OpenCV中的攝像頭人臉檢測

**實現：

import cv2

import os
import numpy as np
import matplotlib.pyplot as plt
import cv2 as cv
from
pilimport image
import pytesseract as test
#攝像頭人臉檢測
def face_detect
(img)
:    gray = cv2.
cvtcolor
(img, cv2.
color_bgr2gray
)    # 載入分類器
faces_cascade = cv2.
cascadeclassifier
("haarcascade_frontalface_alt_tree.xml"
)    eyes_cascade = cv2.
cascadeclassifier
("haarcascade_eye.xml"
)    # detectmultiscale
()第三個引數數值越大，檢測錯誤率越低，但需要影象足夠清晰，若不夠清晰可能檢測失敗
faces = faces_cascade.
detectmultiscale
(gray,
1.02,2
)    eyes = eyes_cascade.
detectmultiscale
(gray,
1.02,25
)for x, y, w, h in faces:
img = cv2.
rectangle
(img,
(x, y)
,(x + w, y + h),(
255,0,
0),2
)for x, y, w, h in eyes:
img = cv2.
rectangle
(img,
(x, y)
,(x + w, y + h),(
0,255,0)
,2)    cv2.
namedwindow
('face'
, cv2.
window_autosize
)    cv2.
imshow
('face'
, img)
cv2.
waitkey(10
)capture = cv2.
videocapture(0
)while true:
ret,frame = capture.
read()
frame = cv2.
flip
(frame,1)
face_detect
(frame)

python opencv3 攝像頭人臉檢測

git 1 coding utf823 import cv2456 defdetect 7 建立人臉檢測的物件 8 face cascade cv2.cascadeclassifier data haarcascade frontalface default.xml 9 建立眼睛檢測的物件 10 e...

從攝像頭中檢測人臉

coding cp936 import cv2.cv as cv cv.namedwindow w1 cv.cv window autosize cv.namedwindow w2 cv.cv window autosize cv.movewindow w1 10,10 cv.movewindow ...

借助攝像頭在Python中實現人臉檢測

1 使用opencv中自帶的訓練器和檢測器。如果你想自己訓練乙個分類器來檢測汽車，飛機等的話，可以使用opencv來構建。2 opencv中已經包含了很多已經訓練好的分類器，其中包括 面部，眼睛，微笑等。這些xml檔案儲存在 opencv data haarcascades 檔案中。下面我將使用op...