F.E.A.S.T.

Using ML, AI, DS and AR for Feature Extraction & Augmented Super-imposition Technology

Notes

• Face Key point is taken from Facial-Keypoints-Detection repo

Notes ( For all team members )

• Then after review your work will be merged to the Main Branch
• for every changes make notes in git ( eg : V0.7 Add new datasets and made improvements in xzy.py)

Instructions for the running the Face Key Point

Requirement

• Webcam

Steps:

1. Download all the files in the folder of key point
2. Put all the files in same directory
3. Follow the code block in Python notebook
4. load the cascade file and model.h5 in the program
5. run the program to show the face point thought a webcam

Instructions for the running the Object/Distance code

Download the following files and make sure that all the files are in the same directory.

1. coco.names
2. yolov3.cfg
3. yolov3.weights

Version

V0.0 - Made the intial github repo and branch for everyone (by Ankit)

V0.1.0 - Made Folders for organization

V0.2.0 - Added Files for 15 Facpoint model and realtime run code (By Mahij)

V0.3.0 - Added Distance Calculation using YOLO for object detection (by Mohit)

V0.3.1 - Files are arranged into a folder & Updated READ.MD