updates

train.py

@@ -36,6 +36,7 @@ def train(
 
     # Get dataloader
     dataloader = LoadImagesAndLabels(train_path, batch_size, img_size, augment=True)
+    # dataloader = torch.utils.data.DataLoader(dataloader, batch_size=batch_size, num_workers=0)
 
     lr0 = 0.001  # initial learning rate
     cutoff = -1  # backbone reaches to cutoff layer
@@ -81,7 +82,7 @@ def train(
     # Start training
     t0 = time.time()
     model_info(model)
-    n_burnin = min(round(dataloader.nB / 5 + 1), 1000)  # number of burn-in batches
+    n_burnin = min(round(len(dataloader) / 5 + 1), 1000)  # burn-in batches
     for epoch in range(epochs):
         model.train()
         epoch += start_epoch