Ji-Pengliang commited on
Commit
10a6439
·
verified ·
1 Parent(s): b98dca5

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +7 -0
  2. 0256_txt_180b14113617/meta/.cache_manifest.json +7 -0
  3. 0256_txt_180b14113617/meta/camera_filter.json +3 -0
  4. 0256_txt_180b14113617/meta/dimension_filter.json +3 -0
  5. 0256_txt_180b14113617/meta/label_filter.json +3 -0
  6. 0256_txt_180b14113617/meta/scene.json +0 -0
  7. 0256_txt_180b14113617/meta/segmentation/filtered_objects_v3.json +15 -0
  8. 0256_txt_180b14113617/meta/segmentation/instance_info.json +254 -0
  9. 0256_txt_180b14113617/meta/segmentation/object_lists.json +160 -0
  10. 0256_txt_180b14113617/meta/segmentation/postprocess.done +0 -0
  11. 0256_txt_180b14113617/meta/segmentation/scene.json +332 -0
  12. 0256_txt_180b14113617/meta/segmentation/views/cameras.json +614 -0
  13. 0256_txt_180b14113617/meta/visibility.json +792 -0
  14. 0256_txt_180b14113617/meta/world_full.json +41 -0
  15. 0256_txt_180b14113617/meta/world_metadata.json +53 -0
  16. 0256_txt_180b14113617/tasks/000_closest_object/question_0.json +51 -0
  17. 0256_txt_180b14113617/tasks/000_closest_object/question_1.json +51 -0
  18. 0256_txt_180b14113617/tasks/000_closest_object/question_2.json +51 -0
  19. 0256_txt_180b14113617/tasks/000_closest_object/question_3.json +51 -0
  20. 0256_txt_180b14113617/tasks/000_closest_object/question_4.json +51 -0
  21. 0256_txt_180b14113617/tasks/000_closest_object/question_5.json +51 -0
  22. 0256_txt_180b14113617/tasks/000_closest_object/question_6.json +51 -0
  23. 0256_txt_180b14113617/tasks/000_closest_object/question_7.json +51 -0
  24. 0256_txt_180b14113617/tasks/001_depth_estimation/question_0.json +32 -0
  25. 0256_txt_180b14113617/tasks/001_depth_estimation/question_1.json +32 -0
  26. 0256_txt_180b14113617/tasks/001_depth_estimation/question_10.json +32 -0
  27. 0256_txt_180b14113617/tasks/001_depth_estimation/question_11.json +32 -0
  28. 0256_txt_180b14113617/tasks/001_depth_estimation/question_12.json +32 -0
  29. 0256_txt_180b14113617/tasks/001_depth_estimation/question_13.json +32 -0
  30. 0256_txt_180b14113617/tasks/001_depth_estimation/question_14.json +32 -0
  31. 0256_txt_180b14113617/tasks/001_depth_estimation/question_15.json +32 -0
  32. 0256_txt_180b14113617/tasks/001_depth_estimation/question_16.json +32 -0
  33. 0256_txt_180b14113617/tasks/001_depth_estimation/question_17.json +32 -0
  34. 0256_txt_180b14113617/tasks/001_depth_estimation/question_18.json +32 -0
  35. 0256_txt_180b14113617/tasks/001_depth_estimation/question_19.json +32 -0
  36. 0256_txt_180b14113617/tasks/001_depth_estimation/question_2.json +32 -0
  37. 0256_txt_180b14113617/tasks/001_depth_estimation/question_3.json +32 -0
  38. 0256_txt_180b14113617/tasks/001_depth_estimation/question_4.json +32 -0
  39. 0256_txt_180b14113617/tasks/001_depth_estimation/question_5.json +32 -0
  40. 0256_txt_180b14113617/tasks/001_depth_estimation/question_6.json +32 -0
  41. 0256_txt_180b14113617/tasks/001_depth_estimation/question_7.json +32 -0
  42. 0256_txt_180b14113617/tasks/001_depth_estimation/question_8.json +32 -0
  43. 0256_txt_180b14113617/tasks/001_depth_estimation/question_9.json +32 -0
  44. 0256_txt_180b14113617/tasks/002_distance_estimation/question_0.json +32 -0
  45. 0256_txt_180b14113617/tasks/002_distance_estimation/question_1.json +32 -0
  46. 0256_txt_180b14113617/tasks/002_distance_estimation/question_10.json +32 -0
  47. 0256_txt_180b14113617/tasks/002_distance_estimation/question_11.json +32 -0
  48. 0256_txt_180b14113617/tasks/002_distance_estimation/question_12.json +32 -0
  49. 0256_txt_180b14113617/tasks/002_distance_estimation/question_13.json +32 -0
  50. 0256_txt_180b14113617/tasks/002_distance_estimation/question_14.json +32 -0
.gitattributes CHANGED
@@ -198,3 +198,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
198
  0265_txt_3024175d897d/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
199
  0265_txt_3024175d897d/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
200
  0265_txt_3024175d897d/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
198
  0265_txt_3024175d897d/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
199
  0265_txt_3024175d897d/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
200
  0265_txt_3024175d897d/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
201
+ 0313_txt_a85e32eee804/meta/collider_mesh.glb filter=lfs diff=lfs merge=lfs -text
202
+ 0313_txt_a85e32eee804/meta/splat_500k.spz filter=lfs diff=lfs merge=lfs -text
203
+ 0313_txt_a85e32eee804/meta/scene.ply filter=lfs diff=lfs merge=lfs -text
204
+ 0313_txt_a85e32eee804/meta/splat_full_res.spz filter=lfs diff=lfs merge=lfs -text
205
+ 0313_txt_a85e32eee804/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
206
+ 0313_txt_a85e32eee804/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
207
+ 0313_txt_a85e32eee804/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
0256_txt_180b14113617/meta/.cache_manifest.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cache_key": "180b1411361788d1_marble-1.1_None",
3
+ "world_id": "dade6d7d-d858-4adb-992f-843a204f6727",
4
+ "operation_id": "d8cf493e-2601-4294-aec3-e5589f76b3ce",
5
+ "assets_downloaded": true,
6
+ "usd_converted": true
7
+ }
0256_txt_180b14113617/meta/camera_filter.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "rejected": []
3
+ }
0256_txt_180b14113617/meta/dimension_filter.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "excluded": []
3
+ }
0256_txt_180b14113617/meta/label_filter.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "excluded": []
3
+ }
0256_txt_180b14113617/meta/scene.json ADDED
The diff for this file is too large to render. See raw diff
 
0256_txt_180b14113617/meta/segmentation/filtered_objects_v3.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ "backsplash",
3
+ "basket",
4
+ "cabinet",
5
+ "countertop",
6
+ "electrical outlet",
7
+ "faucet",
8
+ "milk carton",
9
+ "plant",
10
+ "pot",
11
+ "robot arm",
12
+ "sink",
13
+ "toaster",
14
+ "vase"
15
+ ]
0256_txt_180b14113617/meta/segmentation/instance_info.json ADDED
@@ -0,0 +1,254 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "1": {
3
+ "instance_id": 1,
4
+ "label": "bowl_0",
5
+ "category": "bowl",
6
+ "n_gaussians": 4231,
7
+ "center": [
8
+ 0.9309447407722473,
9
+ 0.4089795649051666,
10
+ -1.0844531059265137
11
+ ],
12
+ "bbox_min": [
13
+ 0.766845703125,
14
+ 0.291015625,
15
+ -1.49462890625
16
+ ],
17
+ "bbox_max": [
18
+ 1.303955078125,
19
+ 0.590576171875,
20
+ -0.9248046875
21
+ ]
22
+ },
23
+ "2": {
24
+ "instance_id": 2,
25
+ "label": "bread_0",
26
+ "category": "bread",
27
+ "n_gaussians": 18421,
28
+ "center": [
29
+ -0.8334783315658569,
30
+ 0.4536176025867462,
31
+ 0.7866714000701904
32
+ ],
33
+ "bbox_min": [
34
+ -1.3466796875,
35
+ 0.373291015625,
36
+ 0.423828125
37
+ ],
38
+ "bbox_max": [
39
+ -0.61767578125,
40
+ 0.61328125,
41
+ 1.302734375
42
+ ]
43
+ },
44
+ "3": {
45
+ "instance_id": 3,
46
+ "label": "faucet_0",
47
+ "category": "faucet",
48
+ "n_gaussians": 4002,
49
+ "center": [
50
+ 0.8229077458381653,
51
+ -0.1655583381652832,
52
+ -0.8876512050628662
53
+ ],
54
+ "bbox_min": [
55
+ 0.595458984375,
56
+ -0.5361328125,
57
+ -1.595947265625
58
+ ],
59
+ "bbox_max": [
60
+ 1.208740234375,
61
+ 0.600341796875,
62
+ 1.472412109375
63
+ ]
64
+ },
65
+ "4": {
66
+ "instance_id": 4,
67
+ "label": "glass_0",
68
+ "category": "glass",
69
+ "n_gaussians": 4455,
70
+ "center": [
71
+ 1.0421040058135986,
72
+ 0.2736871838569641,
73
+ -0.823643147945404
74
+ ],
75
+ "bbox_min": [
76
+ 0.94189453125,
77
+ -0.000244140625,
78
+ -1.03759765625
79
+ ],
80
+ "bbox_max": [
81
+ 1.2119140625,
82
+ 0.583740234375,
83
+ -0.70166015625
84
+ ]
85
+ },
86
+ "5": {
87
+ "instance_id": 5,
88
+ "label": "milk carton_0",
89
+ "category": "milk carton",
90
+ "n_gaussians": 10903,
91
+ "center": [
92
+ -0.7582936882972717,
93
+ 0.30785244703292847,
94
+ 1.2525221109390259
95
+ ],
96
+ "bbox_min": [
97
+ -1.0361328125,
98
+ 0.12255859375,
99
+ 0.98828125
100
+ ],
101
+ "bbox_max": [
102
+ -0.572998046875,
103
+ 0.60400390625,
104
+ 1.431884765625
105
+ ]
106
+ },
107
+ "6": {
108
+ "instance_id": 6,
109
+ "label": "outlet_0",
110
+ "category": "outlet",
111
+ "n_gaussians": 6400,
112
+ "center": [
113
+ -0.891569972038269,
114
+ -0.12845481932163239,
115
+ 1.376854658126831
116
+ ],
117
+ "bbox_min": [
118
+ -1.189697265625,
119
+ -0.232421875,
120
+ 1.34423828125
121
+ ],
122
+ "bbox_max": [
123
+ -0.697998046875,
124
+ -0.031005859375,
125
+ 1.423828125
126
+ ]
127
+ },
128
+ "7": {
129
+ "instance_id": 7,
130
+ "label": "plant_0",
131
+ "category": "plant",
132
+ "n_gaussians": 5534,
133
+ "center": [
134
+ 0.9972672462463379,
135
+ 0.1873745322227478,
136
+ -1.164594292640686
137
+ ],
138
+ "bbox_min": [
139
+ 0.750244140625,
140
+ 0.002685546875,
141
+ -1.51806640625
142
+ ],
143
+ "bbox_max": [
144
+ 1.3388671875,
145
+ 0.344482421875,
146
+ -0.921875
147
+ ]
148
+ },
149
+ "8": {
150
+ "instance_id": 8,
151
+ "label": "robot arm_0",
152
+ "category": "robot arm",
153
+ "n_gaussians": 23310,
154
+ "center": [
155
+ 0.6725713014602661,
156
+ 0.0384836308658123,
157
+ 1.2533297538757324
158
+ ],
159
+ "bbox_min": [
160
+ -0.02587890625,
161
+ -0.369140625,
162
+ 1.1015625
163
+ ],
164
+ "bbox_max": [
165
+ 1.235107421875,
166
+ 0.607177734375,
167
+ 1.484619140625
168
+ ]
169
+ },
170
+ "9": {
171
+ "instance_id": 9,
172
+ "label": "sink_0",
173
+ "category": "sink",
174
+ "n_gaussians": 41272,
175
+ "center": [
176
+ 1.0210407972335815,
177
+ 0.7464795112609863,
178
+ 0.7440712451934814
179
+ ],
180
+ "bbox_min": [
181
+ 0.575439453125,
182
+ 0.56396484375,
183
+ 0.1748046875
184
+ ],
185
+ "bbox_max": [
186
+ 1.374755859375,
187
+ 0.996826171875,
188
+ 1.123779296875
189
+ ]
190
+ },
191
+ "10": {
192
+ "instance_id": 10,
193
+ "label": "toaster_0",
194
+ "category": "toaster",
195
+ "n_gaussians": 93398,
196
+ "center": [
197
+ -0.06521646678447723,
198
+ 0.32080256938934326,
199
+ 0.9047540426254272
200
+ ],
201
+ "bbox_min": [
202
+ -0.49462890625,
203
+ 0.200927734375,
204
+ 0.795654296875
205
+ ],
206
+ "bbox_max": [
207
+ 0.31201171875,
208
+ 0.6083984375,
209
+ 1.457275390625
210
+ ]
211
+ },
212
+ "11": {
213
+ "instance_id": 11,
214
+ "label": "vase_0",
215
+ "category": "vase",
216
+ "n_gaussians": 7860,
217
+ "center": [
218
+ 1.0219669342041016,
219
+ 0.330748587846756,
220
+ -0.6025437712669373
221
+ ],
222
+ "bbox_min": [
223
+ 0.89599609375,
224
+ 0.040283203125,
225
+ -0.856689453125
226
+ ],
227
+ "bbox_max": [
228
+ 1.349609375,
229
+ 0.578369140625,
230
+ -0.4716796875
231
+ ]
232
+ },
233
+ "16": {
234
+ "instance_id": 16,
235
+ "label": "toaster_1",
236
+ "category": "toaster",
237
+ "n_gaussians": 3756,
238
+ "center": [
239
+ 1.0853866338729858,
240
+ 0.6418076753616333,
241
+ 0.21334360539913177
242
+ ],
243
+ "bbox_min": [
244
+ 0.70458984375,
245
+ 0.57275390625,
246
+ 0.135009765625
247
+ ],
248
+ "bbox_max": [
249
+ 1.36962890625,
250
+ 1.150146484375,
251
+ 0.341552734375
252
+ ]
253
+ }
254
+ }
0256_txt_180b14113617/meta/segmentation/object_lists.json ADDED
@@ -0,0 +1,160 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "caption_objects": [
3
+ "countertop",
4
+ "edge",
5
+ "toaster",
6
+ "label",
7
+ "robotic arm",
8
+ "joint",
9
+ "gripper",
10
+ "basket",
11
+ "slice",
12
+ "toast",
13
+ "milk carton",
14
+ "text",
15
+ "cap",
16
+ "drinking glass",
17
+ "electrical outlet",
18
+ "backsplash",
19
+ "sink basin",
20
+ "strainer",
21
+ "drain",
22
+ "tile"
23
+ ],
24
+ "view_objects": [
25
+ [
26
+ "electrical outlet",
27
+ "milk carton",
28
+ "basket",
29
+ "bread roll",
30
+ "toaster",
31
+ "robot arm",
32
+ "gripper",
33
+ "sink"
34
+ ],
35
+ [
36
+ "basket",
37
+ "bread slice",
38
+ "milk carton",
39
+ "electrical outlet",
40
+ "toaster",
41
+ "robotic arm",
42
+ "gripper"
43
+ ],
44
+ [
45
+ "cabinet",
46
+ "basket",
47
+ "toast",
48
+ "milk carton",
49
+ "toaster",
50
+ "electrical outlet"
51
+ ],
52
+ [
53
+ "stovetop",
54
+ "countertop",
55
+ "basket",
56
+ "bread"
57
+ ],
58
+ [
59
+ "countertop",
60
+ "backsplash",
61
+ "cabinet",
62
+ "drawer",
63
+ "window frame",
64
+ "outlet"
65
+ ],
66
+ [
67
+ "countertop",
68
+ "cooktop",
69
+ "cabinet",
70
+ "window frame",
71
+ "outlet"
72
+ ],
73
+ [
74
+ "faucet",
75
+ "plant",
76
+ "pot",
77
+ "cabinet"
78
+ ],
79
+ [
80
+ "faucet",
81
+ "vase",
82
+ "glass",
83
+ "plant",
84
+ "pot"
85
+ ],
86
+ [
87
+ "vase",
88
+ "glass",
89
+ "plant",
90
+ "bowl",
91
+ "shower head",
92
+ "sink"
93
+ ],
94
+ [
95
+ "sink",
96
+ "drain",
97
+ "vase",
98
+ "glass",
99
+ "plant"
100
+ ],
101
+ [
102
+ "sink",
103
+ "faucet",
104
+ "drain",
105
+ "phone"
106
+ ],
107
+ [
108
+ "robot arm",
109
+ "gripper",
110
+ "toaster",
111
+ "button",
112
+ "lever",
113
+ "sink",
114
+ "drain"
115
+ ]
116
+ ],
117
+ "merged_objects": [
118
+ "backsplash",
119
+ "basket",
120
+ "bowl",
121
+ "bread",
122
+ "bread roll",
123
+ "bread slice",
124
+ "button",
125
+ "cabinet",
126
+ "cap",
127
+ "cooktop",
128
+ "countertop",
129
+ "drain",
130
+ "drawer",
131
+ "drinking glass",
132
+ "edge",
133
+ "electrical outlet",
134
+ "faucet",
135
+ "glass",
136
+ "gripper",
137
+ "joint",
138
+ "label",
139
+ "lever",
140
+ "milk carton",
141
+ "outlet",
142
+ "phone",
143
+ "plant",
144
+ "pot",
145
+ "robot arm",
146
+ "robotic arm",
147
+ "shower head",
148
+ "sink",
149
+ "sink basin",
150
+ "slice",
151
+ "stovetop",
152
+ "strainer",
153
+ "text",
154
+ "tile",
155
+ "toast",
156
+ "toaster",
157
+ "vase",
158
+ "window frame"
159
+ ]
160
+ }
0256_txt_180b14113617/meta/segmentation/postprocess.done ADDED
File without changes
0256_txt_180b14113617/meta/segmentation/scene.json ADDED
@@ -0,0 +1,332 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "scene_id": "dade6d7d-d85",
3
+ "source": "marble_3d_labeling",
4
+ "objects": [
5
+ {
6
+ "id": "bowl_0",
7
+ "label": "bowl",
8
+ "type": "bowl",
9
+ "x": 0.9309447407722473,
10
+ "y": 0.4089795649051666,
11
+ "z": 0.291015625,
12
+ "rotation_z": 0.0,
13
+ "width": 0.537109375,
14
+ "length": 0.56982421875,
15
+ "height": 0.299560546875,
16
+ "n_gaussians": 4231
17
+ },
18
+ {
19
+ "id": "bread_0",
20
+ "label": "bread",
21
+ "type": "bread",
22
+ "x": -0.8334783315658569,
23
+ "y": 0.4536176025867462,
24
+ "z": 0.373291015625,
25
+ "rotation_z": 0.0,
26
+ "width": 0.72900390625,
27
+ "length": 0.87890625,
28
+ "height": 0.239990234375,
29
+ "n_gaussians": 18421
30
+ },
31
+ {
32
+ "id": "faucet_0",
33
+ "label": "faucet",
34
+ "type": "faucet",
35
+ "x": 0.8229077458381653,
36
+ "y": -0.1655583381652832,
37
+ "z": -0.5361328125,
38
+ "rotation_z": 0.0,
39
+ "width": 0.61328125,
40
+ "length": 3.068359375,
41
+ "height": 1.136474609375,
42
+ "n_gaussians": 4002
43
+ },
44
+ {
45
+ "id": "glass_0",
46
+ "label": "glass",
47
+ "type": "glass",
48
+ "x": 1.0421040058135986,
49
+ "y": 0.2736871838569641,
50
+ "z": -0.000244140625,
51
+ "rotation_z": 0.0,
52
+ "width": 0.27001953125,
53
+ "length": 0.3359375,
54
+ "height": 0.583984375,
55
+ "n_gaussians": 4455
56
+ },
57
+ {
58
+ "id": "milk carton_0",
59
+ "label": "milk carton",
60
+ "type": "milk carton",
61
+ "x": -0.7582936882972717,
62
+ "y": 0.30785244703292847,
63
+ "z": 0.12255859375,
64
+ "rotation_z": 0.0,
65
+ "width": 0.463134765625,
66
+ "length": 0.443603515625,
67
+ "height": 0.4814453125,
68
+ "n_gaussians": 10903
69
+ },
70
+ {
71
+ "id": "outlet_0",
72
+ "label": "outlet",
73
+ "type": "outlet",
74
+ "x": -0.891569972038269,
75
+ "y": -0.12845481932163239,
76
+ "z": -0.232421875,
77
+ "rotation_z": 0.0,
78
+ "width": 0.49169921875,
79
+ "length": 0.07958984375,
80
+ "height": 0.201416015625,
81
+ "n_gaussians": 6400
82
+ },
83
+ {
84
+ "id": "plant_0",
85
+ "label": "plant",
86
+ "type": "plant",
87
+ "x": 0.9972672462463379,
88
+ "y": 0.1873745322227478,
89
+ "z": 0.002685546875,
90
+ "rotation_z": 0.0,
91
+ "width": 0.588623046875,
92
+ "length": 0.59619140625,
93
+ "height": 0.341796875,
94
+ "n_gaussians": 5534
95
+ },
96
+ {
97
+ "id": "robot arm_0",
98
+ "label": "robot arm",
99
+ "type": "robot arm",
100
+ "x": 0.6725713014602661,
101
+ "y": 0.0384836308658123,
102
+ "z": -0.369140625,
103
+ "rotation_z": 0.0,
104
+ "width": 1.260986328125,
105
+ "length": 0.383056640625,
106
+ "height": 0.976318359375,
107
+ "n_gaussians": 23310
108
+ },
109
+ {
110
+ "id": "sink_0",
111
+ "label": "sink",
112
+ "type": "sink",
113
+ "x": 1.0210407972335815,
114
+ "y": 0.7464795112609863,
115
+ "z": 0.56396484375,
116
+ "rotation_z": 0.0,
117
+ "width": 0.79931640625,
118
+ "length": 0.948974609375,
119
+ "height": 0.432861328125,
120
+ "n_gaussians": 41272
121
+ },
122
+ {
123
+ "id": "toaster_0",
124
+ "label": "toaster",
125
+ "type": "toaster",
126
+ "x": -0.06521646678447723,
127
+ "y": 0.32080256938934326,
128
+ "z": 0.200927734375,
129
+ "rotation_z": 0.0,
130
+ "width": 0.806640625,
131
+ "length": 0.66162109375,
132
+ "height": 0.407470703125,
133
+ "n_gaussians": 93398
134
+ },
135
+ {
136
+ "id": "vase_0",
137
+ "label": "vase",
138
+ "type": "vase",
139
+ "x": 1.0219669342041016,
140
+ "y": 0.330748587846756,
141
+ "z": 0.040283203125,
142
+ "rotation_z": 0.0,
143
+ "width": 0.45361328125,
144
+ "length": 0.385009765625,
145
+ "height": 0.5380859375,
146
+ "n_gaussians": 7860
147
+ },
148
+ {
149
+ "id": "toaster_1",
150
+ "label": "toaster",
151
+ "type": "toaster",
152
+ "x": 1.0853866338729858,
153
+ "y": 0.6418076753616333,
154
+ "z": 0.57275390625,
155
+ "rotation_z": 0.0,
156
+ "width": 0.6650390625,
157
+ "length": 0.20654296875,
158
+ "height": 0.577392578125,
159
+ "n_gaussians": 3756
160
+ }
161
+ ],
162
+ "cameras": [
163
+ {
164
+ "name": "view_000",
165
+ "position": [
166
+ 0.0,
167
+ 0.0,
168
+ 0.0
169
+ ],
170
+ "look_at": [
171
+ 0.0,
172
+ -2.5881905555725098,
173
+ -9.659257888793945
174
+ ],
175
+ "horizontal_fov_deg": 82.0
176
+ },
177
+ {
178
+ "name": "view_001",
179
+ "position": [
180
+ 0.0,
181
+ 0.0,
182
+ 0.0
183
+ ],
184
+ "look_at": [
185
+ 4.829628944396973,
186
+ -2.5881905555725098,
187
+ -8.36516284942627
188
+ ],
189
+ "horizontal_fov_deg": 82.0
190
+ },
191
+ {
192
+ "name": "view_002",
193
+ "position": [
194
+ 0.0,
195
+ 0.0,
196
+ 0.0
197
+ ],
198
+ "look_at": [
199
+ 8.36516284942627,
200
+ -2.5881905555725098,
201
+ -4.829628944396973
202
+ ],
203
+ "horizontal_fov_deg": 82.0
204
+ },
205
+ {
206
+ "name": "view_003",
207
+ "position": [
208
+ 0.0,
209
+ 0.0,
210
+ 0.0
211
+ ],
212
+ "look_at": [
213
+ 9.659257888793945,
214
+ -2.5881905555725098,
215
+ -5.914589666286812e-16
216
+ ],
217
+ "horizontal_fov_deg": 82.0
218
+ },
219
+ {
220
+ "name": "view_004",
221
+ "position": [
222
+ 0.0,
223
+ 0.0,
224
+ 0.0
225
+ ],
226
+ "look_at": [
227
+ 8.36516284942627,
228
+ -2.5881905555725098,
229
+ 4.829628944396973
230
+ ],
231
+ "horizontal_fov_deg": 82.0
232
+ },
233
+ {
234
+ "name": "view_005",
235
+ "position": [
236
+ 0.0,
237
+ 0.0,
238
+ 0.0
239
+ ],
240
+ "look_at": [
241
+ 4.829628944396973,
242
+ -2.5881905555725098,
243
+ 8.36516284942627
244
+ ],
245
+ "horizontal_fov_deg": 82.0
246
+ },
247
+ {
248
+ "name": "view_006",
249
+ "position": [
250
+ 0.0,
251
+ 0.0,
252
+ 0.0
253
+ ],
254
+ "look_at": [
255
+ 1.1829179332573624e-15,
256
+ -2.5881905555725098,
257
+ 9.659257888793945
258
+ ],
259
+ "horizontal_fov_deg": 82.0
260
+ },
261
+ {
262
+ "name": "view_007",
263
+ "position": [
264
+ 0.0,
265
+ 0.0,
266
+ 0.0
267
+ ],
268
+ "look_at": [
269
+ -4.829628944396973,
270
+ -2.5881905555725098,
271
+ 8.36516284942627
272
+ ],
273
+ "horizontal_fov_deg": 82.0
274
+ },
275
+ {
276
+ "name": "view_008",
277
+ "position": [
278
+ 0.0,
279
+ 0.0,
280
+ 0.0
281
+ ],
282
+ "look_at": [
283
+ -8.36516284942627,
284
+ -2.5881905555725098,
285
+ 4.829628944396973
286
+ ],
287
+ "horizontal_fov_deg": 82.0
288
+ },
289
+ {
290
+ "name": "view_009",
291
+ "position": [
292
+ 0.0,
293
+ 0.0,
294
+ 0.0
295
+ ],
296
+ "look_at": [
297
+ -9.659257888793945,
298
+ -2.5881905555725098,
299
+ 1.774377005765162e-15
300
+ ],
301
+ "horizontal_fov_deg": 82.0
302
+ },
303
+ {
304
+ "name": "view_010",
305
+ "position": [
306
+ 0.0,
307
+ 0.0,
308
+ 0.0
309
+ ],
310
+ "look_at": [
311
+ -8.36516284942627,
312
+ -2.5881905555725098,
313
+ -4.829628944396973
314
+ ],
315
+ "horizontal_fov_deg": 82.0
316
+ },
317
+ {
318
+ "name": "view_011",
319
+ "position": [
320
+ 0.0,
321
+ 0.0,
322
+ 0.0
323
+ ],
324
+ "look_at": [
325
+ -4.829628944396973,
326
+ -2.5881905555725098,
327
+ -8.36516284942627
328
+ ],
329
+ "horizontal_fov_deg": 82.0
330
+ }
331
+ ]
332
+ }
0256_txt_180b14113617/meta/segmentation/views/cameras.json ADDED
@@ -0,0 +1,614 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "name": "view_000",
4
+ "index": 0,
5
+ "azimuth_deg": 0.0,
6
+ "elevation_deg": -15.0,
7
+ "position": [
8
+ 0.0,
9
+ 0.0,
10
+ 0.0
11
+ ],
12
+ "look_at": [
13
+ 0.0,
14
+ -2.5881905555725098,
15
+ -9.659257888793945
16
+ ],
17
+ "c2w": [
18
+ [
19
+ 1.0,
20
+ 0.0,
21
+ -0.0,
22
+ 0.0
23
+ ],
24
+ [
25
+ -0.0,
26
+ 0.9659258127212524,
27
+ 0.258819043636322,
28
+ 0.0
29
+ ],
30
+ [
31
+ 0.0,
32
+ -0.258819043636322,
33
+ 0.9659258127212524,
34
+ 0.0
35
+ ],
36
+ [
37
+ 0.0,
38
+ 0.0,
39
+ 0.0,
40
+ 1.0
41
+ ]
42
+ ],
43
+ "fx": 745.4387278792142,
44
+ "fy": 745.4387278792142,
45
+ "cx": 648.0,
46
+ "cy": 484.0,
47
+ "width": 1296,
48
+ "height": 968,
49
+ "horizontal_fov_deg": 82.0,
50
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_000.png",
51
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_000_depth.npy"
52
+ },
53
+ {
54
+ "name": "view_001",
55
+ "index": 1,
56
+ "azimuth_deg": 30.0,
57
+ "elevation_deg": -15.0,
58
+ "position": [
59
+ 0.0,
60
+ 0.0,
61
+ 0.0
62
+ ],
63
+ "look_at": [
64
+ 4.829628944396973,
65
+ -2.5881905555725098,
66
+ -8.36516284942627
67
+ ],
68
+ "c2w": [
69
+ [
70
+ 0.8660253882408142,
71
+ 0.129409521818161,
72
+ -0.4829629063606262,
73
+ 0.0
74
+ ],
75
+ [
76
+ -0.0,
77
+ 0.9659258127212524,
78
+ 0.258819043636322,
79
+ 0.0
80
+ ],
81
+ [
82
+ 0.5,
83
+ -0.2241438627243042,
84
+ 0.836516261100769,
85
+ 0.0
86
+ ],
87
+ [
88
+ 0.0,
89
+ 0.0,
90
+ 0.0,
91
+ 1.0
92
+ ]
93
+ ],
94
+ "fx": 745.4387278792142,
95
+ "fy": 745.4387278792142,
96
+ "cx": 648.0,
97
+ "cy": 484.0,
98
+ "width": 1296,
99
+ "height": 968,
100
+ "horizontal_fov_deg": 82.0,
101
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_001.png",
102
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_001_depth.npy"
103
+ },
104
+ {
105
+ "name": "view_002",
106
+ "index": 2,
107
+ "azimuth_deg": 60.0,
108
+ "elevation_deg": -15.0,
109
+ "position": [
110
+ 0.0,
111
+ 0.0,
112
+ 0.0
113
+ ],
114
+ "look_at": [
115
+ 8.36516284942627,
116
+ -2.5881905555725098,
117
+ -4.829628944396973
118
+ ],
119
+ "c2w": [
120
+ [
121
+ 0.5,
122
+ 0.2241438627243042,
123
+ -0.836516261100769,
124
+ 0.0
125
+ ],
126
+ [
127
+ -0.0,
128
+ 0.9659258127212524,
129
+ 0.258819043636322,
130
+ 0.0
131
+ ],
132
+ [
133
+ 0.8660253882408142,
134
+ -0.129409521818161,
135
+ 0.4829629063606262,
136
+ 0.0
137
+ ],
138
+ [
139
+ 0.0,
140
+ 0.0,
141
+ 0.0,
142
+ 1.0
143
+ ]
144
+ ],
145
+ "fx": 745.4387278792142,
146
+ "fy": 745.4387278792142,
147
+ "cx": 648.0,
148
+ "cy": 484.0,
149
+ "width": 1296,
150
+ "height": 968,
151
+ "horizontal_fov_deg": 82.0,
152
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_002.png",
153
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_002_depth.npy"
154
+ },
155
+ {
156
+ "name": "view_003",
157
+ "index": 3,
158
+ "azimuth_deg": 90.0,
159
+ "elevation_deg": -15.0,
160
+ "position": [
161
+ 0.0,
162
+ 0.0,
163
+ 0.0
164
+ ],
165
+ "look_at": [
166
+ 9.659257888793945,
167
+ -2.5881905555725098,
168
+ -5.914589666286812e-16
169
+ ],
170
+ "c2w": [
171
+ [
172
+ 6.123233601181349e-17,
173
+ 0.258819043636322,
174
+ -0.9659258127212524,
175
+ 0.0
176
+ ],
177
+ [
178
+ -0.0,
179
+ 0.9659258127212524,
180
+ 0.258819043636322,
181
+ 0.0
182
+ ],
183
+ [
184
+ 1.0,
185
+ -1.584809397660759e-17,
186
+ 5.914589533937914e-17,
187
+ 0.0
188
+ ],
189
+ [
190
+ 0.0,
191
+ 0.0,
192
+ 0.0,
193
+ 1.0
194
+ ]
195
+ ],
196
+ "fx": 745.4387278792142,
197
+ "fy": 745.4387278792142,
198
+ "cx": 648.0,
199
+ "cy": 484.0,
200
+ "width": 1296,
201
+ "height": 968,
202
+ "horizontal_fov_deg": 82.0,
203
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_003.png",
204
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_003_depth.npy"
205
+ },
206
+ {
207
+ "name": "view_004",
208
+ "index": 4,
209
+ "azimuth_deg": 120.0,
210
+ "elevation_deg": -15.0,
211
+ "position": [
212
+ 0.0,
213
+ 0.0,
214
+ 0.0
215
+ ],
216
+ "look_at": [
217
+ 8.36516284942627,
218
+ -2.5881905555725098,
219
+ 4.829628944396973
220
+ ],
221
+ "c2w": [
222
+ [
223
+ -0.5,
224
+ 0.2241438627243042,
225
+ -0.836516261100769,
226
+ 0.0
227
+ ],
228
+ [
229
+ 0.0,
230
+ 0.9659258127212524,
231
+ 0.258819043636322,
232
+ 0.0
233
+ ],
234
+ [
235
+ 0.8660253882408142,
236
+ 0.129409521818161,
237
+ -0.4829629063606262,
238
+ 0.0
239
+ ],
240
+ [
241
+ 0.0,
242
+ 0.0,
243
+ 0.0,
244
+ 1.0
245
+ ]
246
+ ],
247
+ "fx": 745.4387278792142,
248
+ "fy": 745.4387278792142,
249
+ "cx": 648.0,
250
+ "cy": 484.0,
251
+ "width": 1296,
252
+ "height": 968,
253
+ "horizontal_fov_deg": 82.0,
254
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_004.png",
255
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_004_depth.npy"
256
+ },
257
+ {
258
+ "name": "view_005",
259
+ "index": 5,
260
+ "azimuth_deg": 150.0,
261
+ "elevation_deg": -15.0,
262
+ "position": [
263
+ 0.0,
264
+ 0.0,
265
+ 0.0
266
+ ],
267
+ "look_at": [
268
+ 4.829628944396973,
269
+ -2.5881905555725098,
270
+ 8.36516284942627
271
+ ],
272
+ "c2w": [
273
+ [
274
+ -0.8660253882408142,
275
+ 0.129409521818161,
276
+ -0.4829629063606262,
277
+ 0.0
278
+ ],
279
+ [
280
+ 0.0,
281
+ 0.9659258127212524,
282
+ 0.258819043636322,
283
+ 0.0
284
+ ],
285
+ [
286
+ 0.5,
287
+ 0.2241438627243042,
288
+ -0.836516261100769,
289
+ 0.0
290
+ ],
291
+ [
292
+ 0.0,
293
+ 0.0,
294
+ 0.0,
295
+ 1.0
296
+ ]
297
+ ],
298
+ "fx": 745.4387278792142,
299
+ "fy": 745.4387278792142,
300
+ "cx": 648.0,
301
+ "cy": 484.0,
302
+ "width": 1296,
303
+ "height": 968,
304
+ "horizontal_fov_deg": 82.0,
305
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_005.png",
306
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_005_depth.npy"
307
+ },
308
+ {
309
+ "name": "view_006",
310
+ "index": 6,
311
+ "azimuth_deg": 180.0,
312
+ "elevation_deg": -15.0,
313
+ "position": [
314
+ 0.0,
315
+ 0.0,
316
+ 0.0
317
+ ],
318
+ "look_at": [
319
+ 1.1829179332573624e-15,
320
+ -2.5881905555725098,
321
+ 9.659257888793945
322
+ ],
323
+ "c2w": [
324
+ [
325
+ -1.0,
326
+ 3.169618795321518e-17,
327
+ -1.1829179067875828e-16,
328
+ 0.0
329
+ ],
330
+ [
331
+ 0.0,
332
+ 0.9659258127212524,
333
+ 0.258819043636322,
334
+ 0.0
335
+ ],
336
+ [
337
+ 1.2246467202362698e-16,
338
+ 0.258819043636322,
339
+ -0.9659258127212524,
340
+ 0.0
341
+ ],
342
+ [
343
+ 0.0,
344
+ 0.0,
345
+ 0.0,
346
+ 1.0
347
+ ]
348
+ ],
349
+ "fx": 745.4387278792142,
350
+ "fy": 745.4387278792142,
351
+ "cx": 648.0,
352
+ "cy": 484.0,
353
+ "width": 1296,
354
+ "height": 968,
355
+ "horizontal_fov_deg": 82.0,
356
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_006.png",
357
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_006_depth.npy"
358
+ },
359
+ {
360
+ "name": "view_007",
361
+ "index": 7,
362
+ "azimuth_deg": 210.0,
363
+ "elevation_deg": -15.0,
364
+ "position": [
365
+ 0.0,
366
+ 0.0,
367
+ 0.0
368
+ ],
369
+ "look_at": [
370
+ -4.829628944396973,
371
+ -2.5881905555725098,
372
+ 8.36516284942627
373
+ ],
374
+ "c2w": [
375
+ [
376
+ -0.8660253882408142,
377
+ -0.129409521818161,
378
+ 0.4829629063606262,
379
+ 0.0
380
+ ],
381
+ [
382
+ 0.0,
383
+ 0.9659258127212524,
384
+ 0.258819043636322,
385
+ 0.0
386
+ ],
387
+ [
388
+ -0.5,
389
+ 0.2241438627243042,
390
+ -0.836516261100769,
391
+ 0.0
392
+ ],
393
+ [
394
+ 0.0,
395
+ 0.0,
396
+ 0.0,
397
+ 1.0
398
+ ]
399
+ ],
400
+ "fx": 745.4387278792142,
401
+ "fy": 745.4387278792142,
402
+ "cx": 648.0,
403
+ "cy": 484.0,
404
+ "width": 1296,
405
+ "height": 968,
406
+ "horizontal_fov_deg": 82.0,
407
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_007.png",
408
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_007_depth.npy"
409
+ },
410
+ {
411
+ "name": "view_008",
412
+ "index": 8,
413
+ "azimuth_deg": 240.0,
414
+ "elevation_deg": -15.0,
415
+ "position": [
416
+ 0.0,
417
+ 0.0,
418
+ 0.0
419
+ ],
420
+ "look_at": [
421
+ -8.36516284942627,
422
+ -2.5881905555725098,
423
+ 4.829628944396973
424
+ ],
425
+ "c2w": [
426
+ [
427
+ -0.5,
428
+ -0.2241438627243042,
429
+ 0.836516261100769,
430
+ 0.0
431
+ ],
432
+ [
433
+ 0.0,
434
+ 0.9659258127212524,
435
+ 0.258819043636322,
436
+ 0.0
437
+ ],
438
+ [
439
+ -0.8660253882408142,
440
+ 0.129409521818161,
441
+ -0.4829629063606262,
442
+ 0.0
443
+ ],
444
+ [
445
+ 0.0,
446
+ 0.0,
447
+ 0.0,
448
+ 1.0
449
+ ]
450
+ ],
451
+ "fx": 745.4387278792142,
452
+ "fy": 745.4387278792142,
453
+ "cx": 648.0,
454
+ "cy": 484.0,
455
+ "width": 1296,
456
+ "height": 968,
457
+ "horizontal_fov_deg": 82.0,
458
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_008.png",
459
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_008_depth.npy"
460
+ },
461
+ {
462
+ "name": "view_009",
463
+ "index": 9,
464
+ "azimuth_deg": 270.0,
465
+ "elevation_deg": -15.0,
466
+ "position": [
467
+ 0.0,
468
+ 0.0,
469
+ 0.0
470
+ ],
471
+ "look_at": [
472
+ -9.659257888793945,
473
+ -2.5881905555725098,
474
+ 1.774377005765162e-15
475
+ ],
476
+ "c2w": [
477
+ [
478
+ -1.8369702788777518e-16,
479
+ -0.258819043636322,
480
+ 0.9659258127212524,
481
+ 0.0
482
+ ],
483
+ [
484
+ 0.0,
485
+ 0.9659258127212524,
486
+ 0.258819043636322,
487
+ 0.0
488
+ ],
489
+ [
490
+ -1.0,
491
+ 4.75442902016289e-17,
492
+ -1.7743770587047211e-16,
493
+ 0.0
494
+ ],
495
+ [
496
+ 0.0,
497
+ 0.0,
498
+ 0.0,
499
+ 1.0
500
+ ]
501
+ ],
502
+ "fx": 745.4387278792142,
503
+ "fy": 745.4387278792142,
504
+ "cx": 648.0,
505
+ "cy": 484.0,
506
+ "width": 1296,
507
+ "height": 968,
508
+ "horizontal_fov_deg": 82.0,
509
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_009.png",
510
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_009_depth.npy"
511
+ },
512
+ {
513
+ "name": "view_010",
514
+ "index": 10,
515
+ "azimuth_deg": 300.0,
516
+ "elevation_deg": -15.0,
517
+ "position": [
518
+ 0.0,
519
+ 0.0,
520
+ 0.0
521
+ ],
522
+ "look_at": [
523
+ -8.36516284942627,
524
+ -2.5881905555725098,
525
+ -4.829628944396973
526
+ ],
527
+ "c2w": [
528
+ [
529
+ 0.5,
530
+ -0.2241438627243042,
531
+ 0.836516261100769,
532
+ 0.0
533
+ ],
534
+ [
535
+ 0.0,
536
+ 0.9659258127212524,
537
+ 0.258819043636322,
538
+ 0.0
539
+ ],
540
+ [
541
+ -0.8660253882408142,
542
+ -0.129409521818161,
543
+ 0.4829629063606262,
544
+ 0.0
545
+ ],
546
+ [
547
+ 0.0,
548
+ 0.0,
549
+ 0.0,
550
+ 1.0
551
+ ]
552
+ ],
553
+ "fx": 745.4387278792142,
554
+ "fy": 745.4387278792142,
555
+ "cx": 648.0,
556
+ "cy": 484.0,
557
+ "width": 1296,
558
+ "height": 968,
559
+ "horizontal_fov_deg": 82.0,
560
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_010.png",
561
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_010_depth.npy"
562
+ },
563
+ {
564
+ "name": "view_011",
565
+ "index": 11,
566
+ "azimuth_deg": 330.0,
567
+ "elevation_deg": -15.0,
568
+ "position": [
569
+ 0.0,
570
+ 0.0,
571
+ 0.0
572
+ ],
573
+ "look_at": [
574
+ -4.829628944396973,
575
+ -2.5881905555725098,
576
+ -8.36516284942627
577
+ ],
578
+ "c2w": [
579
+ [
580
+ 0.8660253882408142,
581
+ -0.129409521818161,
582
+ 0.4829629063606262,
583
+ 0.0
584
+ ],
585
+ [
586
+ 0.0,
587
+ 0.9659258127212524,
588
+ 0.258819043636322,
589
+ 0.0
590
+ ],
591
+ [
592
+ -0.5,
593
+ -0.2241438627243042,
594
+ 0.836516261100769,
595
+ 0.0
596
+ ],
597
+ [
598
+ 0.0,
599
+ 0.0,
600
+ 0.0,
601
+ 1.0
602
+ ]
603
+ ],
604
+ "fx": 745.4387278792142,
605
+ "fy": 745.4387278792142,
606
+ "cx": 648.0,
607
+ "cy": 484.0,
608
+ "width": 1296,
609
+ "height": 968,
610
+ "horizontal_fov_deg": 82.0,
611
+ "rgb_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_011.png",
612
+ "depth_path": "/opt/dlami/nvme/output_batch/0256_txt_180b14113617/meta/segmentation/views/view_011_depth.npy"
613
+ }
614
+ ]
0256_txt_180b14113617/meta/visibility.json ADDED
@@ -0,0 +1,792 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rand_000": [
3
+ "bowl_0",
4
+ "glass_0",
5
+ "plant_0",
6
+ "vase_0"
7
+ ],
8
+ "rand_001": [
9
+ "bowl_0",
10
+ "glass_0",
11
+ "plant_0",
12
+ "vase_0",
13
+ "toaster_1"
14
+ ],
15
+ "rand_002": [
16
+ "bowl_0",
17
+ "glass_0",
18
+ "plant_0",
19
+ "vase_0"
20
+ ],
21
+ "rand_003": [
22
+ "bowl_0",
23
+ "glass_0",
24
+ "plant_0",
25
+ "vase_0"
26
+ ],
27
+ "rand_004": [
28
+ "bowl_0",
29
+ "glass_0",
30
+ "plant_0",
31
+ "vase_0"
32
+ ],
33
+ "rand_005": [
34
+ "bowl_0",
35
+ "glass_0",
36
+ "plant_0",
37
+ "vase_0"
38
+ ],
39
+ "rand_006": [
40
+ "bowl_0",
41
+ "glass_0",
42
+ "sink_0",
43
+ "vase_0",
44
+ "toaster_1"
45
+ ],
46
+ "rand_007": [
47
+ "bowl_0",
48
+ "glass_0",
49
+ "plant_0",
50
+ "vase_0"
51
+ ],
52
+ "view_000_edge_left": [],
53
+ "view_000_edge_right": [],
54
+ "view_000": [
55
+ "milk carton_0",
56
+ "outlet_0",
57
+ "robot arm_0",
58
+ "toaster_0"
59
+ ],
60
+ "view_000_step_down": [
61
+ "milk carton_0",
62
+ "toaster_0"
63
+ ],
64
+ "view_000_step_forward": [
65
+ "bread_0",
66
+ "milk carton_0",
67
+ "outlet_0",
68
+ "robot arm_0",
69
+ "sink_0",
70
+ "toaster_0",
71
+ "toaster_1"
72
+ ],
73
+ "view_000_step_forward_yaw_left": [
74
+ "milk carton_0",
75
+ "robot arm_0",
76
+ "sink_0",
77
+ "toaster_0",
78
+ "toaster_1"
79
+ ],
80
+ "view_000_step_forward_yaw_right": [
81
+ "bread_0",
82
+ "milk carton_0",
83
+ "outlet_0",
84
+ "robot arm_0",
85
+ "toaster_0"
86
+ ],
87
+ "view_000_step_left": [
88
+ "robot arm_0",
89
+ "sink_0"
90
+ ],
91
+ "view_000_step_pitch_down": [
92
+ "milk carton_0",
93
+ "outlet_0",
94
+ "robot arm_0",
95
+ "toaster_0"
96
+ ],
97
+ "view_000_step_pitch_up": [
98
+ "milk carton_0",
99
+ "robot arm_0",
100
+ "toaster_0"
101
+ ],
102
+ "view_000_step_right": [
103
+ "bread_0",
104
+ "milk carton_0",
105
+ "outlet_0"
106
+ ],
107
+ "view_000_step_up": [
108
+ "milk carton_0",
109
+ "outlet_0",
110
+ "robot arm_0",
111
+ "toaster_0"
112
+ ],
113
+ "view_000_step_yaw_left": [
114
+ "robot arm_0",
115
+ "sink_0",
116
+ "toaster_0"
117
+ ],
118
+ "view_000_step_yaw_right": [
119
+ "bread_0",
120
+ "milk carton_0",
121
+ "outlet_0",
122
+ "toaster_0"
123
+ ],
124
+ "view_001_edge_left": [
125
+ "robot arm_0"
126
+ ],
127
+ "view_001_edge_right": [],
128
+ "view_001": [
129
+ "bread_0",
130
+ "milk carton_0",
131
+ "outlet_0",
132
+ "toaster_0"
133
+ ],
134
+ "view_001_step_down": [
135
+ "bread_0",
136
+ "milk carton_0",
137
+ "toaster_0"
138
+ ],
139
+ "view_001_step_forward": [
140
+ "bread_0",
141
+ "milk carton_0",
142
+ "outlet_0",
143
+ "robot arm_0",
144
+ "toaster_0"
145
+ ],
146
+ "view_001_step_forward_yaw_left": [
147
+ "bread_0",
148
+ "milk carton_0",
149
+ "outlet_0",
150
+ "robot arm_0",
151
+ "sink_0",
152
+ "toaster_0",
153
+ "toaster_1"
154
+ ],
155
+ "view_001_step_forward_yaw_right": [
156
+ "bread_0",
157
+ "milk carton_0",
158
+ "outlet_0",
159
+ "toaster_0"
160
+ ],
161
+ "view_001_step_left": [
162
+ "milk carton_0",
163
+ "outlet_0",
164
+ "robot arm_0",
165
+ "toaster_0"
166
+ ],
167
+ "view_001_step_pitch_down": [
168
+ "bread_0",
169
+ "milk carton_0",
170
+ "outlet_0",
171
+ "toaster_0"
172
+ ],
173
+ "view_001_step_pitch_up": [
174
+ "bread_0",
175
+ "milk carton_0",
176
+ "toaster_0"
177
+ ],
178
+ "view_001_step_right": [
179
+ "bread_0",
180
+ "milk carton_0",
181
+ "outlet_0"
182
+ ],
183
+ "view_001_step_up": [
184
+ "bread_0",
185
+ "milk carton_0",
186
+ "outlet_0",
187
+ "toaster_0"
188
+ ],
189
+ "view_001_step_yaw_left": [
190
+ "bread_0",
191
+ "milk carton_0",
192
+ "outlet_0",
193
+ "robot arm_0",
194
+ "toaster_0"
195
+ ],
196
+ "view_001_step_yaw_right": [
197
+ "bread_0",
198
+ "milk carton_0",
199
+ "outlet_0"
200
+ ],
201
+ "view_002_edge_left": [
202
+ "milk carton_0",
203
+ "outlet_0"
204
+ ],
205
+ "view_002_edge_right": [],
206
+ "view_002": [
207
+ "bread_0",
208
+ "milk carton_0",
209
+ "outlet_0"
210
+ ],
211
+ "view_002_step_down": [
212
+ "bread_0",
213
+ "milk carton_0"
214
+ ],
215
+ "view_002_step_forward": [
216
+ "bread_0",
217
+ "milk carton_0",
218
+ "outlet_0",
219
+ "toaster_0"
220
+ ],
221
+ "view_002_step_forward_yaw_left": [
222
+ "bread_0",
223
+ "milk carton_0",
224
+ "outlet_0",
225
+ "robot arm_0",
226
+ "toaster_0"
227
+ ],
228
+ "view_002_step_forward_yaw_right": [
229
+ "bread_0",
230
+ "milk carton_0",
231
+ "outlet_0"
232
+ ],
233
+ "view_002_step_left": [
234
+ "bread_0",
235
+ "milk carton_0",
236
+ "outlet_0",
237
+ "toaster_0"
238
+ ],
239
+ "view_002_step_pitch_down": [
240
+ "bread_0",
241
+ "milk carton_0",
242
+ "outlet_0"
243
+ ],
244
+ "view_002_step_pitch_up": [
245
+ "bread_0",
246
+ "milk carton_0"
247
+ ],
248
+ "view_002_step_right": [],
249
+ "view_002_step_up": [
250
+ "bread_0",
251
+ "milk carton_0",
252
+ "outlet_0"
253
+ ],
254
+ "view_002_step_yaw_left": [
255
+ "bread_0",
256
+ "milk carton_0",
257
+ "outlet_0",
258
+ "toaster_0"
259
+ ],
260
+ "view_002_step_yaw_right": [
261
+ "bread_0"
262
+ ],
263
+ "view_003_edge_left": [],
264
+ "view_003_edge_right": [],
265
+ "view_003": [
266
+ "bread_0"
267
+ ],
268
+ "view_003_step_down": [],
269
+ "view_003_step_forward": [
270
+ "bread_0",
271
+ "milk carton_0",
272
+ "outlet_0",
273
+ "toaster_0"
274
+ ],
275
+ "view_003_step_forward_yaw_left": [
276
+ "bread_0",
277
+ "milk carton_0",
278
+ "outlet_0",
279
+ "toaster_0"
280
+ ],
281
+ "view_003_step_forward_yaw_right": [],
282
+ "view_003_step_left": [
283
+ "bread_0",
284
+ "milk carton_0",
285
+ "outlet_0"
286
+ ],
287
+ "view_003_step_pitch_down": [],
288
+ "view_003_step_pitch_up": [
289
+ "bread_0"
290
+ ],
291
+ "view_003_step_right": [],
292
+ "view_003_step_up": [],
293
+ "view_003_step_yaw_left": [
294
+ "bread_0",
295
+ "milk carton_0",
296
+ "outlet_0"
297
+ ],
298
+ "view_003_step_yaw_right": [],
299
+ "view_004_edge_left": [],
300
+ "view_004_edge_right": [],
301
+ "view_004": [],
302
+ "view_004_step_down": [],
303
+ "view_004_step_forward": [
304
+ "bread_0"
305
+ ],
306
+ "view_004_step_forward_yaw_left": [
307
+ "bread_0",
308
+ "milk carton_0",
309
+ "toaster_0"
310
+ ],
311
+ "view_004_step_forward_yaw_right": [],
312
+ "view_004_step_left": [],
313
+ "view_004_step_pitch_down": [],
314
+ "view_004_step_pitch_up": [],
315
+ "view_004_step_right": [],
316
+ "view_004_step_up": [],
317
+ "view_004_step_yaw_left": [],
318
+ "view_004_step_yaw_right": [],
319
+ "view_005_edge_left": [],
320
+ "view_005_edge_right": [
321
+ "plant_0"
322
+ ],
323
+ "view_005": [],
324
+ "view_005_step_down": [],
325
+ "view_005_step_forward": [],
326
+ "view_005_step_forward_yaw_left": [
327
+ "bread_0",
328
+ "toaster_0"
329
+ ],
330
+ "view_005_step_forward_yaw_right": [
331
+ "bowl_0",
332
+ "glass_0",
333
+ "plant_0",
334
+ "vase_0"
335
+ ],
336
+ "view_005_step_left": [],
337
+ "view_005_step_pitch_down": [],
338
+ "view_005_step_pitch_up": [],
339
+ "view_005_step_right": [
340
+ "bowl_0",
341
+ "plant_0"
342
+ ],
343
+ "view_005_step_up": [],
344
+ "view_005_step_yaw_left": [],
345
+ "view_005_step_yaw_right": [],
346
+ "view_006_edge_left": [],
347
+ "view_006_edge_right": [
348
+ "vase_0"
349
+ ],
350
+ "view_006": [
351
+ "bowl_0",
352
+ "plant_0"
353
+ ],
354
+ "view_006_step_down": [],
355
+ "view_006_step_forward": [
356
+ "bowl_0",
357
+ "glass_0",
358
+ "plant_0",
359
+ "vase_0"
360
+ ],
361
+ "view_006_step_forward_yaw_left": [],
362
+ "view_006_step_forward_yaw_right": [
363
+ "bowl_0",
364
+ "glass_0",
365
+ "plant_0",
366
+ "vase_0",
367
+ "toaster_1"
368
+ ],
369
+ "view_006_step_left": [],
370
+ "view_006_step_pitch_down": [
371
+ "plant_0"
372
+ ],
373
+ "view_006_step_pitch_up": [
374
+ "bowl_0"
375
+ ],
376
+ "view_006_step_right": [
377
+ "bowl_0",
378
+ "glass_0",
379
+ "plant_0",
380
+ "vase_0"
381
+ ],
382
+ "view_006_step_up": [
383
+ "bowl_0",
384
+ "plant_0"
385
+ ],
386
+ "view_006_step_yaw_left": [],
387
+ "view_006_step_yaw_right": [
388
+ "bowl_0",
389
+ "glass_0",
390
+ "plant_0",
391
+ "vase_0"
392
+ ],
393
+ "view_007_edge_left": [],
394
+ "view_007_edge_right": [
395
+ "bowl_0",
396
+ "glass_0",
397
+ "plant_0",
398
+ "vase_0"
399
+ ],
400
+ "view_007": [
401
+ "bowl_0",
402
+ "glass_0",
403
+ "plant_0",
404
+ "vase_0"
405
+ ],
406
+ "view_007_step_down": [
407
+ "bowl_0",
408
+ "glass_0",
409
+ "plant_0",
410
+ "vase_0"
411
+ ],
412
+ "view_007_step_forward": [
413
+ "bowl_0",
414
+ "glass_0",
415
+ "plant_0",
416
+ "vase_0",
417
+ "toaster_1"
418
+ ],
419
+ "view_007_step_forward_yaw_left": [
420
+ "bowl_0",
421
+ "glass_0",
422
+ "plant_0",
423
+ "vase_0"
424
+ ],
425
+ "view_007_step_forward_yaw_right": [
426
+ "bowl_0",
427
+ "glass_0",
428
+ "plant_0",
429
+ "sink_0",
430
+ "toaster_0",
431
+ "vase_0",
432
+ "toaster_1"
433
+ ],
434
+ "view_007_step_left": [
435
+ "bowl_0",
436
+ "plant_0"
437
+ ],
438
+ "view_007_step_pitch_down": [
439
+ "bowl_0",
440
+ "glass_0",
441
+ "plant_0",
442
+ "vase_0"
443
+ ],
444
+ "view_007_step_pitch_up": [
445
+ "bowl_0",
446
+ "glass_0",
447
+ "plant_0",
448
+ "vase_0"
449
+ ],
450
+ "view_007_step_right": [
451
+ "bowl_0",
452
+ "glass_0",
453
+ "plant_0",
454
+ "vase_0"
455
+ ],
456
+ "view_007_step_up": [
457
+ "bowl_0",
458
+ "glass_0",
459
+ "plant_0",
460
+ "vase_0"
461
+ ],
462
+ "view_007_step_yaw_left": [
463
+ "bowl_0",
464
+ "plant_0"
465
+ ],
466
+ "view_007_step_yaw_right": [
467
+ "bowl_0",
468
+ "glass_0",
469
+ "plant_0",
470
+ "vase_0"
471
+ ],
472
+ "view_008_edge_left": [
473
+ "bowl_0",
474
+ "plant_0"
475
+ ],
476
+ "view_008_edge_right": [
477
+ "toaster_1"
478
+ ],
479
+ "view_008": [
480
+ "bowl_0",
481
+ "glass_0",
482
+ "plant_0",
483
+ "vase_0",
484
+ "toaster_1"
485
+ ],
486
+ "view_008_step_down": [
487
+ "bowl_0",
488
+ "glass_0",
489
+ "plant_0",
490
+ "vase_0",
491
+ "toaster_1"
492
+ ],
493
+ "view_008_step_forward": [
494
+ "bowl_0",
495
+ "glass_0",
496
+ "plant_0",
497
+ "sink_0",
498
+ "vase_0",
499
+ "toaster_1"
500
+ ],
501
+ "view_008_step_forward_yaw_left": [
502
+ "bowl_0",
503
+ "glass_0",
504
+ "plant_0",
505
+ "vase_0"
506
+ ],
507
+ "view_008_step_forward_yaw_right": [
508
+ "bowl_0",
509
+ "glass_0",
510
+ "plant_0",
511
+ "robot arm_0",
512
+ "sink_0",
513
+ "toaster_0",
514
+ "vase_0",
515
+ "toaster_1"
516
+ ],
517
+ "view_008_step_left": [
518
+ "bowl_0",
519
+ "glass_0",
520
+ "plant_0",
521
+ "vase_0"
522
+ ],
523
+ "view_008_step_pitch_down": [
524
+ "bowl_0",
525
+ "glass_0",
526
+ "plant_0",
527
+ "vase_0"
528
+ ],
529
+ "view_008_step_pitch_up": [
530
+ "bowl_0",
531
+ "glass_0",
532
+ "plant_0",
533
+ "vase_0",
534
+ "toaster_1"
535
+ ],
536
+ "view_008_step_right": [
537
+ "vase_0",
538
+ "toaster_1"
539
+ ],
540
+ "view_008_step_up": [
541
+ "bowl_0",
542
+ "glass_0",
543
+ "plant_0",
544
+ "vase_0"
545
+ ],
546
+ "view_008_step_yaw_left": [
547
+ "bowl_0",
548
+ "glass_0",
549
+ "plant_0",
550
+ "vase_0"
551
+ ],
552
+ "view_008_step_yaw_right": [
553
+ "bowl_0",
554
+ "glass_0",
555
+ "plant_0",
556
+ "vase_0",
557
+ "toaster_1"
558
+ ],
559
+ "view_009_edge_left": [
560
+ "bowl_0",
561
+ "glass_0",
562
+ "plant_0",
563
+ "vase_0"
564
+ ],
565
+ "view_009_edge_right": [
566
+ "robot arm_0",
567
+ "sink_0"
568
+ ],
569
+ "view_009": [
570
+ "glass_0",
571
+ "sink_0",
572
+ "vase_0",
573
+ "toaster_1"
574
+ ],
575
+ "view_009_step_down": [
576
+ "sink_0",
577
+ "vase_0",
578
+ "toaster_1"
579
+ ],
580
+ "view_009_step_forward": [
581
+ "bowl_0",
582
+ "glass_0",
583
+ "plant_0",
584
+ "robot arm_0",
585
+ "sink_0",
586
+ "vase_0",
587
+ "toaster_1"
588
+ ],
589
+ "view_009_step_forward_yaw_left": [
590
+ "bowl_0",
591
+ "glass_0",
592
+ "plant_0",
593
+ "sink_0",
594
+ "vase_0",
595
+ "toaster_1"
596
+ ],
597
+ "view_009_step_forward_yaw_right": [
598
+ "robot arm_0",
599
+ "sink_0",
600
+ "toaster_0",
601
+ "vase_0",
602
+ "toaster_1"
603
+ ],
604
+ "view_009_step_left": [
605
+ "bowl_0",
606
+ "glass_0",
607
+ "plant_0",
608
+ "vase_0"
609
+ ],
610
+ "view_009_step_pitch_down": [
611
+ "vase_0"
612
+ ],
613
+ "view_009_step_pitch_up": [
614
+ "glass_0",
615
+ "sink_0",
616
+ "vase_0",
617
+ "toaster_1"
618
+ ],
619
+ "view_009_step_right": [
620
+ "robot arm_0",
621
+ "sink_0",
622
+ "toaster_1"
623
+ ],
624
+ "view_009_step_up": [
625
+ "glass_0",
626
+ "vase_0",
627
+ "toaster_1"
628
+ ],
629
+ "view_009_step_yaw_left": [
630
+ "bowl_0",
631
+ "glass_0",
632
+ "plant_0",
633
+ "vase_0",
634
+ "toaster_1"
635
+ ],
636
+ "view_009_step_yaw_right": [
637
+ "sink_0",
638
+ "toaster_1"
639
+ ],
640
+ "view_010_edge_left": [
641
+ "glass_0",
642
+ "plant_0",
643
+ "vase_0"
644
+ ],
645
+ "view_010_edge_right": [
646
+ "robot arm_0"
647
+ ],
648
+ "view_010": [
649
+ "robot arm_0",
650
+ "sink_0",
651
+ "toaster_1"
652
+ ],
653
+ "view_010_step_down": [
654
+ "sink_0",
655
+ "toaster_1"
656
+ ],
657
+ "view_010_step_forward": [
658
+ "robot arm_0",
659
+ "sink_0",
660
+ "toaster_0",
661
+ "vase_0",
662
+ "toaster_1"
663
+ ],
664
+ "view_010_step_forward_yaw_left": [
665
+ "bowl_0",
666
+ "glass_0",
667
+ "plant_0",
668
+ "robot arm_0",
669
+ "sink_0",
670
+ "vase_0",
671
+ "toaster_1"
672
+ ],
673
+ "view_010_step_forward_yaw_right": [
674
+ "bread_0",
675
+ "milk carton_0",
676
+ "robot arm_0",
677
+ "sink_0",
678
+ "toaster_0",
679
+ "toaster_1"
680
+ ],
681
+ "view_010_step_left": [
682
+ "glass_0",
683
+ "sink_0",
684
+ "vase_0",
685
+ "toaster_1"
686
+ ],
687
+ "view_010_step_pitch_down": [
688
+ "robot arm_0"
689
+ ],
690
+ "view_010_step_pitch_up": [
691
+ "robot arm_0",
692
+ "sink_0",
693
+ "toaster_1"
694
+ ],
695
+ "view_010_step_right": [
696
+ "robot arm_0",
697
+ "sink_0",
698
+ "toaster_0"
699
+ ],
700
+ "view_010_step_up": [
701
+ "robot arm_0",
702
+ "sink_0",
703
+ "toaster_1"
704
+ ],
705
+ "view_010_step_yaw_left": [
706
+ "sink_0",
707
+ "vase_0",
708
+ "toaster_1"
709
+ ],
710
+ "view_010_step_yaw_right": [
711
+ "robot arm_0",
712
+ "sink_0",
713
+ "toaster_1"
714
+ ],
715
+ "view_011_edge_left": [
716
+ "sink_0",
717
+ "toaster_1"
718
+ ],
719
+ "view_011_edge_right": [
720
+ "milk carton_0",
721
+ "outlet_0"
722
+ ],
723
+ "view_011": [
724
+ "robot arm_0",
725
+ "sink_0",
726
+ "toaster_0"
727
+ ],
728
+ "view_011_step_down": [
729
+ "robot arm_0",
730
+ "sink_0",
731
+ "toaster_0"
732
+ ],
733
+ "view_011_step_forward": [
734
+ "bread_0",
735
+ "milk carton_0",
736
+ "robot arm_0",
737
+ "sink_0",
738
+ "toaster_0",
739
+ "toaster_1"
740
+ ],
741
+ "view_011_step_forward_yaw_left": [
742
+ "glass_0",
743
+ "robot arm_0",
744
+ "sink_0",
745
+ "toaster_0",
746
+ "vase_0",
747
+ "toaster_1"
748
+ ],
749
+ "view_011_step_forward_yaw_right": [
750
+ "bread_0",
751
+ "milk carton_0",
752
+ "outlet_0",
753
+ "robot arm_0",
754
+ "sink_0",
755
+ "toaster_0"
756
+ ],
757
+ "view_011_step_left": [
758
+ "robot arm_0",
759
+ "sink_0",
760
+ "toaster_1"
761
+ ],
762
+ "view_011_step_pitch_down": [
763
+ "robot arm_0",
764
+ "toaster_0"
765
+ ],
766
+ "view_011_step_pitch_up": [
767
+ "robot arm_0",
768
+ "sink_0",
769
+ "toaster_0"
770
+ ],
771
+ "view_011_step_right": [
772
+ "milk carton_0",
773
+ "outlet_0",
774
+ "robot arm_0",
775
+ "toaster_0"
776
+ ],
777
+ "view_011_step_up": [
778
+ "robot arm_0",
779
+ "sink_0",
780
+ "toaster_0"
781
+ ],
782
+ "view_011_step_yaw_left": [
783
+ "robot arm_0",
784
+ "sink_0",
785
+ "toaster_1"
786
+ ],
787
+ "view_011_step_yaw_right": [
788
+ "robot arm_0",
789
+ "sink_0",
790
+ "toaster_0"
791
+ ]
792
+ }
0256_txt_180b14113617/meta/world_full.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "world_id": "dade6d7d-d858-4adb-992f-843a204f6727",
3
+ "display_name": "This is a compact, modern kitchen counte",
4
+ "tags": null,
5
+ "assets": {
6
+ "mesh": {
7
+ "collider_mesh_url": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/df65c5f2.glb"
8
+ },
9
+ "imagery": {
10
+ "pano_url": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/0d8f50bb-de80-4a44-b604-43dd2787f5d7_panos/rgb_0.png"
11
+ },
12
+ "splats": {
13
+ "spz_urls": {
14
+ "500k": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/5f8b99da-b8f8-489d-8b8c-df5fbfa208f1_ceramic_500k.spz",
15
+ "100k": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/5d73afa8-154a-43b6-9239-48539079f664_dust_100k.spz",
16
+ "150k": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/929f7a2a-6086-4df0-b07c-acb12c8809a9_ceramic_150k.spz",
17
+ "full_res": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/f2127fe8-7f30-460d-812b-f83a42324a26_ceramic.spz"
18
+ },
19
+ "semantics_metadata": {
20
+ "metric_scale_factor": 0.47751665115356445,
21
+ "ground_plane_offset": 0.3369395136833191
22
+ }
23
+ },
24
+ "thumbnail_url": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/b63a2ae0-a7ec-4069-9293-d84e4589a391_sand_mpi/thumbnail.webp",
25
+ "caption": "The scene is a compact, modern kitchen countertop, captured in a realistic style, showcasing a blend of domestic routine and futuristic automation. The overall mood is clinical yet playful, evoking curiosity and a slightly surreal sense of domestic robotics in action. The glossy white countertop spans the entire width of the frame, featuring a slight bevel at its front edge. A pastel pink two-slice toaster, rectangular with rounded edges and brushed metal accents, is centered on the countertop, displaying a brand label on its lower right front. To the left of the toaster, a black robotic arm with articulated joints and a two-fingered gripper is positioned, angled slightly towards a woven wicker basket. This oval-shaped basket, crafted from light brown natural fibers, holds two golden-brown slices of toast and rests in front-left of the toaster. Behind the basket, near the left wall, stands a white paperboard milk carton with red and blue branding, partially revealing \"MILK\" text and a plastic cap. A clear, cylindrical drinking glass with a smooth, glossy surface is placed behind the milk carton, near a white, standard dual electrical outlet mounted on the marble-patterned backsplash. To the right of the toaster, an identical black robotic arm hovers above the edge of a stainless steel sink basin, its gripper open and facing downward. The rectangular sink basin, with rounded corners and a visible chrome strainer in its drain, occupies the right third of the frame, partially cut off. The backsplash behind the countertop consists of large-format tiles with a white base and gray marble veining, covering the entire rear wall. "
26
+ },
27
+ "created_at": "2026-04-10T21:33:25Z",
28
+ "updated_at": "2026-04-10T21:38:46Z",
29
+ "permission": {
30
+ "public": false,
31
+ "allowed_readers": [],
32
+ "allowed_writers": [],
33
+ "allow_id_access": false
34
+ },
35
+ "world_prompt": {
36
+ "text_prompt": "The scene is a compact, modern kitchen countertop, captured in a realistic style, showcasing a blend of domestic routine and futuristic automation. The overall mood is clinical yet playful, evoking curiosity and a slightly surreal sense of domestic robotics in action. The glossy white countertop spans the entire width of the frame, featuring a slight bevel at its front edge. A pastel pink two-slice toaster, rectangular with rounded edges and brushed metal accents, is centered on the countertop, displaying a brand label on its lower right front. To the left of the toaster, a black robotic arm with articulated joints and a two-fingered gripper is positioned, angled slightly towards a woven wicker basket. This oval-shaped basket, crafted from light brown natural fibers, holds two golden-brown slices of toast and rests in front-left of the toaster. Behind the basket, near the left wall, stands a white paperboard milk carton with red and blue branding, partially revealing \"MILK\" text and a plastic cap. A clear, cylindrical drinking glass with a smooth, glossy surface is placed behind the milk carton, near a white, standard dual electrical outlet mounted on the marble-patterned backsplash. To the right of the toaster, an identical black robotic arm hovers above the edge of a stainless steel sink basin, its gripper open and facing downward. The rectangular sink basin, with rounded corners and a visible chrome strainer in its drain, occupies the right third of the frame, partially cut off. The backsplash behind the countertop consists of large-format tiles with a white base and gray marble veining, covering the entire rear wall. The 360 scene is faultless.",
37
+ "type": "text"
38
+ },
39
+ "world_marble_url": "https://marble.worldlabs.ai/world/dade6d7d-d858-4adb-992f-843a204f6727",
40
+ "model": "marble-1.1"
41
+ }
0256_txt_180b14113617/meta/world_metadata.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "operation_id": "d8cf493e-2601-4294-aec3-e5589f76b3ce",
3
+ "created_at": "2026-04-10T21:33:26Z",
4
+ "updated_at": "2026-04-10T21:38:47Z",
5
+ "expires_at": "2026-04-11T00:33:26Z",
6
+ "done": true,
7
+ "error": null,
8
+ "metadata": {
9
+ "progress": {
10
+ "status": "SUCCEEDED",
11
+ "description": "World generation completed successfully"
12
+ },
13
+ "world_id": "dade6d7d-d858-4adb-992f-843a204f6727"
14
+ },
15
+ "response": {
16
+ "world_id": "dade6d7d-d858-4adb-992f-843a204f6727",
17
+ "display_name": "",
18
+ "tags": null,
19
+ "assets": {
20
+ "mesh": {
21
+ "collider_mesh_url": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/df65c5f2.glb"
22
+ },
23
+ "imagery": {
24
+ "pano_url": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/0d8f50bb-de80-4a44-b604-43dd2787f5d7_panos/rgb_0.png"
25
+ },
26
+ "splats": {
27
+ "spz_urls": {
28
+ "500k": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/5f8b99da-b8f8-489d-8b8c-df5fbfa208f1_ceramic_500k.spz",
29
+ "100k": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/5d73afa8-154a-43b6-9239-48539079f664_dust_100k.spz",
30
+ "150k": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/929f7a2a-6086-4df0-b07c-acb12c8809a9_ceramic_150k.spz",
31
+ "full_res": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/f2127fe8-7f30-460d-812b-f83a42324a26_ceramic.spz"
32
+ },
33
+ "semantics_metadata": {
34
+ "metric_scale_factor": 0.47751665,
35
+ "ground_plane_offset": 0.3369395
36
+ }
37
+ },
38
+ "thumbnail_url": "https://cdn.marble.worldlabs.ai/dade6d7d-d858-4adb-992f-843a204f6727/b63a2ae0-a7ec-4069-9293-d84e4589a391_sand_mpi/thumbnail.webp",
39
+ "caption": "The scene is a compact, modern kitchen countertop, captured in a realistic style, showcasing a blend of domestic routine and futuristic automation. The overall mood is clinical yet playful, evoking curiosity and a slightly surreal sense of domestic robotics in action. The glossy white countertop spans the entire width of the frame, featuring a slight bevel at its front edge. A pastel pink two-slice toaster, rectangular with rounded edges and brushed metal accents, is centered on the countertop, displaying a brand label on its lower right front. To the left of the toaster, a black robotic arm with articulated joints and a two-fingered gripper is positioned, angled slightly towards a woven wicker basket. This oval-shaped basket, crafted from light brown natural fibers, holds two golden-brown slices of toast and rests in front-left of the toaster. Behind the basket, near the left wall, stands a white paperboard milk carton with red and blue branding, partially revealing \"MILK\" text and a plastic cap. A clear, cylindrical drinking glass with a smooth, glossy surface is placed behind the milk carton, near a white, standard dual electrical outlet mounted on the marble-patterned backsplash. To the right of the toaster, an identical black robotic arm hovers above the edge of a stainless steel sink basin, its gripper open and facing downward. The rectangular sink basin, with rounded corners and a visible chrome strainer in its drain, occupies the right third of the frame, partially cut off. The backsplash behind the countertop consists of large-format tiles with a white base and gray marble veining, covering the entire rear wall. The 360 scene is faultless."
40
+ },
41
+ "created_at": null,
42
+ "updated_at": null,
43
+ "permission": {
44
+ "public": false,
45
+ "allowed_readers": [],
46
+ "allowed_writers": [],
47
+ "allow_id_access": false
48
+ },
49
+ "world_prompt": null,
50
+ "world_marble_url": "https://marble.worldlabs.ai/world/dade6d7d-d858-4adb-992f-843a204f6727",
51
+ "model": null
52
+ }
53
+ }
0256_txt_180b14113617/tasks/000_closest_object/question_0.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Consider pot (blue point) and countertop (red point). Which is located closer to the viewpoint? Calculate or judge based on the 3D center points of these objects. Select one.",
4
+ "choices": [
5
+ "A. pot (blue point)",
6
+ "B. countertop (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_036",
10
+ "camera_position": [
11
+ -0.1048717463184724,
12
+ -0.6439360813240835,
13
+ 0.12921950284172645
14
+ ],
15
+ "camera_look_at": [
16
+ -0.995175813905996,
17
+ 1.1828463345818774,
18
+ -0.15468537895314027
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "pot",
23
+ "id": "pot_0",
24
+ "centroid": [
25
+ -0.930744469165802,
26
+ 1.0847212076187134,
27
+ -0.42484861612319946
28
+ ],
29
+ "distance_to_camera": 1.994320249461368,
30
+ "width": 0.3551562428474426,
31
+ "length": 0.34035158157348633,
32
+ "height": 0.24520504474639893
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "countertop",
37
+ "id": "countertop_1",
38
+ "centroid": [
39
+ -0.48350924253463745,
40
+ 0.6101119518280029,
41
+ -0.586181640625
42
+ ],
43
+ "distance_to_camera": 1.4925821984289382,
44
+ "width": 1.487548828125,
45
+ "length": 1.357666015625,
46
+ "height": 0.03857421875
47
+ },
48
+ "scene_id": "0256_txt_180b14113617",
49
+ "layout_path": null,
50
+ "image_path": "question_image_0.jpg"
51
+ }
0256_txt_180b14113617/tasks/000_closest_object/question_1.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Which is closer to the camera, pot (blue point) or countertop (red point)? Calculate or judge based on the 3D center points of these objects. Select the appropriate response from the given choices.",
4
+ "choices": [
5
+ "A. pot (blue point)",
6
+ "B. countertop (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_002",
10
+ "camera_position": [
11
+ 0.010293104524308913,
12
+ -1.035738072584275,
13
+ 0.13504595398889752
14
+ ],
15
+ "camera_look_at": [
16
+ -1.0096027343260838,
17
+ 1.2813660297199134,
18
+ -0.18829995149070256
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "pot",
23
+ "id": "pot_0",
24
+ "centroid": [
25
+ -0.930744469165802,
26
+ 1.0847212076187134,
27
+ -0.42484861612319946
28
+ ],
29
+ "distance_to_camera": 2.3864997807954134,
30
+ "width": 0.3551562428474426,
31
+ "length": 0.34035158157348633,
32
+ "height": 0.24520504474639893
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "countertop",
37
+ "id": "countertop_1",
38
+ "centroid": [
39
+ -0.48350924253463745,
40
+ 0.6101119518280029,
41
+ -0.586181640625
42
+ ],
43
+ "distance_to_camera": 1.8635536761927114,
44
+ "width": 1.487548828125,
45
+ "length": 1.357666015625,
46
+ "height": 0.03857421875
47
+ },
48
+ "scene_id": "0256_txt_180b14113617",
49
+ "layout_path": null,
50
+ "image_path": "question_image_1.jpg"
51
+ }
0256_txt_180b14113617/tasks/000_closest_object/question_2.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Which of the following is nearer to the camera \u2014 basket (blue point) or toaster (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
4
+ "choices": [
5
+ "A. basket (blue point)",
6
+ "B. toaster (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_038",
10
+ "camera_position": [
11
+ -0.07652750811650874,
12
+ -0.5961501259504178,
13
+ 0.07762362272236478
14
+ ],
15
+ "camera_look_at": [
16
+ 0.13038993232479817,
17
+ -0.8429407086924419,
18
+ -0.3911984954856116
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "basket",
23
+ "id": "basket_0",
24
+ "centroid": [
25
+ 0.833370566368103,
26
+ -0.7879078984260559,
27
+ -0.486572265625
28
+ ],
29
+ "distance_to_camera": 1.087659206591704,
30
+ "width": 0.5926806926727295,
31
+ "length": 0.6694924533367157,
32
+ "height": 0.18359375
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "toaster",
37
+ "id": "toaster_0",
38
+ "centroid": [
39
+ 0.0652419924736023,
40
+ -0.904735803604126,
41
+ -0.3834228515625
42
+ ],
43
+ "distance_to_camera": 0.572614672533871,
44
+ "width": 0.642822265625,
45
+ "length": 0.41064453125,
46
+ "height": 0.335693359375
47
+ },
48
+ "scene_id": "0256_txt_180b14113617",
49
+ "layout_path": null,
50
+ "image_path": "question_image_2.jpg"
51
+ }
0256_txt_180b14113617/tasks/000_closest_object/question_3.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Look at vase (blue point) and sink (red point). Which one appears at a shorter depth from the camera? Calculate or judge based on the 3D center points of these objects. Pick the correct answer.",
4
+ "choices": [
5
+ "A. vase (blue point)",
6
+ "B. sink (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_008",
10
+ "camera_position": [
11
+ -0.05728979132536623,
12
+ -0.7983256313850311,
13
+ 0.12847099546274077
14
+ ],
15
+ "camera_look_at": [
16
+ -0.9443131914080614,
17
+ -0.44897471016757073,
18
+ -0.053131283539371243
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "vase",
23
+ "id": "vase_0",
24
+ "centroid": [
25
+ -1.0291059017181396,
26
+ 0.6837235689163208,
27
+ -0.2919922210276127
28
+ ],
29
+ "distance_to_camera": 1.8214515368118442,
30
+ "width": 0.17713874578475952,
31
+ "length": 0.4013671875,
32
+ "height": 0.5367578789591789
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "sink",
37
+ "id": "sink_0",
38
+ "centroid": [
39
+ -1.0197263956069946,
40
+ -0.6982101798057556,
41
+ -0.76123046875
42
+ ],
43
+ "distance_to_camera": 1.314486978379158,
44
+ "width": 0.72265625,
45
+ "length": 0.8876953125,
46
+ "height": 0.353515625
47
+ },
48
+ "scene_id": "0256_txt_180b14113617",
49
+ "layout_path": null,
50
+ "image_path": "question_image_3.jpg"
51
+ }
0256_txt_180b14113617/tasks/000_closest_object/question_4.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Look at toaster (blue point) and basket (red point). Which one appears at a shorter depth from the camera? Calculate or judge based on the 3D center points of these objects. Pick the correct answer.",
4
+ "choices": [
5
+ "A. toaster (blue point)",
6
+ "B. basket (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_018",
10
+ "camera_position": [
11
+ -0.08444947899551972,
12
+ -0.5471702562790147,
13
+ 0.03183030754142546
14
+ ],
15
+ "camera_look_at": [
16
+ 0.7256643034953192,
17
+ -1.2115783874472765,
18
+ -0.3617829247129586
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "toaster",
23
+ "id": "toaster_0",
24
+ "centroid": [
25
+ 0.0652419924736023,
26
+ -0.904735803604126,
27
+ -0.3834228515625
28
+ ],
29
+ "distance_to_camera": 0.5680632389182453,
30
+ "width": 0.642822265625,
31
+ "length": 0.41064453125,
32
+ "height": 0.335693359375
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "basket",
37
+ "id": "basket_0",
38
+ "centroid": [
39
+ 0.833370566368103,
40
+ -0.7879078984260559,
41
+ -0.486572265625
42
+ ],
43
+ "distance_to_camera": 1.0812444107986734,
44
+ "width": 0.5926806926727295,
45
+ "length": 0.6694924533367157,
46
+ "height": 0.18359375
47
+ },
48
+ "scene_id": "0256_txt_180b14113617",
49
+ "layout_path": null,
50
+ "image_path": "question_image_4.jpg"
51
+ }
0256_txt_180b14113617/tasks/000_closest_object/question_5.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of vase (blue point) and sink (red point), which object is the nearest to the camera? Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer.",
4
+ "choices": [
5
+ "A. vase (blue point)",
6
+ "B. sink (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_008",
10
+ "camera_position": [
11
+ -0.05728979132536623,
12
+ -0.7983256313850311,
13
+ 0.12847099546274077
14
+ ],
15
+ "camera_look_at": [
16
+ -0.9443131914080614,
17
+ -0.44897471016757073,
18
+ -0.053131283539371243
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "vase",
23
+ "id": "vase_0",
24
+ "centroid": [
25
+ -1.0291059017181396,
26
+ 0.6837235689163208,
27
+ -0.2919922210276127
28
+ ],
29
+ "distance_to_camera": 1.8214515368118442,
30
+ "width": 0.17713874578475952,
31
+ "length": 0.4013671875,
32
+ "height": 0.5367578789591789
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "sink",
37
+ "id": "sink_0",
38
+ "centroid": [
39
+ -1.0197263956069946,
40
+ -0.6982101798057556,
41
+ -0.76123046875
42
+ ],
43
+ "distance_to_camera": 1.314486978379158,
44
+ "width": 0.72265625,
45
+ "length": 0.8876953125,
46
+ "height": 0.353515625
47
+ },
48
+ "scene_id": "0256_txt_180b14113617",
49
+ "layout_path": null,
50
+ "image_path": "question_image_5.jpg"
51
+ }
0256_txt_180b14113617/tasks/000_closest_object/question_6.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Determine which object is closer to the camera: electrical outlet (blue point) or countertop (red point). Calculate or judge based on the 3D center points of these objects. Choose from the given options.",
4
+ "choices": [
5
+ "A. electrical outlet (blue point)",
6
+ "B. countertop (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "view_000",
10
+ "camera_position": [
11
+ -0.0,
12
+ -0.0,
13
+ 0.0
14
+ ],
15
+ "camera_look_at": [
16
+ 0.0,
17
+ -9.659257888793945,
18
+ -2.5881905555725098
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "electrical outlet",
23
+ "id": "electrical outlet_0",
24
+ "centroid": [
25
+ 0.8918049335479736,
26
+ -1.3768727779388428,
27
+ 0.130126953125
28
+ ],
29
+ "distance_to_camera": 1.6456086138748567,
30
+ "width": 0.44384765625,
31
+ "length": 0.0556640625,
32
+ "height": 0.18505859375
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "countertop",
37
+ "id": "countertop_0",
38
+ "centroid": [
39
+ 0.05944494158029556,
40
+ -0.6696711182594299,
41
+ -0.5948486328125
42
+ ],
43
+ "distance_to_camera": 0.8976848019595857,
44
+ "width": 1.7487890720367432,
45
+ "length": 1.0185546875,
46
+ "height": 0.032470703125
47
+ },
48
+ "scene_id": "0256_txt_180b14113617",
49
+ "layout_path": null,
50
+ "image_path": "question_image_6.jpg"
51
+ }
0256_txt_180b14113617/tasks/000_closest_object/question_7.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Of electrical outlet (blue point) and countertop (red point), which is positioned closer to the camera? Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
4
+ "choices": [
5
+ "A. electrical outlet (blue point)",
6
+ "B. countertop (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_012",
10
+ "camera_position": [
11
+ -0.16506761179444251,
12
+ 0.06128442590070404,
13
+ 0.21936493640408905
14
+ ],
15
+ "camera_look_at": [
16
+ 0.7498114493320573,
17
+ -1.268991202815275,
18
+ -0.3448897558499666
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "electrical outlet",
23
+ "id": "electrical outlet_0",
24
+ "centroid": [
25
+ 0.8918049335479736,
26
+ -1.3768727779388428,
27
+ 0.130126953125
28
+ ],
29
+ "distance_to_camera": 1.7869636643518694,
30
+ "width": 0.44384765625,
31
+ "length": 0.0556640625,
32
+ "height": 0.18505859375
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "countertop",
37
+ "id": "countertop_0",
38
+ "centroid": [
39
+ 0.05944494158029556,
40
+ -0.6696711182594299,
41
+ -0.5948486328125
42
+ ],
43
+ "distance_to_camera": 1.1169805864282956,
44
+ "width": 1.7487890720367432,
45
+ "length": 1.0185546875,
46
+ "height": 0.032470703125
47
+ },
48
+ "scene_id": "0256_txt_180b14113617",
49
+ "layout_path": null,
50
+ "image_path": "question_image_7.jpg"
51
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the basket (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "1.15",
5
+ "camera_name": "rand_040",
6
+ "camera_position": [
7
+ -0.281412503610044,
8
+ -0.6449821985778228,
9
+ -0.22688120955990132
10
+ ],
11
+ "camera_look_at": [
12
+ 0.8431829628648642,
13
+ -0.7747877545237007,
14
+ -0.49713276729724515
15
+ ],
16
+ "object": {
17
+ "label": "basket",
18
+ "id": "basket_0",
19
+ "centroid": [
20
+ 0.833370566368103,
21
+ -0.7879078984260559,
22
+ -0.486572265625
23
+ ],
24
+ "depth": 1.15,
25
+ "width": 0.5926806926727295,
26
+ "length": 0.6694924533367157,
27
+ "height": 0.18359375
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the distance along the camera's viewing direction to the plant (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "2.1",
5
+ "camera_name": "rand_024",
6
+ "camera_position": [
7
+ -0.37489573539137244,
8
+ -0.8354647223467709,
9
+ -0.03360021426789506
10
+ ],
11
+ "camera_look_at": [
12
+ -1.081200544582423,
13
+ 1.1527107709953508,
14
+ -0.15272741997677766
15
+ ],
16
+ "object": {
17
+ "label": "plant",
18
+ "id": "plant_0",
19
+ "centroid": [
20
+ -0.9970969557762146,
21
+ 1.1645783185958862,
22
+ -0.17191410064697266
23
+ ],
24
+ "depth": 2.1,
25
+ "width": 0.46434587240219116,
26
+ "length": 0.4817676544189453,
27
+ "height": 0.2696094512939453
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_10.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the pot (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "0.88",
5
+ "camera_name": "rand_052",
6
+ "camera_position": [
7
+ -0.5094939090771455,
8
+ 0.3450896731068357,
9
+ -0.08125902244762462
10
+ ],
11
+ "camera_look_at": [
12
+ -0.8769204930864868,
13
+ 1.2063452729214783,
14
+ -0.17606642858142
15
+ ],
16
+ "object": {
17
+ "label": "pot",
18
+ "id": "pot_0",
19
+ "centroid": [
20
+ -0.930744469165802,
21
+ 1.0847212076187134,
22
+ -0.42484861612319946
23
+ ],
24
+ "depth": 0.88,
25
+ "width": 0.3551562428474426,
26
+ "length": 0.34035158157348633,
27
+ "height": 0.24520504474639893
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_10.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_11.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the sink (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "0.95",
5
+ "camera_name": "rand_032",
6
+ "camera_position": [
7
+ -0.15701978239814907,
8
+ -0.9741186219930054,
9
+ -0.10019451663210821
10
+ ],
11
+ "camera_look_at": [
12
+ -1.0215113867784726,
13
+ -0.5266809399531507,
14
+ -0.19797658027131884
15
+ ],
16
+ "object": {
17
+ "label": "sink",
18
+ "id": "sink_0",
19
+ "centroid": [
20
+ -1.0197263956069946,
21
+ -0.6982101798057556,
22
+ -0.76123046875
23
+ ],
24
+ "depth": 0.95,
25
+ "width": 0.72265625,
26
+ "length": 0.8876953125,
27
+ "height": 0.353515625
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_11.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_12.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the electrical outlet (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
4
+ "answer": "1.0",
5
+ "camera_name": "rand_044",
6
+ "camera_position": [
7
+ 0.24690667430770005,
8
+ -0.49158092983468016,
9
+ -0.17555364205689605
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7150780786431731,
13
+ -1.2310059995504674,
14
+ -0.37225686610147773
15
+ ],
16
+ "object": {
17
+ "label": "electrical outlet",
18
+ "id": "electrical outlet_0",
19
+ "centroid": [
20
+ 0.8918049335479736,
21
+ -1.3768727779388428,
22
+ 0.130126953125
23
+ ],
24
+ "depth": 1.0,
25
+ "width": 0.44384765625,
26
+ "length": 0.0556640625,
27
+ "height": 0.18505859375
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_12.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_13.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the basket (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.88",
5
+ "camera_name": "rand_054",
6
+ "camera_position": [
7
+ -0.6562809950103989,
8
+ -0.6114485362037495,
9
+ 0.6702950959043876
10
+ ],
11
+ "camera_look_at": [
12
+ 1.0006712826077715,
13
+ -0.7669854373537909,
14
+ -0.3052084032826059
15
+ ],
16
+ "object": {
17
+ "label": "basket",
18
+ "id": "basket_0",
19
+ "centroid": [
20
+ 0.833370566368103,
21
+ -0.7879078984260559,
22
+ -0.486572265625
23
+ ],
24
+ "depth": 1.88,
25
+ "width": 0.5926806926727295,
26
+ "length": 0.6694924533367157,
27
+ "height": 0.18359375
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_13.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_14.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the milk carton (red point) from the camera viewpoint. Calculate or judge based on the 3D center points of these objects. State the answer in meters as one number.",
4
+ "answer": "1.79",
5
+ "camera_name": "rand_054",
6
+ "camera_position": [
7
+ -0.6562809950103989,
8
+ -0.6114485362037495,
9
+ 0.6702950959043876
10
+ ],
11
+ "camera_look_at": [
12
+ 1.0006712826077715,
13
+ -0.7669854373537909,
14
+ -0.3052084032826059
15
+ ],
16
+ "object": {
17
+ "label": "milk carton",
18
+ "id": "milk carton_0",
19
+ "centroid": [
20
+ 0.7583510279655457,
21
+ -1.2525218725204468,
22
+ -0.35837888717651367
23
+ ],
24
+ "depth": 1.79,
25
+ "width": 0.234130859375,
26
+ "length": 0.216552734375,
27
+ "height": 0.44527339935302734
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_14.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_15.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the electrical outlet (red point)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Answer using a single number and nothing else.",
4
+ "answer": "1.69",
5
+ "camera_name": "rand_043",
6
+ "camera_position": [
7
+ -0.20100531347465161,
8
+ -0.0322081632133176,
9
+ -0.22328106538698989
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7557698834432808,
13
+ -1.1696384004857756,
14
+ -0.3576050588422154
15
+ ],
16
+ "object": {
17
+ "label": "electrical outlet",
18
+ "id": "electrical outlet_0",
19
+ "centroid": [
20
+ 0.8918049335479736,
21
+ -1.3768727779388428,
22
+ 0.130126953125
23
+ ],
24
+ "depth": 1.69,
25
+ "width": 0.44384765625,
26
+ "length": 0.0556640625,
27
+ "height": 0.18505859375
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_15.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_16.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the pot (red point) from the camera viewpoint. Calculate or judge based on the 3D center points of these objects. State the answer in meters as one number.",
4
+ "answer": "1.84",
5
+ "camera_name": "rand_011",
6
+ "camera_position": [
7
+ -0.08612782227466936,
8
+ -0.8572227905464764,
9
+ 0.4419321355096453
10
+ ],
11
+ "camera_look_at": [
12
+ -0.9412935409749121,
13
+ -0.4294002728362387,
14
+ -0.07005346706116267
15
+ ],
16
+ "object": {
17
+ "label": "pot",
18
+ "id": "pot_0",
19
+ "centroid": [
20
+ -0.930744469165802,
21
+ 1.0847212076187134,
22
+ -0.42484861612319946
23
+ ],
24
+ "depth": 1.84,
25
+ "width": 0.3551562428474426,
26
+ "length": 0.34035158157348633,
27
+ "height": 0.24520504474639893
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_16.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_17.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the milk carton (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "0.79",
5
+ "camera_name": "rand_059",
6
+ "camera_position": [
7
+ 0.22103044716510964,
8
+ -0.7875520125544527,
9
+ 0.0015064400362198027
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7588510118311994,
13
+ -1.1662736721377387,
14
+ -0.33156322450730874
15
+ ],
16
+ "object": {
17
+ "label": "milk carton",
18
+ "id": "milk carton_0",
19
+ "centroid": [
20
+ 0.7583510279655457,
21
+ -1.2525218725204468,
22
+ -0.35837888717651367
23
+ ],
24
+ "depth": 0.79,
25
+ "width": 0.234130859375,
26
+ "length": 0.216552734375,
27
+ "height": 0.44527339935302734
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_17.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_18.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the countertop (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "0.96",
5
+ "camera_name": "rand_012",
6
+ "camera_position": [
7
+ -0.16506761179444251,
8
+ 0.06128442590070404,
9
+ 0.21936493640408905
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7498114493320573,
13
+ -1.268991202815275,
14
+ -0.3448897558499666
15
+ ],
16
+ "object": {
17
+ "label": "countertop",
18
+ "id": "countertop_0",
19
+ "centroid": [
20
+ 0.05944494158029556,
21
+ -0.6696711182594299,
22
+ -0.5948486328125
23
+ ],
24
+ "depth": 0.96,
25
+ "width": 1.7487890720367432,
26
+ "length": 1.0185546875,
27
+ "height": 0.032470703125
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_18.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_19.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the countertop (red point) from the camera viewpoint. Calculate or judge based on the 3D center points of these objects. State the answer in meters as one number.",
4
+ "answer": "1.5",
5
+ "camera_name": "rand_053",
6
+ "camera_position": [
7
+ 0.1304799862861964,
8
+ -0.677216318134221,
9
+ 0.7827105701968462
10
+ ],
11
+ "camera_look_at": [
12
+ -0.920050854794692,
13
+ -0.49301348064462147,
14
+ -0.05467939292722246
15
+ ],
16
+ "object": {
17
+ "label": "countertop",
18
+ "id": "countertop_1",
19
+ "centroid": [
20
+ -0.48350924253463745,
21
+ 0.6101119518280029,
22
+ -0.586181640625
23
+ ],
24
+ "depth": 1.5,
25
+ "width": 1.487548828125,
26
+ "length": 1.357666015625,
27
+ "height": 0.03857421875
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_19.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the vase (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
4
+ "answer": "1.54",
5
+ "camera_name": "rand_031",
6
+ "camera_position": [
7
+ 0.12755189776391873,
8
+ -0.37647801920834234,
9
+ -0.04646074329722505
10
+ ],
11
+ "camera_look_at": [
12
+ -0.954706568087472,
13
+ 1.1998068631144807,
14
+ -0.20161195078605204
15
+ ],
16
+ "object": {
17
+ "label": "vase",
18
+ "id": "vase_0",
19
+ "centroid": [
20
+ -1.0291059017181396,
21
+ 0.6837235689163208,
22
+ -0.2919922210276127
23
+ ],
24
+ "depth": 1.54,
25
+ "width": 0.17713874578475952,
26
+ "length": 0.4013671875,
27
+ "height": 0.5367578789591789
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the toaster (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "0.4",
5
+ "camera_name": "rand_040",
6
+ "camera_position": [
7
+ -0.281412503610044,
8
+ -0.6449821985778228,
9
+ -0.22688120955990132
10
+ ],
11
+ "camera_look_at": [
12
+ 0.8431829628648642,
13
+ -0.7747877545237007,
14
+ -0.49713276729724515
15
+ ],
16
+ "object": {
17
+ "label": "toaster",
18
+ "id": "toaster_0",
19
+ "centroid": [
20
+ 0.0652419924736023,
21
+ -0.904735803604126,
22
+ -0.3834228515625
23
+ ],
24
+ "depth": 0.4,
25
+ "width": 0.642822265625,
26
+ "length": 0.41064453125,
27
+ "height": 0.335693359375
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_3.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_4.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the plant (red point) from the camera viewpoint. Calculate or judge based on the 3D center points of these objects. State the answer in meters as one number.",
4
+ "answer": "2.5",
5
+ "camera_name": "rand_025",
6
+ "camera_position": [
7
+ 0.13943053561127416,
8
+ -0.9068834556690641,
9
+ 0.7793782723116327
10
+ ],
11
+ "camera_look_at": [
12
+ -0.4442445572457403,
13
+ 0.6175064205508458,
14
+ -0.1974171459437999
15
+ ],
16
+ "object": {
17
+ "label": "plant",
18
+ "id": "plant_0",
19
+ "centroid": [
20
+ -0.9970969557762146,
21
+ 1.1645783185958862,
22
+ -0.17191410064697266
23
+ ],
24
+ "depth": 2.5,
25
+ "width": 0.46434587240219116,
26
+ "length": 0.4817676544189453,
27
+ "height": 0.2696094512939453
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_5.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the vase (red point)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Answer using a single number and nothing else.",
4
+ "answer": "2.14",
5
+ "camera_name": "rand_058",
6
+ "camera_position": [
7
+ 0.49467067361898076,
8
+ -0.8463789361297769,
9
+ -0.2199170407401032
10
+ ],
11
+ "camera_look_at": [
12
+ -1.0129151680290929,
13
+ 1.1818571067622763,
14
+ -0.27867846605102264
15
+ ],
16
+ "object": {
17
+ "label": "vase",
18
+ "id": "vase_0",
19
+ "centroid": [
20
+ -1.0291059017181396,
21
+ 0.6837235689163208,
22
+ -0.2919922210276127
23
+ ],
24
+ "depth": 2.14,
25
+ "width": 0.17713874578475952,
26
+ "length": 0.4013671875,
27
+ "height": 0.5367578789591789
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_5.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_6.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the countertop (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "1.38",
5
+ "camera_name": "rand_036",
6
+ "camera_position": [
7
+ -0.1048717463184724,
8
+ -0.6439360813240835,
9
+ 0.12921950284172645
10
+ ],
11
+ "camera_look_at": [
12
+ -0.995175813905996,
13
+ 1.1828463345818774,
14
+ -0.15468537895314027
15
+ ],
16
+ "object": {
17
+ "label": "countertop",
18
+ "id": "countertop_1",
19
+ "centroid": [
20
+ -0.48350924253463745,
21
+ 0.6101119518280029,
22
+ -0.586181640625
23
+ ],
24
+ "depth": 1.38,
25
+ "width": 1.487548828125,
26
+ "length": 1.357666015625,
27
+ "height": 0.03857421875
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_6.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_7.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the sink (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.54",
5
+ "camera_name": "rand_027",
6
+ "camera_position": [
7
+ 0.4840991480350838,
8
+ -0.8425768227580706,
9
+ 0.04416472844186026
10
+ ],
11
+ "camera_look_at": [
12
+ -1.010033828752261,
13
+ -0.49785836551596696,
14
+ -0.05023706494310423
15
+ ],
16
+ "object": {
17
+ "label": "sink",
18
+ "id": "sink_0",
19
+ "centroid": [
20
+ -1.0197263956069946,
21
+ -0.6982101798057556,
22
+ -0.76123046875
23
+ ],
24
+ "depth": 1.54,
25
+ "width": 0.72265625,
26
+ "length": 0.8876953125,
27
+ "height": 0.353515625
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_7.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_8.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the distance along the camera's viewing direction to the toaster (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "0.48",
5
+ "camera_name": "rand_046",
6
+ "camera_position": [
7
+ 0.39901413996758184,
8
+ -0.5979247396250019,
9
+ -0.23046427986835516
10
+ ],
11
+ "camera_look_at": [
12
+ 0.06661257570065038,
13
+ -0.897705093931021,
14
+ -0.3730589472286426
15
+ ],
16
+ "object": {
17
+ "label": "toaster",
18
+ "id": "toaster_0",
19
+ "centroid": [
20
+ 0.0652419924736023,
21
+ -0.904735803604126,
22
+ -0.3834228515625
23
+ ],
24
+ "depth": 0.48,
25
+ "width": 0.642822265625,
26
+ "length": 0.41064453125,
27
+ "height": 0.335693359375
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_8.jpg"
32
+ }
0256_txt_180b14113617/tasks/001_depth_estimation/question_9.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the countertop (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "0.74",
5
+ "camera_name": "view_001",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 4.829628944396973,
13
+ -8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "countertop",
18
+ "id": "countertop_0",
19
+ "centroid": [
20
+ 0.05944494158029556,
21
+ -0.6696711182594299,
22
+ -0.5948486328125
23
+ ],
24
+ "depth": 0.74,
25
+ "width": 1.7487890720367432,
26
+ "length": 1.0185546875,
27
+ "height": 0.032470703125
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_9.jpg"
32
+ }
0256_txt_180b14113617/tasks/002_distance_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the spatial distance from the observer to the milk carton (red point) in meters? Calculate or judge based on the 3D center points of these objects. Reply with a number.",
4
+ "answer": "1.5",
5
+ "camera_name": "rand_017",
6
+ "camera_position": [
7
+ -0.03897198315536096,
8
+ -0.1889600390170345,
9
+ 0.3359397632321297
10
+ ],
11
+ "camera_look_at": [
12
+ 0.022250994192718837,
13
+ -0.8882526639531683,
14
+ -0.40775696760835234
15
+ ],
16
+ "object": {
17
+ "label": "milk carton",
18
+ "id": "milk carton_0",
19
+ "centroid": [
20
+ 0.7583510279655457,
21
+ -1.2525218725204468,
22
+ -0.35837888717651367
23
+ ],
24
+ "distance": 1.4996553424214945,
25
+ "width": 0.234130859375,
26
+ "length": 0.216552734375,
27
+ "height": 0.44527339935302734
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0256_txt_180b14113617/tasks/002_distance_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Measure the distance from the camera position to the countertop (red point). Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "2.05",
5
+ "camera_name": "rand_014",
6
+ "camera_position": [
7
+ 0.37220165748179856,
8
+ -0.8000353057873162,
9
+ 0.6384718616055292
10
+ ],
11
+ "camera_look_at": [
12
+ -0.9865470114743629,
13
+ -0.4813398593569207,
14
+ -0.014617501639694996
15
+ ],
16
+ "object": {
17
+ "label": "countertop",
18
+ "id": "countertop_1",
19
+ "centroid": [
20
+ -0.48350924253463745,
21
+ 0.6101119518280029,
22
+ -0.586181640625
23
+ ],
24
+ "distance": 2.054393495193276,
25
+ "width": 1.487548828125,
26
+ "length": 1.357666015625,
27
+ "height": 0.03857421875
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0256_txt_180b14113617/tasks/002_distance_estimation/question_10.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Calculate the Euclidean distance in meters from the viewpoint to the pot (red point). Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "1.49",
5
+ "camera_name": "view_006",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 1.1829179332573624e-15,
13
+ 9.659257888793945,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "pot",
18
+ "id": "pot_0",
19
+ "centroid": [
20
+ -0.930744469165802,
21
+ 1.0847212076187134,
22
+ -0.42484861612319946
23
+ ],
24
+ "distance": 1.4911075453374676,
25
+ "width": 0.3551562428474426,
26
+ "length": 0.34035158157348633,
27
+ "height": 0.24520504474639893
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_10.jpg"
32
+ }
0256_txt_180b14113617/tasks/002_distance_estimation/question_11.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Calculate the Euclidean distance in meters from the viewpoint to the vase (red point). Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "2.25",
5
+ "camera_name": "rand_025",
6
+ "camera_position": [
7
+ 0.13943053561127416,
8
+ -0.9068834556690641,
9
+ 0.7793782723116327
10
+ ],
11
+ "camera_look_at": [
12
+ -0.4442445572457403,
13
+ 0.6175064205508458,
14
+ -0.1974171459437999
15
+ ],
16
+ "object": {
17
+ "label": "vase",
18
+ "id": "vase_0",
19
+ "centroid": [
20
+ -1.0291059017181396,
21
+ 0.6837235689163208,
22
+ -0.2919922210276127
23
+ ],
24
+ "distance": 2.245738819637063,
25
+ "width": 0.17713874578475952,
26
+ "length": 0.4013671875,
27
+ "height": 0.5367578789591789
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_11.jpg"
32
+ }
0256_txt_180b14113617/tasks/002_distance_estimation/question_12.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Estimate the 3D distance in meters between the camera and the electrical outlet (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.79",
5
+ "camera_name": "rand_012",
6
+ "camera_position": [
7
+ -0.16506761179444251,
8
+ 0.06128442590070404,
9
+ 0.21936493640408905
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7498114493320573,
13
+ -1.268991202815275,
14
+ -0.3448897558499666
15
+ ],
16
+ "object": {
17
+ "label": "electrical outlet",
18
+ "id": "electrical outlet_0",
19
+ "centroid": [
20
+ 0.8918049335479736,
21
+ -1.3768727779388428,
22
+ 0.130126953125
23
+ ],
24
+ "distance": 1.7869636643518694,
25
+ "width": 0.44384765625,
26
+ "length": 0.0556640625,
27
+ "height": 0.18505859375
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_12.jpg"
32
+ }
0256_txt_180b14113617/tasks/002_distance_estimation/question_13.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the total distance in meters from the person who captured the image to the center of pot (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
4
+ "answer": "2.29",
5
+ "camera_name": "rand_011",
6
+ "camera_position": [
7
+ -0.08612782227466936,
8
+ -0.8572227905464764,
9
+ 0.4419321355096453
10
+ ],
11
+ "camera_look_at": [
12
+ -0.9412935409749121,
13
+ -0.4294002728362387,
14
+ -0.07005346706116267
15
+ ],
16
+ "object": {
17
+ "label": "pot",
18
+ "id": "pot_0",
19
+ "centroid": [
20
+ -0.930744469165802,
21
+ 1.0847212076187134,
22
+ -0.42484861612319946
23
+ ],
24
+ "distance": 2.2881941883539128,
25
+ "width": 0.3551562428474426,
26
+ "length": 0.34035158157348633,
27
+ "height": 0.24520504474639893
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_13.jpg"
32
+ }
0256_txt_180b14113617/tasks/002_distance_estimation/question_14.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "How many meters is the sink (red point) from the image capture point? Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.45",
5
+ "camera_name": "view_011",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ -4.829628944396973,
13
+ -8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "sink",
18
+ "id": "sink_0",
19
+ "centroid": [
20
+ -1.0197263956069946,
21
+ -0.6982101798057556,
22
+ -0.76123046875
23
+ ],
24
+ "distance": 1.4514858606391463,
25
+ "width": 0.72265625,
26
+ "length": 0.8876953125,
27
+ "height": 0.353515625
28
+ },
29
+ "scene_id": "0256_txt_180b14113617",
30
+ "layout_path": null,
31
+ "image_path": "question_image_14.jpg"
32
+ }