Project Title

This Project Aims to develop face analytics models (CNN based models). Current project has models to estimate following information.

1. Ethinicity - Detects ethinicity from face with four classes as [ Asian, Indian, Black, White]
2. Gender- Detects human gender [Man , Woman]
3. Emotion - Detects seven different facial emotions such as ['angry', 'disgust', 'fear', 'happy', 'sad','surprise', 'neutral']

Quick Run

1. Download the race detection weights from https://drive.google.com/open?id=1KI_ih8li_zmK8GyaEizKmJT2k3EeQ6TH and place in "trained_models" folder ("Fweights" and "Mweights")
2. To test the output on new image siply run -

"python Api.py test_image_path PATH_TO_SAVE_OUTPUT"

Api saves the the image at PATH_TO_SAVE_OUTPUT with bounding box drawn around the detected face with detected Ethinicity, Gender and Emotion

Installing

Simply clone the Repo. Project is built with python 2.7 and NOT tested with python 3

Output

Some Test case results are shown below

Trained-Models

Trained models are available in folder "trained_models". All models are trained with carefully designed CNN models. Ethinicity/ race detection model uses the transfer learning approach

Contact developer for training scripts.

Versioning

-- Version 1.0 (Beta)

Authors

• Rupesh Wadibhasme
• Amit Nandi (co-author)