Integral. Given an input image $pSrc$ and the specified value $nVal$, the pixel value of the integral image $pDst$ at coordinate (i, j) will be computed as. NVIDIA continuously works to improve all of our CUDA libraries. NPP is a particularly large library, with + functions to maintain. We have a realistic goal of. Name, cuda-npp. Version, Summary. Description, CUDA package cuda-npp. Section, base. License, Proprietary. Homepage. Recipe file.
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If I had to guess I’d say there is an optimization going wrong or the scaler could be running into a hardware limitation.
All NPP functions should be thread safe except for the following functions:. The nppi sub-libraries are split into sections corresponding to the way that nppi header files are split. The issue can be observed with CUDA 7. One can see the effect here in a montage of various combinations of hardware and software scalers and encoders.
To be safe in all cases however, this may require that you increase cyda memory allocated for your source image by 1 in both width and height.
NVIDIA Performance Primitives (NPP): NVIDIA Performance Primitives
In the meantime, a possible work around would be to increase oSrcROI. Opened 2 years ago. Primitives with result scaling have the “Sfs” suffix in their name and provide a parameter “nScaleFactor” that controls the amount of scaling.
A subset of NPP functions performing rounding as part of their functionality do allow the user to specify which rounding mode is used through a parameter of the NppRoundMode type.
Download in other formats: To minimize library loading and CUDA runtime startup times it is recommended to use the static library s whenever possible. The buffer size is returned via a host pointer as allocation of the scratch-buffer is performed via CUDA runtime host code. The initial set of functionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas.
My question is that: If an application intends to use NPP with multiple streams then it is the responsibility of the application to call nppSetStream whenever it wishes to change stream IDs.
NVIDIA Performance Primitives | NVIDIA Developer
You may be confusing “deprecated” with “removed”. The function in question Mirroris a known performance issue that we will improve in a future release. I don’t see a reason to deprecate it. And if the shift was 1. The one confirmed by Nvidia is unrelated to this. Consequently, cuLIBOS must be provided to the linker when the static library is being linked against.
The same problem could be said of many SW packages that arise from HW companies. A naive implementation may be close to optimal on newer devices.
For this reason it is recommended that cudaDeviceSynchronize or at least cudaStreamSynchronize be called before making an nppSetStream call to change to a new stream ID. Tunacode in Pakistan has some stuff too. In cases where the results exceed the original range, these functions clamp the result values back to the valid range. Although one can influence the result with a different pixel shift and thereby produce distinguishable images from the algorithms does this cuuda cause a minor shift in the image itself, which isn’t acceptable.
I’ll do some more tests with real footage and see how this affects the output. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains.
NVIDIA Performance Primitives
If it turns out to be with Nvidia then who knows when or if this gets fixed. I’m not saying it should be removed. So far the only response I got was to send in a feature request for Nvidia to provide the new functions, which I’ve done.
Pnp are no more identical outputs. After getting some info from the Nvidia forums and further reading cuds this the situation as it presents itself to me: In addition to the flavor suffix, all NPP functions are prefixed with by the letters “npp”.
As an aside, I don’t think any library can ever be “fully optimized”. To fix the issue in FFmpeg might require using the bit or floating-point implementation of this function.
Linking to only the sub-libraries that contain functions that your application uses can significantly improve load time and runtime startup performance.