fix variable names, use native min method

lib/inat_inferrer.py

@@ -563,10 +563,10 @@ def prepare_image_for_inference(file_path):
 
         eventual_size = 299
         central_crop_factor = 0.875
-        resize_min_dimension = eventual_size/central_crop_factor
+        resize_min_dimension = eventual_size / central_crop_factor
 
         height, width = image.shape[0], image.shape[1]
-        resize_ratio = np.array([height, width]).min() / resize_min_dimension
+        resize_ratio = min(height, width) / resize_min_dimension
         new_height = math.ceil(height / resize_ratio)
         new_width = math.ceil(width / resize_ratio)
         # resize the image so we can take a central crop without needing to resample again
@@ -577,11 +577,11 @@ def prepare_image_for_inference(file_path):
             preserve_aspect_ratio=True
         )
         # determine the upper-left corner that needs to be used to grab the square crop
-        upper_left = math.floor((new_height - eventual_size) / 2)
-        upper_right = math.floor((new_width - eventual_size) / 2)
+        offset_height = math.floor((new_height - eventual_size) / 2)
+        offset_width = math.floor((new_width - eventual_size) / 2)
         # take a square crop out of the resized image
         image = tf.image.crop_to_bounding_box(
-            image, upper_left, upper_right, eventual_size, eventual_size
+            image, offset_height, offset_width, eventual_size, eventual_size
         )
         return tf.expand_dims(image, 0)