Update README.md

README.md

@@ -78,7 +78,6 @@ Each sub-dictionary holds performance metrics at the specific area range level:
 Basic usage example. Add predictions and references via `module.add_batch(predictions, references)` function. Finally, compute the metrics accross predictions and ground truths over different images via `module.compute()`.
 ```
 >>> module = evaluate.load("./detection_metric.py", iou_thresholds=0.9)
-
 >>> predictions = [
         [
             [10, 15, 20, 25],