I'm trying to highlight faces in a video with face_cascade. My code:
import cv2
face_cascade = cv2.CascadeClassifier('D:/Anaconda/Lib/site-packages/cv2/data/haarcascade_frontalface_default.xml')
frame2 = cv2.VideoCapture('C:/Users/HomePC/Desktop/video.mp4')
scaling_factor = 0.5
frame2 = cv2.resize(frame2, None, fx=scaling_factor, fy = scaling_factor, interpolation = cv2.INTER_AREA)
face_rects2 = face_cascade.detectMultiScale(frame2, scaleFactor = 1.3, minNeighbors = 6)
for (x,y,w,h) in face_rects1:
cv2.rectangle(frame2, (x,y), (x+w,y+h), (0,255,0), 3)
cv2.imshow('Input video', frame2)
print('Found {0} faces in Input video!'.format(len(face_rects2)))
And here is the error I get:
runfile('C:/Users/HomePC/Desktop/ArtInt/3lab/lab3.py', wdir='C:/Users/HomePC/Desktop/ArtInt/3lab')
Found 3 faces in Input image #2!
Traceback (most recent call last):
File "C:\Users\HomePC\Desktop\ArtInt\3lab\lab3.py", line 29, in <module>
frame2 = cv2.resize(frame2, None, fx=scaling_factor, fy = scaling_factor, interpolation = cv2.INTER_AREA)
TypeError: Expected Ptr<cv::UMat> for argument 'src'