logging

src/LBP.py

@@ -14,6 +14,10 @@ class LBPImageEncoder:
         # of the image, and then use the LBP representation
         # to build the histogram of patterns
         print(image)
+        if image.size == 0:
+            print("Error: Input image is empty.")
+        img_arr = np.array(image)
+        print(img_arr.shape)
         gray_img = image.convert('L')
         print(gray_img)
         lbp = feature.local_binary_pattern(gray_img, self.numPoints, self.radius, method="uniform")