A sample application to perform semantic search and face identification with embedding search on uploaded video.
- CPU: Intel® Core™ Ultra 7 processors
- RAM: 16GB
- DISK: 128GB
Install the latest Ubuntu* 22.04 LTS Desktop. Refer to Ubuntu Desktop installation tutorial if needed.
Please ensure that you have these ports available before running the applications.
| Apps | Port |
|---|---|
| Server | 5980 |
Download face detection and face regression models
sudo apt-get update
sudo apt-get install -y wget
mkdir -p ./data/model/facial_recognition
# Download face detection model
wget -O ./data/model/facial_recognition/face-detection-retail-0004.xml https://storage.openvinotoolkit.org/repositories/open_model_zoo/2023.0/models_bin/1/face-detection-retail-0004/FP32/face-detection-retail-0004.xml
wget -O ./data/model/facial_recognition/face-detection-retail-0004.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2023.0/models_bin/1/face-detection-retail-0004/FP32/face-detection-retail-0004.bin
# Download face regression model
wget -O ./data/model/facial_recognition/landmarks-regression-retail-0009.xml https://storage.openvinotoolkit.org/repositories/open_model_zoo/2023.0/models_bin/1/landmarks-regression-retail-0009/FP32/landmarks-regression-retail-0009.xml
wget -O ./data/model/facial_recognition/landmarks-regression-retail-0009.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2023.0/models_bin/1/landmarks-regression-retail-0009/FP32/landmarks-regression-retail-0009.binSetup the application dependencies
sudo apt-get update
sudo apt-get install -y python3-venv
python3 -m venv .venv
source .venv/bin/activate
python3 -m pip install -U pip
python3 -m pip install -r requirements.txtRun the following command to start the app
source .venv/bin/activate
python3 app.pyNavigate to http://localhost:5980
Docker and docker compose should be setup before running the commands below. Refer to here to setup docker.
docker compose build
docker compose up -d
Navigate to http://localhost:5980