more logging

src/LBP.py

@@ -19,6 +19,11 @@ class LBPImageEncoder:
         img_arr = np.array(image)
         print(img_arr.shape)
         gray_img = image.convert('L')
+        if gray_img.size == 0:
+            print("Error: Input image is empty.")
+        gray_img_arr = np.array(gray_img)
+        print(gray_img_arr.shape)
+        print(gray_img)
         print(gray_img)
         lbp = feature.local_binary_pattern(gray_img, self.numPoints, self.radius, method="uniform")
         (hist, _) = np.histogram(lbp.ravel(), bins=np.arange(0, self.numPoints + 3), range=(0, self.numPoints + 2))