tbb | Intel TBB with CMake build system | Build Tool library

The cause of the linker errors was this statement:

This post helped me solved the problem:

https://stackoverflow.com/a/41909627/3405291

The errors got resolved by:

Part of the provided example where the work with arenas happens is not one-to-one match to the example from the docs, "Setting the preferred NUMA node" section.

Looking further into the specification of the task_arena::execute() method, we can find out that the task_arena::execute() is a blocking API, i.e. it does not return until the passed lambda completes.

On the other hand, the specification of the task_group::run() method reveals that its method is asynchronous, i.e. returns immediately, not waiting for the passed functor to complete.

That is where the problem lies, I guess. The code executes two parallel loops within arenas one by one, in a serial manner so to say. Consider following the example from the docs carefully.

BTW, the oneTBB project, which is the revamped version of the TBB, can be found here.

EDIT answer for the EDITED question:

1. See the comment to the question.
2. The waiting should happen after work is submitted, not before it. Also, no need to go to another arena's task group to do the wait within the loop, just submit the work in the NUMA loop via arena[i].execute( [i, &] { task_group[i].run( [i, &] { /*...*/ } ); } ), then, in another loop, wait for each task_group within corresponding task_arena.

Please note how I capture the NUMA loop iteration by copy. Otherwise, the code might be referring the wrong data inside the lambda body.

The linker error shows that it cannot find the TBB symbols. The TBB library should be pointed to by the TBB_DIR variable. You don't have to set those variables manually using cmake's set() function. Instead - in the shell where you compile your own app - you can source OpenVINO's setupvars.sh script. Just run something like: source /opt/intel/openvino_2021/bin/setupvars.sh and re-run the compiler. I can see you're using CLion, not the terminal directly. In that case you can try adding the variable manually. The TBB location might be slightly different between the OV versions but in general it should point to a subdirectory of /opt/intel/openvino_2021 - just browse the installation directory and try to find it or source setupvars.sh in the terminal and copy the TBB_DIR env var value to your IDE.

• Header: https://github.com/opencv/opencv/blob/676a724491de423c5d964d83594f7e99aa0d31c7/modules/stitching/include/opencv2/stitching/detail/matchers.hpp#L140

• Implementation: https://github.com/opencv/opencv/blob/676a724491de423c5d964d83594f7e99aa0d31c7/modules/stitching/src/matchers.cpp#L338

It looks like mask needs to be a NxN uint8 (boolean) matrix, N being the number of images, i.e. len(features).

If docs are unclear/vague/lacking, feel free to open an issue on the github about it. This function seems a good candidate for improvement.

Consider creating a separate environment, e.g.,

One workaround is to add a field to Unit called CostCentersString in which the CostCenters list is re-serialized:

In Unit class definition:

For scheduling a TBB task, a rule of thumb is that a task should execute for at least 1 microsecond or 10,000 processor cycles in order to mitigate the overheads associated with task creation and scheduling.

Pre-scheduling the tasks in advance will not help in overcoming the thread scheduling overhead.

we are assuming a world where the slight additional overhead of dynamic task scheduling is the most effective at exposing the parallelism and exploiting it. This assumption has one fault: if we can program an application to perfectly match the hardware, without any dynamic adjustments, we may find a few percentage points gain in performance.

tbb::pipeline has been deprecated. It was replaced by tbb::parallel_pipeline. For more information please refer to the below link: https://spec.oneapi.io/versions/1.0-rev-3/elements/oneTBB/source/algorithms/functions/parallel_pipeline_func.html

First and foremost, please take a note that Windows 11 is not officially supported by OpenVINO. Hence, issues are expected. The same goes for PyQt5 integration with OpenVINO packages.

You could automate the OpenVINO setupvars.bat initialization using batch file creation in Windows.

Create a batch file that initializes OpenVINO environment and launch the software that you want (eg: VS2019)

Write the script below in the .bat file:

@echo on

cd \bin

CALL setupvars.bat

cd \2019\Community\Common7\IDE

CALL devenv.exe

Run the .bat file as administrator

Since the integration of OpenVINO and PyQt5 is not officially supported, there's no specific documentation to be followed as a guide.

On another note, a similar kind of integration has been implemented in openvino-smart-library. You may refer to this repository for reference/workaround.

In addition to that, you'll need to integrate the OpenVINO Inference Engine into your application (only C++ or Python is supported for this purpose). You may refer to this Integrate Inference Engine with Your Python Application.