There is no official SDK for doing so, can someone help? How to convert realsense RGB frame to cv::Mat in ubuntu (or other linux env)?
4 Answers
Seems to be that you can create 3 cv::Mat to represent each of the component of the image RGB + Depth + IR. Therefore, It should be something like
cv::Mat frameColor = cv::Mat::zeros(resolutionColor.height, resolutionColor.width, CV_8UC3); cv::Mat frameDepth = cv::Mat::zeros(resolutionDepth.height, resolutionDepth.width, CV_32FC1); cv::Mat frameIR = cv::Mat::zeros(resolutionIR.height, resolutionIR.width, CV_8UC1);
Check this forum -> https://software.intel.com/en-us/forums/realsense/topic/538066 and Convert a PXCImage into an OpenCV Mat

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If you are using the new librealsense SDK for ubuntu: then it is as easy as to create a new instance of a cv::Mat to the heigth and width of the camera and with the dimensions of the image you acquiring.
cv::Mat vis = cv::Mat(1080,1920,CV_8UC3);
After that the only step left is to assign the data given by the stream to the vis.data property of the matrix
vis.data = (uchar*)reinterpret_cast<const uint8_t *>(dev->get_frame_data(rs::stream::color));`
the (uchar*) cast is to cast the uint8_t format to the native format of the cv::Mat.
Because the Realsense stream provides the color as BGR and opencv uses RGB to represent the image, the last step is to transform the matrix to the correct format:
cv::cvtColor(vis, vis, CV_BGR2RGB);

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once you have the sample image
PXCImage::ImageData c_image;
cv::Mat p_image;
PXCCapture::Sample *sample = sm->QuerySample();
if (sample->color != NULL)
{
sample->color->AcquireAccess(PXCImage::ACCESS_READ_WRITE, PXCImage::PIXEL_FORMAT_RGB32, &c_image);
PXCImage::ImageInfo inputInfo = sample->color->QueryInfo();
cv::Mat img = cv::Mat(inputInfo.height, inputInfo.width, CV_8UC4, c_image.planes[0], c_image.pitches[0]);
sample->color->ReleaseAccess(&c_image);
}

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How do I put this in a loop? – Pototo Feb 20 '17 at 20:28
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how do I continuously convert from realsense image to openCV image so that I can see an actual video instead of a still image – Pototo Feb 22 '17 at 01:04
/***
Returns the next frame if next frame is recorded
Returns the previous frame if next frame is not recorded
***/
void Converter::ConvertPXCImageToOpenCVMat(Intel::RealSense::Image *inImg, Intel::RealSense::ImageData data, cv::Mat *outImg) {
auto cvDataType = 0;
auto cvDataWidth = 0;
auto imgInfo = inImg->QueryInfo();
switch (data.format) {
/* STREAM_TYPE_COLOR */
case Intel::RealSense::Image::PIXEL_FORMAT_YUY2: /* YUY2 image */
case Intel::RealSense::Image::PIXEL_FORMAT_NV12: /* NV12 image */
throw; // Not implemented
case Intel::RealSense::Image::PIXEL_FORMAT_RGB32: /* BGRA layout on a little-endian machine */
cvDataType = CV_8UC4;
cvDataWidth = 4;
break;
case Intel::RealSense::Image::PIXEL_FORMAT_RGB24: /* BGR layout on a little-endian machine */
cvDataType = CV_8UC3;
cvDataWidth = 3;
break;
case Intel::RealSense::Image::PIXEL_FORMAT_Y8: /* 8-Bit Gray Image, or IR 8-bit */
cvDataType = CV_8U;
cvDataWidth = 1;
break;
/* STREAM_TYPE_DEPTH */
case Intel::RealSense::Image::PIXEL_FORMAT_DEPTH: /* 16-bit unsigned integer with precision mm. */
case Intel::RealSense::Image::PIXEL_FORMAT_DEPTH_RAW: /* 16-bit unsigned integer with device specific precision (call device->QueryDepthUnit()) */
cvDataType = CV_16U;
cvDataWidth = 2;
break;
case Intel::RealSense::Image::PIXEL_FORMAT_DEPTH_F32: /* 32-bit float-point with precision mm. */
cvDataType = CV_32F;
cvDataWidth = 4;
break;
/* STREAM_TYPE_IR */
case Intel::RealSense::Image::PIXEL_FORMAT_Y16: /* 16-Bit Gray Image */
cvDataType = CV_16U;
cvDataWidth = 2;
break;
case Intel::RealSense::Image::PIXEL_FORMAT_Y8_IR_RELATIVE: /* Relative IR Image */
cvDataType = CV_8U;
cvDataWidth = 1;
break;
default:
break;
}
// suppose that no other planes
if (data.planes[1] != nullptr) throw; // not implemented
// suppose that no sub pixel padding needed
if (data.pitches[0] % cvDataWidth != 0) throw; // not implemented
outImg->create(imgInfo.height, data.pitches[0] / cvDataWidth, cvDataType);
//memcpy(outImg->data, data.planes[0], imgInfo.height*imgInfo.width*cvDataWidth * sizeof(pxcBYTE));
memcpy(outImg->data, data.planes[0], imgInfo.height*imgInfo.width*cvDataWidth * sizeof(uint8_t));
}

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