Detecting cats faces with Cv2

Here is the code to check all the images in a folder and see if there are cats in it.

import cv2
from glob import glob


for photo in glob("*jpg"):
   # read the input image
   img = cv2.imread(photo)

   # convert the input image to grayscale
   gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

   # read the haarcascade to detect cat faces
   cat_cascade = cv2.CascadeClassifier('cat.xml')

   # Detects cat faces in the input image
   faces = cat_cascade.detectMultiScale(gray, 1.1, 3)
   print('Number of detected cat faces:', len(faces))

   # if atleast one cat face id detected
   if len(faces) > 0:
      print("Cat face detected")
      for (x,y,w,h) in faces:

         # To draw a rectangle in a face
         cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,255),2)
         cv2.putText(img, 'cat face', (x, y-3),
         cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,255,0), 1)
   else:
      print("No cat face detected")

   # Display an image in a window
   cv2.imshow('Cat Image',img)

   cv2.waitKey(0)

cv2.destroyAllWindows()

The repository for this code with some examples of photos

https://github.com/formazione/utilities