尝试检测人脸时断言失败 215 错误
assertion failed 215 error when trying to detect faces
我正在使用 OpenCV
和 Python 来尝试使用 multidetect 检测人脸,但它似乎有问题。
这是我的代码:
#import required libraries
import cv2
import time
#point to the haar cascade file in the directory
cascPath = "haarcascade.xml"
#start the camera
video_capture = cv2.VideoCapture(0)
#give camera time to warm up
time.sleep(0.1)
#start video frame capture loop
while True:
# take the frame, convert it to black and white, and look for facial features
faceCascade = cv2.CascadeClassifier(cascPath)
ret, frame = video_capture.read()
if not ret: break
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# use appropriate flag based on version of OpenCV
if int(cv2.__version__.split('.')[0]) >= 3:
cv_flag = cv2.CASCADE_SCALE_IMAGE
else:
cv_flag = cv2.cv.CV_HAAR_SCALE_IMAGE
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv_flag
)
#for each face, draw a green rectangle around it and append to the image
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
#display the resulting image
cv2.imshow('Video', frame)
#set "q" as the key to exit the program when pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# clear the stream capture
video_capture.release()
cv2.destroyAllWindows()
这是我遇到的错误:
faces = faceCascade.detectMultiScale(
cv2.error: OpenCV(4.5.2) C:\Users\runneradmin\AppData\Local\Temp\pip-req-build-_8k9tw8n\opencv\modules\objdetect\src\cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'
解决方案:
你的错误的重要部分是:
error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'
基本上问题是在给定目录中找不到文件或者可能是格式问题。因此,尝试再次下载文件或使用 opencv
pip
软件包附带的文件,如下所示:
faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
我正在使用 OpenCV
和 Python 来尝试使用 multidetect 检测人脸,但它似乎有问题。
这是我的代码:
#import required libraries
import cv2
import time
#point to the haar cascade file in the directory
cascPath = "haarcascade.xml"
#start the camera
video_capture = cv2.VideoCapture(0)
#give camera time to warm up
time.sleep(0.1)
#start video frame capture loop
while True:
# take the frame, convert it to black and white, and look for facial features
faceCascade = cv2.CascadeClassifier(cascPath)
ret, frame = video_capture.read()
if not ret: break
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# use appropriate flag based on version of OpenCV
if int(cv2.__version__.split('.')[0]) >= 3:
cv_flag = cv2.CASCADE_SCALE_IMAGE
else:
cv_flag = cv2.cv.CV_HAAR_SCALE_IMAGE
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv_flag
)
#for each face, draw a green rectangle around it and append to the image
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
#display the resulting image
cv2.imshow('Video', frame)
#set "q" as the key to exit the program when pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# clear the stream capture
video_capture.release()
cv2.destroyAllWindows()
这是我遇到的错误:
faces = faceCascade.detectMultiScale(
cv2.error: OpenCV(4.5.2) C:\Users\runneradmin\AppData\Local\Temp\pip-req-build-_8k9tw8n\opencv\modules\objdetect\src\cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'
解决方案:
你的错误的重要部分是:
error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'
基本上问题是在给定目录中找不到文件或者可能是格式问题。因此,尝试再次下载文件或使用 opencv
pip
软件包附带的文件,如下所示:
faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')