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- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_0.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_1.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_10.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_11.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_12.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_13.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_14.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_15.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_16.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_17.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_18.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_19.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_2.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_20.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_21.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_22.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_23.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_24.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_25.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_26.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_27.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_28.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_29.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_3.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_30.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_31.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_32.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_33.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_34.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_35.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_36.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_37.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_38.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_39.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_4.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_40.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_41.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_42.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_43.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_44.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_45.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_46.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_5.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_6.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_7.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_8.json +32 -0
- 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_9.json +32 -0
- 0239_txt_b72ba4077d48/tasks/003_object_distance/question_1.json +47 -0
- 0239_txt_b72ba4077d48/tasks/003_object_distance/question_12.json +47 -0
- 0239_txt_b72ba4077d48/tasks/003_object_distance/question_13.json +47 -0
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_0.json
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{
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"type": "depth_estimation",
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"question": "Report the depth of the shelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
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"answer": "1.79",
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"camera_name": "rand_046",
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"camera_position": [
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0.4015121367978426,
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-1.1140998864912128,
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-0.40851823282103794
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],
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"camera_look_at": [
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1.2768424217383392,
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0.6803192805276232,
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-0.5137131103766002
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],
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"object": {
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"label": "shelf",
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"id": "shelf_1",
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"centroid": [
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0.8900377750396729,
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0.6363433003425598,
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-0.5077954083681107
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],
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"depth": 1.79,
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"width": 1.0875048637390137,
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"length": 0.9253612756729126,
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"height": 0.07522949576377869
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},
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"scene_id": "0239_txt_b72ba4077d48",
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"layout_path": null,
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"image_path": "question_image_0.jpg"
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}
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0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_1.json
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{
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"type": "depth_estimation",
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"question": "Determine the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
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"answer": "1.01",
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"camera_name": "view_003",
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"camera_position": [
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-0.0,
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-0.0,
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0.0
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],
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"camera_look_at": [
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9.659257888793945,
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-5.914589666286812e-16,
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-2.5881905555725098
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],
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"object": {
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"label": "photo",
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"id": "photo_2",
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"centroid": [
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0.9540694952011108,
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| 21 |
+
0.9343600273132324,
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| 22 |
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-0.3493652194738388
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| 23 |
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],
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| 24 |
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"depth": 1.01,
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| 25 |
+
"width": 0.5647362470626831,
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| 26 |
+
"length": 0.45330071449279785,
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| 27 |
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"height": 1.5678026974201202
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| 28 |
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},
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| 29 |
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"scene_id": "0239_txt_b72ba4077d48",
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| 30 |
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"layout_path": null,
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| 31 |
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"image_path": "question_image_1.jpg"
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}
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0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_10.json
ADDED
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{
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"type": "depth_estimation",
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"question": "Calculate the depth of the tissue box (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.",
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| 4 |
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"answer": "1.47",
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"camera_name": "rand_012",
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"camera_position": [
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-0.25551299678568795,
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0.2499816490853265,
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-0.5048754419727814
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],
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"camera_look_at": [
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-1.0311700290581403,
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| 13 |
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-0.187856382319589,
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| 14 |
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-0.5948186835735494
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| 15 |
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],
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| 16 |
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"object": {
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| 17 |
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"label": "tissue box",
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| 18 |
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"id": "tissue box_0",
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"centroid": [
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| 20 |
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-1.3447366952896118,
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| 21 |
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-0.7116829752922058,
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| 22 |
+
-1.0291747748851776
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| 23 |
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],
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| 24 |
+
"depth": 1.47,
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| 25 |
+
"width": 0.41841793060302734,
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| 26 |
+
"length": 0.28137701749801636,
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| 27 |
+
"height": 0.12516599893569946
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| 28 |
+
},
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| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
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| 30 |
+
"layout_path": null,
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| 31 |
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"image_path": "question_image_10.jpg"
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| 32 |
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}
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0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_11.json
ADDED
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{
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| 2 |
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"type": "depth_estimation",
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| 3 |
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"question": "Determine the depth of the box (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
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| 4 |
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"answer": "1.19",
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| 5 |
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"camera_name": "rand_058",
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| 6 |
+
"camera_position": [
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| 7 |
+
0.6649564375067484,
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| 8 |
+
-0.7663913681592024,
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| 9 |
+
-0.6455024775276939
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| 10 |
+
],
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| 11 |
+
"camera_look_at": [
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| 12 |
+
0.6756065591226043,
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| 13 |
+
-1.5145498969136462,
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| 14 |
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-0.9581053129305529
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| 15 |
+
],
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| 16 |
+
"object": {
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| 17 |
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"label": "box",
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| 18 |
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"id": "box_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.0544344186782837,
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| 21 |
+
-2.069040298461914,
|
| 22 |
+
-0.6025123596191406
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.19,
|
| 25 |
+
"width": 1.111083984375,
|
| 26 |
+
"length": 0.9066311120986938,
|
| 27 |
+
"height": 0.44086456298828125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
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| 31 |
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"image_path": "question_image_11.jpg"
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| 32 |
+
}
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0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_12.json
ADDED
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{
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| 2 |
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"type": "depth_estimation",
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| 3 |
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"question": "What is the distance along the camera's viewing direction to the chair (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
|
| 4 |
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"answer": "1.47",
|
| 5 |
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"camera_name": "view_001",
|
| 6 |
+
"camera_position": [
|
| 7 |
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-0.0,
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| 8 |
+
-0.0,
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| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
4.829628944396973,
|
| 13 |
+
-8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "chair",
|
| 18 |
+
"id": "chair_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.19375702738761902,
|
| 21 |
+
-1.3398154973983765,
|
| 22 |
+
-0.9942188262939453
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.47,
|
| 25 |
+
"width": 0.8229103088378906,
|
| 26 |
+
"length": 0.5543556213378906,
|
| 27 |
+
"height": 0.6681251525878906
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_12.jpg"
|
| 32 |
+
}
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0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_13.json
ADDED
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{
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| 2 |
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"type": "depth_estimation",
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| 3 |
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"question": "Report the depth of the book (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
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"answer": "1.63",
|
| 5 |
+
"camera_name": "rand_062",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
1.1680464999382616,
|
| 8 |
+
-0.7034073190912127,
|
| 9 |
+
-0.4255131328083195
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.6347903070114391,
|
| 13 |
+
-1.4728648378672573,
|
| 14 |
+
-0.9080852575666725
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "book",
|
| 18 |
+
"id": "book_2",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.6573570370674133,
|
| 21 |
+
-2.5501480102539062,
|
| 22 |
+
-0.4692626893520355
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.63,
|
| 25 |
+
"width": 0.3348633050918579,
|
| 26 |
+
"length": 0.41513681411743164,
|
| 27 |
+
"height": 0.051806628704071045
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_13.jpg"
|
| 32 |
+
}
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0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_14.json
ADDED
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the shelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.39",
|
| 5 |
+
"camera_name": "rand_020",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.7037591953201373,
|
| 8 |
+
-0.718272168233749,
|
| 9 |
+
-0.41109346239104827
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.24488809921144772,
|
| 13 |
+
1.6295511300691152,
|
| 14 |
+
-0.5361422470056578
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "shelf",
|
| 18 |
+
"id": "shelf_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.8857706189155579,
|
| 21 |
+
0.734611988067627,
|
| 22 |
+
-0.4510498046875
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.39,
|
| 25 |
+
"width": 1.0848437547683716,
|
| 26 |
+
"length": 1.0363867282867432,
|
| 27 |
+
"height": 1.504638671875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_14.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_15.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the book (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
|
| 4 |
+
"answer": "2.22",
|
| 5 |
+
"camera_name": "rand_006",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.5771473168295401,
|
| 8 |
+
-1.3175779933543916,
|
| 9 |
+
-0.7566170476448053
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.9169026278412001,
|
| 13 |
+
0.7873493091891719,
|
| 14 |
+
-0.8971077453476332
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "book",
|
| 18 |
+
"id": "book_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.5308487415313721,
|
| 21 |
+
0.9819958806037903,
|
| 22 |
+
-0.20254638604819775
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.22,
|
| 25 |
+
"width": 0.451904296875,
|
| 26 |
+
"length": 0.48986339569091797,
|
| 27 |
+
"height": 0.5118994154036045
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_15.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_16.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 photo (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
|
| 4 |
+
"answer": "2.24",
|
| 5 |
+
"camera_name": "rand_051",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.5296281730316958,
|
| 8 |
+
0.6715865458116252,
|
| 9 |
+
-0.4664356021527256
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-1.0937283564786897,
|
| 13 |
+
-0.23175365592600472,
|
| 14 |
+
-0.6209999040045974
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_3",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.9069451689720154,
|
| 21 |
+
-1.4368290901184082,
|
| 22 |
+
-0.1190185546875
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.24,
|
| 25 |
+
"width": 0.42116212844848633,
|
| 26 |
+
"length": 0.41357421875,
|
| 27 |
+
"height": 0.215087890625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_16.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_17.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What depth value in meters corresponds to the bookshelf (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
|
| 4 |
+
"answer": "2.2",
|
| 5 |
+
"camera_name": "rand_038",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.2811781792541255,
|
| 8 |
+
-0.8493343420959873,
|
| 9 |
+
-0.5641272586839721
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.3640660943258025,
|
| 13 |
+
0.6182413398597877,
|
| 14 |
+
-0.6381168772505004
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "bookshelf",
|
| 18 |
+
"id": "bookshelf_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.313517451286316,
|
| 21 |
+
0.6787940263748169,
|
| 22 |
+
-0.4371338188648224
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.2,
|
| 25 |
+
"width": 1.473808765411377,
|
| 26 |
+
"length": 1.17041015625,
|
| 27 |
+
"height": 1.4363965392112732
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_17.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_18.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What depth value in meters corresponds to the photo (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
|
| 4 |
+
"answer": "1.0",
|
| 5 |
+
"camera_name": "rand_061",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.6971467375252866,
|
| 8 |
+
-0.31097115259028796,
|
| 9 |
+
-0.45995182506944765
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.8265625912916773,
|
| 13 |
+
0.5539412530140655,
|
| 14 |
+
-0.5877076483736388
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_6",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.3596031665802002,
|
| 21 |
+
0.6169655919075012,
|
| 22 |
+
-0.39179688692092896
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.0,
|
| 25 |
+
"width": 0.270263671875,
|
| 26 |
+
"length": 0.2228027582168579,
|
| 27 |
+
"height": 0.1683593988418579
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_18.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_19.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the book (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "0.52",
|
| 5 |
+
"camera_name": "rand_037",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.18026246252198483,
|
| 8 |
+
-1.584162713548229,
|
| 9 |
+
-0.44535557382250235
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.950244356610906,
|
| 13 |
+
-1.0434022789684025,
|
| 14 |
+
-1.1781412258261168
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "book",
|
| 18 |
+
"id": "book_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.7123234868049622,
|
| 21 |
+
-1.6936728954315186,
|
| 22 |
+
-0.8162841796875
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.52,
|
| 25 |
+
"width": 0.60400390625,
|
| 26 |
+
"length": 0.6007814407348633,
|
| 27 |
+
"height": 0.044189453125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_19.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_2.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the sunglasses (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "0.9",
|
| 5 |
+
"camera_name": "rand_034",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.06873393698242636,
|
| 8 |
+
-0.17862034861933412,
|
| 9 |
+
-0.6182904998442451
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.9521084407858205,
|
| 13 |
+
0.05397691707940011,
|
| 14 |
+
-1.056087475021078
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "sunglasses",
|
| 18 |
+
"id": "sunglasses_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.103621244430542,
|
| 21 |
+
-0.1855262666940689,
|
| 22 |
+
-0.626220703125
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.9,
|
| 25 |
+
"width": 0.19189453125,
|
| 26 |
+
"length": 0.32426752895116806,
|
| 27 |
+
"height": 0.1015625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_2.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_20.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the shelf (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "0.93",
|
| 5 |
+
"camera_name": "rand_032",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.284192922675115,
|
| 8 |
+
-0.10587135720617859,
|
| 9 |
+
-0.5205758140629522
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.315107054236295,
|
| 13 |
+
0.7130521589441567,
|
| 14 |
+
-0.6331600864492626
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "shelf",
|
| 18 |
+
"id": "shelf_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.8900377750396729,
|
| 21 |
+
0.6363433003425598,
|
| 22 |
+
-0.5077954083681107
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.93,
|
| 25 |
+
"width": 1.0875048637390137,
|
| 26 |
+
"length": 0.9253612756729126,
|
| 27 |
+
"height": 0.07522949576377869
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_20.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_21.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the book (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "0.52",
|
| 5 |
+
"camera_name": "rand_037",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.18026246252198483,
|
| 8 |
+
-1.584162713548229,
|
| 9 |
+
-0.44535557382250235
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.950244356610906,
|
| 13 |
+
-1.0434022789684025,
|
| 14 |
+
-1.1781412258261168
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "book",
|
| 18 |
+
"id": "book_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.7123234868049622,
|
| 21 |
+
-1.6936728954315186,
|
| 22 |
+
-0.8162841796875
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.52,
|
| 25 |
+
"width": 0.60400390625,
|
| 26 |
+
"length": 0.6007814407348633,
|
| 27 |
+
"height": 0.044189453125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_21.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_22.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Calculate the depth of the tissue box (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": "1.01",
|
| 5 |
+
"camera_name": "rand_036",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.3937222216657502,
|
| 8 |
+
0.08616888742931397,
|
| 9 |
+
-0.5913969405237585
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-1.0707375026220998,
|
| 13 |
+
0.09909866956674931,
|
| 14 |
+
-1.1154735835383907
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "tissue box",
|
| 18 |
+
"id": "tissue box_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.3447366952896118,
|
| 21 |
+
-0.7116829752922058,
|
| 22 |
+
-1.0291747748851776
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.01,
|
| 25 |
+
"width": 0.41841793060302734,
|
| 26 |
+
"length": 0.28137701749801636,
|
| 27 |
+
"height": 0.12516599893569946
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_22.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_23.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the desk (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "1.55",
|
| 5 |
+
"camera_name": "rand_015",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.1457808872957322,
|
| 8 |
+
-1.491911034797295,
|
| 9 |
+
-0.4356079937295594
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-1.1874100549683981,
|
| 13 |
+
-0.2602540321452209,
|
| 14 |
+
-0.6227717888787263
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "desk",
|
| 18 |
+
"id": "desk_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.1225066184997559,
|
| 21 |
+
-0.7050848007202148,
|
| 22 |
+
-1.3616747856140137
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.55,
|
| 25 |
+
"width": 0.5147509574890137,
|
| 26 |
+
"length": 0.7464404404163361,
|
| 27 |
+
"height": 0.5915136337280273
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_23.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_24.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 photo (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
|
| 4 |
+
"answer": "1.97",
|
| 5 |
+
"camera_name": "rand_048",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.1841579864870168,
|
| 8 |
+
-1.2945613028295921,
|
| 9 |
+
-0.6359284880871503
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.6237315060139061,
|
| 13 |
+
0.6253625016394899,
|
| 14 |
+
-0.7295127034144561
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.6066189408302307,
|
| 21 |
+
0.6712506413459778,
|
| 22 |
+
0.0865478515625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.97,
|
| 25 |
+
"width": 0.47509765625,
|
| 26 |
+
"length": 0.533203125,
|
| 27 |
+
"height": 0.397705078125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_24.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_25.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the book (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "1.98",
|
| 5 |
+
"camera_name": "rand_040",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.616662303696267,
|
| 8 |
+
-0.6527011484925835,
|
| 9 |
+
-0.5281970158801697
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.5110505755478629,
|
| 13 |
+
0.9113441866380323,
|
| 14 |
+
-0.6323931391471173
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "book",
|
| 18 |
+
"id": "book_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.5308487415313721,
|
| 21 |
+
0.9819958806037903,
|
| 22 |
+
-0.20254638604819775
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.98,
|
| 25 |
+
"width": 0.451904296875,
|
| 26 |
+
"length": 0.48986339569091797,
|
| 27 |
+
"height": 0.5118994154036045
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_25.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_26.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the bookshelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "2.11",
|
| 5 |
+
"camera_name": "rand_007",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.7474430276499611,
|
| 8 |
+
-0.9874959491868368,
|
| 9 |
+
-0.7007589900694631
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.2333614325811038,
|
| 13 |
+
0.7511991107162219,
|
| 14 |
+
-0.8016419535960484
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "bookshelf",
|
| 18 |
+
"id": "bookshelf_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.4178919792175293,
|
| 21 |
+
1.2878831624984741,
|
| 22 |
+
-0.8674560785293579
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.11,
|
| 25 |
+
"width": 0.2975097894668579,
|
| 26 |
+
"length": 0.3392578363418579,
|
| 27 |
+
"height": 0.555908203125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_26.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_27.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the light switch (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
|
| 4 |
+
"answer": "1.85",
|
| 5 |
+
"camera_name": "rand_056",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.36609971939760455,
|
| 8 |
+
-0.7455716769041889,
|
| 9 |
+
-0.4254729463554434
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.238163750081621,
|
| 13 |
+
0.704074897398625,
|
| 14 |
+
-0.5191283029867955
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "light switch",
|
| 18 |
+
"id": "light switch_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.21875233948230743,
|
| 21 |
+
1.5391556024551392,
|
| 22 |
+
0.10424316674470901
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.85,
|
| 25 |
+
"width": 0.09864257276058197,
|
| 26 |
+
"length": 0.11923825740814209,
|
| 27 |
+
"height": 0.20737303793430328
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_27.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_28.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the photo (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.74",
|
| 5 |
+
"camera_name": "rand_029",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
1.4043229034451077,
|
| 8 |
+
-1.1349112123383456,
|
| 9 |
+
-0.7257651450621905
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-1.3634493303236361,
|
| 13 |
+
-0.7523594621605434,
|
| 14 |
+
-1.0426801243023962
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_4",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.5285824537277222,
|
| 21 |
+
-1.7989171743392944,
|
| 22 |
+
-0.1226806640625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.74,
|
| 25 |
+
"width": 0.149169921875,
|
| 26 |
+
"length": 0.1455078125,
|
| 27 |
+
"height": 0.226806640625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_28.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_29.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "1.52",
|
| 5 |
+
"camera_name": "rand_050",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.33718128477306386,
|
| 8 |
+
-0.05693827538371782,
|
| 9 |
+
-0.5244140146707483
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.6768605750089178,
|
| 13 |
+
-2.57894838546958,
|
| 14 |
+
-0.6625691304171178
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_4",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.5285824537277222,
|
| 21 |
+
-1.7989171743392944,
|
| 22 |
+
-0.1226806640625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.52,
|
| 25 |
+
"width": 0.149169921875,
|
| 26 |
+
"length": 0.1455078125,
|
| 27 |
+
"height": 0.226806640625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_29.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_3.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the desk (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
|
| 4 |
+
"answer": "1.4",
|
| 5 |
+
"camera_name": "rand_031",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.41681740337718537,
|
| 8 |
+
-0.19562531283694817,
|
| 9 |
+
-0.45322720290190155
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.7864942389040965,
|
| 13 |
+
-2.293990644819421,
|
| 14 |
+
-0.6857762284513482
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "desk",
|
| 18 |
+
"id": "desk_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.6864579319953918,
|
| 21 |
+
-1.5303361415863037,
|
| 22 |
+
-0.92974853515625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.4,
|
| 25 |
+
"width": 1.574951171875,
|
| 26 |
+
"length": 1.461334228515625,
|
| 27 |
+
"height": 0.2105712890625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_3.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_30.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the poster (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "0.84",
|
| 5 |
+
"camera_name": "view_007",
|
| 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": "poster",
|
| 18 |
+
"id": "poster_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.6467678546905518,
|
| 21 |
+
0.619057834148407,
|
| 22 |
+
-0.04981689155101776
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.84,
|
| 25 |
+
"width": 0.7074951231479645,
|
| 26 |
+
"length": 0.783935546875,
|
| 27 |
+
"height": 0.6860107481479645
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_30.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_31.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the sunglasses (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "1.28",
|
| 5 |
+
"camera_name": "rand_048",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.1841579864870168,
|
| 8 |
+
-1.2945613028295921,
|
| 9 |
+
-0.6359284880871503
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.6237315060139061,
|
| 13 |
+
0.6253625016394899,
|
| 14 |
+
-0.7295127034144561
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "sunglasses",
|
| 18 |
+
"id": "sunglasses_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.103621244430542,
|
| 21 |
+
-0.1855262666940689,
|
| 22 |
+
-0.626220703125
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.28,
|
| 25 |
+
"width": 0.19189453125,
|
| 26 |
+
"length": 0.32426752895116806,
|
| 27 |
+
"height": 0.1015625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_31.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_32.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How far along the depth axis is the photo (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
|
| 4 |
+
"answer": "2.53",
|
| 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": "photo",
|
| 18 |
+
"id": "photo_7",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.7724186182022095,
|
| 21 |
+
-2.364161252975464,
|
| 22 |
+
-0.6786938607692719
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.53,
|
| 25 |
+
"width": 0.1777685284614563,
|
| 26 |
+
"length": 0.2727844715118408,
|
| 27 |
+
"height": 0.2685888409614563
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_32.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_33.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the box (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "2.04",
|
| 5 |
+
"camera_name": "view_002",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
8.36516284942627,
|
| 13 |
+
-4.829628944396973,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "box",
|
| 18 |
+
"id": "box_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.0544344186782837,
|
| 21 |
+
-2.069040298461914,
|
| 22 |
+
-0.6025123596191406
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.04,
|
| 25 |
+
"width": 1.111083984375,
|
| 26 |
+
"length": 0.9066311120986938,
|
| 27 |
+
"height": 0.44086456298828125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_33.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_34.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What depth value in meters corresponds to the bookshelf (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
|
| 4 |
+
"answer": "1.06",
|
| 5 |
+
"camera_name": "rand_061",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.6971467375252866,
|
| 8 |
+
-0.31097115259028796,
|
| 9 |
+
-0.45995182506944765
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.8265625912916773,
|
| 13 |
+
0.5539412530140655,
|
| 14 |
+
-0.5877076483736388
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "bookshelf",
|
| 18 |
+
"id": "bookshelf_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.313517451286316,
|
| 21 |
+
0.6787940263748169,
|
| 22 |
+
-0.4371338188648224
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.06,
|
| 25 |
+
"width": 1.473808765411377,
|
| 26 |
+
"length": 1.17041015625,
|
| 27 |
+
"height": 1.4363965392112732
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_34.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_35.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the shelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.41",
|
| 5 |
+
"camera_name": "rand_057",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.5881947238318923,
|
| 8 |
+
-0.6980416884438484,
|
| 9 |
+
-0.6758001612888056
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.283957155707639,
|
| 13 |
+
0.7848652266537568,
|
| 14 |
+
-0.7720081160735341
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "shelf",
|
| 18 |
+
"id": "shelf_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.8857706189155579,
|
| 21 |
+
0.734611988067627,
|
| 22 |
+
-0.4510498046875
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.41,
|
| 25 |
+
"width": 1.0848437547683716,
|
| 26 |
+
"length": 1.0363867282867432,
|
| 27 |
+
"height": 1.504638671875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_35.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_36.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the bookshelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.87",
|
| 5 |
+
"camera_name": "rand_059",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.2631616627525142,
|
| 8 |
+
-0.580682953877021,
|
| 9 |
+
-0.5740702309338481
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.19889487097442965,
|
| 13 |
+
1.5725767639837775,
|
| 14 |
+
-0.6573009021870442
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "bookshelf",
|
| 18 |
+
"id": "bookshelf_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.4178919792175293,
|
| 21 |
+
1.2878831624984741,
|
| 22 |
+
-0.8674560785293579
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.87,
|
| 25 |
+
"width": 0.2975097894668579,
|
| 26 |
+
"length": 0.3392578363418579,
|
| 27 |
+
"height": 0.555908203125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_36.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_37.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.83",
|
| 5 |
+
"camera_name": "rand_008",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.05614492198450392,
|
| 8 |
+
-0.4997353577736152,
|
| 9 |
+
-0.6581116323088816
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.22269631195972175,
|
| 13 |
+
-1.2899487941118342,
|
| 14 |
+
-0.9896460924940861
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_7",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.7724186182022095,
|
| 21 |
+
-2.364161252975464,
|
| 22 |
+
-0.6786938607692719
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.83,
|
| 25 |
+
"width": 0.1777685284614563,
|
| 26 |
+
"length": 0.2727844715118408,
|
| 27 |
+
"height": 0.2685888409614563
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_37.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_38.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How far along the depth axis is the desk (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
|
| 4 |
+
"answer": "1.48",
|
| 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": "desk",
|
| 18 |
+
"id": "desk_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.1225066184997559,
|
| 21 |
+
-0.7050848007202148,
|
| 22 |
+
-1.3616747856140137
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.48,
|
| 25 |
+
"width": 0.5147509574890137,
|
| 26 |
+
"length": 0.7464404404163361,
|
| 27 |
+
"height": 0.5915136337280273
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_38.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_39.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What depth value in meters corresponds to the cable (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
|
| 4 |
+
"answer": "2.54",
|
| 5 |
+
"camera_name": "view_002",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
8.36516284942627,
|
| 13 |
+
-4.829628944396973,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "cable",
|
| 18 |
+
"id": "cable_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.309485673904419,
|
| 21 |
+
-1.9137613773345947,
|
| 22 |
+
-1.9972851276397705
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.54,
|
| 25 |
+
"width": 0.39283204078674316,
|
| 26 |
+
"length": 0.3947265148162842,
|
| 27 |
+
"height": 0.304140567779541
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_39.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_4.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the chair (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "1.47",
|
| 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": "chair",
|
| 18 |
+
"id": "chair_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.19375702738761902,
|
| 21 |
+
-1.3398154973983765,
|
| 22 |
+
-0.9942188262939453
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.47,
|
| 25 |
+
"width": 0.8229103088378906,
|
| 26 |
+
"length": 0.5543556213378906,
|
| 27 |
+
"height": 0.6681251525878906
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_4.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_40.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the cable (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
|
| 4 |
+
"answer": "2.75",
|
| 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": "cable",
|
| 18 |
+
"id": "cable_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.309485673904419,
|
| 21 |
+
-1.9137613773345947,
|
| 22 |
+
-1.9972851276397705
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.75,
|
| 25 |
+
"width": 0.39283204078674316,
|
| 26 |
+
"length": 0.3947265148162842,
|
| 27 |
+
"height": 0.304140567779541
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_40.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_41.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the depth of the light switch (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": "1.46",
|
| 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": "light switch",
|
| 18 |
+
"id": "light switch_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.21875233948230743,
|
| 21 |
+
1.5391556024551392,
|
| 22 |
+
0.10424316674470901
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.46,
|
| 25 |
+
"width": 0.09864257276058197,
|
| 26 |
+
"length": 0.11923825740814209,
|
| 27 |
+
"height": 0.20737303793430328
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_41.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_42.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "0.74",
|
| 5 |
+
"camera_name": "rand_049",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.7990309878721014,
|
| 8 |
+
-0.653632030293323,
|
| 9 |
+
-0.4226094158205438
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.7472331768917593,
|
| 13 |
+
-1.5766981066317554,
|
| 14 |
+
-0.512541783379806
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_3",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.9069451689720154,
|
| 21 |
+
-1.4368290901184082,
|
| 22 |
+
-0.1190185546875
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.74,
|
| 25 |
+
"width": 0.42116212844848633,
|
| 26 |
+
"length": 0.41357421875,
|
| 27 |
+
"height": 0.215087890625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_42.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_43.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "2.15",
|
| 5 |
+
"camera_name": "rand_051",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.5296281730316958,
|
| 8 |
+
0.6715865458116252,
|
| 9 |
+
-0.4664356021527256
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-1.0937283564786897,
|
| 13 |
+
-0.23175365592600472,
|
| 14 |
+
-0.6209999040045974
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.759278416633606,
|
| 21 |
+
-1.5729814767837524,
|
| 22 |
+
0.2860107421875
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.15,
|
| 25 |
+
"width": 0.686767578125,
|
| 26 |
+
"length": 0.6591796875,
|
| 27 |
+
"height": 0.230224609375
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_43.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_44.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the pegboard (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.5",
|
| 5 |
+
"camera_name": "rand_013",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.016549890608337448,
|
| 8 |
+
0.1440916444847325,
|
| 9 |
+
-0.49927500927235524
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.02219455422244028,
|
| 13 |
+
-1.9032446968616727,
|
| 14 |
+
-0.9840257278513099
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "pegboard",
|
| 18 |
+
"id": "pegboard_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.7868868708610535,
|
| 21 |
+
-1.5548685789108276,
|
| 22 |
+
0.0830078125
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.5,
|
| 25 |
+
"width": 0.762939453125,
|
| 26 |
+
"length": 0.731689453125,
|
| 27 |
+
"height": 0.85791015625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_44.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_45.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the pegboard (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
|
| 4 |
+
"answer": "2.18",
|
| 5 |
+
"camera_name": "rand_051",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.5296281730316958,
|
| 8 |
+
0.6715865458116252,
|
| 9 |
+
-0.4664356021527256
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-1.0937283564786897,
|
| 13 |
+
-0.23175365592600472,
|
| 14 |
+
-0.6209999040045974
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "pegboard",
|
| 18 |
+
"id": "pegboard_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.7868868708610535,
|
| 21 |
+
-1.5548685789108276,
|
| 22 |
+
0.0830078125
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.18,
|
| 25 |
+
"width": 0.762939453125,
|
| 26 |
+
"length": 0.731689453125,
|
| 27 |
+
"height": 0.85791015625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_45.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_46.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "1.32",
|
| 5 |
+
"camera_name": "view_010",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-8.36516284942627,
|
| 13 |
+
-4.829628944396973,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.759278416633606,
|
| 21 |
+
-1.5729814767837524,
|
| 22 |
+
0.2860107421875
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.32,
|
| 25 |
+
"width": 0.686767578125,
|
| 26 |
+
"length": 0.6591796875,
|
| 27 |
+
"height": 0.230224609375
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_46.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_5.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What depth value in meters corresponds to the photo (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
|
| 4 |
+
"answer": "2.03",
|
| 5 |
+
"camera_name": "rand_047",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.5498088304162881,
|
| 8 |
+
-1.5776361402869925,
|
| 9 |
+
-0.45676707025241603
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.9340973377120081,
|
| 13 |
+
0.9236784218457053,
|
| 14 |
+
-0.5518582920914659
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.6066189408302307,
|
| 21 |
+
0.6712506413459778,
|
| 22 |
+
0.0865478515625
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.03,
|
| 25 |
+
"width": 0.47509765625,
|
| 26 |
+
"length": 0.533203125,
|
| 27 |
+
"height": 0.397705078125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_5.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_6.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "1.98",
|
| 5 |
+
"camera_name": "rand_022",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.530939115608361,
|
| 8 |
+
-0.4113163434312497,
|
| 9 |
+
-0.6948838673475706
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.8234193397922187,
|
| 13 |
+
0.7643172969456813,
|
| 14 |
+
-0.7936536781734655
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_2",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.9540694952011108,
|
| 21 |
+
0.9343600273132324,
|
| 22 |
+
-0.3493652194738388
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.98,
|
| 25 |
+
"width": 0.5647362470626831,
|
| 26 |
+
"length": 0.45330071449279785,
|
| 27 |
+
"height": 1.5678026974201202
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_6.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_7.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Calculate the depth of the poster (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": "1.97",
|
| 5 |
+
"camera_name": "rand_047",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.5498088304162881,
|
| 8 |
+
-1.5776361402869925,
|
| 9 |
+
-0.45676707025241603
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.9340973377120081,
|
| 13 |
+
0.9236784218457053,
|
| 14 |
+
-0.5518582920914659
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "poster",
|
| 18 |
+
"id": "poster_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.6467678546905518,
|
| 21 |
+
0.619057834148407,
|
| 22 |
+
-0.04981689155101776
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.97,
|
| 25 |
+
"width": 0.7074951231479645,
|
| 26 |
+
"length": 0.783935546875,
|
| 27 |
+
"height": 0.6860107481479645
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_7.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_8.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the depth of the photo (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_007",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.7474430276499611,
|
| 8 |
+
-0.9874959491868368,
|
| 9 |
+
-0.7007589900694631
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.2333614325811038,
|
| 13 |
+
0.7511991107162219,
|
| 14 |
+
-0.8016419535960484
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "photo",
|
| 18 |
+
"id": "photo_6",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.3596031665802002,
|
| 21 |
+
0.6169655919075012,
|
| 22 |
+
-0.39179688692092896
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.69,
|
| 25 |
+
"width": 0.270263671875,
|
| 26 |
+
"length": 0.2228027582168579,
|
| 27 |
+
"height": 0.1683593988418579
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_8.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_9.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
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|
|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the desk (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.57",
|
| 5 |
+
"camera_name": "rand_033",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.008958261562872244,
|
| 8 |
+
-0.14596130374573224,
|
| 9 |
+
-0.4262370698192457
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.7162068703059106,
|
| 13 |
+
-2.3902215938719182,
|
| 14 |
+
-0.7089519898320822
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "desk",
|
| 18 |
+
"id": "desk_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.6864579319953918,
|
| 21 |
+
-1.5303361415863037,
|
| 22 |
+
-0.92974853515625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.57,
|
| 25 |
+
"width": 1.574951171875,
|
| 26 |
+
"length": 1.461334228515625,
|
| 27 |
+
"height": 0.2105712890625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_9.jpg"
|
| 32 |
+
}
|
0239_txt_b72ba4077d48/tasks/003_object_distance/question_1.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "How many meters separate photo (blue point) and photo (red point)? Calculate or judge based on the 3D center points of these objects. Reply with a number only.",
|
| 4 |
+
"answer": "0.52",
|
| 5 |
+
"camera_name": "view_003",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
9.659257888793945,
|
| 13 |
+
-5.914589666286812e-16,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
+
"circle_color": "blue",
|
| 18 |
+
"label": "photo",
|
| 19 |
+
"id": "photo_2",
|
| 20 |
+
"centroid": [
|
| 21 |
+
0.9540694952011108,
|
| 22 |
+
0.9343600273132324,
|
| 23 |
+
-0.3493652194738388
|
| 24 |
+
],
|
| 25 |
+
"distance_to_camera": 1.380338117597312,
|
| 26 |
+
"width": 0.5647362470626831,
|
| 27 |
+
"length": 0.45330071449279785,
|
| 28 |
+
"height": 1.5678026974201202
|
| 29 |
+
},
|
| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "photo",
|
| 33 |
+
"id": "photo_6",
|
| 34 |
+
"centroid": [
|
| 35 |
+
1.3596031665802002,
|
| 36 |
+
0.6169655919075012,
|
| 37 |
+
-0.39179688692092896
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 1.5435906558325663,
|
| 40 |
+
"width": 0.270263671875,
|
| 41 |
+
"length": 0.2228027582168579,
|
| 42 |
+
"height": 0.1683593988418579
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_1.jpg"
|
| 47 |
+
}
|
0239_txt_b72ba4077d48/tasks/003_object_distance/question_12.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "How far apart are photo (blue point) and cable (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
|
| 4 |
+
"answer": "2.63",
|
| 5 |
+
"camera_name": "rand_050",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.33718128477306386,
|
| 8 |
+
-0.05693827538371782,
|
| 9 |
+
-0.5244140146707483
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.6768605750089178,
|
| 13 |
+
-2.57894838546958,
|
| 14 |
+
-0.6625691304171178
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
+
"circle_color": "blue",
|
| 18 |
+
"label": "photo",
|
| 19 |
+
"id": "photo_4",
|
| 20 |
+
"centroid": [
|
| 21 |
+
-0.5285824537277222,
|
| 22 |
+
-1.7989171743392944,
|
| 23 |
+
-0.1226806640625
|
| 24 |
+
],
|
| 25 |
+
"distance_to_camera": 1.797919513458437,
|
| 26 |
+
"width": 0.149169921875,
|
| 27 |
+
"length": 0.1455078125,
|
| 28 |
+
"height": 0.226806640625
|
| 29 |
+
},
|
| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "cable",
|
| 33 |
+
"id": "cable_0",
|
| 34 |
+
"centroid": [
|
| 35 |
+
1.309485673904419,
|
| 36 |
+
-1.9137613773345947,
|
| 37 |
+
-1.9972851276397705
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 2.8859406473725744,
|
| 40 |
+
"width": 0.39283204078674316,
|
| 41 |
+
"length": 0.3947265148162842,
|
| 42 |
+
"height": 0.304140567779541
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_12.jpg"
|
| 47 |
+
}
|
0239_txt_b72ba4077d48/tasks/003_object_distance/question_13.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "Report the Euclidean distance in meters from sunglasses (blue point) to photo (red point). Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.22",
|
| 5 |
+
"camera_name": "view_008",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-8.36516284942627,
|
| 13 |
+
4.829628944396973,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
+
"circle_color": "blue",
|
| 18 |
+
"label": "sunglasses",
|
| 19 |
+
"id": "sunglasses_0",
|
| 20 |
+
"centroid": [
|
| 21 |
+
-1.103621244430542,
|
| 22 |
+
-0.1855262666940689,
|
| 23 |
+
-0.626220703125
|
| 24 |
+
],
|
| 25 |
+
"distance_to_camera": 1.2824009575067488,
|
| 26 |
+
"width": 0.19189453125,
|
| 27 |
+
"length": 0.32426752895116806,
|
| 28 |
+
"height": 0.1015625
|
| 29 |
+
},
|
| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "photo",
|
| 33 |
+
"id": "photo_1",
|
| 34 |
+
"centroid": [
|
| 35 |
+
-0.6066189408302307,
|
| 36 |
+
0.6712506413459778,
|
| 37 |
+
0.0865478515625
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 0.908875400421566,
|
| 40 |
+
"width": 0.47509765625,
|
| 41 |
+
"length": 0.533203125,
|
| 42 |
+
"height": 0.397705078125
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0239_txt_b72ba4077d48",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_13.jpg"
|
| 47 |
+
}
|