Face Emotion Recognition

/ Computer Vision / By aicodeschool

Face Emotion Recognition

import cv2 ###  pip install opencv-python
 ## pip install opencv-contrib-python   fullpackage

This code install …

from deepface import DeepFace  ## pip install deepface

img = cv2.imread('happyboy.jpg')
plt.imshow(img)

plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))

predictions = DeepFace.analyze(img)

predictions = DeepFace.analyze(img, actions =['emotion'])
predictions['dominant_emotion']
img = cv2.imread('sad_women.jpg')
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))

predictions = DeepFace.analyze(img)
faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    #print(faceCascade.empty())
faces = faceCascade.detectMultiScale(gray,1.1,4)

    # Draw a rectangle around the faces
for(x, y, w, h) in faces:
    cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    #print(faceCascade.empty())
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))

font = cv2.FONT_HERSHEY_SIMPLEX 
  
    # Use putText() method for 
    # inserting text on video 
cv2.putText(img,  
                predictions['dominant_emotion'],  
                (50, 50),  
                font, 3,  
                (0, 255, 0),  
                2,  
                cv2.LINE_4) ;
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))

 img = cv2.imread('happyboy.jpg')
 predictions = DeepFace.analyze(img, actions =['emotion'])
 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    #print(faceCascade.empty())
faces = faceCascade.detectMultiScale(gray,1.1,4)

    # Draw a rectangle around the faces
for(x, y, w, h) in faces:
    cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
    font = cv2.FONT_HERSHEY_SIMPLEX 
  
    # Use putText() method for 
    # inserting text on video 
cv2.putText(img,  
                predictions['dominant_emotion'],  
                (0,50),  
                font, 2,  
                (0, 255, 0),  
                2,  
                cv2.LINE_4) ;
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))

img = cv2.imread('feared_man.jpg')
predictions = DeepFace.analyze(img, actions =['emotion'])
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    #print(faceCascade.empty())
faces = faceCascade.detectMultiScale(gray,1.1,4)

    # Draw a rectangle around the faces
for(x, y, w, h) in faces:
    cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
font = cv2.FONT_HERSHEY_SIMPLEX 
  
    # Use putText() method for 
    # inserting text on video 
cv2.putText(img,  
                predictions['dominant_emotion'],  
                (50,70),  
                font, 3,  
                (0, 0, 255),  
                4,  
                cv2.LINE_4) ;
                
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))

Code for Live Video Demo


import cv2 ###  pip install opencv-python
 ## pip install opencv-contrib-python   fullpackage 
from deepface import DeepFace  ## pip install deepface
path = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

cap = cv2.VideoCapture(1)
# Check if the webcam is opened correctly
if not cap.isOpened():
    cap = cv2.VideoCapture(0)
if not cap.isOpened():
    raise IOError("Cannot open webcam")

while True:
    ret,frame = cap.read()
    result = DeepFace.analyze(frame, actions = ['emotion'])
    
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    #print(faceCascade.empty())
    faces = faceCascade.detectMultiScale(gray,1.1,4)

    # Draw a rectangle around the faces
    for(x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
 
    font = cv2.FONT_HERSHEY_SIMPLEX 
  
    # Use putText() method for 
    # inserting text on video 
    cv2.putText(frame,  
                result['dominant_emotion'],  
                (50, 50),  
                font, 3,  
                (0, 0, 255),  
                2,  
                cv2.LINE_4) 
    cv2.imshow('Original video',frame)

    if cv2.waitKey(2) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()