Custom Haar Cascade : Face Mask Detector

 Face Mask Detector Using Haar Cascade Classifier

A. Source Code ( Vid Input )

# -*- coding: utf-8 -*-

"""

Created on Fri May  9 19:07:41 2020

@author: Renal

"""

import cv2

face_mask = cv2.CascadeClassifier('cascade.xml')

#img1 = cv2.imread('test5.jpeg')

#img = cv2.resize(img1,(240,300))

cap = cv2.VideoCapture('test1.mp4')

while cap.isOpened():

    

    _, img = cap.read()

    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    face = face_mask.detectMultiScale(gray,1.1,4)

    for(x,y,w,h) in face:

        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)

        roi_gray = gray[y:y+h, x:x+w]

        roi_color=img[y:y+h, x:x+w]

        font = cv2.FONT_HERSHEY_SIMPLEX

        cv2.putText(img, 'Using Mask',(55,280), font,0.5,(255,0,0))

    font = cv2.FONT_HERSHEY_SIMPLEX

    cv2.putText(img, 'Without Mask',(20,200), font,0.5,(255,255,255))

    cv2.imshow('test',img)

    if cv2.waitKey(1) & 0xFF ==ord('q'):

        break

    #cv2.waitKey()

cap.release()

cv2.destroyAllWindows()

B. Source Code ( Img Input )

# -*- coding: utf-8 -*-

"""

Created on Fri May  8 23:07:41 2020

@author: Renal

"""

import cv2

face_mask = cv2.CascadeClassifier('cascade.xml')

img1 = cv2.imread('mask.jpg')

img = cv2.resize(img1,(240,300))

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

face = face_mask.detectMultiScale(gray,1.1,4)

for(x,y,w,h) in face:

    cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)

    roi_gray = gray[y:y+h, x:x+w]

    roi_color = img[y:y+h, x:x+w]

    font = cv2.FONT_HERSHEY_SIMPLEX

    cv2.putText(img,'Using Mask', (55,280), font,0.5,(255,0,0))

font = cv2.FONT_HERSHEY_SIMPLEX

cv2.putText(img,'Without Mask',(20,200),font,0.5,(255,255,255))

cv2.imshow('test',img)

cv2.waitKey(0)    

cv2.destroyAllWindows()

Positive Datasets | | Download

Negative Datasets | | Download

Cascade.xml  | | Download

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