minor

PanopticQuality.py

@@ -184,13 +184,13 @@ class PQMetric(evaluate.Metric):
                 result = result.T
             result_dict["scores"] = {id2label[numeric_label]: result[i].tolist() \
                                      for i, numeric_label in enumerate(things_stuffs)}
-            result_dict["scores"].update({"overall": result.mean(axis=0).tolist()})
+            result_dict["scores"].update({"ALL": result.mean(axis=0).tolist()})
             result_dict["numbers"] =  {id2label[numeric_label]: [tp[i].item(), fp[i].item(), fn[i].item(), iou[i].item()] \
                                        for i, numeric_label in enumerate(things_stuffs)}
-            result_dict["numbers"].update({"overall": [tp.sum().item(), fp.sum().item(), fn.sum().item(), iou.sum().item()]})
+            result_dict["numbers"].update({"ALL": [tp.sum().item(), fp.sum().item(), fn.sum().item(), iou.sum().item()]})
         else:
-            result_dict["scores"] = {"overall": result.tolist() if self.split_sq_rq else [result.tolist()]}
-            result_dict["numbers"] = {"overall": [tp.sum().item(), fp.sum().item(), fn.sum().item(), iou.sum().item()]}
+            result_dict["scores"] = {"ALL": result.tolist() if self.split_sq_rq else [result.tolist()]}
+            result_dict["numbers"] = {"ALL": [tp.sum().item(), fp.sum().item(), fn.sum().item(), iou.sum().item()]}
         
         return result_dict