This project is designed for one shot face identify people in video.
- Face detection model used https://arxiv.org/pdf/1708.05234.pdf
- Face identify [one shot learnig] model used https://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf
- Multi object tracking using SORT algorithm https://arxiv.org/pdf/1602.00763.pdf
- python App.py for [web view]
- before run you should download the face compare weight file from the txt file in the folder
- after you get valid all requirements you just run App.py
- after you upload one video file through postman
- check it will response true or not
- http://0.0.0.0:5000/video_feed open this url in browser for output
- numpy==1.17.2
- tensorflow-gpu==1.14.0
- opencv-python==4.1.2.30
- scikit-learn==0.21.3
- numba==0.45.1
- filterpy==1.4.5
- Flask==1.1.1