Merge pull request #2538 from ElenaGvozdeva:ipp_async_convert

This commit is contained in:
Andrey Pavlenko
2014-04-08 11:05:29 +04:00
committed by OpenCV Buildbot
15 changed files with 784 additions and 2 deletions

View File

@@ -0,0 +1,164 @@
.. _howToUseIPPAconversion:
Intel® IPP Asynchronous C/C++ library in OpenCV
***********************************************
Goal
====
.. _hppiSobel: http://software.intel.com/en-us/node/474701
.. _hppiMatrix: http://software.intel.com/en-us/node/501660
The tutorial demonstrates the `Intel® IPP Asynchronous C/C++ <http://software.intel.com/en-us/intel-ipp-preview>`_ library usage with OpenCV.
The code example below illustrates implementation of the Sobel operation, accelerated with Intel® IPP Asynchronous C/C++ functions.
In this code example, :ippa_convert:`hpp::getMat <>` and :ippa_convert:`hpp::getHpp <>` functions are used for data conversion between hppiMatrix_ and ``Mat`` matrices.
Code
====
You may also find the source code in the :file:`samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp`
file of the OpenCV source library or :download:`download it from here
<../../../../samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp>`.
.. literalinclude:: ../../../../samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp
:language: cpp
:linenos:
:tab-width: 4
Explanation
===========
#. Create parameters for OpenCV:
.. code-block:: cpp
VideoCapture cap;
Mat image, gray, result;
and IPP Async:
.. code-block:: cpp
hppiMatrix* src,* dst;
hppAccel accel = 0;
hppAccelType accelType;
hppStatus sts;
hppiVirtualMatrix * virtMatrix;
#. Load input image or video. How to open and read video stream you can see in the :ref:`videoInputPSNRMSSIM` tutorial.
.. code-block:: cpp
if( useCamera )
{
printf("used camera\n");
cap.open(0);
}
else
{
printf("used image %s\n", file.c_str());
cap.open(file.c_str());
}
if( !cap.isOpened() )
{
printf("can not open camera or video file\n");
return -1;
}
#. Create accelerator instance using `hppCreateInstance <http://software.intel.com/en-us/node/501686>`_:
.. code-block:: cpp
accelType = sAccel == "cpu" ? HPP_ACCEL_TYPE_CPU:
sAccel == "gpu" ? HPP_ACCEL_TYPE_GPU:
HPP_ACCEL_TYPE_ANY;
//Create accelerator instance
sts = hppCreateInstance(accelType, 0, &accel);
CHECK_STATUS(sts, "hppCreateInstance");
#. Create an array of virtual matrices using `hppiCreateVirtualMatrices <http://software.intel.com/en-us/node/501700>`_ function.
.. code-block:: cpp
virtMatrix = hppiCreateVirtualMatrices(accel, 1);
#. Prepare a matrix for input and output data:
.. code-block:: cpp
cap >> image;
if(image.empty())
break;
cvtColor( image, gray, COLOR_BGR2GRAY );
result.create( image.rows, image.cols, CV_8U);
#. Convert ``Mat`` to hppiMatrix_ using :ippa_convert:`getHpp <>` and call hppiSobel_ function.
.. code-block:: cpp
//convert Mat to hppiMatrix
src = getHpp(gray, accel);
dst = getHpp(result, accel);
sts = hppiSobel(accel,src, HPP_MASK_SIZE_3X3,HPP_NORM_L1,virtMatrix[0]);
CHECK_STATUS(sts,"hppiSobel");
sts = hppiConvert(accel, virtMatrix[0], 0, HPP_RND_MODE_NEAR, dst, HPP_DATA_TYPE_8U);
CHECK_STATUS(sts,"hppiConvert");
// Wait for tasks to complete
sts = hppWait(accel, HPP_TIME_OUT_INFINITE);
CHECK_STATUS(sts, "hppWait");
We use `hppiConvert <http://software.intel.com/en-us/node/501746>`_ because hppiSobel_ returns destination
matrix with ``HPP_DATA_TYPE_16S`` data type for source matrix with ``HPP_DATA_TYPE_8U`` type.
You should check ``hppStatus`` after each call IPP Async function.
#. Create windows and show the images, the usual way.
.. code-block:: cpp
imshow("image", image);
imshow("rez", result);
waitKey(15);
#. Delete hpp matrices.
.. code-block:: cpp
sts = hppiFreeMatrix(src);
CHECK_DEL_STATUS(sts,"hppiFreeMatrix");
sts = hppiFreeMatrix(dst);
CHECK_DEL_STATUS(sts,"hppiFreeMatrix");
#. Delete virtual matrices and accelerator instance.
.. code-block:: cpp
if (virtMatrix)
{
sts = hppiDeleteVirtualMatrices(accel, virtMatrix);
CHECK_DEL_STATUS(sts,"hppiDeleteVirtualMatrices");
}
if (accel)
{
sts = hppDeleteInstance(accel);
CHECK_DEL_STATUS(sts, "hppDeleteInstance");
}
Result
=======
After compiling the code above we can execute it giving an image or video path and accelerator type as an argument.
For this tutorial we use baboon.png image as input. The result is below.
.. image:: images/How_To_Use_IPPA_Result.jpg
:alt: Final Result
:align: center

Binary file not shown.

After

Width:  |  Height:  |  Size: 61 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 6.8 KiB

View File

@@ -200,7 +200,28 @@ Here you will learn the about the basic building blocks of the library. A must r
:height: 90pt
:width: 90pt
=============== ======================================================
+
.. tabularcolumns:: m{100pt} m{300pt}
.. cssclass:: toctableopencv
=============== ======================================================
|IPPIma| **Title:** :ref:`howToUseIPPAconversion`
*Compatibility:* > OpenCV 2.0
*Author:* |Author_ElenaG|
You will see how to use the IPP Async with OpenCV.
=============== ======================================================
.. |IPPIma| image:: images/How_To_Use_IPPA.jpg
:height: 90pt
:width: 90pt
.. |Author_ElenaG| unicode:: Elena U+0020 Gvozdeva
=============== ======================================================
.. raw:: latex
@@ -219,3 +240,4 @@ Here you will learn the about the basic building blocks of the library. A must r
../discrete_fourier_transform/discrete_fourier_transform
../file_input_output_with_xml_yml/file_input_output_with_xml_yml
../interoperability_with_OpenCV_1/interoperability_with_OpenCV_1
../how_to_use_ippa_conversion/how_to_use_ippa_conversion