FaceNet- OpenVINO

Steps to run the project

• Download the model file from here
• Create a model directory and save the model file in that directory
• Edit line 45 and 47 in main.py file. Add the openvino model and library path based on your system
• Run main.py file

Steps to run the project on a custom dataset

• Download the model file from here
• Create a model directory and save the model file in that directory
• Create a sample database, having the following directory structure

/data
|-- class_1 - 1.jpg
|
|-- class_2 - 2.jpg
.
.

• Run create_embeddings.py file to generate the embeddings for the custom dataset

• Edit line 45 and 47 in main.py file. Add the openvino model and library path based on your system
• Run main.py file.

NOTE - For inference on a video file. Save the video file in the videos directory. The output file for each video will be stored in the output directory.

You can checkout the processed video here -

https://youtu.be/YOCYXb5Qymo