Hello,
I know that as a policy you removed all the "In Place" function in Intel IPP.
I'm talking about the Image Processing domain functions.
I was wondering though, what would happen if I send the pointer as destination and source?
Should the current function work? Which might fail?
I'm asking specifically on the Column / Row Filter.
Should it work?
Should other work?
Could you publish a list of functions which should perform correctly in this case?
Thank You.
Hi, I have some problems width canny edge detector using IPP
I make three steps:
I have 3-channel image(byte array), that ordered like this RGBRGB...
The first step is applying grayScale filter.
The second is calculation gradients dx and dy using IPP vertical and horizontal Sobel filters with border,
The last step is using ippiCanny
Code:
unsigned char * RGBToGrayScaleIpp(unsigned char * src, int width, int height, int channels)
{
IppiSize ROI = {width, height};
Ipp8u *GrayScaleImg = new Ipp8u[width * height];
ippiRGBToGray_8u_C3C1R(src, width * channels * sizeof(Ipp8u), GrayScaleImg, width * sizeof(Ipp8u), ROI);
return GrayScaleImg;
}
extern "C" __declspec(dllexport) unsigned char* __stdcall Canny(unsigned char * img, int channels, int width, int height)
{
Ipp8u *GrayScaleImg = RGBToGrayScaleIpp(img, width, height, channels);
IppiSize roiSize = {width - 1, height - 1};
int horizBufferSize, vertBufferSize;
IppiMaskSize maskSize = ippMskSize3x3;
ippiFilterSobelVertGetBufferSize_8u16s_C1R(roiSize, maskSize, &vertBufferSize);
ippiFilterSobelHorizGetBufferSize_8u16s_C1R(roiSize, maskSize, &horizBufferSize);
Ipp8u *horizBuffer = ippsMalloc_8u(horizBufferSize);
Ipp8u *vertBuffer = ippsMalloc_8u(vertBufferSize);
Ipp16s *dx = new Ipp16s[width * height];
Ipp16s *dy = new Ipp16s[width * height];
ippiFilterSobelVertBorder_8u16s_C1R(GrayScaleImg, width * sizeof(Ipp8u), dx, (width - 1) * sizeof(Ipp16s), roiSize, maskSize, ippBorderRepl, 0, vertBuffer);
ippiFilterSobelHorizBorder_8u16s_C1R(GrayScaleImg, width * sizeof(Ipp8u), dy, (width - 1) * sizeof(Ipp16s), roiSize, maskSize, ippBorderRepl, 0, horizBuffer);
Ipp8u *buffer;
if (vertBufferSize < horizBufferSize)
{
ippiCannyGetSize(roiSize, &horizBufferSize);
buffer = ippsMalloc_8u(horizBufferSize);
}
else
{
ippiCannyGetSize(roiSize, &vertBufferSize);
buffer = ippsMalloc_8u(vertBufferSize);
}
Ipp32f low=100.0f, high=100.0f;
Ipp8u* dst = new Ipp8u[width * height];
ippiCanny_16s8u_C1R(dx, (width - 1) * sizeof(Ipp16s), dy, (width - 1) * sizeof(Ipp16s), dst, width * sizeof(Ipp8u), roiSize, low, high, buffer);
ippsFree(buffer);
return dst;
}
I get incorrect result. In attach files there are 3 images source, filtered using .NET Aforge and filtered using IPP. Can you see any mistakes in my code? Please, help.
Hi, I have some problems width canny edge detector using IPP
I make three steps:
I have 3-channel image(byte array), that ordered like this RGBRGB...
The first step is applying grayScale filter.
The second is calculation gradients dx and dy using IPP vertical and horizontal Sobel filters with border,
The last step is using ippiCanny
Code:
unsigned char * RGBToGrayScaleIpp(unsigned char * src, int width, int height, int channels)
{
IppiSize ROI = {width, height};
Ipp8u *GrayScaleImg = new Ipp8u[width * height];
ippiRGBToGray_8u_C3C1R(src, width * channels * sizeof(Ipp8u), GrayScaleImg, width * sizeof(Ipp8u), ROI);
return GrayScaleImg;
}
extern "C" __declspec(dllexport) unsigned char* __stdcall Canny(unsigned char * img, int channels, int width, int height)
{
Ipp8u *GrayScaleImg = RGBToGrayScaleIpp(img, width, height, channels);
IppiSize roiSize = {width - 1, height - 1};
int horizBufferSize, vertBufferSize;
IppiMaskSize maskSize = ippMskSize3x3;
ippiFilterSobelVertGetBufferSize_8u16s_C1R(roiSize, maskSize, &vertBufferSize);
ippiFilterSobelHorizGetBufferSize_8u16s_C1R(roiSize, maskSize, &horizBufferSize);
Ipp8u *horizBuffer = ippsMalloc_8u(horizBufferSize);
Ipp8u *vertBuffer = ippsMalloc_8u(vertBufferSize);
Ipp16s *dx = new Ipp16s[width * height];
Ipp16s *dy = new Ipp16s[width * height];
ippiFilterSobelVertBorder_8u16s_C1R(GrayScaleImg, width * sizeof(Ipp8u), dx, (width - 1) * sizeof(Ipp16s), roiSize, maskSize, ippBorderRepl, 0, vertBuffer);
ippiFilterSobelHorizBorder_8u16s_C1R(GrayScaleImg, width * sizeof(Ipp8u), dy, (width - 1) * sizeof(Ipp16s), roiSize, maskSize, ippBorderRepl, 0, horizBuffer);
Ipp8u *buffer;
if (vertBufferSize < horizBufferSize)
{
ippiCannyGetSize(roiSize, &horizBufferSize);
buffer = ippsMalloc_8u(horizBufferSize);
}
else
{
ippiCannyGetSize(roiSize, &vertBufferSize);
buffer = ippsMalloc_8u(vertBufferSize);
}
Ipp32f low=100.0f, high=100.0f;
Ipp8u* dst = new Ipp8u[width * height];
ippiCanny_16s8u_C1R(dx, (width - 1) * sizeof(Ipp16s), dy, (width - 1) * sizeof(Ipp16s), dst, width * sizeof(Ipp8u), roiSize, low, high, buffer);
ippsFree(buffer);
return dst;
}
I get incorrect result. In attach files there are 3 images source, filtered using .NET Aforge and filtered using IPP. Can you see any mistakes in my code? Please, help.
| Attachment | Size |
|---|---|
Download aforge.jpg | 28.31 KB |
| Downloadipp.jpg | 12.95 KB |
| Downloadsource.jpg | 4.74 KB |
h files and *.lib file from another developer.
I have built a C++/CLI project and I want to create a C# wrapper for two functions
I'm getting this error
error LNK1104: cannot open file 'libmmt.lib'
I understand the he is using Intel Compiler and I know he uses IPP functions.<Br>
from here:<br>
https://software.intel.com/en-us/articles/libraries-provided-by-intelr-c...
I understand that he also uses Multi-threaded
static library (/MT) version of math library.
I have Intel parallel studio installed. can you please help me understand how to configure my C++/CLI project?
I have added
$(ICPP_COMPILER15)compiler\lib\intel64 into Additional Library Directories inside Linker -> General and now I have many more errors:
error LNK2019: unresolved external symbol ippsSum_32f referenced in function ia_cp_robustMest
error LNK2019: unresolved external symbol ippsSubC_32f referenced in function ia_cp_estimaSigmaRob
and so on...
Hello,
I am using OpenCV remap function.
But i need more speed up for my application.
Does OpenCV with IPP supports remap acceleration?
Here i can't see remap function: http://opencv.org/opencv-3-0-alpha.html
If IPP has fast remap function like opencv remap(src_mat, dst_mat, map_x, map_y), where i can see examples and try it?
Best regards Viktor.
I am building a project that worked fine with IPP 8.0, but compilation fails with 9.0 Beta
1>d:\apama\src\libs\utils\apfilter.cpp(622): error C3861: 'ippiFilterRow_32f_C3R': identifier not found
1>d:\apama\src\libs\utils\apfilter.cpp(655): error C3861: 'ippiFilterColumn_32f_C3R': identifier not found
1>d:\apama\src\libs\utils\apfilter.cpp(731): error C3861: 'ippiFilter_32f_C1R': identifier not found
1>d:\apama\src\libs\utils\apfilter.cpp(1098): error C3861: 'ippiWarpAffine_32f_C1R': identifier not found
1>d:\apama\src\libs\utils\apfilter.cpp(1338): error C3861: 'ippiWarpAffine_32f_C1R': identifier not found
1>d:\apama\src\libs\utils\apfilter.cpp(1375): error C3861: 'ippiRotateCenter_8u_C1R': identifier not found
1>d:\apama\src\libs\utils\apfilter.cpp(1426): error C3861: 'ippiRotateCenter_32f_C1R': identifier not found
When I look in ippi.h, these functions are missing - but they are there in 8.0.
For example, in 8.0 there were 15 overloads of 'ippiFilterRow_xxx_xxx, there is now only one,
IPPAPI( IppStatus, ippiFilterRow_64f_C1R, ( const Ipp64f* pSrc, int srcStep,
Ipp64f* pDst, int dstStep, IppiSize dstRoiSize, const Ipp64f* pKernel,
int kernelSize, int xAnchor ))Were they deprecated?
Hi,
I tried to use ippiFilterBilateralBorder_32f_C1R and got incorrect results.
Then I have run an example from the manual for ippiFilterBilateralBorder_8u_C1R (copy-paste) but have gotten different, incorrect results too (below).
1 2 3 123 123 125 54 54
3 4 5 128 130 130 61 62
4 5 6 131 132 133 64 65
6 6 6 132 133 133 66 66
7 7 6 133 133 132 66 66
7 6 5 133 132 131 66 65
6 5 4 132 131 130 65 64
I am using IPP 8.1.0 under 64-bits Win 7 Pro SP-1 and MS Visual Studio Pro 2013.
Hi,
I've noticed that the speec-codec samples are no longer available with the latest version of the IPP libraries.
Are these samples still available? Or are they no longer supported with the 8.0+ versions?
Intel® Parallel Studio XE 2015 Update 3 Composer Edition for C++ Windows* includes the latest Intel C/C++ compilers and performance libraries for IA-32 and Intel® 64 architecture systems. This new product release now includes: Intel® C++ Compiler XE Version 15.0.3, Intel® Math Kernel Library (Intel® MKL) Version 11.2 Update 3, Intel® Integrated Performance Primitives (Intel® IPP) Version 8.2 Update 2, Intel® Threading Building Blocks (Intel® TBB) Version 4.3 Update 5, Intel® Debugger Extension for Intel® Many Integrated Core Architecture (Intel® MIC Architecture) Version 7.7-8.0
New in this release:
Note: For more information on the changes listed above, please read the individual component release notes. See the previous releases's ReadMe to see what was new in that release.
Resources
Contents
File: w_ccompxe_online_2015.3.208.exe
Online installer
File: w_ccompxe_2015.3.208.exe
Product for developing 32-bit and 64-bit applications
File: w_ccompxe_redist_msi_2015.3.208.zip
Redistributable Libraries for 32-bit and 64-bit msi files
Intel® Parallel Studio XE 2015 Update 3 Composer Edition for Windows* includes Intel's latest Fortran and C/C++ compilers and performance libraries for IA-32 and Intel® 64 architecture systems. This new product release now includes: Intel® Visual Fortran Compiler 15.0.3, Intel® C++ Compiler XE Version 15.0.3, Intel® Math Kernel Library (Intel® MKL) Version 11.2 Update 3, Intel® Integrated Performance Primitives (Intel® IPP) Version 8.2 Update 2, Intel® Threading Building Blocks (Intel® TBB) Version 4.3 Update 5, Intel® Debugger Extension for Intel® Many Integrated Core Architecture (Intel® MIC Architecture) Version 7.7-8.0
New in this release:
Note: For more information on the changes listed above, please read the individual component release notes. See the previous releases's ReadMe to see what was new in that release.
Resources
Contents
File: w_compxe_online_2015.3.208.exe
Online installer
File: w_compxe_2015.3.208.exe
Product for developing 32-bit and 64-bit applications (with Microsoft Visual Studio 2010 Shell & Libraries*, English version)
File: w_compxe_all_jp_2015.3.208.exe
Product for developing 32-bit and 64-bit applications (with Microsoft Visual Studio 2010 Shell & Libraries*, Japanese version)
File: w_ccompxe_redist_msi_2015.3.208.zip
Redistributable Libraries for 32-bit and 64-bit msi files
File: w_fcompxe_redist_msi_2015.3.208.zip
Redistributable Libraries for 32-bit and 64-bit msi files
I'm looking at converting from a different library to Intel ones so I'm looking at function analogues.
There are vector set functsions( ippsSet_???), but I was wondering if there was an analogue for matrices, preferable for complex data.
Intel® Integrated Performance Primitives (Intel® IPP) is an extensive library of software functions to help you develop multimedia, data processing, and communications applications. Intel® IPP 8.2 Update 2 are now ready for download. Intel® IPP is available as part of Intel® Parallel Studio XE, Intel® System Studio, Intel® Integrated Native Developer Experience (Intel® INDE), Intel® Integrated Native Developer Experience 2015 Build Edition for OS X*
What's New in Intel® IPP 8.2 Update 2
Check out the Release Notes
Contents
Windows*:
Linux*:
OS X*:
