Error when converting image to black and white for OpenCV facial detection [duplicate]
Hello I am trying to create a facial recognition program but I have a peculiar error: here is my code:
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.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
cv2.__version__
I get
'4.0.0'
Solution 1:
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 = cv2.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
cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
Solution 2:
Well I was in this same problem, as @TylerStrouth mentioned this code snippet doesn't work :
cv2.CascadeClassifier(cv2.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)