images hardcoded

cameradetetion.py

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+import numpy as np
+import cv2
+import time
+import datetime
+from pprint import pprint
+from PIL import Image
+import os, os.path
+import glob
+
+
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+
+imgs = ['img/01.jpg','img/02.jpg','img/03.jpg','img/04.jpg','img/05.jpg','img/06.jpg','img/07.jpg','img/08.jpg','img/09.jpg']
+pprint (imgs)
+
+d = 0
+
+while True:
+
+    #read selected image
+    image = cv2.imread(imgs[d])
+    d+=1
+
+    imagegray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    faces = face_cascade.detectMultiScale(imagegray, 1.3, 5)
+
+    for (x,y,w,h) in faces:
+        cv2.rectangle(image,(x,y),(x+w,y+h),(0,0,0),-1)
+        roi_gray = imagegray[y:y+h, x:x+w]
+        roi_color = image[y:y+h, x:x+w]
+
+    print ("Displaying image")
+    cv2.imshow(('blocked%d.jpg'%d),image)
+    print ("Writing image")
+    cv2.imwrite(('blocked%d.jpg'%d),image)
+    k = cv2.waitKey(5) & 0xff
+    time.sleep(0.5)
+    if k == 27:
+        break
+
+cap.release()
+cv2.destroyAllWindows()