Skip to content

Turning in my face detection code for the Computer Vision Toolbox #35

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
JosephLee19 wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Turning in my face detection code for the Computer Vision Toolbox #35

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
29 changes: 28 additions & 1 deletion face_detect.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,4 +1,31 @@
""" Experiment with face detection and image filtering using OpenCV """

import numpy as np
import cv2
import numpy as np

capture = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier('/home/joseph/ToolBox-ComputerVision/haarcascade_frontalface_alt.xml')
kernel = np.ones((21,21),'uint8')
while(True):
# Capture frame-by-frame
ret, frame = capture.read()
faces = face_cascade.detectMultiScale(frame, scaleFactor=1.2, minSize=(20,20))
for (x,y,w,h) in faces:
frame[y:y+h,x:x+w,:] = cv2.dilate(frame[y:y+h,x:x+w,:], kernel)# Blurs the face using dilate command
cv2.circle(frame, (x+int(.333*w),y+int(.333*h)), int(.125*h), (255,255,255), -1)
cv2.circle(frame, (x+int(.333*w),y+int(.333*h)), int(.0625*h), (5,5,5), -1)
cv2.circle(frame, (x+int(.666*w),y+int(.333*h)), int(.125*h), (255,255,255), -1)
cv2.circle(frame, (x+int(.666*w),y+int(.333*h)), int(.0625*h), (5,5,5), -1)
cv2.line(frame, (x+int(.35*w),y+int(.75*h)), (x+int(.7*w),y+int(.75*h)), (60,60,200),5)
cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0))

# Display the resulting frame
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break



capture.release()
cv2.destroyAllWindows()