Upload 2 files
Browse files- configs/nuscenes.yaml +134 -0
- configs/waymo.yaml +247 -0
configs/nuscenes.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: 11
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grid_dims: [256, 32, 256] # (W, H, D)
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labels:
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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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18: "truck"
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20: "other-vehicle"
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30: "person"
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40: "road"
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48: "sidewalk"
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49: "other-ground"
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50: "building"
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70: "vegetation"
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90: "other-object"
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99: "other-object2"
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color_map: # bgr
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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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18: [180, 30, 80]
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20: [255, 0, 0]
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30: [30, 30, 255]
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40: [255, 0, 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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70: [0, 175, 0]
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90: [255, 255, 50]
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99: [255, 255, 50]
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content: # as a ratio with the total number of points
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0: 1.98785873e-01
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10: 5.77638478e-04
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11: 3.68250377e-06
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15: 5.21755341e-06
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18: 1.86707793e-04
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20: 2.22423703e-04
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30: 5.49772336e-05
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40: 8.65070320e-03
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48: 1.93335044e-03
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49: 1.73705954e-04
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50: 4.92616008e-03
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70: 4.89254452e-03
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99: 2.43197941e-05
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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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# 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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# 18: 4 # "truck"
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# 20: 5 # "other-vehicle"
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# 30: 6 # "person"
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# 40: 7 # "road"
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# 48: 8 # "sidewalk"
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# 49: 9 # "other-ground"
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# 50: 10 # "building"
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# 70: 11 # "vegetation"
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# 71: 0 # "trunk"
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# 99: 12 # "other-object"
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# 255: 0 # "moving-motorcyclist" to "unlabeled" ------------------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: 48 # "sidewalk"
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# 9: 49 # "other-ground"
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# 10: 50 # "building"
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# 11: 70 # "vegetation"
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# 12: 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 # "sidewalk"
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# 9: False # "other-ground"
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# 10: False # "building"
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# 11: False # "vegetation"
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# 12: False # "other-object"
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learning_map:
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10: 1 # "car"
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11: 2 # "bicycle"
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13: 1 # "bus" mapped to "car" --------------------------mapped
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15: 3 # "motorcycle"
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18: 1 # "truck" mapped to "car" --------------------------mapped
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20: 1 # "other-vehicle" mapped to "car" --------------------------mapped
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30: 4 # "person"
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40: 5 # "road"
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48: 6 # "sidewalk"
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49: 7 # "other-ground"
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50: 8 # "building"
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70: 9 # "vegetation"
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71: 9 # "trunk" mapped to "vegetation" --------------------------mapped
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90: 10 # "other-object"
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99: 10 # "other-object"
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255: 0 # "moving-motorcyclist" to "unlabeled" ------------------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: 30 # "person"
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5: 40 # "road"
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6: 48 # "sidewalk"
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7: 49 # "other-ground"
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8: 50 # "building"
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9: 70 # "vegetation"
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10: 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 # "person"
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5: False # "road"
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6: False # "sidewalk"
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7: False # "other-ground"
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8: False # "building"
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9: False # "vegetation"
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10: False # "other-object"
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configs/waymo.yaml
ADDED
@@ -0,0 +1,247 @@
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# This file is covered by the LICENSE file in the root of this project.
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+
nbr_classes: 15
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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: 1 # "bus"
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15: 3 # "motorcycle"
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16: 1 # "on-rails" mapped to "other-vehicle" ---------------------mapped
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18: 1 # "truck"
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20: 1 # "other-vehicle"
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30: 4 # "person"
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31: 5 # "bicyclist"
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32: 5 # "motorcyclist"
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40: 6 # "road"
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44: 0 # "parking" ---ignore
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48: 7 # "sidewalk"
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49: 8 # "other-ground"
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50: 9 # "building"
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51: 0 # "fence" ---ignore
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52: 0 # "other-structure" ---ignore
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60: 6 # "lane-marking" mapped to "road"
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70: 10 # "vegetation"
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71: 11 # "trunk"
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72: 0 # "terrain" ---ignore
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80: 12 # "pole"
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81: 13 # "traffic-sign"
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99: 14 # "other-object"
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252: 1 # "moving-car" to "car" ------------------------------------mapped
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253: 5 # "moving-bicyclist" to "bicyclist" ------------------------mapped
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254: 4 # "moving-person" to "person" ------------------------------mapped
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255: 5 # "moving-motorcyclist" to "motorcyclist" ------------------mapped
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256: 1 # "moving-on-rails" mapped to "other-vehicle" --------------mapped
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257: 1 # "moving-bus" mapped to "bus" -------------------mapped
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258: 1 # "moving-truck" to "truck" --------------------------------mapped
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259: 1 # "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: 30 # "person"
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5: 31 # "bicyclist" + "motorcyclist"
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6: 40 # "road" + "lane marking"
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7: 48 # "sidewalk"
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8: 49 # "other-ground"
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9: 50 # "building"
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10: 70 # "vegetation"
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11: 71 # "trunk"
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12: 80 # "pole"
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13: 81 # "traffic-sign"
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14: 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
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2: False
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3: False
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4: False
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5: False
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6: False
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7: False
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8: False
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9: False
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10: False
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11: False
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12: False
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13: False
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14: False
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#UNIFIED
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# nbr_classes: 11
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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: 1 # "bus"
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# 15: 3 # "motorcycle"
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# 16: 1 # "on-rails" mapped to "other-vehicle" ---------------------mapped
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# 18: 1 # "truck"
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# 20: 1 # "other-vehicle"
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# 30: 4 # "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: 5 # "road"
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# 44: 0 # "parking" ---ignore
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90 |
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# 48: 6 # "sidewalk"
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# 49: 7 # "other-ground"
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# 50: 8 # "building"
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# 51: 0 # "fence" ---ignore
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# 52: 0 # "other-structure" ---ignore
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# 60: 6 # "lane-marking" mapped to "road" --------------------------mapped
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96 |
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# 70: 9 # "vegetation"
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97 |
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# 71: 9 # "trunk" mapped to "vegetation" --------------------------mapped
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# 72: 0 # "terrain" ---ignore
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99 |
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# 80: 10 # "pole" mapped to "other obejct" --------------------------mapped
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# 81: 10 # "traffic-sign" mapped to "other object" --------------------------mapped
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# 99: 10 # "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: 4 # "moving-person" to "person" ------------------------------mapped
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# 255: 0 # "moving-motorcyclist" to "unlabeled" ------------------mapped
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# 256: 1 # "moving-on-rails" mapped to "car" --------------mapped
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# 257: 1 # "moving-bus" mapped to "car" -------------------mapped
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# 258: 1 # "moving-truck" to "car" --------------------------------mapped
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# 259: 1 # "moving-other"-vehicle to "car" ----------------mapped
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# learning_map_inv: # inverse of previous map
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111 |
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# 0: 0 # "unlabeled", and others ignored
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112 |
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# 1: 10 # "car"
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113 |
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# 2: 11 # "bicycle"
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114 |
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# 3: 15 # "motorcycle"
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115 |
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# 4: 30 # "person"
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# 5: 40 # "road"
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# 6: 48 # "sidewalk"
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# 7: 49 # "other-ground"
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# 8: 50 # "building"
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# 9: 70 # "vegetation"
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# 10: 99 # "other-object"
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# learning_ignore: # Ignore classes
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123 |
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# 0: True # "unlabeled", and others ignored
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124 |
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# 1: False
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# 2: False
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126 |
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# 3: False
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127 |
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# 4: False
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128 |
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# 5: False
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129 |
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# 6: False
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# 7: False
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# 8: False
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# 9: False
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# 10: False
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140 |
+
grid_dims: [256, 32, 256] # (W, H, D)
|
141 |
+
labels:
|
142 |
+
0 : "unlabeled"
|
143 |
+
1 : "outlier"
|
144 |
+
10: "car"
|
145 |
+
11: "bicycle"
|
146 |
+
13: "bus"
|
147 |
+
15: "motorcycle"
|
148 |
+
16: "on-rails"
|
149 |
+
18: "truck"
|
150 |
+
20: "other-vehicle"
|
151 |
+
30: "person"
|
152 |
+
31: "bicyclist"
|
153 |
+
32: "motorcyclist"
|
154 |
+
40: "road"
|
155 |
+
44: "parking"
|
156 |
+
48: "sidewalk"
|
157 |
+
49: "other-ground"
|
158 |
+
50: "building"
|
159 |
+
51: "fence"
|
160 |
+
52: "other-structure"
|
161 |
+
60: "lane-marking"
|
162 |
+
70: "vegetation"
|
163 |
+
71: "trunk"
|
164 |
+
72: "terrain"
|
165 |
+
80: "pole"
|
166 |
+
81: "traffic-sign"
|
167 |
+
99: "other-object"
|
168 |
+
252: "moving-car"
|
169 |
+
253: "moving-bicyclist"
|
170 |
+
254: "moving-person"
|
171 |
+
255: "moving-motorcyclist"
|
172 |
+
256: "moving-on-rails"
|
173 |
+
257: "moving-bus"
|
174 |
+
258: "moving-truck"
|
175 |
+
259: "moving-other-vehicle"
|
176 |
+
color_map: # bgr
|
177 |
+
0 : [0, 0, 0]
|
178 |
+
1 : [0, 0, 255]
|
179 |
+
10: [245, 150, 100]
|
180 |
+
11: [245, 230, 100]
|
181 |
+
13: [250, 80, 100]
|
182 |
+
15: [150, 60, 30]
|
183 |
+
16: [255, 0, 0]
|
184 |
+
18: [180, 30, 80]
|
185 |
+
20: [255, 0, 0]
|
186 |
+
30: [30, 30, 255]
|
187 |
+
31: [200, 40, 255]
|
188 |
+
32: [90, 30, 150]
|
189 |
+
40: [255, 0, 255]
|
190 |
+
44: [255, 150, 255]
|
191 |
+
48: [75, 0, 75]
|
192 |
+
49: [75, 0, 175]
|
193 |
+
50: [0, 200, 255]
|
194 |
+
51: [50, 120, 255]
|
195 |
+
52: [0, 150, 255]
|
196 |
+
60: [170, 255, 150]
|
197 |
+
70: [0, 175, 0]
|
198 |
+
71: [0, 60, 135]
|
199 |
+
72: [80, 240, 150]
|
200 |
+
80: [150, 240, 255]
|
201 |
+
81: [0, 0, 255]
|
202 |
+
99: [255, 255, 50]
|
203 |
+
252: [245, 150, 100]
|
204 |
+
256: [255, 0, 0]
|
205 |
+
253: [200, 40, 255]
|
206 |
+
254: [30, 30, 255]
|
207 |
+
255: [90, 30, 150]
|
208 |
+
257: [250, 80, 100]
|
209 |
+
258: [180, 30, 80]
|
210 |
+
259: [255, 0, 0]
|
211 |
+
content: # as a ratio with the total number of points
|
212 |
+
0: 0.018889854628292943
|
213 |
+
1: 0.0002937197336781505
|
214 |
+
10: 0.040818519255974316
|
215 |
+
11: 0.00016609538710764618
|
216 |
+
13: 2.7879693665067774e-05
|
217 |
+
15: 0.00039838616015114444
|
218 |
+
16: 0.0
|
219 |
+
18: 0.0020633612104619787
|
220 |
+
20: 0.0016218197275284021
|
221 |
+
30: 0.00017698551338515307
|
222 |
+
31: 1.1065903904919655e-08
|
223 |
+
32: 5.532951952459828e-09
|
224 |
+
40: 0.1987493871255525
|
225 |
+
44: 0.014717169549888214
|
226 |
+
48: 0.14392298360372
|
227 |
+
49: 0.0039048553037472045
|
228 |
+
50: 0.1326861944777486
|
229 |
+
51: 0.0723592229456223
|
230 |
+
52: 0.002395131480328884
|
231 |
+
60: 4.7084144280367186e-05
|
232 |
+
70: 0.26681502148037506
|
233 |
+
71: 0.006035012012626033
|
234 |
+
72: 0.07814222006271769
|
235 |
+
80: 0.002855498193863172
|
236 |
+
81: 0.0006155958086189918
|
237 |
+
99: 0.009923127583046915
|
238 |
+
252: 0.001789309418528068
|
239 |
+
253: 0.00012709999297008662
|
240 |
+
254: 0.00016059776092534436
|
241 |
+
255: 3.745553104802113e-05
|
242 |
+
256: 0.0
|
243 |
+
257: 0.00011351574470342043
|
244 |
+
258: 0.00010157861367183268
|
245 |
+
259: 4.3840131989471124e-05
|
246 |
+
# classes that are indistinguishable from single scan or inconsistent in
|
247 |
+
# ground truth are mapped to their closest equivalent
|