Haar-cascade Detection
OpenCV中已經包含了許多預訓練的分類臉部,眼睛,微笑等,這些XML文件存儲在opencv/data/haarcascades/文件夾中。
本次實驗所需兩個XML檔
臉部
眼睛
import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
img = cv2.imread('face.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 3)
for (x,y,w,h) in faces:
img2 = 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]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imshow('img',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
參考資料:
http://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html#face-detection
https://realpython.com/blog/python/face-recognition-with-python/
http://stackoverflow.com/questions/29316590/face-detection-using-haar-opencv-python

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