Firefly face recognition SDK released.
[ytube]https://www.youtube.com/embed/Y3sgGpsctQ8[/ytube]
Now, we have entered the era of brush face. For example, face payment, face recognition access control, flow monitoring and so on. How to build DEMO in the Firefly open source board and achieve product quickly? In order to allow more products can be used face recognition technology, Firefly launched a high-performance face recognition SDK. The SDK’s face recognition algorithm, which operates efficiently, has high recognition accuracy and excellent performance, it can be applied to commercial products directly.
For business applications, please contact us product@t-firefly.com
The following instructions are about how to deploy and test the SDK on Firefly RK3399 platform.
1. Install Ubuntu16.04 system firmware on Firefly RK3399 open source board
Download the system
[u]https://drive.google.com/open?id=0B7HO8lbGgAqAX2oyZkg2QVQwZjA[/u]
Flash the firmware, refer here
[u]http://wiki.t-firefly.com/index.php/Firefly-RK3399/Flash_image/en[/u]
2. Download SDK
Download here
[u]https://drive.google.com/open?id=0B7HO8lbGgAqAN1VqcW1OdWNQbDQ[/u]
Download and extract, put it into the Firefly RK3399 file system, such as ~ / directory
SDK directory description
include: SDK header files
lib: dynamic library files
samples: The samples programs, FaceDetectImage is to detect faces in the picture, FaceDetectVideo is to detect faces in the video, FaceVerify is to compare faces in the picture.
3. Build operating environment
In the case of network connection, execute the script install_debs.sh which in the root directory of the SDK to a key install, the order is as follows:
./install_debs.sh dev
In the process, follow the prompts, you may need to enter the root password to get permission, or enter to confirm the installation
If the installation fails due to a network or other reason, try installing the following packages manually:
sudo apt install libboost-all-dev
sudo apt install libprotobuf-dev
sudo apt install protobuf-compiler
sudo apt install libopencv-dev
sudo apt install libhdf5-dev
sudo apt install libgflags-dev
sudo apt install libgoogle-glog-dev
sudo apt install libleveldb-dev
sudo apt install liblmdb-dev
sudo apt install libsnappy-dev
4. Run DEMO
Into the samples, in the corresponding directory to run the same name file, FaceDetectImage is to detect faces in the picture, FaceDetectVideo is to detect faces in the video, FaceVerify is to compare faces in the picture.
Note: Run DEMO need root privileges, please add sudo to run DEMO
After FaceDetectImage run, it will detect faces in the specified image and add to the mark, as shown below:
After FaceDetectVideo run, it will read the frame images from the video file and add to the mark, as shown below:
Run FaceVerify will recognize the similarity of faces in two images and output a similarity value. The similarity value is between 0 and 1, the closer the value is 1, indicating the higher the similarity, vice versa. As shown below
5. More application scenarios
For example, based on the USB camera face recognition access control system, according to different people to provide different temperature settings of intelligent air conditioning and so on.
For business applications, please contact us [u]product@t-firefly.com[/u]