MTCNN network with no framework to detect human face
this repository is the implementation of MTCNN with no framework, Just need opencv and openblas,implemented with C++,
no framework.
it is very easy for you to use.it is can be a part of your project with no framework, like caffe and mxnet.
it is real time for VGA, and you can improve it's runtime.
Enable snaps on CentOS and install mtcnn-light-cpp
Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. They update automatically and roll back gracefully.
Snaps are discoverable and installable from the Snap Store, an app store with an audience of millions.
Enable snapd
Snap is available for CentOS 7.6+, and Red Hat Enterprise Linux 7.6+, from the Extra Packages for Enterprise Linux (EPEL) repository. The EPEL repository can be added to your system with the following command:
sudo yum install epel-release
Snap can now be installed as follows:
sudo yum install snapd
Once installed, the systemd unit that manages the main snap communication socket needs to be enabled:
sudo systemctl enable --now snapd.socket
To enable classic snap support, enter the following to create a symbolic link between /var/lib/snapd/snap and /snap:
sudo ln -s /var/lib/snapd/snap /snap
Either log out and back in again, or restart your system, to ensure snap’s paths are updated correctly.
Install mtcnn-light-cpp
To install mtcnn-light-cpp, simply use the following command: