OpenCV人臉檢測

import cv2

import matplotlib.pyplot as plt
#讀取**的人臉檢測：
img = cv2.imread('data/face.jpg',1)#讀取一張
gray = cv2.cvtcolor(img,cv2.color_bgr2gray)#將轉化成灰度
face_cascade = cv2.cascadeclassifier("haarcascade_frontalface_alt2.xml")
#此檔案是opencv的haar人臉特徵分類器
faces = face_cascade.detectmultiscale(gray, 1.3, 5)
for (x,y,w,h) in faces:
img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
cv2.imshow('img',img)
cv2.waitkey()

key = "申請的key"

secret = "申請的secret"

img = cv2.imread('data/face.jpg',1)#讀取一張

print("識別到了%d個人臉" % (facenum))

for i in range(facenum):

face_rectangle = faces[i]['face_rectangle']

width = face_rectangle['width']

top = face_rectangle['top']

left = face_rectangle['left']

height = face_rectangle['height']

start = (left, top)

end = (left + width, top + height)

color = (55, 255, 155)

thickness = 3

cv2.rectangle(img, start, end, color, thickness)

# 將bgr影象轉變為rgb影象以列印

cv_rgb = cv2.cvtcolor(img, cv2.color_bgr2rgb)

# 展示含有識別框的影象

plt.imshow(cv_rgb)

plt.show()

#

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