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FacialFilter.py
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FacialFilter.py
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# -*- coding: utf-8 -*-
"""
Created on Tue Jun 22 15:47:16 2021
@author: jackb
"""
import cv2
import sys
import PillowEdgeDetect
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
video_capture = cv2.VideoCapture(0)
img_counter = 0
while True:
#capture frame by frame
ret, frame = video_capture.read()
#cv2.imshow('frame', frame)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
k = cv2.waitKey(1)
faces = faceCascade.detectMultiScale(gray,scaleFactor=1.5,minNeighbors=5,minSize=(30,30),flags=cv2.CASCADE_SCALE_IMAGE)
print(faces)
#draw rectangle around faces
for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),
(x+w,y+h),(0,255,0),
2)
frame = PillowEdgeDetect.filterRectangle(frame,(x,y,w,h))
print(type(frame))
#display result
print(frame)
cv2.imshow('FaceDetection',frame)
if k%256 == 27: #ESC pressed
break
elif k%256 == 32: #SPACE pressed
img_name = "FaceDetect_webcam_{}.png".format(img_counter)
cv2.imwrite(img_name, frame)
print("{} written".format(img_name))
img_counter += 1
#Release the capture
video_capture.release()
cv2.destroyAllWindows()