2016-11-15 07:41:13 -0600 | asked a question | How to use opencv dft with Neon support from Qt on Raspberry Pi 3 Hi All. The problem is that my cv::dft function is running extremely slow on the raspberry pi 3, comparing when ran on a regular PC. I have a raspberry Pi 3 ( jessie ), with opencv 3.1.0 and Qt Creator 3.2.1 Based on Qt 5.3.2 (GCC 4.9.2, 32 bit) I tried recompiling opencv with Neon support like instructed here: http://hopkinsdev.blogspot.co.il/2016... and adding the following flags in Qt .pro file: QMAKE_CFLAGS = -mcpu=cortex-a7 -mfpu=neon-vfpv4 -ftree-vectorize -mfloat-abi=hard QMAKE_CXXFLAGS = -mcpu=cortex-a7 -mfpu=neon-vfpv4 -ftree-vectorize -mfloat-abi=hard but I seen no improvement in my app cv::dft run time. I also read the following article: https://www.raspberrypi.org/blog/acce... but the described class in the article ( GPU_FFT ) is for raspberry pi 1 and the article says fast GPU enabled fft can be done with opencv Neon support on Raspberry pi 3. Any idea how to make the cv::fft go faster, using the Raspberry pi 3 GPU? Thanks!! |