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python and cv2 error

.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}

0

this is my code

import cv2

import time



#point to the haar cascade file in the directory

cascPath = "haarcascade.xml"

faceCascade = cv2.CascadeClassifier(cascPath)



#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

    ret, frame = video_capture.read()

    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() 

and this is the error I get

Traceback (most recent call last):

  File "assets/scripts/face.py", line 31, in <module>

    flags=cv_flag

cv2.error: OpenCV(4.1.0) /io/opencv/modules/objdetect/src/cascadedetect.cpp:1658: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'

any ideas anyone

linux python

share|improve this question

asked 5 hours ago

TIBTHINKTIBTHINK

1

New contributor

TIBTHINK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

add a comment | 

0

this is my code

import cv2

import time



#point to the haar cascade file in the directory

cascPath = "haarcascade.xml"

faceCascade = cv2.CascadeClassifier(cascPath)



#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

    ret, frame = video_capture.read()

    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() 

and this is the error I get

Traceback (most recent call last):

  File "assets/scripts/face.py", line 31, in <module>

    flags=cv_flag

cv2.error: OpenCV(4.1.0) /io/opencv/modules/objdetect/src/cascadedetect.cpp:1658: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'

any ideas anyone

linux python

share|improve this question

asked 5 hours ago

TIBTHINKTIBTHINK

1

New contributor

TIBTHINK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

add a comment | 

this is my code

import cv2

import time



#point to the haar cascade file in the directory

cascPath = "haarcascade.xml"

faceCascade = cv2.CascadeClassifier(cascPath)



#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

    ret, frame = video_capture.read()

    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() 

and this is the error I get

Traceback (most recent call last):

  File "assets/scripts/face.py", line 31, in <module>

    flags=cv_flag

cv2.error: OpenCV(4.1.0) /io/opencv/modules/objdetect/src/cascadedetect.cpp:1658: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'

any ideas anyone

linux python

share|improve this question

asked 5 hours ago

TIBTHINKTIBTHINK

1

New contributor

TIBTHINK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

import cv2

import time



#point to the haar cascade file in the directory

cascPath = "haarcascade.xml"

faceCascade = cv2.CascadeClassifier(cascPath)



#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

    ret, frame = video_capture.read()

    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() 

Traceback (most recent call last):

  File "assets/scripts/face.py", line 31, in <module>

    flags=cv_flag

cv2.error: OpenCV(4.1.0) /io/opencv/modules/objdetect/src/cascadedetect.cpp:1658: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'

share|improve this question

asked 5 hours ago

TIBTHINKTIBTHINK

1

New contributor

TIBTHINK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

asked 5 hours ago

TIBTHINKTIBTHINK

1

New contributor

TIBTHINK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 5 hours ago

TIBTHINKTIBTHINK

1

New contributor

TIBTHINK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 5 hours ago

TIBTHINKTIBTHINK

1