colab notebook: fix outdated link for doc

demo/MMSegmentation_Tutorial.ipynb

@@ -230,7 +230,7 @@
     "\n",
     "Datasets in MMSegmentation require image and semantic segmentation maps to be placed in folders with the same prefix. To support a new dataset, we may need to modify the original file structure. \n",
     "\n",
-    "In this tutorial, we give an example of converting the dataset. You may refer to [docs](https://github.com/open-mmlab/mmsegmentation/docs/en/tutorials/new_dataset.md) for details about dataset reorganization. \n",
+    "In this tutorial, we give an example of converting the dataset. You may refer to [docs](https://github.com/open-mmlab/mmsegmentation/blob/master/docs/en/tutorials/customize_datasets.md#customize-datasets-by-reorganizing-data) for details about dataset reorganization. \n",
     "\n",
     "We use [Stanford Background Dataset](http://dags.stanford.edu/projects/scenedataset.html) as an example. The dataset contains 715 images chosen from existing public datasets [LabelMe](http://labelme.csail.mit.edu), [MSRC](http://research.microsoft.com/en-us/projects/objectclassrecognition), [PASCAL VOC](http://pascallin.ecs.soton.ac.uk/challenges/VOC) and [Geometric Context](http://www.cs.illinois.edu/homes/dhoiem/). Images from these datasets are mainly outdoor scenes, each containing approximately 320-by-240 pixels. \n",
     "In this tutorial, we use the region annotations as labels. There are 8 classes in total, i.e. sky, tree, road, grass, water, building, mountain, and foreground object. "

mmseg/core/evaluation/class_names.py

@@ -120,10 +120,12 @@ def isaid_classes():
         'Soccer_ball_field', 'plane', 'Harbor'
     ]
 
+
 def stare_classes():
     """stare class names for external use."""
     return ['background', 'vessel']
 
+
 def cityscapes_palette():
     """Cityscapes palette for external use."""
     return [[128, 64, 128], [244, 35, 232], [70, 70, 70], [102, 102, 156],
@@ -257,10 +259,12 @@ def isaid_palette():
             [0, 0, 191], [0, 0, 255], [0, 191, 127], [0, 127, 191],
             [0, 127, 255], [0, 100, 155]]
 
+
 def stare_palette():
     """STARE palette for external use."""
     return [[120, 120, 120], [6, 230, 230]]
 
+
 dataset_aliases = {
     'cityscapes': ['cityscapes'],
     'ade': ['ade', 'ade20k'],
@@ -274,7 +278,7 @@ def stare_palette():
         'coco_stuff164k'
     ],
     'isaid': ['isaid', 'iSAID'],
-    'stare':['stare', 'STARE']
+    'stare': ['stare', 'STARE']
 }