在 Python 中无法使用 OpenCV 检测面部和眼睛
Unable to detect face and eye with OpenCV in Python
此代码用于使用网络摄像头检测面部和眼睛但出现此错误
Traceback (most recent call last):
File "D:/Acads/7.1 Sem/BTP/FaceDetect-master/6.py", line 28, in <module>
eyes = eyeCascade.detectMultiScale(roi)
NameError: name 'roi' is not defined
但是当我使用此代码时确实检测图像中的面部和眼睛它工作正常没有任何错误
import matplotlib
import matplotlib.pyplot as plt
import cv2
import sys
import numpy as np
import os
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eyeCascade= cv2.CascadeClassifier('haarcascade_eye.xml')
video_capture = cv2.VideoCapture(0)
while True:
# Capture frame-by-frame
ret, frame = video_capture.read()
faces = faceCascade.detectMultiScale(frame)
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
roi = frame[y:y+h, x:x+w]
eyes = eyeCascade.detectMultiScale(roi)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi,(ex,ey),(ex+ew,ey+eh), 255, 2)
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
video_capture.release()
cv2.destroyAllWindows()
我觉得只是缩进的问题
当您退出 faces
循环时,roi
超出范围。
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
roi = frame[y:y+h, x:x+w]
# eyes detection runs for each face
eyes = eyeCascade.detectMultiScale(roi)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi,(ex,ey),(ex+ew,ey+eh), 255, 2)
此代码用于使用网络摄像头检测面部和眼睛但出现此错误
Traceback (most recent call last):
File "D:/Acads/7.1 Sem/BTP/FaceDetect-master/6.py", line 28, in <module>
eyes = eyeCascade.detectMultiScale(roi)
NameError: name 'roi' is not defined
但是当我使用此代码时确实检测图像中的面部和眼睛它工作正常没有任何错误
import matplotlib
import matplotlib.pyplot as plt
import cv2
import sys
import numpy as np
import os
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eyeCascade= cv2.CascadeClassifier('haarcascade_eye.xml')
video_capture = cv2.VideoCapture(0)
while True:
# Capture frame-by-frame
ret, frame = video_capture.read()
faces = faceCascade.detectMultiScale(frame)
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
roi = frame[y:y+h, x:x+w]
eyes = eyeCascade.detectMultiScale(roi)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi,(ex,ey),(ex+ew,ey+eh), 255, 2)
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
video_capture.release()
cv2.destroyAllWindows()
我觉得只是缩进的问题
当您退出faces
循环时,roi
超出范围。
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
roi = frame[y:y+h, x:x+w]
# eyes detection runs for each face
eyes = eyeCascade.detectMultiScale(roi)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi,(ex,ey),(ex+ew,ey+eh), 255, 2)