No change in performance with Dlib with neon flag on Python

[harshkn]

Hi, I installed dlib for python with neon flag enabled successfully by using sudo python3 setup.py install --compiler-flags "-mfpu=neon". But when I try it with my program, I did not see any change in the computation time for each frame.

I use only correlation tracker and landmark detection. Is there any way I can check if dlib is really installed with neon ? I checked in the build folder

I found this in /dlib/tools/python/build/CMakeFiles/CMakeOutput.log

Compilation of the C compiler identification source "CMakeCCompilerId.c" produced "a.out" The C compiler identification is GNU, found in "/home/pi/dlib/tools/python/build/CMakeFiles/3.6.2/CompilerIdC/a.out" Compiling the CXX compiler identification source file "CMakeCXXCompilerId.cpp" succeeded. Compiler: /usr/bin/c++ Build flags: -mfpu=neon

Am I doing it right ? if yes how can I ensure dlib is compiled with neon by running some operation ?

Thanks in advance :)

[davisking]

It sounds like it's compiled with -mfpu=neon. It's just that some things don't benefit from NEON instructions very much, such as the things you are talking about using.

[harshkn]

Okay, thank you very much :)