void analyzeFrame(const VideoFrameRef& frame)
{
DepthPixel* pDepth;
RGB888Pixel* pColor;
int middleIndex = (frame.getHeight()+1)*frame.getWidth()/2;
switch (frame.getVideoMode().getPixelFormat())
{
case PIXEL_FORMAT_DEPTH_1_MM:
case PIXEL_FORMAT_DEPTH_100_UM:
pDepth = (DepthPixel*)frame.getData();
printf("[%08llu] %8d\n", (long long)frame.getTimestamp(),
pDepth[middleIndex]);
break;
case PIXEL_FORMAT_RGB888:
pColor = (RGB888Pixel*)frame.getData();
printf("[%08llu] 0x%02x%02x%02x\n", (long long)frame.getTimestamp(),
pColor[middleIndex].r&0xff,
pColor[middleIndex].g&0xff,
pColor[middleIndex].b&0xff);
break;
default:
printf("Unknown format\n");
}
}
pcl::PointCloud<pcl::PointXYZ> cloud_xyz(VideoFrameRef frame,VideoStream &stream)
{
pcl::PointCloud<pcl::PointXYZ> cloud;
if(frame.getData() == NULL) std::cout<<"Empty data\n..";
float px,py,pz;
DepthPixel *depthp,dp;
Status status;
cloud.width = frame.getWidth();
cloud.height = frame.getHeight();
cloud.resize(cloud.height * cloud.width);
int count=0;
depthp = (DepthPixel*)((char*)frame.getData());
for(int y=0;y<frame.getHeight();y++)
{
for(int x=0;x<frame.getWidth();x++)
{
dp=*depthp;
status = CoordinateConverter::convertDepthToWorld(stream,x,y,dp,&px,&py,&pz);
if(!handlestatus(status)) exit(0);
cloud.points[x + (frame.getStrideInBytes() * y)/2].x = (px);
cloud.points[x + (frame.getStrideInBytes() * y)/2].y = (py);
cloud.points[x + (frame.getStrideInBytes() * y)/2].z = (pz);
depthp++;
}
}
return cloud;
}
/**
Reads a frame.
@return If no frame can be read or the frame read is not valid returns false, otherwise returns true.
*/
bool Kinect::readFrame(cv::Mat &frame, CameraMode camMode)
{
VideoFrameRef irf;
int hIr, wIr;
VideoFrameRef colorf;
int hColor, wColor;
switch (camMode)
{
case (NI_SENSOR_DEPTH):
rc = depth.readFrame(&irf);
if (irf.isValid())
{
const uint16_t* imgBufIr = (const uint16_t*)irf.getData();
hIr = irf.getHeight();
wIr = irf.getWidth();
frame.create(hIr, wIr, CV_16U);
memcpy(frame.data, imgBufIr, hIr * wIr * sizeof(uint16_t));
frame.convertTo(frame, CV_8U);
return true;
}
else
{
cout << "ERROR: Frame not valid." << endl;
return false;
}
case (NI_SENSOR_COLOR):
rc = color.readFrame(&colorf);
if(colorf.isValid())
{
const openni::RGB888Pixel* imgBufColor = (const openni::RGB888Pixel*)colorf.getData();
hColor = colorf.getHeight();
wColor = colorf.getWidth();
frame.create(hColor, wColor, CV_8UC3);
memcpy(frame.data, imgBufColor, 3 * hColor * wColor * sizeof(uint8_t));
cvtColor(frame, frame, CV_BGR2RGB);
return true;
}
else
{
cout << "ERROR: Frame not valid." << endl;
return false;
}
default:
cout << "ERROR: No frame to be read. Object not initialize." << endl;
return false;
}
}
void XtionDepthDriverImpl::onNewFrame(VideoStream &stream)
{
VideoFrameRef ref;
stream.readFrame(&ref);
_lastCaptured = XtionDepthImage(ref.getData(), ref.getDataSize(),
ref.getWidth(), ref.getHeight(), 0, this);
}
Status ClosestPoint::getNextData(IntPoint3D& closestPoint, VideoFrameRef& rawFrame)
{
Status rc = m_pInternal->m_pDepthStream->readFrame(&rawFrame);
if (rc != STATUS_OK)
{
printf("readFrame failed\n%s\n", OpenNI::getExtendedError());
}
DepthPixel* pDepth = (DepthPixel*)rawFrame.getData();
bool found = false;
closestPoint.Z = 0xffff;
int width = rawFrame.getWidth();
int height = rawFrame.getHeight();
for (int y = 0; y < height; ++y)
for (int x = 0; x < width; ++x, ++pDepth)
{
if (*pDepth < closestPoint.Z && *pDepth != 0)
{
closestPoint.X = x;
closestPoint.Y = y;
closestPoint.Z = *pDepth;
found = true;
}
}
if (!found)
{
return STATUS_ERROR;
}
return STATUS_OK;
}
virtual void onNewFrame(VideoStream& stream)
{
ros::Time ts = ros::Time::now();
VideoFrameRef frame;
stream.readFrame(&frame);
sensor_msgs::Image::Ptr img(new sensor_msgs::Image);
sensor_msgs::CameraInfo::Ptr info(new sensor_msgs::CameraInfo);
double scale = double(frame.getWidth()) / double(1280);
info->header.stamp = ts;
info->header.frame_id = frame_id_;
info->width = frame.getWidth();
info->height = frame.getHeight();
info->K.assign(0);
info->K[0] = 1050.0 * scale;
info->K[4] = 1050.0 * scale;
info->K[2] = frame.getWidth() / 2.0 - 0.5;
info->K[5] = frame.getHeight() / 2.0 - 0.5;
info->P.assign(0);
info->P[0] = 1050.0 * scale;
info->P[5] = 1050.0 * scale;
info->P[2] = frame.getWidth() / 2.0 - 0.5;
info->P[6] = frame.getHeight() / 2.0 - 0.5;
switch(frame.getVideoMode().getPixelFormat())
{
case PIXEL_FORMAT_GRAY8:
img->encoding = sensor_msgs::image_encodings::MONO8;
break;
case PIXEL_FORMAT_GRAY16:
img->encoding = sensor_msgs::image_encodings::MONO16;
break;
case PIXEL_FORMAT_YUV422:
img->encoding = sensor_msgs::image_encodings::YUV422;
break;
case PIXEL_FORMAT_RGB888:
img->encoding = sensor_msgs::image_encodings::RGB8;
break;
case PIXEL_FORMAT_SHIFT_9_2:
case PIXEL_FORMAT_DEPTH_1_MM:
img->encoding = sensor_msgs::image_encodings::TYPE_16UC1;
break;
default:
ROS_WARN("Unknown OpenNI pixel format!");
break;
}
img->header.stamp = ts;
img->header.frame_id = frame_id_;
img->height = frame.getHeight();
img->width = frame.getWidth();
img->step = frame.getStrideInBytes();
img->data.resize(frame.getDataSize());
std::copy(static_cast<const uint8_t*>(frame.getData()), static_cast<const uint8_t*>(frame.getData()) + frame.getDataSize(), img->data.begin());
publish(img, info);
}
void copyFrameToImage(VideoFrameRef frame, DepthImage& image)
{
if (image.height() != frame.getHeight() || image.width() != frame.getWidth())
{
image = DepthImage(
DepthImage::Data(
static_cast<const uint16_t*>(frame.getData()),
static_cast<const uint16_t*>(frame.getData()) + frame.getWidth() * frame.getHeight()),
frame.getWidth(),
frame.getHeight());
}
else
{
image.data(DepthImage::Data(
static_cast<const uint16_t*>(frame.getData()),
static_cast<const uint16_t*>(frame.getData()) + frame.getWidth() * frame.getHeight()));
}
}
void DepthCallback::analyzeFrame(const VideoFrameRef& frame)
{
Mat image;
image.create(frame.getHeight(),frame.getWidth(),CV_16UC1);
const openni::DepthPixel* pImageRow = (const openni::DepthPixel*)frame.getData();
memcpy(image.data,pImageRow,frame.getStrideInBytes() * frame.getHeight());
// image *= 16;
if (createCVWindow)
{
imshow( "DepthWindow", image );
waitKey(10);
}
// cout<<"New depth frame w: "<<frame.getWidth()<<" h: "<<frame.getHeight()<<endl;
if (saveOneFrame || saveFrameSequence)
{
char buffer[50];
sprintf(buffer,"depth%lld.png",frame.getTimestamp());
imwrite(buffer,image);
saveOneFrame = false;
std::cout<<"DepthCallback :: saved file "<<buffer<<std::endl;
}
if (publishRosMessage)
{
cv_bridge::CvImage aBridgeImage;
aBridgeImage.image = image;
aBridgeImage.encoding = "mono16";
cv::flip(aBridgeImage.image,aBridgeImage.image,1);
sensor_msgs::ImagePtr rosImage = aBridgeImage.toImageMsg();
// rosImage.get()->header.frame_id="/camera_depth_optical_frame";
rosImage.get()->header.frame_id=string("/") + string (m_CameraNamespace)+string("_depth_optical_frame");
rosImage.get()->encoding="16UC1";
rosImage.get()->header.stamp = ros::Time::now();
m_RosPublisher.publish(rosImage);
sensor_msgs::CameraInfo camInfo;
camInfo.width = frame.getWidth();
camInfo.height = frame.getHeight();
camInfo.distortion_model = "plumb_bob";
camInfo.K = {{570.3422241210938, 0.0, 314.5, 0.0, 570.3422241210938, 235.5, 0.0, 0.0, 1.0}};
camInfo.R = {{1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0}};
camInfo.P = {{570.3422241210938, 0.0, 314.5, -21.387834254417157, 0.0, 570.3422241210938, 235.5, 0.0, 0.0, 0.0, 1.0, 0.0}};
double D[5] = {0.0,0.0,0.0,0.0,0.0};
camInfo.D.assign(&D[0], &D[0]+5);
camInfo.header.frame_id = string("/") + string (m_CameraNamespace)+string("_depth_optical_frame");
camInfo.header.stamp = rosImage.get()->header.stamp;
m_RosCameraInfoPublisher.publish(camInfo);
}
}
void KinectHelper::consume_color(VideoFrameRef frame){
/// Fetch new color frame from the frame listener class
/// Get color data from the frame just fetched
const openni::RGB888Pixel* imageBuffer = (const openni::RGB888Pixel*) frame.getData();
(*color_back_buffer) = QImage((uchar*) imageBuffer, frame.getWidth(), frame.getHeight(), QImage::Format_RGB888);
_mutex.lock();
qSwap(color_front_buffer, color_back_buffer);
_mutex.unlock();
}
const short unsigned int *wb_kinect_get_range_image_mm(WbDeviceTag tag) {
if(kinectenable) {
int i;
int changedStreamDummy;
VideoStream* pStream = &depth;
rc = OpenNI::waitForAnyStream(&pStream, 1, &changedStreamDummy, SAMPLE_READ_WAIT_TIMEOUT);
if (rc != STATUS_OK)
{
printf("Wait failed! (timeout is %d ms)\n%s\n", SAMPLE_READ_WAIT_TIMEOUT, OpenNI::getExtendedError());
return NULL;
}
rc = depth.readFrame(&frame);
if (rc != STATUS_OK)
{
printf("Read failed!\n%s\n", OpenNI::getExtendedError());
return NULL;
}
if (frame.getVideoMode().getPixelFormat() != PIXEL_FORMAT_DEPTH_1_MM && frame.getVideoMode().getPixelFormat() != PIXEL_FORMAT_DEPTH_100_UM)
{
printf("Unexpected frame format\n");
return NULL;
}
DepthPixel* pDepth = (DepthPixel*)frame.getData();
height_pixels = frame.getHeight();
width_pixels = frame.getWidth();
if (width_pixels>160){
//Fix blind column
for(i=0;i<height_pixels;i++){
pDepth[i*width_pixels + 0] = pDepth[i*width_pixels + 3];
pDepth[i*width_pixels + 1] = pDepth[i*width_pixels + 3];
pDepth[i*width_pixels + 2] = pDepth[i*width_pixels + 3];
}
} else {
for(i=0;i<height_pixels;i++){
pDepth[i*width_pixels + 0] = pDepth[i*width_pixels + 1];
}
}
return pDepth;
}
// kinect not enable
fprintf(stderr, "2.Please enable the kinect before to use wb_kinect_get_range_image()\n");
return NULL;
}
// save depth images
void saveDepthImage(const std::string name, const VideoFrameRef &depthFrame)
{
int height = depthFrame.getHeight();
int width = depthFrame.getWidth();
cv::Mat image = cv::Mat::zeros(height, width, CV_16UC1);
DepthPixel *pDepth = (DepthPixel *)depthFrame.getData();
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
image.at<uint16_t>(i, j) = (uint16_t)(*pDepth);
pDepth++;
}
}
cv::imwrite(name, image);
}
BBox3 KinectHelper::compute_frame_bbox(VideoFrameRef frame){
// qDebug() << "KinectThread::setBoundingBox(VideoFrameRef frame)";
/// Get depth data from the frame just fetched
const openni::DepthPixel* pDepth = (const openni::DepthPixel*)frame.getData();
float wx,wy,wz;
BBox3 box; box.setNull();
for (int y = 0; y<frame.getHeight(); ++y){
for(int x = 0; x<frame.getWidth(); ++x){
DepthPixel d = *pDepth;
pDepth++;
CoordinateConverter::convertDepthToWorld(depth, x, y, d, &wx, &wy, &wz);
box.extend( Vector3(wx,wy,wz) );
}
}
this->_bbox = box;
}
bool OpenNI2CameraImpl::copyInfrared( OpenNI2Camera::FrameView& frame )
{
frame.infraredUpdated = false;
VideoFrameRef src;
Status rc = m_infraredStream.readFrame( &src );
if( rc == STATUS_OK )
{
Array2DReadView< uint16_t > srcData( src.getData(),
{ src.getWidth(), src.getHeight() },
{ sizeof( uint16_t ), src.getStrideInBytes() } );
frame.infraredTimestampNS =
usToNS( static_cast< int64_t >( src.getTimestamp() ) );
frame.infraredFrameNumber = src.getFrameIndex();
frame.infraredUpdated = copy( srcData, frame.infrared );
return frame.infraredUpdated;
}
return false;
}
Status NUIPoints::getNextData(std::list<cv::Point3f>& nuiPoints, VideoFrameRef& rawFrame)
{
Status rc = m_pInternal->m_pDepthStream->readFrame(&rawFrame);
if (rc != STATUS_OK)
{
printf("readFrame failed\n%s\n", OpenNI::getExtendedError());
}
DepthPixel* pDepth = (DepthPixel*)rawFrame.getData();
bool found = false;
cv::Point3f nuiPoint;
int width = rawFrame.getWidth();
int height = rawFrame.getHeight();
for (int x = 1; x < width / 6.0; ++x) {
for (int y = 1; y < height - (height / 4.5); ++y)
{
if (pDepth[y * width + x] < FAR_LIMIT
&& pDepth[y * width + x] != 0
&& (ZERO_TO_INFINITY(pDepth[(y + 1) * width + (x + 1)]) - pDepth[y * width + x] > DEPTH_TRESHOLD
|| ZERO_TO_INFINITY(pDepth[(y - 1) * width + (x + 1)]) - pDepth[y * width + x] > DEPTH_TRESHOLD
|| ZERO_TO_INFINITY(pDepth[(y + 1) * width + (x - 1)]) - pDepth[y * width + x] > DEPTH_TRESHOLD
|| ZERO_TO_INFINITY(pDepth[(y - 1) * width + (x - 1)]) - pDepth[y * width + x] > DEPTH_TRESHOLD))
{
nuiPoint.x = x;
nuiPoint.y = y;
nuiPoint.z = pDepth[y * width + x];
nuiPoints.push_back(nuiPoint);
}
}
}
if (nuiPoints.empty())
{
return STATUS_ERROR;
}
return STATUS_OK;
}
void KinectHelper::consume_depth(VideoFrameRef frame){
/// Get depth data from the frame just fetched
const openni::DepthPixel* pDepth = (const openni::DepthPixel*)frame.getData();
float wx,wy,wz;
/// NaN values must be handled well and not displayed by OpenGL
for (int y = 0; y<frame.getHeight(); ++y){
for(int x = 0; x<frame.getWidth(); ++x){
DepthPixel d = *pDepth;
pDepth++;
/// Convert depth coordinates to world coordinates to remove camera intrinsics
CoordinateConverter::convertDepthToWorld(depth, x, y, d, &wx, &wy, &wz);
/// Change the coordinates of the vertices in the model
(*points_back_buffer)(y,x) = Vector3(wx,wy,wz);
}
}
/// Now swap front and back buffers
_mutex.lock();
qSwap(points_front_buffer, points_back_buffer);
_mutex.unlock();
}
int
main (int argc, char** argv)
{
Status rc = OpenNI::initialize();
if (rc != STATUS_OK)
{
std::cout << "Initialize failed: " << OpenNI::getExtendedError() << std::endl;
return 1;
}
Device device;
rc = device.open(ANY_DEVICE);
if (rc != STATUS_OK)
{
std::cout << "Couldn't open device: " << OpenNI::getExtendedError() << std::endl;
return 2;
}
VideoStream stream;
if (device.getSensorInfo(currentSensor) != NULL)
{
rc = stream.create(device, currentSensor);
if (rc != STATUS_OK)
{
std::cout << "Couldn't create stream: " << OpenNI::getExtendedError() << std::endl;
return 3;
}
}
rc = stream.start();
if (rc != STATUS_OK)
{
std::cout << "Couldn't start the stream: " << OpenNI::getExtendedError() << std::endl;
return 4;
}
VideoFrameRef frame;
//now open the video writer
Size S = Size(stream.getVideoMode().getResolutionX(),
stream.getVideoMode().getResolutionY());
VideoWriter outputVideo;
std::string fileName = "out.avi";
outputVideo.open(fileName, -1, stream.getVideoMode().getFps(), S, currentSensor == SENSOR_COLOR ? true : false);
if (!outputVideo.isOpened())
{
std::cout << "Could not open the output video for write: " << fileName << std::endl;
return -1;
}
while (waitKey(50) == -1)
{
int changedStreamDummy;
VideoStream* pStream = &stream;
rc = OpenNI::waitForAnyStream(&pStream, 1, &changedStreamDummy, SAMPLE_READ_WAIT_TIMEOUT);
if (rc != STATUS_OK)
{
std::cout << "Wait failed! (timeout is " << SAMPLE_READ_WAIT_TIMEOUT << "ms): " << OpenNI::getExtendedError() << std::endl;
continue;
}
rc = stream.readFrame(&frame);
if (rc != STATUS_OK)
{
std::cout << "Read failed:" << OpenNI::getExtendedError() << std::endl;
continue;
}
Mat image;
switch (currentSensor)
{
case SENSOR_COLOR:
image = Mat(frame.getHeight(), frame.getWidth(), CV_8UC3, (void*)frame.getData());
break;
case SENSOR_DEPTH:
image = Mat(frame.getHeight(), frame.getWidth(), DataType<DepthPixel>::type, (void*)frame.getData());
break;
case SENSOR_IR:
image = Mat(frame.getHeight(), frame.getWidth(), CV_8U, (void*)frame.getData());
break;
default:
break;
}
namedWindow( "Display window", WINDOW_AUTOSIZE ); // Create a window for display.
imshow( "Display window", image ); // Show our image inside it.
outputVideo << image;
}
stream.stop();
stream.destroy();
device.close();
OpenNI::shutdown();
return 0;
}
int main()
{
// 2. initialize OpenNI
Status rc = OpenNI::initialize();
if (rc != STATUS_OK)
{
printf("Initialize failed\n%s\n", OpenNI::getExtendedError());
return 1;
}
// 3. open a device
Device device;
rc = device.open(ANY_DEVICE);
if (rc != STATUS_OK)
{
printf("Couldn't open device\n%s\n", OpenNI::getExtendedError());
return 2;
}
// 4. create depth stream
VideoStream depth;
if (device.getSensorInfo(SENSOR_DEPTH) != NULL){
rc = depth.create(device, SENSOR_DEPTH);
if (rc != STATUS_OK){
printf("Couldn't create depth stream\n%s\n", OpenNI::getExtendedError());
return 3;
}
}
VideoStream color;
if (device.getSensorInfo(SENSOR_COLOR) != NULL){
rc = color.create(device, SENSOR_COLOR);
if (rc != STATUS_OK){
printf("Couldn't create color stream\n%s\n", OpenNI::getExtendedError());
return 4;
}
}
// 5. create OpenCV Window
cv::namedWindow("Depth Image", CV_WINDOW_AUTOSIZE);
cv::namedWindow("Color Image", CV_WINDOW_AUTOSIZE);
// 6. start
rc = depth.start();
if (rc != STATUS_OK)
{
printf("Couldn't start the depth stream\n%s\n", OpenNI::getExtendedError());
return 5;
}
rc = color.start();
if (rc != STATUS_OK){
printf("Couldn't start the depth stream\n%s\n", OpenNI::getExtendedError());
return 6;
}
VideoFrameRef colorframe;
VideoFrameRef depthframe;
int iMaxDepth = depth.getMaxPixelValue();
int iColorFps = color.getVideoMode().getFps();
cv::Size iColorFrameSize = cv::Size(color.getVideoMode().getResolutionX(), color.getVideoMode().getResolutionY());
cv::Mat colorimageRGB;
cv::Mat colorimageBGR;
cv::Mat depthimage;
cv::Mat depthimageScaled;
#ifdef F_RECORDVIDEO
cv::VideoWriter outputvideo_color;
cv::FileStorage outputfile_depth;
time_t timenow = time(0);
tm ltime;
localtime_s(<ime, &timenow);
int tyear = 1900 + ltime.tm_year;
int tmouth = 1 + ltime.tm_mon;
int tday = ltime.tm_mday;
int thour = ltime.tm_hour;
int tmin = ltime.tm_min;
int tsecond = ltime.tm_sec;
string filename_rgb = "RGB/rgb_" + to_string(tyear) + "_" + to_string(tmouth) + "_" + to_string(tday)
+ "_" + to_string(thour) + "_" + to_string(tmin) + "_" + to_string(tsecond) + ".avi";
string filename_d = "D/d_" + to_string(tyear) + "_" + to_string(tmouth) + "_" + to_string(tday)
+ "_" + to_string(thour) + "_" + to_string(tmin) + "_" + to_string(tsecond) + ".yml";
outputvideo_color.open(filename_rgb, CV_FOURCC('I', '4', '2', '0'), iColorFps, iColorFrameSize, true);
if (!outputvideo_color.isOpened()){
cout << "Could not open the output color video for write: " << endl;
return 7;
}
outputfile_depth.open(filename_d, cv::FileStorage::WRITE);
if (!outputfile_depth.isOpened()){
cout << "Could not open the output depth file for write: " << endl;
return 8;
}
#endif // F_RECORDVIDEO
// 7. main loop, continue read
while (!wasKeyboardHit())
{
// 8. check is color stream is available
if (color.isValid()){
if (color.readFrame(&colorframe) == STATUS_OK){
colorimageRGB = { colorframe.getHeight(), colorframe.getWidth(), CV_8UC3, (void*)colorframe.getData() };
cv::cvtColor(colorimageRGB, colorimageBGR, CV_RGB2BGR);
}
}
// 9. check is depth stream is available
if (depth.isValid()){
if (depth.readFrame(&depthframe) == STATUS_OK){
depthimage = { depthframe.getHeight(), depthframe.getWidth(), CV_16UC1, (void*)depthframe.getData() };
depthimage.convertTo(depthimageScaled, CV_8U, 255.0 / iMaxDepth);
}
}
cv::imshow("Color Image", colorimageBGR);
cv::imshow("Depth Image", depthimageScaled);
#ifdef F_RECORDVIDEO
outputvideo_color << colorimageBGR;
outputfile_depth << "Mat" << depthimage;
#endif // F_RECORDVIDEO
cv::waitKey(10);
}
color.stop();
depth.stop();
color.destroy();
depth.destroy();
device.close();
OpenNI::shutdown();
return 0;
}
void KinectHelper::consume_depth(VideoFrameRef frame){
/// Get depth data from the frame just fetched
const openni::DepthPixel* pDepth = (const openni::DepthPixel*)frame.getData(); // for point cloud
const openni::DepthPixel* iDepth = (const openni::DepthPixel*)frame.getData(); // for depth image
/// Depth Image
(*depth_back_buffer) = QImage(frame.getWidth(), frame.getHeight(), QImage::Format_RGB32);
for (unsigned nY=0; nY<frame.getHeight(); nY++)
{
uchar *imageptr = (*depth_back_buffer).scanLine(nY);
for (unsigned nX=0; nX < frame.getWidth(); nX++)
{
unsigned depth = *iDepth;
unsigned maxdist=10000;
if(depth>maxdist) depth=maxdist;
if(depth)
{
depth = (depth*255)/maxdist;
//depth = (maxdist-depth)*255/maxdist+1;
}
// depth: 0: invalid
// depth: 255: closest
// depth: 1: furtherst (maxdist distance)
// Here we could do depth*color, to show the colored depth
imageptr[0] = depth;
imageptr[1] = depth;
imageptr[2] = depth;
imageptr[3] = 0xff;
iDepth++;
imageptr+=4;
}
}
_mutex.lock();
qSwap(depth_front_buffer, depth_back_buffer);
_mutex.unlock();
/// Point Cloud
float wx,wy,wz;
/// NaN values must be handled well and not displayed by OpenGL
for (int y = 0; y<frame.getHeight(); ++y){
for(int x = 0; x<frame.getWidth(); ++x){
DepthPixel d = *pDepth;
pDepth++;
/// Convert depth coordinates to world coordinates to remove camera intrinsics
CoordinateConverter::convertDepthToWorld(depth, x, y, d, &wx, &wy, &wz);
/// Change the coordinates of the vertices in the model
(*points_back_buffer)(y,x) = Vector3(wx,wy,wz);
}
}
/// Now swap front and back buffers
_mutex.lock();
qSwap(points_front_buffer, points_back_buffer);
_mutex.unlock();
}
void* camera_thread(void*){
VideoFrameRef frame;
VideoFrameRef rgbframe;
int changed_stream;
VideoStream* pStream;
VideoStream* pRgbStream;
sensor_msgs::CameraInfo rgb_info;
sensor_msgs::CameraInfo depth_info;
sensor_msgs::Image image;
image.header.frame_id=frame_id;
image.is_bigendian=0;
int count = 0;
int num_frames_stat=64;
struct timeval previous_time;
gettimeofday(&previous_time, 0);
uint64_t last_stamp = 0;
while(run){
bool new_frame = false;
uint64_t current_stamp = 0;
openni::OpenNI::waitForAnyStream(streams, 2, &changed_stream);
switch (changed_stream)
{
//DEPTH
case 0:
depth.readFrame(&frame);
depth_info.header.stamp=ros::Time::now();
image.header.stamp=ros::Time::now();
if(!frame.isValid()) break;
current_stamp=frame.getTimestamp();
if (current_stamp-last_stamp>5000){
count++;
new_frame = true;
}
last_stamp = current_stamp;
if (! (count % (_frame_skip)) ){
image.header.seq = count;
if (! _registration){
image.header.frame_id=frame_id+"_depth";
} else
image.header.frame_id=frame_id+"_rgb";
depth_info.width=frame.getWidth();
depth_info.height=frame.getHeight();
depth_info.header.seq = count;
depth_info.distortion_model = sensor_msgs::distortion_models::PLUMB_BOB;
depth_info.D.resize(5, 0.0);
depth_info.K[0]=depth_info.width/(2*tan(depth.getHorizontalFieldOfView()/2)); //fx
depth_info.K[4]=depth_info.height/(2*tan(depth.getVerticalFieldOfView()/2));; //fy
depth_info.K[2]=depth_info.width/2; //cx
depth_info.K[5]=depth_info.height/2; //cy
depth_info.K[8]=1;
depth_info.header.frame_id=image.header.frame_id;
image.height=frame.getHeight();
image.width=frame.getWidth();
image.encoding="mono16";
image.step=frame.getWidth()*2;
image.data.resize(image.step*image.height);
memcpy((char*)(&image.data[0]),frame.getData(),image.height*image.width*2);
pub_depth.publish(image);
pub_camera_info_depth.publish(depth_info);
}
break;
//RGB
case 1:
rgb.readFrame(&rgbframe);
image.header.stamp=ros::Time::now();
rgb_info.header.stamp=ros::Time::now();
if(!rgbframe.isValid()) break;
current_stamp=rgbframe.getTimestamp();
if (current_stamp-last_stamp>5000){
count++;
new_frame = true;
}
last_stamp = current_stamp;
if (_gain>=0) {
if (count > 64 && gain_status==0){
rgb.getCameraSettings()->setAutoExposureEnabled(false);
rgb.getCameraSettings()->setAutoWhiteBalanceEnabled(false);
rgb.getCameraSettings()->setExposure(1);
rgb.getCameraSettings()->setGain(100);
gain_status=1;
} else if (count > 128 && gain_status==1){
rgb.getCameraSettings()->setExposure(_exposure);
rgb.getCameraSettings()->setGain(_gain);
gain_status=2;
}
}
if (! (count%(_frame_skip)) ){
rgb_info.header.frame_id=frame_id+"_rgb";
rgb_info.width=rgbframe.getWidth();
rgb_info.height=rgbframe.getHeight();
rgb_info.header.seq = count;
rgb_info.K[0]=rgb_info.width/(2*tan(rgb.getHorizontalFieldOfView()/2)); //fx
rgb_info.K[4]=rgb_info.height/(2*tan(rgb.getVerticalFieldOfView()/2));; //fy
rgb_info.K[2]=rgb_info.width/2; //cx
rgb_info.K[5]=rgb_info.height/2; //cy
rgb_info.K[8]=1;
image.header.seq = count;
image.header.frame_id=frame_id+"_rgb";
image.height=rgbframe.getHeight();
image.width=rgbframe.getWidth();
image.encoding="rgb8";
image.step=rgbframe.getWidth()*3;
image.data.resize(image.step*image.height);
memcpy((char*)(&image.data[0]),rgbframe.getData(),image.height*image.width*3);
pub_rgb.publish(image);
pub_camera_info_rgb.publish(rgb_info);
}
break;
default:
printf("Error in wait\n");
}
if (!(count%num_frames_stat) && new_frame){
struct timeval current_time, interval;
gettimeofday(¤t_time, 0);
timersub(¤t_time, &previous_time, &interval);
previous_time = current_time;
double fps = num_frames_stat/(interval.tv_sec +1e-6*interval.tv_usec);
printf("running at %lf fps\n", fps);
fflush(stdout);
}
}
}
int main()
{
// 2. initialize OpenNI
Status rc = OpenNI::initialize();
if (rc != STATUS_OK)
{
printf("Initialize failed\n%s\n", OpenNI::getExtendedError());
return 1;
}
// 3. open a device
Device device;
rc = device.open(ANY_DEVICE);
if (rc != STATUS_OK)
{
printf("Couldn't open device\n%s\n", OpenNI::getExtendedError());
return 2;
}
// 4. create depth stream
VideoStream depth;
if (device.getSensorInfo(SENSOR_DEPTH) != NULL){
rc = depth.create(device, SENSOR_DEPTH);
if (rc != STATUS_OK){
printf("Couldn't create depth stream\n%s\n", OpenNI::getExtendedError());
return 3;
}
}
VideoStream color;
if (device.getSensorInfo(SENSOR_COLOR) != NULL){
rc = color.create(device, SENSOR_COLOR);
if (rc != STATUS_OK){
printf("Couldn't create color stream\n%s\n", OpenNI::getExtendedError());
return 4;
}
}
// 5. create OpenCV Window
cv::namedWindow("Depth Image", CV_WINDOW_AUTOSIZE);
cv::namedWindow("Color Image", CV_WINDOW_AUTOSIZE);
// 6. start
rc = depth.start();
if (rc != STATUS_OK)
{
printf("Couldn't start the depth stream\n%s\n", OpenNI::getExtendedError());
return 5;
}
rc = color.start();
if (rc != STATUS_OK){
printf("Couldn't start the depth stream\n%s\n", OpenNI::getExtendedError());
return 6;
}
VideoFrameRef colorframe;
VideoFrameRef depthframe;
int iMaxDepth = depth.getMaxPixelValue();
cv::Mat colorimageRGB;
cv::Mat colorimageBGR;
cv::Mat depthimage;
cv::Mat depthimageScaled;
// 7. main loop, continue read
while (!wasKeyboardHit())
{
// 8. check is color stream is available
if (color.isValid()){
if (color.readFrame(&colorframe) == STATUS_OK){
colorimageRGB = { colorframe.getHeight(), colorframe.getWidth(), CV_8UC3, (void*)colorframe.getData() };
cv::cvtColor(colorimageRGB, colorimageBGR, CV_RGB2BGR);
}
}
// 9. check is depth stream is available
if (depth.isValid()){
if (depth.readFrame(&depthframe) == STATUS_OK){
depthimage = { depthframe.getHeight(), depthframe.getWidth(), CV_16UC1, (void*)depthframe.getData() };
depthimage.convertTo(depthimageScaled, CV_8U, 255.0 / iMaxDepth);
}
}
cv::imshow("Color Image", colorimageBGR);
cv::imshow("Depth Image", depthimageScaled);
cv::waitKey(10);
}
color.stop();
depth.stop();
color.destroy();
depth.destroy();
device.close();
OpenNI::shutdown();
return 0;
}
void ONIKinectDevice::onNewDepthFrame(VideoFrameRef frame)
{
//printf("[%08llu] Depth Frame\n", (long long)frame.getTimestamp());
RGBDFramePtr rgbdFrame;
//Make sure frame is in right format
if(frame.getVideoMode().getPixelFormat() == PIXEL_FORMAT_DEPTH_1_MM ||
frame.getVideoMode().getPixelFormat() == PIXEL_FORMAT_DEPTH_100_UM )
{
int width = frame.getVideoMode().getResolutionX();
int height = frame.getVideoMode().getResolutionY();
//Initialize frame if not initialized
if(rgbdFrame == NULL)
{
rgbdFrame = mFrameFactory.getRGBDFrame(width,height);
}
if(width == rgbdFrame->getXRes() && height == rgbdFrame->getYRes())
{
//Data array valid. Fill it
//TODO: Use more efficient method of transfering memory. (like memcopy, or plain linear indexing?)
DPixelArray data = rgbdFrame->getDepthArray();
//TODO: Enable cropping
const openni::DepthPixel* pDepthRowONI = (const openni::DepthPixel*)frame.getData();
DPixel* pDepthRow = data.get();
for(int y = 0; y < height; y++)
{
DPixel* pDepth = pDepthRow;
const openni::DepthPixel* pDepthONI = pDepthRowONI;
for(int x = 0; x < width; ++x, ++pDepth, ++pDepthONI)
{
pDepth->depth = *pDepthONI;
}
pDepthRow += width;
pDepthRowONI += width;
}
rgbdFrame->setDepthTimestamp(frame.getTimestamp());
rgbdFrame->setHasDepth(true);
//Check if send
if(!mSyncDepthAndColor)
{
//Send it
onNewRGBDFrame(rgbdFrame);
rgbdFrame = NULL;
}else{
//Sync it
frameGuard.lock();
if(mRGBDFrameSynced == NULL)
{
//FIRST POST!!!
mRGBDFrameSynced = rgbdFrame;
}else{
//SECOND!!
//Send it
mRGBDFrameSynced->setDepthArray(rgbdFrame->getDepthArray());
mRGBDFrameSynced->setHasDepth(true);
mRGBDFrameSynced->setDepthTimestamp(frame.getTimestamp());
onNewRGBDFrame(mRGBDFrameSynced);
mRGBDFrameSynced = NULL;
}
//Unlock scoped
frameGuard.unlock();
}
}else{
//Size error
onMessage("Error: depth and color frames don't match in size\n");
}
}else{
//Format error
onMessage("Error: depth format incorrect\n");
}
}
int main()
{
FILE *fptrI = fopen("C:\\Users\\Alan\\Documents\\ShapeFeatures.csv","w");
fprintf(fptrI, "Classtype, Area, Perimeter, Circularity, Extent\n");
fclose(fptrI);
Mat input = imread("C:\\Users\\Alan\\Pictures\\Science Fair 2014\\SVM\\Shape Features\\Fingers.bmp", 1);
Mat input2 = imread("C:\\Users\\Alan\\Pictures\\Science Fair 2014\\SVM\\Shape Features\\NotFingers.bmp", 1);
Mat inputF = imread("C:\\Users\\Alan\\Pictures\\Science Fair 2014\\SVM\\Shape Features\\ImageFeaturesBinaryF.bmp", 1);
Mat gray(input.rows, input.cols, CV_8UC3);
Mat gray2(input.rows, input.cols, CV_8UC3);
Mat grayF(input.rows, input.cols, CV_8UC3);
cvtColor(input, gray, CV_BGR2GRAY);
cvtColor(input2, gray2, CV_BGR2GRAY);
cvtColor(inputF, grayF, CV_BGR2GRAY);
shapeFeatures(gray, input, 1);
shapeFeatures(gray2, input2, 2);
namedWindow("Image");
imshow("Image", input);
namedWindow("Image2");
imshow("Image2", input2);
//------------------------------------------------------
//--------[SVM]--------
// Read input data from file created above
double parameters[5];
vector<double> svmI, svmA, svmP, svmC, svmE;
int size = 1;
double index = 0; double area = 0; double perimeter = 0; double circularity = 0;
char buffer[1024];
char *record, *line;
FILE* fptrR = fopen("C:\\Users\\Alan\\Documents\\ShapeFeatures.csv", "r");
fscanf(fptrR, "%*[^\n]\n", NULL);
svmI.resize(size); svmA.resize(size); svmP.resize(size); svmC.resize(size);
while((line=fgets(buffer, sizeof(buffer), fptrR))!=NULL)
{
size++;
svmI.resize(size);
svmA.resize(size);
svmP.resize(size);
svmC.resize(size);
svmE.resize(size);
record = strtok(line, ";");
for(int i = 0; i < 5; i++);
{
double value = atoi(record);
record = strtok(line,";");
}
char *lineCopy = record;
char *pch;
pch = strtok(lineCopy, ",");
parameters[0] = atoi(pch);
int j = 1;
while( j < 5 )
{
pch = strtok (NULL, ",");
parameters[j] = atof(pch);
j++;
}
svmI[size-1] = parameters[0];
svmA[size-1] = parameters[1];
svmP[size-1] = parameters[2];
svmC[size-1] = parameters[3];
svmE[size-1] = parameters[4];
}
fclose(fptrR);
//---------------------
// Data for visual representation
int width = 512, height = 512;
Mat image = Mat::zeros(height, width, CV_8UC3);
// Set up training data
//float labels[8] = {1.0, -1.0, -1.0, -1.0};
float labels[1000];
for(int i = 0; i < svmI.size()-1; i++)
{
labels[i] = svmI[i+1];
}
Mat labelsMat(1000, 1, CV_32FC1, labels);
float trainingData[1000][4];
for(int i = 0; i < svmE.size()-1; i++)
{
trainingData[i][0] = svmE[i+1];
trainingData[i][1] = svmC[i+1];
trainingData[i][2] = svmA[i+1];
trainingData[i][3] = svmP[i+1];
}
Mat trainingDataMat(1000, 4, CV_32FC1, trainingData);
// Set up SVM's parameters
CvSVMParams params;
params = SVMFinger.get_params();
//params.svm_type = CvSVM::C_SVC;
//params.kernel_type = CvSVM::LINEAR;
//params.term_crit = cvTermCriteria(CV_TERMCRIT_ITER, 100, 1e-6);
// Train the SVM
SVMFinger.train_auto(trainingDataMat, labelsMat, Mat(), Mat(), params);
// Mat sampleMat = (Mat_<float>(1,2) << 138.5, 57);
// float response = SVMFinger.predict(sampleMat);
waitKey();
destroyWindow("Image");
destroyWindow("Image2");
//------------------------------------------
OpenNI::initialize();
Device devAnyDevice;
devAnyDevice.open(ANY_DEVICE);
//----------------[Define Video Settings]-------------------
//Set Properties of Depth Stream
VideoMode mModeDepth;
mModeDepth.setResolution( 640, 480 );
mModeDepth.setFps( 30 );
mModeDepth.setPixelFormat( PIXEL_FORMAT_DEPTH_100_UM );
//Set Properties of Color Stream
VideoMode mModeColor;
mModeColor.setResolution( 640, 480 );
mModeColor.setFps( 30 );
mModeColor.setPixelFormat( PIXEL_FORMAT_RGB888 );
//----------------------------------------------------------
//----------------------[Initial Streams]---------------------
VideoStream streamInitDepth;
streamInitDepth.create( devAnyDevice, SENSOR_DEPTH );
VideoStream streamInitColor;
streamInitColor.create( devAnyDevice, SENSOR_COLOR );
streamInitDepth.setVideoMode( mModeDepth );
streamInitColor.setVideoMode( mModeColor );
namedWindow( "Depth Image (Init)", CV_WINDOW_AUTOSIZE );
namedWindow( "Color Image (Init)", CV_WINDOW_AUTOSIZE );
//namedWindow( "Thresholded Image (Init)", CV_WINDOW_AUTOSIZE );
VideoFrameRef frameDepthInit;
VideoFrameRef frameColorInit;
streamInitDepth.start();
streamInitColor.start();
cv::Mat BackgroundFrame;
int avgDist = 0;
int iMaxDepthInit = streamInitDepth.getMaxPixelValue();
OutX.clear();
OutY.clear();
vector<int> OldOutX, OldOutY;
OldOutX.clear();
OldOutY.clear();
//------------------------------------------------------------
//--------------------[Initiation Process]--------------------
while( true )
{
streamInitDepth.readFrame( &frameDepthInit );
streamInitColor.readFrame( &frameColorInit );
const cv::Mat mImageDepth( frameDepthInit.getHeight(), frameDepthInit.getWidth(), CV_16UC1, (void*)frameDepthInit.getData());
cv::Mat mScaledDepth;
mImageDepth.convertTo( mScaledDepth, CV_8U, 255.0 / iMaxDepthInit );
cv::imshow( "Depth Image (Init)", mScaledDepth );
const cv::Mat mImageRGB(frameColorInit.getHeight(), frameColorInit.getWidth(), CV_8UC3, (void*)frameColorInit.getData());
cv::Mat cImageBGR;
cv::cvtColor( mImageRGB, cImageBGR, CV_RGB2BGR );
//--------------------[Get Average Distance]---------------------
int depthVal = 0;
int frameHeight = frameDepthInit.getHeight();
int frameWidth = frameDepthInit.getWidth();
//------------
//backgroundDepth.resize(frameHeight * frameWidth);
//---------------------------------------------------------------
int initCount = 0;
for(int i = 0; i < frameHeight; i++)
{
for(int j = 0; j < frameWidth; j++)
{
depthVal = mImageDepth.at<unsigned short>(i, j) + depthVal;
initCount++;
}
}
avgDist = depthVal / ((frameHeight) * (frameWidth));
cout << "Average Distance: " << avgDist << endl;
cv::imshow( "Color Image (Init)", cImageBGR );
if( cv::waitKey(1) == 'q')
{
mImageDepth.copyTo(BackgroundFrame);
break;
}
}
streamInitDepth.destroy();
streamInitColor.destroy();
destroyWindow( "Depth Image (Init)" );
destroyWindow( "Color Image (Init)" );
VideoStream streamDepth;
streamDepth.create( devAnyDevice, SENSOR_DEPTH );
VideoStream streamColor;
streamColor.create( devAnyDevice, SENSOR_COLOR );
streamDepth.setVideoMode( mModeDepth );
streamColor.setVideoMode( mModeColor );
streamDepth.start();
streamColor.start();
namedWindow( "Depth Image", CV_WINDOW_AUTOSIZE );
namedWindow( "Color Image", CV_WINDOW_AUTOSIZE );
namedWindow( "Thresholded Image", CV_WINDOW_AUTOSIZE );
int iMaxDepth = streamDepth.getMaxPixelValue();
VideoFrameRef frameColor;
VideoFrameRef frameDepth;
OutX.clear();
OutY.clear();
//------------------------------------------------------------
//------------------------------------------------------------
//-----------------------[Main Process]-----------------------
while( true )
{
streamDepth.readFrame( &frameDepth );
streamColor.readFrame( &frameColor );
const cv::Mat mImageDepth( frameDepth.getHeight(), frameDepth.getWidth(), CV_16UC1, (void*)frameDepth.getData());
cv::Mat mScaledDepth;
mImageDepth.convertTo( mScaledDepth, CV_8U, 255.0 / iMaxDepth );
////////////////////////////////////////////////////////////////////////////////////////////
//---------------------[Downsampling]-------------------------------------------------------
double min;
double max;
cv::minMaxIdx(mImageDepth, &min, &max);
cv::Mat adjMap;
// expand your range to 0..255. Similar to histEq();
float scale = 255 / (max-min);
mImageDepth.convertTo(adjMap,CV_8UC1, scale, -min*scale);
// this is great. It converts your grayscale image into a tone-mapped one,
// much more pleasing for the eye
// function is found in contrib module, so include contrib.hpp
// and link accordingly
cv::Mat falseColorsMap;
applyColorMap(adjMap, falseColorsMap, cv::COLORMAP_AUTUMN);
cv::imshow("Out", falseColorsMap);
//------------------------------------------------------------------------------------------
////////////////////////////////////////////////////////////////////////////////////////////
cv::imshow( "Depth Image", mScaledDepth );
cv::imshow( "Depth Image2", adjMap );
const cv::Mat mImageRGB(frameColor.getHeight(), frameColor.getWidth(), CV_8UC3, (void*)frameColor.getData());
cv::Mat cImageBGR;
cv::cvtColor( mImageRGB, cImageBGR, CV_RGB2BGR );
//-------------[Threshold]-----------------
cv::Mat mImageThres( frameDepth.getHeight(), frameDepth.getWidth(), CV_8UC1 );
int backgroundPxlCount = 0;
for(int i = 0; i < 480; i++)
{
for(int j = 0; j < 640; j++)
{
int depthVal = mImageDepth.at<unsigned short>(i, j);
avgDist = BackgroundFrame.at<unsigned short>(i, j)-2;
if((depthVal > (avgDist-14)) && (depthVal <= (avgDist-7)))
{
//mImageThres.data[mImageThres.step[0]*i + mImageThres.step[1]*j] = 255;
mImageThres.at<uchar>(i, j) = 255;
}
else
{
//mImageThres.data[mImageThres.step[0]*i + mImageThres.step[1]*j] = 0;
mImageThres.at<uchar>(i, j) = 0;
}
backgroundPxlCount++;
}
}
GaussianBlur( mImageThres, mImageThres, Size(3,3), 0, 0 );
fingerDetection( mImageThres, cImageBGR, OldOutX, OldOutY);
cv::imshow("Thresholded Image", mImageThres);
//----------------------------------------
if( cv::waitKey(1) == 'q')
{
break;
}
//------------------------------------------------
cv::imshow( "Color Image", cImageBGR );
//----------------------------------
OldOutX.clear();
OldOutY.clear();
OldOutX = OutX;
OldOutY = OutY;
OutX.clear();
OutY.clear();
}
return 0;
}
void ONIKinectDevice::onNewColorFrame(VideoFrameRef frame)
{
//printf("[%08llu] Color Frame\n", (long long)frame.getTimestamp());
RGBDFramePtr rgbdFrame;
//Make sure frame is in right format
if(frame.getVideoMode().getPixelFormat() == PIXEL_FORMAT_RGB888)
{
int width = frame.getVideoMode().getResolutionX();
int height = frame.getVideoMode().getResolutionY();
//Initialize frame if not initialized
if(rgbdFrame == NULL)
{
rgbdFrame = mFrameFactory.getRGBDFrame(width,height);
}
if(width == rgbdFrame->getXRes() && height == rgbdFrame->getYRes())
{
//Data array valid. Fill it
//TODO: Use more efficient method of transfering memory. (like memcopy, or plain linear indexing?)
ColorPixelArray data = rgbdFrame->getColorArray();
//TODO: Enable cropping
//printf("Size of ColorPixel: %d Size of RGB88Pixel: %d\n", sizeof(ColorPixel), sizeof(RGB888Pixel));
const openni::RGB888Pixel* pImage = (const openni::RGB888Pixel*)frame.getData();
memcpy(data.get(), pImage, sizeof(RGB888Pixel)*width*height);
/*for(int y = 0; y < height; y++)
{
for(int x = 0; x < width; x++)
{
int ind = rgbdFrame->getLinearIndex(x,y);
data[ind] = ((ColorPixel*)pImage)[ind];
}
}*/
rgbdFrame->setColorTimestamp(frame.getTimestamp());
rgbdFrame->setHasColor(true);
//Check if send
if(!mSyncDepthAndColor)
{
//Send it
onNewRGBDFrame(rgbdFrame);
rgbdFrame = NULL;
}else{
//Sync it
frameGuard.lock();
if(mRGBDFrameSynced == NULL)
{
//FIRST POST!!!
mRGBDFrameSynced = rgbdFrame;
}else{
//SECOND!!
//Send it
mRGBDFrameSynced->setColorArray(rgbdFrame->getColorArray());
mRGBDFrameSynced->setHasColor(true);
mRGBDFrameSynced->setColorTimestamp(frame.getTimestamp());
onNewRGBDFrame(mRGBDFrameSynced);
mRGBDFrameSynced = NULL;
}
//Unlock scoped
frameGuard.unlock();
}
}else{
//Size error
onMessage("Error: depth and color frames don't match in size\n");
}
}else{
//Format error
onMessage("Error: depth format incorrect\n");
}
}