fix window_size and sampler

maskrcnn_benchmark/data/build.py

@@ -162,7 +162,6 @@ def make_data_loader(cfg, is_train=True, is_distributed=False, start_iter=0):
             sampler = torch.utils.data.sampler.SequentialSampler(dataset)
         else:
             sampler = make_data_sampler(dataset, shuffle, is_distributed)
-        sampler = torch.utils.data.sampler.SequentialSampler(dataset)
         batch_sampler = make_batch_data_sampler(
             dataset, sampler, aspect_grouping, images_per_gpu, num_iters, start_iter
         )

maskrcnn_benchmark/utils/metric_logger.py

@@ -10,7 +10,7 @@ class SmoothedValue(object):
     window or the global series average.
     """
 
-    def __init__(self, window_size=20):
+    def __init__(self, window_size=1):
         self.deque = deque(maxlen=window_size)
         self.series = []
         self.total = 0.0
@@ -61,6 +61,6 @@ class MetricLogger(object):
         loss_str = []
         for name, meter in self.meters.items():
             loss_str.append(
-                "{}: {:.4f} ({:.4f})".format(name, meter.median, meter.global_avg)
+                "{}: {:.4f} ({:.4f})".format(name, meter.median, meter.avg)
             )
         return self.delimiter.join(loss_str)