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  1. configs/nuscenes.yaml +134 -0
  2. configs/waymo.yaml +247 -0
configs/nuscenes.yaml ADDED
@@ -0,0 +1,134 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # This file is covered by the LICENSE file in the root of this project.
2
+ nbr_classes: 11
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+ grid_dims: [256, 32, 256] # (W, H, D)
4
+ labels:
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+ 10: "car"
6
+ 11: "bicycle"
7
+ 13: "bus"
8
+ 15: "motorcycle"
9
+ 18: "truck"
10
+ 20: "other-vehicle"
11
+ 30: "person"
12
+ 40: "road"
13
+ 48: "sidewalk"
14
+ 49: "other-ground"
15
+ 50: "building"
16
+ 70: "vegetation"
17
+ 90: "other-object"
18
+ 99: "other-object2"
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+ color_map: # bgr
20
+ 10: [245, 150, 100]
21
+ 11: [245, 230, 100]
22
+ 13: [250, 80, 100]
23
+ 15: [150, 60, 30]
24
+ 18: [180, 30, 80]
25
+ 20: [255, 0, 0]
26
+ 30: [30, 30, 255]
27
+ 40: [255, 0, 255]
28
+ 48: [75, 0, 75]
29
+ 49: [75, 0, 175]
30
+ 50: [0, 200, 255]
31
+ 70: [0, 175, 0]
32
+ 90: [255, 255, 50]
33
+ 99: [255, 255, 50]
34
+ content: # as a ratio with the total number of points
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+ 0: 1.98785873e-01
36
+ 10: 5.77638478e-04
37
+ 11: 3.68250377e-06
38
+ 15: 5.21755341e-06
39
+ 18: 1.86707793e-04
40
+ 20: 2.22423703e-04
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+ 30: 5.49772336e-05
42
+ 40: 8.65070320e-03
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+ 48: 1.93335044e-03
44
+ 49: 1.73705954e-04
45
+ 50: 4.92616008e-03
46
+ 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"
52
+ # 11: 2 # "bicycle"
53
+ # 13: 5 # "bus" mapped to "other-vehicle" --------------------------mapped
54
+ # 15: 3 # "motorcycle"
55
+ # 18: 4 # "truck"
56
+ # 20: 5 # "other-vehicle"
57
+ # 30: 6 # "person"
58
+ # 40: 7 # "road"
59
+ # 48: 8 # "sidewalk"
60
+ # 49: 9 # "other-ground"
61
+ # 50: 10 # "building"
62
+ # 70: 11 # "vegetation"
63
+ # 71: 0 # "trunk"
64
+ # 99: 12 # "other-object"
65
+ # 255: 0 # "moving-motorcyclist" to "unlabeled" ------------------mapped
66
+ # learning_map_inv: # inverse of previous map
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+ # 0: 0 # "unlabeled", and others ignored
68
+ # 1: 10 # "car"
69
+ # 2: 11 # "bicycle"
70
+ # 3: 15 # "motorcycle"
71
+ # 4: 18 # "truck"
72
+ # 5: 20 # "other-vehicle"
73
+ # 6: 30 # "person"
74
+ # 7: 40 # "road"
75
+ # 8: 48 # "sidewalk"
76
+ # 9: 49 # "other-ground"
77
+ # 10: 50 # "building"
78
+ # 11: 70 # "vegetation"
79
+ # 12: 99 # "other-object"
80
+ # learning_ignore: # Ignore classes
81
+ # 0: True # "unlabeled", and others ignored
82
+ # 1: False # "car"
83
+ # 2: False # "bicycle"
84
+ # 3: False # "motorcycle"
85
+ # 4: False # "truck"
86
+ # 5: False # "other-vehicle"
87
+ # 6: False # "person"
88
+ # 7: False # "road"
89
+ # 8: False # "sidewalk"
90
+ # 9: False # "other-ground"
91
+ # 10: False # "building"
92
+ # 11: False # "vegetation"
93
+ # 12: False # "other-object"
94
+ learning_map:
95
+ 10: 1 # "car"
96
+ 11: 2 # "bicycle"
97
+ 13: 1 # "bus" mapped to "car" --------------------------mapped
98
+ 15: 3 # "motorcycle"
99
+ 18: 1 # "truck" mapped to "car" --------------------------mapped
100
+ 20: 1 # "other-vehicle" mapped to "car" --------------------------mapped
101
+ 30: 4 # "person"
102
+ 40: 5 # "road"
103
+ 48: 6 # "sidewalk"
104
+ 49: 7 # "other-ground"
105
+ 50: 8 # "building"
106
+ 70: 9 # "vegetation"
107
+ 71: 9 # "trunk" mapped to "vegetation" --------------------------mapped
108
+ 90: 10 # "other-object"
109
+ 99: 10 # "other-object"
110
+ 255: 0 # "moving-motorcyclist" to "unlabeled" ------------------mapped
111
+ learning_map_inv: # inverse of previous map
112
+ 0: 0 # "unlabeled", and others ignored
113
+ 1: 10 # "car"
114
+ 2: 11 # "bicycle"
115
+ 3: 15 # "motorcycle"
116
+ 4: 30 # "person"
117
+ 5: 40 # "road"
118
+ 6: 48 # "sidewalk"
119
+ 7: 49 # "other-ground"
120
+ 8: 50 # "building"
121
+ 9: 70 # "vegetation"
122
+ 10: 99 # "other-object"
123
+ learning_ignore: # Ignore classes
124
+ 0: True # "unlabeled", and others ignored
125
+ 1: False # "car"
126
+ 2: False # "bicycle"
127
+ 3: False # "motorcycle"
128
+ 4: False # "person"
129
+ 5: False # "road"
130
+ 6: False # "sidewalk"
131
+ 7: False # "other-ground"
132
+ 8: False # "building"
133
+ 9: False # "vegetation"
134
+ 10: False # "other-object"
configs/waymo.yaml ADDED
@@ -0,0 +1,247 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # This file is covered by the LICENSE file in the root of this project.
2
+
3
+ nbr_classes: 15
4
+ learning_map:
5
+ 0 : 0 # "unlabeled"
6
+ 1 : 0 # "outlier" mapped to "unlabeled" --------------------------mapped
7
+ 10: 1 # "car"
8
+ 11: 2 # "bicycle"
9
+ 13: 1 # "bus"
10
+ 15: 3 # "motorcycle"
11
+ 16: 1 # "on-rails" mapped to "other-vehicle" ---------------------mapped
12
+ 18: 1 # "truck"
13
+ 20: 1 # "other-vehicle"
14
+ 30: 4 # "person"
15
+ 31: 5 # "bicyclist"
16
+ 32: 5 # "motorcyclist"
17
+ 40: 6 # "road"
18
+ 44: 0 # "parking" ---ignore
19
+ 48: 7 # "sidewalk"
20
+ 49: 8 # "other-ground"
21
+ 50: 9 # "building"
22
+ 51: 0 # "fence" ---ignore
23
+ 52: 0 # "other-structure" ---ignore
24
+ 60: 6 # "lane-marking" mapped to "road"
25
+ 70: 10 # "vegetation"
26
+ 71: 11 # "trunk"
27
+ 72: 0 # "terrain" ---ignore
28
+ 80: 12 # "pole"
29
+ 81: 13 # "traffic-sign"
30
+ 99: 14 # "other-object"
31
+ 252: 1 # "moving-car" to "car" ------------------------------------mapped
32
+ 253: 5 # "moving-bicyclist" to "bicyclist" ------------------------mapped
33
+ 254: 4 # "moving-person" to "person" ------------------------------mapped
34
+ 255: 5 # "moving-motorcyclist" to "motorcyclist" ------------------mapped
35
+ 256: 1 # "moving-on-rails" mapped to "other-vehicle" --------------mapped
36
+ 257: 1 # "moving-bus" mapped to "bus" -------------------mapped
37
+ 258: 1 # "moving-truck" to "truck" --------------------------------mapped
38
+ 259: 1 # "moving-other"-vehicle to "other-vehicle" ----------------mapped
39
+ learning_map_inv: # inverse of previous map
40
+ 0: 0 # "unlabeled", and others ignored
41
+ 1: 10 # "car"
42
+ 2: 11 # "bicycle"
43
+ 3: 15 # "motorcycle"
44
+ 4: 30 # "person"
45
+ 5: 31 # "bicyclist" + "motorcyclist"
46
+ 6: 40 # "road" + "lane marking"
47
+ 7: 48 # "sidewalk"
48
+ 8: 49 # "other-ground"
49
+ 9: 50 # "building"
50
+ 10: 70 # "vegetation"
51
+ 11: 71 # "trunk"
52
+ 12: 80 # "pole"
53
+ 13: 81 # "traffic-sign"
54
+ 14: 99 # "other-object"
55
+ learning_ignore: # Ignore classes
56
+ 0: True # "unlabeled", and others ignored
57
+ 1: False
58
+ 2: False
59
+ 3: False
60
+ 4: False
61
+ 5: False
62
+ 6: False
63
+ 7: False
64
+ 8: False
65
+ 9: False
66
+ 10: False
67
+ 11: False
68
+ 12: False
69
+ 13: False
70
+ 14: False
71
+
72
+
73
+ #UNIFIED
74
+ # nbr_classes: 11
75
+ # learning_map:
76
+ # 0 : 0 # "unlabeled"
77
+ # 1 : 0 # "outlier" mapped to "unlabeled" --------------------------mapped
78
+ # 10: 1 # "car"
79
+ # 11: 2 # "bicycle"
80
+ # 13: 1 # "bus"
81
+ # 15: 3 # "motorcycle"
82
+ # 16: 1 # "on-rails" mapped to "other-vehicle" ---------------------mapped
83
+ # 18: 1 # "truck"
84
+ # 20: 1 # "other-vehicle"
85
+ # 30: 4 # "person"
86
+ # 31: 0 # "bicyclist" mapped to "unlabeled" --------------------------mapped
87
+ # 32: 0 # "motorcyclist" mapped to "unlabeled" --------------------------mapped
88
+ # 40: 5 # "road"
89
+ # 44: 0 # "parking" ---ignore
90
+ # 48: 6 # "sidewalk"
91
+ # 49: 7 # "other-ground"
92
+ # 50: 8 # "building"
93
+ # 51: 0 # "fence" ---ignore
94
+ # 52: 0 # "other-structure" ---ignore
95
+ # 60: 6 # "lane-marking" mapped to "road" --------------------------mapped
96
+ # 70: 9 # "vegetation"
97
+ # 71: 9 # "trunk" mapped to "vegetation" --------------------------mapped
98
+ # 72: 0 # "terrain" ---ignore
99
+ # 80: 10 # "pole" mapped to "other obejct" --------------------------mapped
100
+ # 81: 10 # "traffic-sign" mapped to "other object" --------------------------mapped
101
+ # 99: 10 # "other-object"
102
+ # 252: 1 # "moving-car" to "car" ------------------------------------mapped
103
+ # 253: 0 # "moving-bicyclist" to "unlabeled" ------------------------mapped
104
+ # 254: 4 # "moving-person" to "person" ------------------------------mapped
105
+ # 255: 0 # "moving-motorcyclist" to "unlabeled" ------------------mapped
106
+ # 256: 1 # "moving-on-rails" mapped to "car" --------------mapped
107
+ # 257: 1 # "moving-bus" mapped to "car" -------------------mapped
108
+ # 258: 1 # "moving-truck" to "car" --------------------------------mapped
109
+ # 259: 1 # "moving-other"-vehicle to "car" ----------------mapped
110
+ # learning_map_inv: # inverse of previous map
111
+ # 0: 0 # "unlabeled", and others ignored
112
+ # 1: 10 # "car"
113
+ # 2: 11 # "bicycle"
114
+ # 3: 15 # "motorcycle"
115
+ # 4: 30 # "person"
116
+ # 5: 40 # "road"
117
+ # 6: 48 # "sidewalk"
118
+ # 7: 49 # "other-ground"
119
+ # 8: 50 # "building"
120
+ # 9: 70 # "vegetation"
121
+ # 10: 99 # "other-object"
122
+ # learning_ignore: # Ignore classes
123
+ # 0: True # "unlabeled", and others ignored
124
+ # 1: False
125
+ # 2: False
126
+ # 3: False
127
+ # 4: False
128
+ # 5: False
129
+ # 6: False
130
+ # 7: False
131
+ # 8: False
132
+ # 9: False
133
+ # 10: False
134
+
135
+
136
+
137
+
138
+
139
+
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