Face Recognition system trained using FaceNet for 81 people. Accuracy is around 70% achieved.

Details Explanation of FaceNet: here

Click here for Details Explanation in Burmese YouTube Video

1. Download miniconda3 and install.

2. Install conda evn and required pip library packages and go the environment.

conda env create -f environment.yml
pip install -r requirement.txt
conda activate CV

3. (Optional) If want to train on own image, follow the instructions from Facenet.

4. Run the test on single image.

python src/image.py --img_filename [PATH OF TEST IMAGE] --save_filename [NAME TO SAVE RESULT]

5. Run the real time video.

python src/video.py --video_link [0(WEB CAM) or 1(USB CAM) ]