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- """
- Python code snippets vol 39:
- stevepython.wordpress.com
- 192-Face Counter
- requirements: pip3 install opencv-python
- Also the file haarcascade_frontalface_default.xml needs to be in the
- current directory where you run the source code from.
- Do a search on your computer for it
- source:
- https://techtutorialsx.com/2017/05/02/python-opencv-face-detection-and-counting/
- """
- import cv2
- face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
- image = cv2.imread('crowd2.jpg')
- grayImage = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
- faces = face_cascade.detectMultiScale(grayImage)
- print(type(faces))
- if len(faces) == 0:
- print("No faces found")
- else:
- print(faces)
- print(faces.shape)
- print("Number of faces detected: " + str(faces.shape[0]))
- for (x, y, w, h) in faces:
- cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 1)
- cv2.rectangle(image, ((0, image.shape[0] -25)),
- (270, image.shape[0]), (255, 255, 255), -1)
- cv2.putText(image, "Number of faces detected: " + str(faces.shape[0]),
- (0, image.shape[0] -10),
- cv2.FONT_HERSHEY_TRIPLEX, 0.5, (0, 0, 0), 1)
- cv2.imshow('Image with faces', image)
- cv2.waitKey(0)
- cv2.destroyAllWindows()
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