Update classifier.py

classifier.py

@@ -14,20 +14,24 @@ from tensorflow.keras.models import load_model
   #  copied_image2 = original_image.copy()
   #img = cv2.imread('car3.jpg')
 
-
+#img = cv2.imread(imagePath)
+#gray = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
 
 def my_function(uploaded_file):
-  img = Image.open(uploaded_file)
+
+  img = cv2.imread(uploaded_file)
+  gray = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) 
+  #img = Image.open(uploaded_file)
   
   # Loads the data required for detecting the license plates from cascade classifier.
   plate_cascade = cv2.CascadeClassifier('indian_license_plate.xml')
 
 
   def detect_plate(img, text=''): # the function detects and perfors blurring on the number plate.
-    #plate_img = img.copy()
-    #roi = img.copy()
-    plate_img = Image.open(img)
-    roi = Image.open(img) 
+    plate_img = img.copy()
+    roi = img.copy()
+    #plate_img = Image.open(img)
+    #roi = Image.open(img) 
 
       
     plate_rect = plate_cascade.detectMultiScale(plate_img, scaleFactor = 1.2, minNeighbors = 7) # detects numberplates and returns the coordinates and dimensions of detected license plate's contours.