a

my_metricv2.py

@@ -72,8 +72,12 @@ class MyMetricv2(evaluate.Metric):
             inputs_description=_KWARGS_DESCRIPTION,
             # This defines the format of each prediction and reference
             features=datasets.Features({
-                'predictions': datasets.Value('int64'),
-                'references': datasets.Value('int64'),
+                "predictions": [
+                    datasets.Sequence(datasets.Value("float32")),
+                ],
+                "references": [
+                    datasets.Sequence(datasets.Value("float32")),
+                ],
             }),
             # Homepage of the module for documentation
             homepage="http://module.homepage",
@@ -94,10 +98,13 @@ class MyMetricv2(evaluate.Metric):
         # <frame number>, <object id>, <bb_left>, <bb_top>, <bb_width>, <bb_height>, <confidence>, <x>, <y>, <z>
         # predictions array de formato []
 
-        accuracy = sum(i == j for i, j in zip(predictions, references)) / len(predictions)
-
+       #  accuracy = sum(i == j for i, j in zip(predictions, references)) / len(predictions)
+        
 
         return {
-            "accuracy": accuracy,
+           
+            "predictions": predictions,
+            "references": references
+    
         }