only print the progress bar for rank 0

mmdet/core/evaluation/eval_hooks.py

@@ -34,6 +34,7 @@ class DistEvalHook(Hook):
             return
         runner.model.eval()
         results = [None for _ in range(len(self.dataset))]
+        if runner.rank == 0:
             prog_bar = mmcv.ProgressBar(len(self.dataset))
         for idx in range(runner.rank, len(self.dataset), runner.world_size):
             data = self.dataset[idx]
@@ -48,6 +49,7 @@ class DistEvalHook(Hook):
             results[idx] = result
 
             batch_size = runner.world_size
+            if runner.rank == 0:
                 for _ in range(batch_size):
                     prog_bar.update()