The code is:
import cv2
import sys
cascPath = sys.argv[1]
faceCascade = cv2.CascadeClassifier(cascPath)
video_capture = cv2.VideoCapture(1)
while True:
# Capture frame-by-frame
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE
)
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
# Display the resulting frame
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()
Code was from https://realpython.com/blog/python/face-detection-in-python-using-a-webcam/
The original code did not work because of deprication of cv2.cv.CV_HAAR_SCALE_IMAGE which is replaced with cv2.CASCADE_SCALE_IMAGE from guidance at https://stackoverflow.com/questions/41341409/where-is-cv-haar-scale-image-in-opencv-3-1-0-with-python-3-5
However, cv::CascadeClassifier::detectMultiScale causes exception with assertion (!empty()) at cascadedetect.cpp line 1681
I am using windoze 10, OpenCV 3.2, Python 2.7.9 64bit (stackless)
Any ideas please? It is a fresh install of OpenCV binaries.
Cheers,
B
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