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It is an object detecion algorithm based on the YOLOv3 and a fast RCNN which prevents adversarial attacks on normal face detection techniques. This is developed with motive of providing better and more accurate surveillance solutions. Scroll down below to see how you can implement this on your own computer.

Create the environment for tensorflow CPU on anaconda(3) prompt

conda env create -f conda-cpu.yml

Activate the environment

conda activate yolov3-cpu

Save the weights file

python load_weights.py (a .tf file should be created)

Run the main python file for activating the webcam

python detect_video.py --video 0

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  • Python 100.0%