【发布时间】:2021-09-02 07:37:24
【问题描述】:
我在下面的程序中遇到了正确的眼睛检测问题。问题是在错误的位置检测眼睛。如果有人知道答案,请帮忙
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_eye.xml')
while True:
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 5)
roi_gray = gray[y:y + w, x:x + w]
roi_color = frame[y:y + h, x:x + w]
eyes = eye_cascade.detectMultiScale(roi_gray, 1.3, 5)
for (ex, ey, ew, eh) in eyes:
# center_coordinates = ex + ew // 2, ey + eh // 2
radius = eh // 2
cv2.circle(roi_color, (ex, ey), radius, (0, 0, 255), 5)
#cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 5)
cv2.imshow('frame', frame)
if cv2.waitKey(1) == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
【问题讨论】:
-
您是打算在
roi_gray = gray[y:y + w, x:x + w]中使用y+w还是在roi_gray = gray[y:y + h, x:x + w]中使用y+h -
我修好了,但对我的问题没有帮助:(
标签: python opencv face-detection