Quantcast
Channel: OpenCV Q&A Forum - RSS feed
Viewing all articles
Browse latest Browse all 2088

Face detection not working on specific image

$
0
0
I am using the haarcascade_frontalface_default.xml classifier to detect faces in python 3 on Windows 7 with OpenCV 3.1.0 using the following code: import cv2 import sys classifier = cv2.CascadeClassifier ("haarcascade_frontalface_default.xml") image = cv2.imread (sys.argv[1]) # Read image from first command line param gray = cv2.cvtColor (image, cv2.COLOR_BGR2GRAY) # Convert the image to grey scale # Detect faces on image faces = classifier.detectMultiScale (gray, scaleFactor = 1.1, minNeighbors = 5, minSize = (30, 30), flags = cv2.CASCADE_SCALE_IMAGE) print ("Found {0} faces!".format (len (faces))) # Draw a rectangle around the faces for (x, y, w, h) in faces: cv2.rectangle (image, (x, y), (x+w, y+h), (0, 255, 0), 2) cv2.imshow ("Faces found", image) cv2.waitKey (0) cv2.destroyAllWindows () This code works fine for most face images I have. However it does not work for this specific image. ![C:\fakepath\1a.jpg](/upfiles/14987472981606097.jpg) Any idea why?

Viewing all articles
Browse latest Browse all 2088

Trending Articles