add recognition rate th in other functinos

user-friendly-metrics.py

@@ -86,10 +86,14 @@ class UserFriendlyMetrics(evaluate.Metric):
         # TODO: Download external resources if needed
         pass
 
-    def _compute(self, payload, max_iou: float = 0.5, debug: bool = False):
+    def _compute(self, 
+                 payload, 
+                 max_iou: float = 0.5, 
+                 recognition_thresholds = [0.3, 0.5, 0.8], 
+                 debug: bool = False):
         """Returns the scores"""
         # TODO: Compute the different scores of the module
-        return calculate_from_payload(payload, max_iou, debug)
+        return calculate_from_payload(payload, max_iou, recognition_thresholds, debug) 
         #return calculate(predictions, references, max_iou)
 
 def recognition(track_ratios, th = 0.5):
@@ -151,7 +155,10 @@ def calculate(predictions,
     
     return summary
 
-def calculate_from_payload(payload: dict, max_iou: float = 0.5, debug: bool = False):
+def calculate_from_payload(payload: dict, 
+                           max_iou: float = 0.5,
+                           recognition_thresholds = [0.3, 0.5, 0.8], 
+                           debug: bool = False):
     if not isinstance(payload, dict):
         try:
             payload = payload.to_dict()
@@ -200,7 +207,7 @@ def calculate_from_payload(payload: dict, max_iou: float = 0.5, debug: bool = Fa
             elif len(formated_references) == 0:
                 output[sequence][model] = "No ground truth."
             else:
-                output[sequence][model] = calculate(formated_predictions, formated_references, max_iou=max_iou)
+                output[sequence][model] = calculate(formated_predictions, formated_references, max_iou=max_iou, recognition_thresholds = recognition_thresholds)
     return output