Update README.md

README.md

@@ -20,7 +20,7 @@ This metric can be used to calculate object detection metrics. It has an option
 
 ## How to Use
 ```
->>> module = evaluate.load("./detection_metric.py")
+>>> module = evaluate.load("SEA-AI/det-metrics")
 # shape: (n_images, m_predicted_bboxes, xywh)
 >>> predictions = [
         [
@@ -80,7 +80,7 @@ Each sub-dictionary holds performance metrics at the specific area range level:
 #### Example 1
 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)
+>>> module = evaluate.load("SEA-AI/det-metrics", iou_thresholds=0.9)
 >>> predictions = [
         [
             [10, 15, 20, 25],
@@ -123,7 +123,7 @@ We can specify different area range levels, at which we would like to compute th
         ("medium", [6 ** 2, 12 ** 2]),  
         ("large", [12 ** 2, 1e5 ** 2])
     ]
->>> module = evaluate.load("./detection_metric.py", area_ranges_tuples=area_ranges_tuples)
+>>> module = evaluate.load("SEA-AI/det-metrics", area_ranges_tuples=area_ranges_tuples)
 >>> predictions = [
         [
             [10, 15, 5, 5],