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  1. DSEC/labels.py +116 -0
  2. DSEC/test/zurich_city_13_a/11classes/000000.png +3 -0
  3. DSEC/test/zurich_city_13_a/11classes/000001.png +3 -0
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  50. DSEC/test/zurich_city_13_a/images/timestamps.txt +379 -0
DSEC/labels.py ADDED
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+ from collections import namedtuple
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+
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+ # a label and all meta information
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+ Label = namedtuple('Label', [
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+
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+ 'name', # The identifier of this label, e.g. 'car', 'person', ... .
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+ # We use them to uniquely name a class
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+
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+ 'id', # An integer ID that is associated with this label.
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+ # The IDs are used to represent the label in ground truth images
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+ # An ID of -1 means that this label does not have an ID and thus
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+ # is ignored when creating ground truth images (e.g. license plate).
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+ # Do not modify these IDs, since exactly these IDs are expected by the
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+ # evaluation server.
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+
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+ 'trainId', # Feel free to modify these IDs as suitable for your method. Then create
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+ # ground truth images with train IDs, using the tools provided in the
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+ # 'preparation' folder. However, make sure to validate or submit results
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+ # to our evaluation server using the regular IDs above!
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+ # For trainIds, multiple labels might have the same ID. Then, these labels
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+ # are mapped to the same class in the ground truth images. For the inverse
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+ # mapping, we use the label that is defined first in the list below.
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+ # For example, mapping all void-type classes to the same ID in training,
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+ # might make sense for some approaches.
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+ # Max value is 255!
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+
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+ 'category', # The name of the category that this label belongs to
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+
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+ 'categoryId', # The ID of this category. Used to create ground truth images
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+ # on category level.
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+
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+ 'hasInstances', # Whether this label distinguishes between single instances or not
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+
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+ 'ignoreInEval', # Whether pixels having this class as ground truth label are ignored
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+ # during evaluations or not
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+
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+ 'color', # The color of this label
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+ ])
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+
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+ labels_19 = [
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+ # name id trainId category catId hasInstances ignoreInEval color
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+ Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ),
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+ Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ),
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+ Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ),
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+ Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ),
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+ Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ),
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+ Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ),
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+ Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ),
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+ Label( 'road' , 7 , 0 , 'ground' , 1 , False , False , (128, 64,128) ),
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+ Label( 'sidewalk' , 8 , 1 , 'ground' , 1 , False , False , (244, 35,232) ),
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+ Label( 'parking' , 9 , 255 , 'ground' , 1 , False , True , (250,170,160) ),
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+ Label( 'rail track' , 10 , 255 , 'ground' , 1 , False , True , (230,150,140) ),
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+ Label( 'building' , 11 , 2 , 'construction' , 2 , False , False , ( 70, 70, 70) ),
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+ Label( 'wall' , 12 , 3 , 'construction' , 2 , False , False , (102,102,156) ),
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+ Label( 'fence' , 13 , 4 , 'construction' , 2 , False , False , (190,153,153) ),
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+ Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ),
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+ Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ),
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+ Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ),
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+ Label( 'pole' , 17 , 5 , 'object' , 3 , False , False , (153,153,153) ),
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+ Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ),
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+ Label( 'traffic light' , 19 , 6 , 'object' , 3 , False , False , (250,170, 30) ),
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+ Label( 'traffic sign' , 20 , 7 , 'object' , 3 , False , False , (220,220, 0) ),
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+ Label( 'vegetation' , 21 , 8 , 'nature' , 4 , False , False , (107,142, 35) ),
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+ Label( 'terrain' , 22 , 9 , 'nature' , 4 , False , False , (152,251,152) ),
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+ Label( 'sky' , 23 , 10 , 'sky' , 5 , False , False , ( 70,130,180) ),
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+ Label( 'person' , 24 , 11 , 'human' , 6 , True , False , (220, 20, 60) ),
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+ Label( 'rider' , 25 , 12 , 'human' , 6 , True , False , (255, 0, 0) ),
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+ Label( 'car' , 26 , 13 , 'vehicle' , 7 , True , False , ( 0, 0,142) ),
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+ Label( 'truck' , 27 , 14 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ),
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+ Label( 'bus' , 28 , 15 , 'vehicle' , 7 , True , False , ( 0, 60,100) ),
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+ Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ),
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+ Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ),
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+ Label( 'train' , 31 , 16 , 'vehicle' , 7 , True , False , ( 0, 80,100) ),
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+ Label( 'motorcycle' , 32 , 17 , 'vehicle' , 7 , True , False , ( 0, 0,230) ),
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+ Label( 'bicycle' , 33 , 18 , 'vehicle' , 7 , True , False , (119, 11, 32) ),
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+ Label( 'license plate' , -1 , -1 , 'vehicle' , 7 , False , True , ( 0, 0,142) ),
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+ ]
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+
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+ labels_11 = [
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+ # name id trainId category catId hasInstances ignoreInEval color
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+ Label('unlabeled', 0, 255, 'void', 0, False, True, (0, 0, 0)),
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+ Label('ego vehicle', 1, 255, 'void', 0, False, True, (0, 0, 0)),
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+ Label('rectification border', 2, 255, 'void', 0, False, True, (0, 0, 0)),
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+ Label('out of roi', 3, 255, 'void', 0, False, True, (0, 0, 0)),
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+ Label('static', 4, 255, 'void', 0, False, True, (0, 0, 0)),
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+ Label('dynamic', 5, 255, 'void', 0, False, True, (111, 74, 0)),
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+ Label('ground', 6, 255, 'void', 0, False, True, (81, 0, 81)),
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+ Label('road', 7, 5, 'flat', 1, False, False, (128, 64, 128)),
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+ Label('sidewalk', 8, 6, 'flat', 1, False, False, (244, 35, 232)),
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+ Label('parking', 9, 255, 'flat', 1, False, True, (250, 170, 160)),
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+ Label('rail track', 10, 255, 'flat', 1, False, True, (230, 150, 140)),
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+ Label('building', 11, 1, 'construction', 2, False, False, (70, 70, 70)),
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+ Label('wall', 12, 9, 'construction', 2, False, False, (102, 102, 156)),
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+ Label('fence', 13, 2, 'construction', 2, False, False, (190, 153, 153)),
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+ Label('guard rail', 14, 255, 'construction', 2, False, True, (180, 165, 180)),
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+ Label('bridge', 15, 255, 'construction', 2, False, True, (150, 100, 100)),
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+ Label('tunnel', 16, 255, 'construction', 2, False, True, (150, 120, 90)),
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+ Label('pole', 17, 4, 'object', 3, False, False, (153, 153, 153)),
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+ Label('polegroup', 18, 255, 'object', 3, False, True, (153, 153, 153)),
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+ Label('traffic light', 19, 10, 'object', 3, False, False, (250, 170, 30)),
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+ Label('traffic sign', 20, 10, 'object', 3, False, False, (220, 220, 0)),
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+ Label('vegetation', 21, 7, 'nature', 4, False, False, (107, 142, 35)),
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+ Label('terrain', 22, 7, 'nature', 4, False, False, (152, 251, 152)),
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+ Label('sky', 23, 0, 'sky', 5, False, False, (70, 130, 180)),
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+ Label('person', 24, 3, 'human', 6, True, False, (220, 20, 60)),
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+ Label('rider', 25, 3, 'human', 6, True, False, (255, 0, 0)),
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+ Label('car', 26, 8, 'vehicle', 7, True, False, (0, 0, 142)),
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+ Label('truck', 27, 8, 'vehicle', 7, True, False, (0, 0, 70)),
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+ Label('bus', 28, 8, 'vehicle', 7, True, False, (0, 60, 100)),
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+ Label('caravan', 29, 255, 'vehicle', 7, True, True, (0, 0, 90)),
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+ Label('trailer', 30, 255, 'vehicle', 7, True, True, (0, 0, 110)),
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+ Label('train', 31, 8, 'vehicle', 7, True, False, (0, 80, 100)),
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+ Label('motorcycle', 32, 8, 'vehicle', 7, True, False, (0, 0, 230)),
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+ Label('bicycle', 33, 8, 'vehicle', 7, True, False, (119, 11, 32)),
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+ Label('license plate', -1, 255, 'vehicle', 7, False, True, (0, 0, 142)),
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+ ]
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