我是OpenCV的新手。我需要使用opencv检测眼睛并将它们保存在文件夹中以进行进一步分类。我为相同的语言编写了以下脚本:
import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
cap = cv2.VideoCapture(0)
while True:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
count=1
for (x,y,w,h) in faces:
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:
crop_img = roi_color[ey: ey + eh, ex: ex + ew]
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
s="{0}.jpg"
s1='/home/kushal/Pictures/Webcam/'+s.format(count)
count=count+1
cv2.imwrite(s1,crop_img)
cv2.imshow('img',img)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
我想保存尽可能多的眼图。但是我只保存了3-4眼图像。每秒可以获取一帧或一幅图像吗?在此代码中应该做哪些修改?
最佳答案
将count=1
移到while-loop
之外。
count = 1
while True:
pass
#your code
而且
cv2.imshow
的缩进不是那么正确。import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
cap = cv2.VideoCapture(0)
count=1
while True:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.2, 5)
for (x,y,w,h) in faces:
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:
print(count)
crop_img = roi_color[ey: ey + eh, ex: ex + ew]
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
s1='tmp/{}.jpg'.format(count)
count=count+1
cv2.imwrite(s1,crop_img)
cv2.imshow('img',img)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
关于python - Python OpenCV-检测眼睛并保存,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/47377032/