another one

user-friendly-metrics.py

@@ -142,7 +142,7 @@ def calculate(predictions,
         acc.update(refs[:,0].astype('int').tolist(), preds[:,0].astype('int').tolist(), C)
 
     mh = mm.metrics.create()
-    summary = mh.compute(acc, metrics=['recall', 'precision', "num_objects", "num_false_positives", "num_matches", "num_misses", "num_detections"]).to_dict()
+    summary = mh.compute(acc, metrics=['recall', 'precision', "num_objects", "num_false_positives", "num_matches", "num_misses", "num_detections", "num_predictions"]).to_dict()
 
     df = events_to_df_map(acc.events)
     tr_ratios = track_ratios(df, obj_frequencies(df))