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

Great work! and where can I find the code?

thank you, amazing sharing~~

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.

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

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

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

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

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...

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

Great!!!!