Open MyraBaba opened 6 years ago
There are a set of internal tools in src/app
. The drishti-hci
app in src/app/hci
is close to what you want and is documented in the readme here:
https://github.com/elucideye/drishti/tree/master/src/app/hci
But... that has been replaced with a more recent cross platform facefilter application shown here:
The command line arguments are very similar. The facefilter
app builds on the installed public drishti package SDK, and includes iOS and Android versions.
This stuff is mostly geared towards real time performance on mobile platforms, leveraging a fast implementation of the ACF detector from Piotr's Toolbox. It runs optimized face detection at low resolution, then coarse landmarks (for eye localization), followed by eye model refinement.
Can you provide us an example command line which is using camera cap(0) and detecting eyes
If you literally just want to detect eyes on a desktop (assuming high res images) you could use this acf eye model with the ACF lib directly. If you are running on a desktop and have a GPU, then this eye model w/ lib's mmod detector might work well.
We will going to use and test it our raspberry Pi 3B+ boards. We have EMR ambulances and unfortunatelly sometimes they are working over hours.
So I wonder that I can make them an warning when their eyelids closed / sleeping
Before to dive in the codes I just want to test with and command line argument for Cam(0) in raspi
Hi,
We just found your library and want to have a test drive to our current projects.
succesfully compile..
its asking lot of args from command line.
Can you provide us an example command line which is using camera cap(0) and detecting eyes ?
best