test

my_metricv2.py

@@ -15,7 +15,8 @@
 
 import evaluate
 import datasets
-
+import motmetrics as mm
+import numpy as np
 
 # TODO: Add BibTeX citation
 _CITATION = """\
@@ -89,7 +90,14 @@ class MyMetricv2(evaluate.Metric):
     def _compute(self, predictions, references):
         """Returns the scores"""
         # TODO: Compute the different scores of the module
+
+        # <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)
+
+
         return {
             "accuracy": accuracy,
-        }
+        }
+    

requirements.txt

@@ -1,2 +1,4 @@
 git+https://github.com/huggingface/evaluate@main
+numpy
+motmetrics
 scikit-learn