Update MMSegmentation_Tutorial.ipynb (open-mmlab#1366)

typos

Author: andife

demo/MMSegmentation_Tutorial.ipynb

@@ -369,7 +369,7 @@
     "id": "HchvmGYB_rrO"
    },
    "source": [
-    "After downloading the data, we need to implement `load_annotations` function in the new dataset class `StandfordBackgroundDataset`."
+    "After downloading the data, we need to implement `load_annotations` function in the new dataset class `StanfordBackgroundDataset`."
    ]
   },
   {
@@ -384,7 +384,7 @@
     "from mmseg.datasets.custom import CustomDataset\n",
     "\n",
     "@DATASETS.register_module()\n",
-    "class StandfordBackgroundDataset(CustomDataset):\n",
+    "class StanfordBackgroundDataset(CustomDataset):\n",
     "  CLASSES = classes\n",
     "  PALETTE = palette\n",
     "  def __init__(self, split, **kwargs):\n",
@@ -440,7 +440,7 @@
    "source": [
     "from mmseg.apis import set_random_seed\n",
     "\n",
-    "# Since we use ony one GPU, BN is used instead of SyncBN\n",
+    "# Since we use only one GPU, BN is used instead of SyncBN\n",
     "cfg.norm_cfg = dict(type='BN', requires_grad=True)\n",
     "cfg.model.backbone.norm_cfg = cfg.norm_cfg\n",
     "cfg.model.decode_head.norm_cfg = cfg.norm_cfg\n",
@@ -450,7 +450,7 @@
     "cfg.model.auxiliary_head.num_classes = 8\n",
     "\n",
     "# Modify dataset type and path\n",
-    "cfg.dataset_type = 'StandfordBackgroundDataset'\n",
+    "cfg.dataset_type = 'StanfordBackgroundDataset'\n",
     "cfg.data_root = data_root\n",
     "\n",
     "cfg.data.samples_per_gpu = 8\n",