VideoTag¶

class VideoTag[source]¶

Bases: supervisely.annotation.tag.Tag

VideoTag object for VideoAnnotation. VideoTag object is immutable.

Parameters

meta : TagMeta: General information about Video Tag.
value : str or int or float or None, optional: Video Tag value. Depends on TagValueType of TagMeta.
frame_range : Tuple[int, int] or List[int, int], optional: Video Tag frame range.
key : uuid.UUID, optional: uuid.UUID object.
sly_id : int, optional: Video Tag ID in Supervisely.
labeler_login : str, optional: Login of user who created VideoTag.
updated_at : str, optional: Date and Time when VideoTag was modified last. Date Format: Year:Month:Day:Hour:Minute:Seconds. Example: ‘2021-01-22T19:37:50.158Z’.
created_at : str, optional: Date and Time when VideoTag was created. Date Format is the same as in “updated_at” parameter.

Usage example

import supervisely as sly
from supervisely.video_annotation.video_tag import VideoTag

meta_dog = sly.TagMeta('dog', sly.TagValueType.NONE)
# Now we can create a VideoTag using our TagMeta
tag_dog = VideoTag(meta_dog)
# When you are creating a new Tag
# Tag.value is automatically cross-checked against your TagMeta value type to make sure the value is valid.
# If we now try to add a value to our newly created Tag, we receive "ValueError", because our TagMeta value type is "NONE"
tag_dog = VideoTag(meta_dog, value="Husky")
# Output: ValueError: Tag dog can not have value Husky

# Let's create another Tag with a string value type and frame range
meta_cat = sly.TagMeta('cat', sly.TagValueType.ANY_STRING)
tag_cat = VideoTag(meta_cat, value="Fluffy", frame_range=(5, 10))

# Now let's create a Tag using TagMeta with "ONEOF_STRING" value type
# In order to use "oneof_string value type", you must initialize a variable with possible values(see class TagMeta for more information)
colors = ["brown", "white", "black", "red", "chocolate", "gold", "grey"]
meta_coat_color = sly.TagMeta('coat color', sly.TagValueType.ONEOF_STRING, possible_values=colors)
tag_coat_color = VideoTag(meta_coat_color, value="white", frame_range=(15, 20))

# If given value is not in a list of possible Tags, ValueError will be raised
tag_coat_color = VideoTag(meta_coat_color, value="yellow")
# Output: ValueError: Tag coat color can not have value yellow

Methods

`clone`	Makes a copy of VideoTag with new fields, if fields are given, otherwise it will use fields of the original VideoTag.
`from_json`	Convert a json dict to VideoTag.
`get_compact_str`	Get string with information about VideoTag: name, value and range of frames.
`get_header_ptable`	rtype `List`[`str`]
`get_row_ptable`	rtype `List`[`str`]
`key`	rtype `UUID`
`to_json`	Convert the VideoTag to a json dict.

Attributes

`frame_range`	VideoTag frame range.
`meta`	General information about Tag.
`name`	Name property.
`value`	Tag value.

clone(meta=None, value=None, frame_range=None, key=None, sly_id=None, labeler_login=None, updated_at=None, created_at=None)[source]¶

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

Parameters

meta : TagMeta, optional: General information about VideoTag.
value : str or int or float or None, optional: VideoTag value. Depends on TagValueType of TagMeta.
frame_range : Tuple[int, int] or List[int, int], optional: VideoTag frame range.
key : uuid.UUID, optional: uuid.UUID object.
sly_id : int, optional: VideoTag ID in Supervisely.
labeler_login : str, optional: Login of user who created VideoTag.
updated_at : str, optional: Date and Time when VideoTag was modified last. Date Format: Year:Month:Day:Hour:Minute:Seconds. Example: ‘2021-01-22T19:37:50.158Z’.
created_at : str, optional: Date and Time when VideoTag was created. Date Format is the same as in “updated_at” parameter.

Usage example

import supervisely as sly
from supervisely.video_annotation.video_tag import VideoTag

meta_car = sly.TagMeta('car_tag', sly.TagValueType.ANY_STRING)
car_tag = VideoTag(meta_car, value='acura', frame_range=(7, 9))

meta_bus = sly.TagMeta('bus', sly.TagValueType.ANY_STRING)
new_tag = car_tag.clone(meta=meta_bus, frame_range=(15, 129), key=car_tag.key())
new_tag_json = new_tag.to_json()
print(new_tag_json)
# Output: {
#     "name": "bus",
#     "value": "acura",
#     "frameRange": [
#         15,
#         129
#     ],
#     "key": "360438485fd34264921ca19bd43b0b71"
# }

Return type

VideoTag

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

Convert a json dict to VideoTag. Read more about Supervisely format.

Parameters

data : dict: VideoTag in json format as a dict.
tag_meta_collection : TagMetaCollection: TagMetaCollection object.
key_id_map : KeyIdMap, optional: Key ID Map object.

Returns

VideoTag object

Return type

VideoTag

Usage example

import supervisely as sly

tag_cat_json = {
    "name": "cat",
    "value": "Fluffy",
    "frameRange": [
        5,
        10
    ]
}

from supervisely.video_annotation.video_tag import VideoTag
meta_cat = sly.TagMeta('cat', sly.TagValueType.ANY_STRING)
meta_collection = sly.TagMetaCollection([meta_cat])
tag_cat = VideoTag.from_json(tag_cat_json, meta_collection)

get_compact_str()[source]¶

Get string with information about VideoTag: name, value and range of frames.

Returns

Information about VideoTag object

Return type

str

Usage example

import supervisely as sly
from supervisely.video_annotation.video_tag import VideoTag
meta_cat = sly.TagMeta('cat', sly.TagValueType.ANY_STRING)
tag_cat = VideoTag(meta_cat, value="Fluffy", frame_range=(5, 10))
compact_tag_cat = tag_cat.get_compact_str()
print(compact_tag_cat) # cat:Fluffy[5 - 10]

to_json(key_id_map=None)[source]¶

Convert the VideoTag to a json dict. Read more about Supervisely format.

Parameters

key_id_map : KeyIdMap, optional: Key ID Map object.

Returns

Json format as a dict

Return type

dict

Usage example

import supervisely as sly
from supervisely.video_annotation.video_tag import VideoTag
meta_dog = sly.TagMeta('dog', sly.TagValueType.NONE)
tag_dog = VideoTag(meta_dog)
tag_dog_json = tag_dog.to_json()
print(tag_dog_json)
# Output: {
#     "name": "dog",
#     "key": "058ad7993a534082b4d94cc52542a97d"
# }

property frame_range¶

VideoTag frame range.

Returns

Range of frames for current VideoTag

Return type

Tuple[int, int]

Usage example

cat_range = tag_cat.frame_range # [5, 10]

property meta¶

General information about Tag. When creating a new Tag, it’s value is automatically cross-checked against TagValueType to make sure that value is valid.

Returns

TagMeta object

Return type

TagMeta

Usage example

meta_dog = sly.TagMeta('dog', sly.TagValueType.NONE)
tag_dog = sly.Tag(meta_dog)

# Our TagMeta has value type 'NONE', if we try to add value to our Tag, "ValueError" error will be raised
tag_dog = sly.Tag(meta_dog, value="Husky")
# Output: ValueError: Tag dog can not have value Husky

property name¶

Name property.

Returns

Name

Return type

str

Usage example

meta_dog = sly.TagMeta('dog', sly.TagValueType.ANY_STRING)
tag_dog = sly.Tag(meta_dog, value="Husky")

print(tag_dog.name)
# Output: "dog"

property value¶

Tag value. Return type depends on TagValueType.

Returns

Tag value

Return type

str, int or float or None

Usage example

meta_dog = sly.TagMeta('dog', sly.TagValueType.ANY_STRING)
tag_dog = sly.Tag(meta_dog, value="Husky")

meta_age = sly.TagMeta('age', sly.TagValueType.ANY_NUMBER)
tag_age = sly.Tag(meta_age, value=9)

colors = ["Black", "White", "Golden", "Brown"]
meta_color = sly.TagMeta('coat color', sly.TagValueType.ONEOF_STRING, possible_values=colors)
tag_color = sly.Tag(meta_color, value="White")

type(tag_dog.value)   # 'str'
type(tag_age.value)   # 'int'
type(tag_color.value) # 'str'