Race to the Finish: Python vs C++ in OpenCV and Computer Vision Speed and Performance Test

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In this video 📝 we are going to do a Python vs C++ OpenCV Test. We will run some of the methods and applications that we have implemented during this tutorial and compare the performance in Python with C++. We will evaluate and talk about the results we get and why we get exactly those results in both Python and C++ with OpenCV. We will be going over some of the differences between using python or C++ for your computer vision implementation or application.
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Tags:
#PythonOpenCV #CppOpenCV #PythonVsCpp #OpenCV #ComputerVision #PythonComputerVision #CppComputerVision

[@NicolaiAI]

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[@arifaltiok216]

I think your visual studio mode is debug, although I can't see it exactly. Why didn't you run the release mod? I think opencv's release mode will work more than debug mode. Thanks for sharing.

[@NicolaiAI]

Yes unfortunately it was in debug mode, should definitely redo it in release mode. Thanks for watching!

[@gwamoniakable]

Typical problem of the runtime external libraries, similar problem occurs with Matlab (ImageProcesing toolbox) and C++ integration. A solution can be crate a function where you initialize the runtime library first and then call a desired algorithm. Another question would be how the OpenCV has been compiled along OpenCL? At the industrial level if the OpenCL has been chosen as the main GPU library I would check maybe SYCL implementation and create my own representation of the algorithm. Thanks for the test...

[@NicolaiAI]

Thank you for some ideas on why that result was a bit weird, will try to check them out. But it's still a bit weird that it seems to only be with the haar Cascade classifier. I will try a couple more algorithms/methods and see if the same result occurs

[@stefanAH97]

interesting and hard to understand, why for loop affects python performance so much
any idea how to integrate cython in python application? :) maybe that will help the issue

[@NicolaiAI]

It's because python is interpreted and c++ i compiled, so it's way faster. Not only for loops are faster, pretty much all the things but often forloops is the worst. I haven't actually worked with cython before. Often i just use python or c++ depending on the application. But my guess would be that it would not be easy to use modules/frameworks with cython

[@jesuschrist1501]

dont be lazy and just pick up c++, spend that energy learning cython on it. ;) you'd also become a better programmer too!

[@jcbritobr]

@@jesuschrist1501 or pyo3 with rust. I prefer rust over cpp for produce native python modules.

[@赛尼木]

Was wondering about this until seeing your video. Thx a lot!

[@NicolaiAI]

Ur welcome! Thanks for watching

[@leosmi1]

Is there a way to integrate Lua (python lupa) with openCV? Lua is based on C

[@isaacdavid3334]

i've checked and you are running c++ in debug mode :V

[@NicolaiAI]

Thanks for mentioning it! Should try in release

[@isaacdavid3334]

@@NicolaiAI hehe, no problem. Great content.
1. change the build type to release
2. and also launch it in without a debugging session(ctrl+F5 or go to debug->start without debugging

[@golfscienceguru]

@@NicolaiAI "Must" try in release builds, as "debug" builds using OpenCV "....d.lib's" rather than " .....lib's" noticeably slower even to the naked eye with objects moving with at least some noticeable stuttering on the screen.

[@xcoderliu4787]

thank you, amazing sharing~~

[@NicolaiAI]

Thank you very much!

[@jimxu1825]

Great work! and where can I find the code?

[@NicolaiAI]

Thanks a lot for watching! All the code should be available on my GitHub

[@Elektro768]

Great!!!!

[@NicolaiAI]

Thank you!

[@ranjansapkota5008]

Really Great
I hope you will soon make videos for geospatial data too... arcpy and gdal libraries