I am trying to pass a jpeg image to detect faces using a hog classifier however I am getting an error that I don't understand.
Any help would be much-appreciated thanks.
I am using python 3.7 and open cv 4.3.0
import cv2
import matplotlib.pyplot as plt
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades +"hogcascade_pedestrians.xml")
def detect(gray, frame):
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray, 1.1, 18)
for (ex, ey, ew, eh) in eyes:
cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)
return frame
frame = cv2.imread('./data/images/cctv_still.JPG')
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
canvas = detect(gray, frame)
plt.imshow(canvas)
plt.show()
---------------------------------------------------------------------------
error Traceback (most recent call last)
<ipython-input-40-26fd794bdcbb> in <module>
19 frame = cv2.imread('./data/images/cctv_still.JPG')
20 gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
---> 21 canvas = detect(gray, frame)
22 plt.imshow(canvas)
23 plt.show()
<ipython-input-40-26fd794bdcbb> in detect(gray, frame)
5
6 def detect(gray, frame):
----> 7 faces = face_cascade.detectMultiScale(gray, 1.3, 5)
8 for (x, y, w, h) in faces:
9 cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
error: OpenCV(4.3.0) /io/opencv/modules/objdetect/src/cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'