Fixed preparation of predictions for evaluate

Signed-off-by: Jim Martens <github@2martens.de>

src/twomartens/masterthesis/evaluate.py

@@ -104,11 +104,11 @@ def prepare_predictions(predictions: Sequence[Sequence[Sequence[Union[int, float
                 # Round the box coordinates to reduce the required memory.
                 confidence = box[1]
                 
-            xmin = round(box[xmin])
-            ymin = round(box[ymin])
-            xmax = round(box[xmax])
-            ymax = round(box[ymax])
-            prediction = (image_id, confidence, xmin, ymin, xmax, ymax)
+            xmin_value = round(box[xmin])
+            ymin_value = round(box[ymin])
+            xmax_value = round(box[xmax])
+            ymax_value = round(box[ymax])
+            prediction = (image_id, confidence, xmin_value, ymin_value, xmax_value, ymax_value)
             # Append the predicted box to the results list for its class.
             results[class_id].append(prediction)