NIST FRVT Top Ranked Face Recognition SDK
Note
SDK is fully on-premise, processing all happens on hosting server and no data leaves server.
./FaceLivenessDetection-ServerSDK
├─ bin/linux_x86_64 - # Core library files
│ ├─ openvino
│ ├─ libfaceme_recog1.so
│ └─ libimutils.so
├─ cpp - # C++ example
│ ├─ CMakeLists.txt - # CMake file for build example
│ ├─ faceme_recog.h - # C++ header file to include library
│ └─ main.cpp - # C++ example code
├─ flask - # Python flask API serving example
│ ├─ app.py - # Flask example code
│ └─ requirements.txt - # Python requirement list
├─ model - # NN dictionary files for library
│ ├─ data1.bin
│ ├─ data2.bin
│ └─ data3.bin
├─ python - # Python example
│ ├─ faceme_recog.py - # Python library Import Interface file
│ ├─ main.py - # Python example code
│ └─ requirements.txt - # Python requirement list
├─ test_image - # Test Images
└─ Dockerfile - # Docker script for python flask API serving example
sudo apt-get update -y
sudo apt-get install -y libcurl4-openssl-dev libssl-dev libopencv-dev
cp -rf ./bin/linux_x86_64/openvino/* /usr/lib
cp ./bin/linux_x86_64/libimutils.so /usr/lib
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cd cpp
mkdir build && cd build
cmake ..
make
./example_recognition --image1 ../../test_image/Carlos_Menem_0018.jpg --image2 ../../test_image/Carlos_Menem_0020.jpg --model ../../model
cd python
pip install -r requirements.txt
python main.py
cd flask
pip install -r requirements.txt
python app.py
docker build --pull --rm -f "Dockerfile" -t facemerecognition:latest "."
docker run --network host facemerecognition
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