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Create configs/kitti360.yaml

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  1. configs/kitti360.yaml +198 -0
configs/kitti360.yaml ADDED
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+ # This file is covered by the LICENSE file in the root of this project.
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+ nbr_classes: 19
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+ grid_dims: [256, 32, 256] # (W, H, D)
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+ labels:
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+ 0 : "unlabeled"
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+ 1 : "outlier"
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+ 10: "car"
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+ 11: "bicycle"
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+ 13: "bus"
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+ 15: "motorcycle"
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+ 16: "on-rails"
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+ 18: "truck"
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+ 20: "other-vehicle"
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+ 30: "person"
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+ 31: "bicyclist"
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+ 32: "motorcyclist"
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+ 40: "road"
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+ 44: "parking"
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+ 48: "sidewalk"
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+ 49: "other-ground"
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+ 50: "building"
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+ 51: "fence"
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+ 52: "other-structure"
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+ 60: "lane-marking"
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+ 70: "vegetation"
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+ 71: "trunk"
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+ 72: "terrain"
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+ 80: "pole"
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+ 81: "traffic-sign"
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+ 99: "other-object"
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+ 252: "moving-car"
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+ 253: "moving-bicyclist"
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+ 254: "moving-person"
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+ 255: "moving-motorcyclist"
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+ 256: "moving-on-rails"
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+ 257: "moving-bus"
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+ 258: "moving-truck"
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+ 259: "moving-other-vehicle"
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+ color_map: # bgr
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+ 0 : [0, 0, 0]
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+ 1 : [0, 0, 255]
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+ 10: [245, 150, 100]
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+ 11: [245, 230, 100]
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+ 13: [250, 80, 100]
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+ 15: [150, 60, 30]
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+ 16: [255, 0, 0]
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+ 18: [180, 30, 80]
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+ 20: [255, 0, 0]
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+ 30: [30, 30, 255]
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+ 31: [200, 40, 255]
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+ 32: [90, 30, 150]
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+ 40: [255, 0, 255]
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+ 44: [255, 150, 255]
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+ 48: [75, 0, 75]
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+ 49: [75, 0, 175]
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+ 50: [0, 200, 255]
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+ 51: [50, 120, 255]
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+ 52: [0, 150, 255]
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+ 60: [170, 255, 150]
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+ 70: [0, 175, 0]
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+ 71: [0, 60, 135]
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+ 72: [80, 240, 150]
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+ 80: [150, 240, 255]
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+ 81: [0, 0, 255]
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+ 99: [255, 255, 50]
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+ 252: [245, 150, 100]
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+ 256: [255, 0, 0]
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+ 253: [200, 40, 255]
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+ 254: [30, 30, 255]
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+ 255: [90, 30, 150]
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+ 257: [250, 80, 100]
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+ 258: [180, 30, 80]
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+ 259: [255, 0, 0]
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+ content: # as a ratio with the total number of points
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+ 0: 0.2848417452056936
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+ 1: 0.0
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+ 10: 0.01983749599411903
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+ 11: 9.719043492190106e-05
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+ 13: 8.812172901085409e-05
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+ 15: 0.00010387247418585811
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+ 16: 0.003498548779509923
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+ 18: 0.0022174305343550995
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+ 20: 0.0012293279317961631
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+ 30: 0.00019936933118689005
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+ 31: 8.34775248250103e-05
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+ 32: 0.0
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+ 40: 0.18301380891811173
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+ 44: 0.022222770320975044
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+ 48: 0.10658338271700511
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+ 49: 0.013312019108448078
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+ 50: 0.08266303552442433
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+ 51: 0.008460835861454078
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+ 52: 0.033257320133170704
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+ 60: 0.0
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+ 70: 0.16860900009553803
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+ 71: 0.0
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+ 72: 0.04732251443431639
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+ 80: 0.00032178137333487255
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+ 81: 8.959468958873611e-05
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+ 99: 0.0015188036331984448
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+ 252: 0.0
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+ 253: 0.0
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+ 254: 0.0
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+ 255: 0.0
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+ 256: 0.0
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+ 257: 0.0
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+ 258: 0.0
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+ 259: 0.0
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+ # classes that are indistinguishable from single scan or inconsistent in
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+ # ground truth are mapped to their closest equivalent
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+ learning_map:
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+ 0 : 0 # "unlabeled"
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+ 1 : 0 # "outlier" mapped to "unlabeled" --------------------------mapped
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+ 10: 1 # "car"
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+ 11: 2 # "bicycle"
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+ 13: 5 # "bus" mapped to "other-vehicle" --------------------------mapped
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+ 15: 3 # "motorcycle"
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+ 16: 5 # "on-rails" mapped to "other-vehicle" ---------------------mapped
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+ 18: 4 # "truck"
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+ 20: 5 # "other-vehicle"
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+ 30: 6 # "person"
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+ 31: 0 # "bicyclist" mapped to "unlabeled" --------------------mapped
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+ 32: 0 # "motorcyclist" mapped to "unlabeled" -----------------mapped
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+ 40: 7 # "road"
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+ 44: 8 # "parking"
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+ 48: 9 # "sidewalk"
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+ 49: 10 # "other-ground"
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+ 50: 11 # "building"
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+ 51: 12 # "fence"
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+ 52: 17 # "other-structure"
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+ 60: 7 # "lane-marking" to "road" ---------------------------------mapped
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+ 70: 13 # "vegetation"
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+ 71: 0 # "trunk"
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+ 72: 14 # "terrain"
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+ 80: 15 # "pole"
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+ 81: 16 # "traffic-sign"
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+ 99: 18 # "other-object"
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+ 252: 1 # "moving-car" to "car" ------------------------------------mapped
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+ 253: 0 # "moving-bicyclist" to "unlabeled" ------------------------mapped
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+ 254: 6 # "moving-person" to "person" ------------------------------mapped
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+ 255: 0 # "moving-motorcyclist" to "unlabeled" ------------------mapped
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+ 256: 5 # "moving-on-rails" mapped to "other-vehicle" --------------mapped
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+ 257: 5 # "moving-bus" mapped to "other-vehicle" -------------------mapped
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+ 258: 4 # "moving-truck" to "truck" --------------------------------mapped
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+ 259: 5 # "moving-other"-vehicle to "other-vehicle" ----------------mapped
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+ learning_map_inv: # inverse of previous map
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+ 0: 0 # "unlabeled", and others ignored
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+ 1: 10 # "car"
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+ 2: 11 # "bicycle"
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+ 3: 15 # "motorcycle"
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+ 4: 18 # "truck"
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+ 5: 20 # "other-vehicle"
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+ 6: 30 # "person"
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+ 7: 40 # "road"
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+ 8: 44 # "parking"
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+ 9: 48 # "sidewalk"
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+ 10: 49 # "other-ground"
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+ 11: 50 # "building"
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+ 12: 51 # "fence"
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+ 13: 70 # "vegetation"
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+ 14: 72 # "terrain"
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+ 15: 80 # "pole"
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+ 16: 81 # "traffic-sign"
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+ 17: 52 # "other-structure"
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+ 18: 99 # "other-object"
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+ learning_ignore: # Ignore classes
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+ 0: True # "unlabeled", and others ignored
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+ 1: False # "car"
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+ 2: False # "bicycle"
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+ 3: False # "motorcycle"
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+ 4: False # "truck"
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+ 5: False # "other-vehicle"
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+ 6: False # "person"
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+ 7: False # "road"
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+ 8: False # "parking"
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+ 9: False # "sidewalk"
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+ 10: False # "other-ground"
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+ 11: False # "building"
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+ 12: False # "fence"
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+ 13: False # "vegetation"
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+ 14: False # "terrain"
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+ 15: False # "pole"
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+ 16: False # "traffic-sign"
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+ 17: False # "other-structure"
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+ 18: False # "other-object"
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+ split: # sequence numbers
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+ train:
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+ - 0
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+ - 2
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+ - 3
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+ - 4
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+ - 5
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+ - 7
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+ - 10
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+ valid:
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+ - 6
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+ test:
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+ - 9