Start by running install_opencv.sh to install the correct versions of everything on the Mac.
Then run prepare_example.sh to download materials needed for the facial detection algorithm.
Finally, run python2 facial_detection.py to detect faces and output the bounding box for any faces detected in the image.
Related repositories:
| import numpy as np | |
| import cv2 | |
| face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') | |
| eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') | |
| img = cv2.imread('bush.jpg') | |
| gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | |
| faces = face_cascade.detectMultiScale(gray, 1.3, 5) | |
| for (x,y,w,h) in faces: | |
| cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2) | |
| roi_gray = gray[y:y+h, x:x+w] | |
| roi_color = img[y:y+h, x:x+w] | |
| # If the 1.07 parameter becomes 1.08 we only detect right eye (???) | |
| eyes = eye_cascade.detectMultiScale(roi_gray, 1.07, 1) | |
| for (ex,ey,ew,eh) in eyes: | |
| cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,0,255),2) | |
| cv2.imwrite("detected_faces.jpg", img) | |
| cv2.imshow('img',img) | |
| cv2.waitKey(0) |
| #!/bin/bash | |
| # Install Python2 | |
| brew install python | |
| # Install OpenCV 2.4 | |
| brew install opencv@2 | |
| brew link --force opencv@2 | |
| # Make sure you have the latest Numpy | |
| pip2 install -U numpy | |
| pip2 install -U Pillow |
| #!/bin/bash | |
| # Target face image | |
| wget -O bush.jpeg https://upload.wikimedia.org/wikipedia/commons/thumb/d/d4/George-W-Bush.jpeg/580px-George-W-Bush.jpeg | |
| # Haar face detection parameters | |
| wget https://raw.githubusercontent.com/opencv/opencv/2.4/data/haarcascades/haarcascade_frontalface_default.xml | |
| wget https://raw.githubusercontent.com/opencv/opencv/2.4/data/haarcascades/haarcascade_eye.xml |