From a896a6382cf006777633945129ecc25a71042b9c Mon Sep 17 00:00:00 2001 From: Lauren Gulland Date: Mon, 14 Mar 2016 00:15:52 -0400 Subject: [PATCH] Finished Computer Vision toolbox. Maps a cartoon face onto a recognized persons face. --- face_detect.py | 28 +++++++++++++++++++++++++++- 1 file changed, 27 insertions(+), 1 deletion(-) diff --git a/face_detect.py b/face_detect.py index 247a4d1..60eb75b 100644 --- a/face_detect.py +++ b/face_detect.py @@ -1,4 +1,30 @@ """ Experiment with face detection and image filtering using OpenCV """ import cv2 -import numpy as np \ No newline at end of file +import numpy as np + +cap = cv2.VideoCapture(0) +face_cascade = cv2.CascadeClassifier('/home/laurengulland/softwareDesign/ToolBox-ComputerVision/haarcascade_frontalface_alt.xml') +kernel = np.ones((21,21),'uint8') + +while(True): + # Capture frame-by-frame + ret, frame = cap.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) + #cv2.rectangle(frame,(x,y),(x+w,y+h),(0,0,255)) + cv2.circle(frame, (x+w/4,y+h/3), (w/10), (255,255,255), thickness=-1) + cv2.circle(frame, (x+w*3/4, y+h/3), (w/10), (255,255,255), thickness=-1) + cv2.circle(frame, (x+w/4,y+h/3), (w/30), (0,0,0), thickness=-1) + cv2.circle(frame, (x+w*3/4, y+h/3), (w/30), (0,0,0), thickness=-1) + cv2.line(frame, (x+w/4, y+h*3/4), (x+w*3/4, y+h*3/4), (0,0,0), thickness=4) + # Display the resulting frame + cv2.imshow('frame',frame) + if cv2.waitKey(1) & 0xFF == ord('q'): + break + +# When everything done, release the capture +cap.release() +cv2.destroyAllWindows() +