PointcloudEpisodeFrameCollection¶

class PointcloudEpisodeFrameCollection[source]¶

Bases: supervisely.video_annotation.frame_collection.FrameCollection

Collection with PointcloudEpisodeFrame instances. PointcloudEpisodeFrameCollection object is immutable.

Usage example

import supervisely as sly
from supervisely.geometry.cuboid_3d import Cuboid3d, Vector3d
from supervisely.pointcloud_annotation.pointcloud_episode_object_collection import PointcloudEpisodeObjectCollection

# Create pointcloud object
obj_class_car = sly.ObjClass('car', Cuboid3d)
pointcloud_obj_car = sly.PointcloudEpisodeObject(obj_class_car)
objects = PointcloudEpisodeObjectCollection([pointcloud_obj_car])

# Create two figures
frame_index_1 = 7
position_1, rotation_1, dimension_1 = Vector3d(-3.4, 28.9, -0.7), Vector3d(0., 0, -0.03), Vector3d(1.8, 3.9, 1.6)
cuboid_1 = Cuboid3d(position_1, rotation_1, dimension_1)

frame_index_2 = 10
position_2, rotation_2, dimension_2 = Vector3d(-3.4, 28.9, -0.7), Vector3d(0., 0, -0.03), Vector3d(1.8, 3.9, 1.6)
cuboid_2 = Cuboid3d(position_2, rotation_2, dimension_2)

figure_1 = sly.PointcloudFigure(pointcloud_obj_car, cuboid_1, frame_index=frame_index_1)
figure_2 = sly.PointcloudFigure(pointcloud_obj_car, cuboid_2, frame_index=frame_index_2)

# Create two frames for collection
frame_1 = sly.PointcloudEpisodeFrame(frame_index_1, figures=[figure_1])
frame_2 = sly.PointcloudEpisodeFrame(frame_index_2, figures=[figure_2])

# Create PointcloudEpisodeFrameCollection
pcd_episodes_fr_collection = sly.PointcloudEpisodeFrameCollection([frame_1, frame_2])

print(pcd_episodes_fr_collection.to_json())
# Output: [
#     {
#         "figures": [
#         {
#             "geometry": {
#             "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
#             "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
#             "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
#             },
#             "geometryType": "cuboid_3d",
#             "key": "c9fb727a9b53432fa0316d0a5b6043bc",
#             "objectKey": "0fc681681b1f4b12909ccf685c53b43e"
#         }
#         ],
#         "index": 7
#     },
#     {
#         "figures": [
#         {
#             "geometry": {
#             "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
#             "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
#             "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
#             },
#             "geometryType": "cuboid_3d",
#             "key": "c3df69c90fa14cf284906ebad1c360ae",
#             "objectKey": "0fc681681b1f4b12909ccf685c53b43e"
#         }
#         ],
#         "index": 10
#     }
# ]


# Add item to PointcloudEpisodeFrameCollection
frame_index_3 = 13
frame_3 = sly.PointcloudEpisodeFrame(frame_index_3)
# Remember that PointcloudEpisodeFrameCollection is immutable, and we need to assign new instance of PointcloudEpisodeFrameCollection to a new variable
new_pcd_episodes_fr_collection = pcd_episodes_fr_collection.add(frame_3)
print(new_pcd_episodes_fr_collection.to_json())
# Output: [
#     {
#         "figures": [
#         {
#             "geometry": {
#             "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
#             "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
#             "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
#             },
#             "geometryType": "cuboid_3d",
#             "key": "d16c2bf646664007bd22bcf2996710ed",
#             "objectKey": "e09431246cc24231a9d76b9ba55ce4e7"
#         }
#         ],
#         "index": 7
#     },
#     {
#         "figures": [
#         {
#             "geometry": {
#             "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
#             "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
#             "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
#             },
#             "geometryType": "cuboid_3d",
#             "key": "9f915e2d4342408ab0d4517f485f9950",
#             "objectKey": "e09431246cc24231a9d76b9ba55ce4e7"
#         }
#         ],
#         "index": 10
#     },
#     { "figures": [], "index": 13 }
# ]


# You can also add multiple items to collection
frame_3 = sly.PointcloudEpisodeFrame(12)
frame_4 = sly.PointcloudEpisodeFrame(15)
# Remember that PointcloudEpisodeFrameCollection is immutable, and we need to assign new instance of PointcloudEpisodeFrameCollection to a new variable
new_pcd_episodes_fr_collection = pcd_episodes_fr_collection.add_items([frame_3, frame_4])
print(new_pcd_episodes_fr_collection.to_json())
# Output: [
#     {
#         "figures": [
#         {
#             "geometry": {
#             "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
#             "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
#             "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
#             },
#             "geometryType": "cuboid_3d",
#             "key": "df14bb10e76c4b4093a137f4ea01e3ba",
#             "objectKey": "a83a21ef7b734bb9949ddf132b42d1f0"
#         }
#         ],
#         "index": 7
#     },
#     {
#         "figures": [
#         {
#             "geometry": {
#             "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
#             "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
#             "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
#             },
#             "geometryType": "cuboid_3d",
#             "key": "6f86a1859da34415a37896ec2c972b47",
#             "objectKey": "a83a21ef7b734bb9949ddf132b42d1f0"
#         }
#         ],
#         "index": 10
#     },
#     { "figures": [], "index": 12 },
#     { "figures": [], "index": 15 }
# ]


# Has key, checks if given key exist in point cloud episodes frame collection
pcd_episodes_fr_collection.has_key(10) # True
pcd_episodes_fr_collection.has_key(22) # False


# Intersection, finds intersection of given list of instances with collection items
frame_1 = sly.PointcloudEpisodeFrame(1)
frame_2 = sly.PointcloudEpisodeFrame(2)
pcd_episodes_fr_collection = sly.PointcloudEpisodeFrameCollection([frame_1, frame_2])

frame_3 = sly.PointcloudEpisodeFrame(3)

frames_intersections = pcd_episodes_fr_collection.intersection([frame_3])
print(frames_intersections.to_json())
# Output: []

frames_intersections = pcd_episodes_fr_collection.intersection([frame_2])
print(frames_intersections.to_json())
# Output: [
#     {
#         "index": 2,
#         "figures": []
#     }
# ]

# Note, two frames with the same index values are not equal
frame_4 = sly.PointcloudEpisodeFrame(2)
frames_intersections = pcd_episodes_fr_collection.intersection([frame_4])
# Output:
# ValueError: Different values for the same key 2

# Difference, finds difference between collection and given list of PointcloudEpisodeFrame
frames_difference = pcd_episodes_fr_collection.difference([frame_2])
print(frames_difference.to_json())
# Output: [
#     {
#         "index": 1,
#         "figures": []
#     }
# ]

# Merge, merges collection and given list of PointcloudEpisodeFrameCollection
frame_3 = sly.PointcloudEpisodeFrame(3)
frame_4 = sly.PointcloudEpisodeFrame(4)
over_collection = sly.PointcloudEpisodeFrameCollection([frame_3, frame_4])
merged_collection = pcd_episodes_fr_collection.merge(over_collection)
print(merged_collection.to_json())
# Output: [
#     { "index": 3, "figures": [] },
#     { "index": 4, "figures": [] },
#     { "index": 1, "figures": [] },
#     { "index": 2, "figures": [] }
# ]

Methods

add	Add given item to collection.
add_items	Add items from given list to collection.
clone	Makes a copy of KeyIndexedCollection with new fields, if fields are given, otherwise it will use fields of the original KeyIndexedCollection.
difference	Find difference between collection and given list of instances.
from_json	Convert a list of json dicts to PointcloudEpisodeFrameCollection.
get	Get a PointcloudEpisodeFrame by its key and set default value if it does not exist.
get_figures_and_keys	Get figures from all frames in collection in json format, keys from all figures in frames in collection.
has_key	Check if given key(item name exist in collection).
intersection	Find intersection of given list of instances with collection items.
items	Get list of all items in collection.
keys	Get list of all keys(item names) in collection.
merge	Merge collection and other KeyIndexedCollection object.
remove_items	Remove items from collection by given list of keys.
to_json	Convert the FrameCollection to a list of json dicts.

Attributes

figures

Get figures from all frames in collection.

item_type¶

alias of supervisely.pointcloud_annotation.pointcloud_episode_frame.PointcloudEpisodeFrame

add(item)¶

Add given item to collection.

Parameters

item : KeyObject

ObjClassCollection, TagMetaCollection or TagCollection object.

Returns

New instance of KeyIndexedCollection

Return type

KeyIndexedCollection

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_cat, item_turtle])
# Remember that KeyIndexedCollection object is immutable, and we need to assign new instance of KeyIndexedCollection to a new variable
item_dog = sly.ObjClass('dog', sly.Rectangle)
new_collection = collection.add(item_dog)

add_items(items)¶

Add items from given list to collection.

Parameters

items : List[KeyObject]

List of ObjClassCollection, TagMetaCollection or TagCollection objects.

Returns

New instance of KeyIndexedCollection

Return type

KeyIndexedCollection

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_cat, item_turtle])
# Remember that KeyIndexedCollection object is immutable, and we need to assign new instance of KeyIndexedCollection to a new variable
item_dog = sly.ObjClass('dog', sly.Rectangle)
item_mouse = sly.ObjClass('mouse', sly.Bitmap)
new_collection = collection.add_items([item_dog, item_mouse])

clone(items=None)¶

Makes a copy of KeyIndexedCollection with new fields, if fields are given, otherwise it will use fields of the original KeyIndexedCollection.

Parameters

items : List[KeyObject], optional

List of ObjClassCollection, TagMetaCollection or TagCollection objects.

Returns

New instance of KeyIndexedCollection

Return type

KeyIndexedCollection

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_cat, item_turtle])
# Remember that KeyIndexedCollection object is immutable, and we need to assign new instance of KeyIndexedCollection to a new variable
new_collection = collection.clone()

difference(other)¶

Find difference between collection and given list of instances.

Parameters

key : List[KeyObject]

List of ObjClassCollection, TagMetaCollection or TagCollection objects.

Returns

KeyIndexedCollection object

Return type

KeyIndexedCollection

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_cat, item_turtle])

item_dog = sly.TagMeta('dog', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
items = [item_dog, item_turtle]

diff = collection.difference(items)
print(diff.to_json())
# Output: [
#     {
#         "name": "cat",
#         "value_type": "none",
#         "color": "#8A150F",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     }
# ]

classmethod from_json(data, objects, frames_count=None, key_id_map=None)[source]¶

Convert a list of json dicts to PointcloudEpisodeFrameCollection. Read more about Supervisely format.

Parameters

data : List[dict]

List with dicts in json format.

objects : PointcloudEpisodeObjectCollection

PointcloudEpisodeObjectCollection object.

frames_count : int, optional

Number of frames in point cloud episodes.

key_id_map : KeyIdMap, optional

KeyIdMap object.

Returns

FrameCollection object

Return type

FrameCollection

Usage example

import supervisely as sly

fr_collection_json = [
    {
        "figures": [
        {
            "geometry": {
            "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
            "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
            "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
            },
            "geometryType": "cuboid_3d",
            "key": "c9fb727a9b53432fa0316d0a5b6043bc",
            "objectKey": "0fc681681b1f4b12909ccf685c53b43e"
        }
        ],
        "index": 7
    },
    {
        "figures": [
        {
            "geometry": {
            "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
            "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
            "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
            },
            "geometryType": "cuboid_3d",
            "key": "c3df69c90fa14cf284906ebad1c360ae",
            "objectKey": "0fc681681b1f4b12909ccf685c53b43e"
        }
        ],
        "index": 10
    }
]

objects = []
fr_collection = sly.PointcloudEpisodeFrameCollection.from_json(fr_collection_json, objects)

get(key, default=None)[source]¶

Get a PointcloudEpisodeFrame by its key and set default value if it does not exist.

Parameters

key : str

Key of the PointcloudEpisodeFrame.

default : Optional[Any]

Default value to return if the key is not found (default: None).

Returns

PointcloudEpisodeFrame object.

Return type

PointcloudEpisodeFrame

Usage example

frame_1 = sly.PointcloudEpisodeFrame(1)
frame_2 = sly.PointcloudEpisodeFrame(2)


pcd_episodes_fr_collection = sly.PointcloudEpisodeFrameCollection([frame_1, frame_2])
print(pcd_episodes_fr_collection.get(2).to_json())
# Output: {'index': 2, 'figures': []}

get_figures_and_keys(key_id_map)¶

Get figures from all frames in collection in json format, keys from all figures in frames in collection.

Parameters

key_id_map : KeyIdMap

KeyIdMap object.

Returns

Figures from all frames in collection in json format, keys from all figures in frames in collection

Return type

Tuple[list, list]

Usage example

import supervisely as sly
from supervisely.video_annotation.key_id_map import KeyIdMap

key_id_map = KeyIdMap()

fr_index_1 = 7
geometry = sly.Rectangle(0, 0, 100, 100)
obj_class_car = sly.ObjClass('car', sly.Rectangle)
video_object_car = sly.VideoObject(obj_class_car)
video_figure_car = sly.VideoFigure(video_object_car, geometry, fr_index_1)
frame_1 = sly.Frame(fr_index_1, figures=[video_figure_car])

fr_index_2 = 10
geometry = sly.Rectangle(0, 0, 500, 600)
obj_class_bus = sly.ObjClass('bus', sly.Rectangle)
video_object_bus = sly.VideoObject(obj_class_bus)
video_figure_bus = sly.VideoFigure(video_object_bus, geometry, fr_index_2)
frame_2 = sly.Frame(fr_index_2, figures=[video_figure_bus])

fr_collection = sly.FrameCollection([frame_1, frame_2])
figures, keys = fr_collection.get_figures_and_keys(key_id_map)
print(keys) # [UUID('0ac041b2-314e-4f6b-9d38-704b341fb383'), UUID('88aa1cb3-b1e3-480f-8ace-6346c9a9daba')]

print(figures)
# Output: [
#     {
#         "key": "a8cae05d6b8c4a67b18004130941fdec",
#         "objectKey": "cc9a9475d360481c9753f8ac3c63f8b7",
#         "geometryType": "rectangle",
#         "geometry": {
#             "points": {
#                 "exterior": [
#                     [
#                         0,
#                         0
#                     ],
#                     [
#                         100,
#                         100
#                     ]
#                 ],
#                 "interior": []
#             }
#         },
#         "meta": {
#             "frame": 7
#         }
#     },
#     {
#         "key": "6e00287acc4644dfb21d67406534080b",
#         "objectKey": "cad78d53ffc84e69a28f5f8941be9021",
#         "geometryType": "rectangle",
#         "geometry": {
#             "points": {
#                 "exterior": [
#                     [
#                         0,
#                         0
#                     ],
#                     [
#                         600,
#                         500
#                     ]
#                 ],
#                 "interior": []
#             }
#         },
#         "meta": {
#             "frame": 10
#         }
#     }
# ]

has_key(key)¶

Check if given key(item name exist in collection).

Parameters

key : str

The key to look for in the collection.

Returns

Is the key in the collection or not

Return type

bool

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_cat, item_turtle])

collection.has_key('cat') # True
collection.has_key('hamster') # False

intersection(other)¶

Find intersection of given list of instances with collection items.

Parameters

key : List[KeyObject]

List of ObjClassCollection, TagMetaCollection or TagCollection objects.

Raises

ValueError if find items with same keys(item names)

Returns

KeyIndexedCollection object

Return type

KeyIndexedCollection

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_cat, item_turtle])

item_dog = sly.TagMeta('dog', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
items = [item_dog, item_turtle]

intersection = collection.intersection(items)
print(intersection.to_json())
# Output: [
#     {
#         "name": "turtle",
#         "value_type": "any_string",
#         "color": "#760F8A",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     }
# ]

items()¶

Get list of all items in collection.

Returns

List of ObjClassCollection, TagMetaCollection or TagCollection objects

Return type

List[KeyObject]

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_cat, item_turtle])
items = collection.items()
print(items)
# Output:
# [<supervisely.annotation.tag_meta.TagMeta object at 0x7fd08eae4340>,
#  <supervisely.annotation.tag_meta.TagMeta object at 0x7fd08eae4370>]

keys()¶

Get list of all keys(item names) in collection.

Returns

List of collection keys

Return type

List[str]

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_cat, item_turtle])
keys = collection.keys() # ['cat', 'turtle']

merge(other)¶

Merge collection and other KeyIndexedCollection object.

Parameters

key : KeyIndexedCollection

KeyIndexedCollection object.

Raises

ValueError if item name from given list is in collection but items in both are different

Returns

KeyIndexedCollection object

Return type

KeyIndexedCollection

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_cat, item_turtle])

item_dog = sly.TagMeta('dog', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
other_collection = sly.collection.key_indexed_collection.KeyIndexedCollection([item_dog, item_turtle])

merge = collection.merge(other_collection)
print(merge.to_json())
# Output: [
#     {
#         "name": "dog",
#         "value_type": "none",
#         "color": "#8A6C0F",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     },
#     {
#         "name": "cat",
#         "value_type": "none",
#         "color": "#0F4A8A",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     },
#     {
#         "name": "turtle",
#         "value_type": "any_string",
#         "color": "#4F0F8A",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     }
# ]

remove_items(keys)¶

Remove items from collection by given list of keys. Creates a new instance of KeyIndexedCollection.

Parameters

keys : List[str]

List of keys(item names) in collection.

Returns

New instance of KeyIndexedCollection

Return type

KeyIndexedCollection

to_json(key_id_map=None)¶

Convert the FrameCollection to a list of json dicts. Read more about Supervisely format.

Parameters

key_id_map : KeyIdMap, optional

KeyIdMap object.

Returns

List of dicts in json format

Return type

List[dict]

Usage example

import supervisely as sly

frame_1 = sly.Frame(7)
frame_2 = sly.Frame(10)

# Create FrameCollection
fr_collection = sly.FrameCollection([frame_1, frame_2])
print(fr_collection.to_json())
# Output: [
#     {
#         "index": 7,
#         "figures": []
#     },
#     {
#         "index": 10,
#         "figures": []
#     }
# ]

property figures¶

Get figures from all frames in collection.

Returns

List of figures from all frames in collection

Return type

List[PointcloudFigure]

Usage example

import supervisely as sly
from supervisely.geometry.cuboid_3d import Cuboid3d, Vector3d
from supervisely.pointcloud_annotation.pointcloud_episode_object_collection import PointcloudEpisodeObjectCollection

# Create pointcloud object
obj_class_car = sly.ObjClass('car', Cuboid3d)
pointcloud_obj_car = sly.PointcloudEpisodeObject(obj_class_car)
objects = PointcloudEpisodeObjectCollection([pointcloud_obj_car])

# Create two figures
frame_index_1 = 7
position_1, rotation_1, dimension_1 = Vector3d(-3.4, 28.9, -0.7), Vector3d(0., 0, -0.03), Vector3d(1.8, 3.9, 1.6)
cuboid_1 = Cuboid3d(position_1, rotation_1, dimension_1)

frame_index_2 = 10
position_2, rotation_2, dimension_2 = Vector3d(-3.4, 28.9, -0.7), Vector3d(0., 0, -0.03), Vector3d(1.8, 3.9, 1.6)
cuboid_2 = Cuboid3d(position_2, rotation_2, dimension_2)

figure_1 = sly.PointcloudFigure(pointcloud_obj_car, cuboid_1, frame_index=frame_index_1)
figure_1 = sly.PointcloudFigure(pointcloud_obj_car, cuboid_2, frame_index=frame_index_2)

# Create two frames for collection
frame_1 = sly.PointcloudEpisodeFrame(frame_index_1, figures=[figure_1])
frame_2 = sly.PointcloudEpisodeFrame(frame_index_2, figures=[figure_2])

# Create PointcloudEpisodeFrameCollection
pcd_episodes_fr_collection = sly.PointcloudEpisodeFrameCollection([frame_1, frame_2])

print([figure.to_json() for figure in pcd_episodes_fr_collection.figures])
# Output: [
#     {
#         "geometry": {
#         "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
#         "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
#         "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
#         },
#         "geometryType": "cuboid_3d",
#         "key": "e35386df7c994485ba7186e1a8c67361",
#         "objectKey": "c43ac88f2cb74852817390ca3b749ffd"
#     },
#     {
#         "geometry": {
#         "dimensions": { "x": 1.8, "y": 3.9, "z": 1.6 },
#         "position": { "x": -3.4, "y": 28.9, "z": -0.7 },
#         "rotation": { "x": 0.0, "y": 0, "z": -0.03 }
#         },
#         "geometryType": "cuboid_3d",
#         "key": "1b09a434c20f47faab3f0d7efdb4cbbf",
#         "objectKey": "c43ac88f2cb74852817390ca3b749ffd"
#     }
# ]