OpenCV 4.0.0 SystemError: <class 'cv2.CascadeClassifier'> returned a result with an error set

Question:

Hello I am trying to create a facial recognition program but I have a peculiar error:
here is my code:

import cv2 as cv
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
face_cascade = cv.CascadeClassifier("lbpcascade_frontalface.xml")
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5);

and this error is the output

SystemError: <class 'cv2.CascadeClassifier'> returned a result with an error set

I have "lbpcascade_frontalface.xml" in the working directory so that shouldn’t be an issue

if it helps when I enter

cv.__version__

I get

'4.0.0'
Asked By: Tyler Strouth

||

Answers:

New Answer
OpenCV seems to now have a directory dedicated to cascades, they are placed in data and I am seeing something like this floating around in tutorials now
haar_cascade_face = cv.CascadeClassifier('data/haarcascade/haarcascade_frontalface_default.xml')
You may have to find where data is on your machine or the above my work. I have not touched this project since I finished it in early 2019.
Bear in mind this only works for frontal face, if you want to use Haar’s Cascade for eyes that is a separate file.

old answer
Turns out I didn’t need to download another file and use it because opencv comes with it this little bit of code worked

cv.CascadeClassifier(cv.data.haarcascades + "haarcascade_frontalface_default.xml")
Answered By: Tyler Strouth

As explained by @TylerStrouth above opencv has a directory of cascades in which the cascade files are available, I also faced the same problem while running the code for face detection on Ubuntu 16.04 and solved it as follows

  1. Get the location of opencv using

    whereis opencv

  2. Mine was in /usr/share/opencv

  3. Check whether the cascades are present in that location and copy paste the location in cv2.CascadeClassifier along with the required haarcascade

Answered By: Samruddhi Chitnis

I have encountered same issue in little different way.
I was using Jupiter notebook to execute code here

I copied XML file from here and created a XML file in current Jupiter directory, when loading this files using below:

classifier = CascadeClassifier('haarcascade_frontalface_default.xml')

Its returned me error :

SystemError: <class 'cv2.CascadeClassifier'> returned a result with an error set

So, I tried other way, removed this file, and downloaded actual file as XML format in current directory, which resolved my issue.

Answered By: ラビナンダン

Well I was in this same problem, as @TylerStrouth mentioned this code snippet doesn’t work :

cv.CascadeClassifier(cv.data.haarcascades + "haarcascade_frontalface_default.xml")

because there are no haarcascades files in data directory if you have just installed opencv in a standard format of pip install opencv-python or sudo apt-get install python3-opencv

You will get an error something similar to this stackoverflow question, therein is the mentioned solution that worked for me, that is if you’re using python3 then you need also to install opencv-contrib-python before running the above code snippet.

pip install opencv-contrib-python

which has full package (contains both main modules and contrib/extra modules)

Answered By: Arnav Das

I was having the same error when i was using hogcascade_pedestrians.xml to detect pedestrians from a local video and i was reading the hogcascade_pedestrians.xml as follows:

pedestrainsClassifier = cv2.CascadeClassifier("hogcascade_pedestrians.xml")

Of which you should read it as follows:

pedestrainsClassifier = cv2.CascadeClassifier(f"{cv2.data.haarcascades}hogcascade_pedestrians.xml")

Alternatively you can do it as follows:

pedestrainsClassifier = cv2.CascadeClassifier(cv2.data.haarcascades +"hogcascade_pedestrians.xml")

Good luck

Answered By: crispengari

Change your code as follows, this worked for me

har_cascade = cv2.CascadeClassifier(cv2.data.haarcascades +'har.xml')

Answered By: Satya Pati

On version 3.4.9.33 of opencv-python (pip show opencv-python, Windows) the below line works fine: trained_face_data = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

Answered By: Jacek Góraj