Implementation Of Face Recognition “Access Control System” Using NVIDIA Jetson Nano - PART II
Hello...in my project I can run the Pipeline on camera images or on images from disk. I trained and tested it on my family and I created a BBT dataset for training/testing. Its trained on 7 Classes and it works quite well. I can detect and classify an image with 10 faces with ~10 FPS (see attachement). In my implementation adding more Classes will decrease the speed. I wouldn’t use more than ~10 classes.