People Emotion Recognition
$100.00
Raise your platform’s efficiency with the fast and powerful sentiment recognition
With this CNN for facial emotion recognition, you can save expenses for video analytics automation and raise the effectiveness of your business, customer satisfaction, and sales.
Product Overview
Applications The PER model can recognize on video streams, records, and images all types of people’s emotions according to Dr. Ekman:
- Happiness
- Sadness
- Fear
- Anger
- Surprise
- Contempt
- Disgust
It also recognizes all combinations of these emotions.
Applications
You can best use this model in retail marketing for:
- analyzing customers’ reaction to your commodities and services
- creating heat maps Installation and Use
- assessing your marketing strategy
Installation and Use (Linux/MacOS)
1) download project / library
2) Install library `pip install *.whl` OR `python setup.py install`
How to use
- CLI
- Python interface
import cv2
from model import Model
import argparse
import sys
image = cv2.imread('../tests/surprised.jpg')
model = Model()
ret = model.process_sample(image)
print(ret)
# Text Output
image = cv2.putText(image, str(ret), (10, 50), cv2.FONT_HERSHEY_SIMPLEX,
1, (255, 0, 0), 2, cv2.LINE_AA)
cv2.imshow('Emotions', image)
key = cv2.waitKey(5000) #pauses for 5 seconds before fetching next image
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