fixed documentation

det-metrics.py

@@ -44,13 +44,15 @@ year={2014}
 """
 
 _DESCRIPTION = """\
-This evaluation metric is designed to give provide object detection metrics at different object size levels.
-It is based on a modified version of the commonly used COCO-evaluation metrics.
+This evaluation metric is designed to give provide object detection metrics at
+different object size levels. It is based on a modified version of the commonly used
+COCO-evaluation metrics.
 """
 
 
 _KWARGS_DESCRIPTION = """
-Calculates object detection metrics given predicted and ground truth bounding boxes for a single image.
+Calculates object detection metrics given predicted and ground truth bounding boxes for 
+a single image.
 Args:
     predictions: list of predictions for each image. Each prediction should
         be a dict containing the following
@@ -86,29 +88,28 @@ Returns:
         'nImgs': number of images considered in evaluation
 Examples:
     >>> import evaluate
-    >>> from seametrics.payload import PayloadProcessor
-    >>> payload = PayloadProcessor(...).payload  
-    >>> for model in payload.models:
-        >>> module = evaluate.load("SEA-AI/det-metrics", ...)
-        >>> module.add_from_payload(payload)
-        >>> result = module.compute()
-        >>> print(result)
-            {'all': {
-                'range': [0, 10000000000.0],
-                'iouThr': '0.00',
-                'maxDets': 100,
-                'tp': 1,
-                'fp': 3,
-                'fn': 1,
-                'duplicates': 0,
-                'precision': 0.25,
-                'recall': 0.5,
-                'f1': 0.3333333333333333,
-                'support': 2,
-                'fpi': 0,
-                'nImgs': 2
-                }
+    >>> from seametrics.payload.processor import PayloadProcessor
+    >>> payload = PayloadProcessor(...).payload
+    >>> module = evaluate.load("SEA-AI/det-metrics", ...)
+    >>> module.add_payload(payload)
+    >>> result = module.compute()
+    >>> print(result)
+        {'all': {
+            'range': [0, 10000000000.0],
+            'iouThr': '0.00',
+            'maxDets': 100,
+            'tp': 1,
+            'fp': 3,
+            'fn': 1,
+            'duplicates': 0,
+            'precision': 0.25,
+            'recall': 0.5,
+            'f1': 0.3333333333333333,
+            'support': 2,
+            'fpi': 0,
+            'nImgs': 2
             }
+        }
 """