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All Projects → OAID → Ysqfastfd

OAID / Ysqfastfd

Licence: apache-2.0
A fast binary library for face detection and face landmark detection in images. No float point operations, especially suit for low cost Arm CPUs, The highest accuracy on FDDB among non deep learning methods

YSQ face detect algorithm demo on ARM (Linux) platform.

License

Performance on ARM platform

Test on Allwinner R40 (ARM32) and Rockchip RK3399 (ARM64)

Allwinner R40 A7 platform

R40_perf_two_face

Rockchip RK3399 A72 platform

RK3399_perf_two_face

Platform preparation :

  • ARM32 platform hardware board
  • Ubuntu 16.04 with GTK3 library
  • USB camera (480P/720P), YUYV

Build

Check the gtk+ devel library is installed

sudo apt install build-essential vim-gtk libgtk-3-0 libgtk-3-dev libegl1-mesa-dev

Build the runtime shared libraries

cd YSQfastfd
make -j4

run the demo

chmod +x ./run.sh
    ./run.sh

NOTE :

  • Type key 'q' to quit the display window.
  • Type key 's' to show the landmark info.
  • Type key 'p' to save the face picture.
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