PointcloudEpisodeTagCollection¶

class PointcloudEpisodeTagCollection[source]¶

Bases: supervisely.pointcloud_annotation.pointcloud_tag_collection.PointcloudTagCollection

Collection with PointcloudEpisodeTag instances. PointcloudEpisodeTagCollection object is immutable.

Usage example

import supervisely as sly

# Create TagMetas (see class TagMeta for additional information about creating TagMetas)
colors = ["brown", "white", "black", "red", "chocolate", "gold", "grey"]
meta_car_color = sly.TagMeta('car color', sly.TagValueType.ONEOF_STRING, possible_values=colors)


# Create tags
tag_car_color_white = sly.PointcloudEpisodeTag(meta_car_color, value="white", frame_range=(15, 20))
tag_car_color_red = sly.PointcloudEpisodeTag(meta_car_color, value="red", frame_range=(11, 22))
tags_arr = [tag_car_color_white, tag_car_color_red]

# Create PointcloudEpisodeTagCollection from point cloud episodes Tags
tags = sly.PointcloudEpisodeTagCollection(tags_arr)

# Add item to PointcloudEpisodeTagCollection
meta_bus = sly.TagMeta('bus', sly.TagValueType.NONE)
tag_bus = sly.PointcloudEpisodeTag(meta_bus, frame_range=(11, 14))

# Remember that PointcloudEpisodeTagCollection is immutable, and we need to assign new instance of PointcloudEpisodeTagCollection to a new variable
tags = tags.add(tag_bus)

# You can also add multiple items to collection
meta_truck = sly.TagMeta('truck', sly.TagValueType.NONE)
meta_moto = sly.TagMeta('moto', sly.TagValueType.NONE)

tag_truck = sly.PointcloudEpisodeTag(meta_truck, frame_range=(6, 10))
tag_moto = sly.PointcloudEpisodeTag(meta_moto, frame_range=(11, 15))

additional_tags = [tag_truck, tag_moto]

tags = tags.add_items(additional_tags)

# Has key, checks if given key exist in collection
tags.has_key(meta_moto.key())
# Output: True

# Intersection, finds intersection of given list of instances with collection items
meta_bus = sly.TagMeta('bus', sly.TagValueType.NONE)
tag_bus = sly.PointcloudEpisodeTag(meta_bus, frame_range=(0, 5))

meta_truck = sly.TagMeta('truck', sly.TagValueType.NONE, frame_range=(6, 11))
tag_truck = sly.PointcloudEpisodeTag(meta_truck)

tags_vehicles = sly.PointcloudEpisodeTagCollection([tag_bus, tag_truck])

tags_intersections = tags.intersection(tags_vehicles)
print(tags_intersections.to_json())
# Output: []

# Let's add the moto Tag from another collection and compare them again
tags_vehicles = tags_vehicles.add(tag_moto)

tags_intersections = tags.intersection(tags_vehicles)
print(tags_intersections.to_json())
# Output: [
#     {
#         "name": "moto",
#         "frameRange": [11, 15],
#         "key": "3f37e10a658e440db3ab9f5c0be7fb67"
#     }
# ]


# Difference, finds difference between collection and given list of Tags or PointcloudEpisodeTagCollection
meta_car = sly.TagMeta('car', sly.TagValueType.NONE)
tag_car = sly.PointcloudEpisodeTag(meta_car, frame_range=(6, 11))

meta_bicycle = sly.TagMeta('bicycle', sly.TagValueType.NONE)
tag_bicycle = sly.PointcloudEpisodeTag(meta_bicycle, frame_range=(6, 11))

tags_vehicles = sly.PointcloudEpisodeTagCollection([tag_car, tag_bicycle])

meta_pedestrian = sly.TagMeta('pedestrian', sly.TagValueType.NONE)
tag_pedestrian = sly.PointcloudEpisodeTag(meta_pedestrian, frame_range=(14, 20))

meta_road = sly.TagMeta('road', sly.TagValueType.NONE)
tag_road = sly.PointcloudEpisodeTag(meta_road, frame_range=(13, 22))

difference = tags_vehicles.difference([tag_pedestrian, tag_road])
print(difference.to_json())
# Output: [
#     {
#         "name": "car",
#         "frameRange": [6, 11],
#         "key": "eba949cb996e44ac8aebec72a0875b13"
#     },
#     {
#         "name": "bicycle",
#         "frameRange": [6, 11],
#         "key": "f9f03baec21e428ba04525d8df003e22"
#     }
# ]


# Merge, merges collection and given list of collections
tags_vehicles = sly.PointcloudEpisodeTagCollection([tag_car, tag_bicycle])
tags_merge = sly.PointcloudEpisodeTagCollection([tag_pedestrian, tag_road])

merged_collections = tags_vehicles.merge(tags_merge)
print(merged_collections.to_json())
# Output: [
#     {
#         "frameRange": [6, 11],
#         "key": "a6527453a3d34e68865bc0ad4b66f673",
#         "name": "car"
#     },
#     {
#         "frameRange": [6, 11],
#         "key": "e9a9a306fd9c4ea180d1edf2a6fb1cf0",
#         "name": "bicycle"
#     },
#     {
#         "frameRange": [14, 20],
#         "key": "8480532ff4db4600839ab403b1d0ab85",
#         "name": "pedestrian"
#     },
#     {
#         "frameRange": [13, 22],
#         "key": "828f58c0c5174dbba40f7374dcc8016a",
#         "name": "road"
#     }
# ]

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_api_response	Create a PointcloudEpisodeTagCollection object from API response data.
from_json	Convert a list with dicts in json format to PointcloudEpisodeTagCollection.
get	Get item from collection with given key(name).
get_all	Get item from collection with given key(name).
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 with other MultiKeyIndexedCollection object.
merge_without_duplicates	Merge collection with other MultiKeyIndexedCollection object.
remove_items	Remove items from collection by given list of keys.
to_json	Convert the PointcloudTagCollection to a list of json dicts.

item_type¶

alias of supervisely.pointcloud_annotation.pointcloud_episode_tag.PointcloudEpisodeTag

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_api_response(data, tag_meta_collection, id_to_tagmeta=None)[source]¶

Create a PointcloudEpisodeTagCollection object from API response data.

Parameters

data : List[Dict]

API response data.

tag_meta_collection : TagMetaCollection

TagMetaCollection object

id_to_tagmeta : Optional[Dict[int, TagMeta]]

Mapping of tag IDs to tag metadata.

Returns

PointcloudEpisodeTagCollection object.

Return type

PointcloudEpisodeTagCollection

Usage example

import supervisely as sly

# You can connect to API directly
address = 'https://app.supervise.ly/'
token = 'Your Supervisely API Token'
api = sly.Api(address, token)

# Or you can use API from environment
os.environ['SERVER_ADDRESS'] = 'https://app.supervisely.com'
os.environ['API_TOKEN'] = 'Your Supervisely API Token'
api = sly.Api.from_env()

project_id = 18428
pcd_id = 19481209
project_meta_json = api.project.get_meta(project_id)
project_meta = sly.ProjectMeta.from_json(project_meta_json)
pcd_info = api.pointcloud_episode.get_info_by_id(pcd_id)

tag_collection = sly.PointcloudEpisodeTagCollection.from_api_response(
    pcd_info.tags, project_meta.tag_metas
)
print(tag_collection)

# Output:
# Tags:
# +-------+--------------+-------+
# |  Name |  Value type  | Value |
# +-------+--------------+-------+
# | color | oneof_string |  red  |
# |  car  |     none     |  None |
# +-------+--------------+-------+

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

Convert a list with dicts in json format to PointcloudEpisodeTagCollection. Read more about Supervisely format.

Parameters

data : List[Dict]

List with dicts in json format.

tag_meta_collection : TagMetaCollection

TagMetaCollection object.

key_id_map : KeyIdMap, optional

KeyIdMap object.

Returns

TagCollection object.

Return type

PointcloudEpisodeTagCollection

Usage example

import supervisely as sly

# Initialize TagMetaCollection
meta_weather = sly.TagMeta('Weather', sly.TagValueType.ANY_STRING)

seasons = ["Winter", "Spring", "Summer", "Autumn"]
meta_season = sly.TagMeta('Season', sly.TagValueType.ONEOF_STRING, possible_values=seasons)

metas_arr = [meta_weather, meta_season]
tag_metas = sly.TagMetaCollection(metas_arr)

data = [
    {
        "name":"Weather",
        "value":"Sunny"
    },
    {
        "name":"Season",
        "value":"Spring"
    }
]

tags = sly.PointcloudEpisodeTagCollection.from_json(data, tag_metas)

get(key, default=None)¶

Get item from collection with given key(name). If there are many values for the same key, the first value will be returned.

Parameters

items : str

Name of KeyObject in collection.

default : optional

The value that is returned if there is no key in the collection.

Returns

ObjClassCollection, TagMetaCollection or TagCollection object

Return type

KeyObject

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
other_cat = sly.ObjClass('cat', sly.Rectangle)
collection = sly.collection.key_indexed_collection.MultiKeyIndexedCollection([item_cat, item_turtle, other_cat])
item = collection.get('cat')
print(item)
# Output:
# Name:  cat                      Value type:none          Possible values:None       Hotkey                  Applicable toall        Applicable classes[]

get_all(key, default=[])¶

Get item from collection with given key(name). If there are many values for the same key,all values will be returned by list.

Parameters

items : str

Name of KeyObject in collection.

default : List, optional

The value that is returned if there is no key in the collection.

Returns

List of ObjClassCollection, TagMetaCollection or TagCollection objects or empty list

Return type

List[KeyObject] or list

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
other_cat = sly.ObjClass('cat', sly.Rectangle)
collection = sly.collection.key_indexed_collection.MultiKeyIndexedCollection([item_cat, item_turtle, other_cat])
items = collection.get('cat')
print(items)
# Output:
# [<supervisely.annotation.tag_meta.TagMeta object at 0x7f0278662340>, <supervisely.annotation.obj_class.ObjClass object at 0x7f02786623a0>]

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

MultiKeyIndexedCollection object

Return type

MultiKeyIndexedCollection

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
other_cat = sly.ObjClass('cat', sly.Rectangle)
collection = sly.collection.key_indexed_collection.MultiKeyIndexedCollection([item_cat, item_turtle, other_cat])

# Note, item_cat_2 have same key as item_cat, but another value
item_cat_2 = sly.TagMeta('cat', sly.TagValueType.ANY_STRING)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
items = [item_cat_2, item_turtle]

intersect = collection.intersection(items)
print(intersect.to_json())
# Output: [
#     {
#         "name": "turtle",
#         "value_type": "any_string",
#         "color": "#5B8A0F",
#         "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)
other_cat = sly.ObjClass('cat', sly.Rectangle)
collection = sly.collection.key_indexed_collection.MultiKeyIndexedCollection([item_cat, item_turtle, other_cat])
print(collection.items())
# Output:
# [<supervisely.annotation.tag_meta.TagMeta object at 0x7fdbd28ce340>,
#  <supervisely.annotation.obj_class.ObjClass object at 0x7fdbd28ce3a0>,
#  <supervisely.annotation.tag_meta.TagMeta object at 0x7fdbd28ce370>]

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 with other MultiKeyIndexedCollection object.

Parameters

key : MultiKeyIndexedCollection

MultiKeyIndexedCollection object.

Returns

MultiKeyIndexedCollection object

Return type

MultiKeyIndexedCollection

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
other_cat = sly.ObjClass('cat', sly.Rectangle)
collection = sly.collection.key_indexed_collection.MultiKeyIndexedCollection([item_cat, item_turtle, other_cat])

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

merge = collection.merge(other_collection)
print(merge.to_json())
# Output: [
#     {
#         "name": "cat",
#         "value_type": "none",
#         "color": "#198A0F",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     },
#     {
#         "title": "cat",
#         "shape": "rectangle",
#         "color": "#898A0F",
#         "geometry_config": {},
#         "hotkey": ""
#     },
#     {
#         "name": "turtle",
#         "value_type": "any_string",
#         "color": "#650F8A",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     },
#     {
#         "name": "turtle",
#         "value_type": "any_string",
#         "color": "#0F8A83",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     },
#     {
#         "name": "dog",
#         "value_type": "none",
#         "color": "#1A8A0F",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     }
# ]

merge_without_duplicates(other)¶

Merge collection with other MultiKeyIndexedCollection object. Duplicates will be ignored.

Parameters

key : MultiKeyIndexedCollection

MultiKeyIndexedCollection object.

Raises

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

Returns

MultiKeyIndexedCollection object

Return type

MultiKeyIndexedCollection

Usage Example

import supervisely as sly

item_cat = sly.TagMeta('cat', sly.TagValueType.NONE)
item_turtle = sly.TagMeta('turtle', sly.TagValueType.ANY_STRING)
other_cat = sly.ObjClass('cat', sly.Rectangle)
collection = sly.collection.key_indexed_collection.MultiKeyIndexedCollection([item_cat, item_turtle, other_cat])

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

merge = collection.merge_without_duplicates(other_collection)
print(merge.to_json())
# Output: [
#     {
#         "name": "dog",
#         "value_type": "none",
#         "color": "#8A0F37",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     },
#     {
#         "name": "cat",
#         "value_type": "none",
#         "color": "#778A0F",
#         "hotkey": "",
#         "applicable_type": "all",
#         "classes": []
#     },
#     {
#         "title": "cat",
#         "shape": "rectangle",
#         "color": "#8A0F76",
#         "geometry_config": {},
#         "hotkey": ""
#     },
#     {
#         "name": "turtle",
#         "value_type": "any_string",
#         "color": "#850F8A",
#         "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 PointcloudTagCollection 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

meta_weather = sly.TagMeta('Weather', sly.TagValueType.ANY_STRING)

seasons = ["Winter", "Spring", "Summer", "Autumn"]
meta_season = sly.TagMeta('Season', sly.TagValueType.ONEOF_STRING, possible_values=seasons)

tag_weather = sly.PointcloudTag(meta_weather, value="Sunny")
tag_season = sly.PointcloudTag(meta_season, value="Spring")

tags_arr = [tag_weather, tag_season]
tags = sly.PointcloudTagCollection(tags_arr)

tags_json = tags.to_json()
# Output: [
#     {
#         "name":"Weather",
#         "value":"Sunny",
#         "key": "058ad7993a534082b4d94cc52542a97d"
#     },
#     {
#         "name":"Season",
#         "value":"Spring",
#         "key": "0c0033c5b4834d4cbabece4317295f07"
#     }
# ]