class documentation

Randomly samples the given number of samples from a collection.

Examples:

import fiftyone as fo

dataset = fo.Dataset()
dataset.add_samples(
    [
        fo.Sample(
            filepath="/path/to/image1.png",
            ground_truth=fo.Classification(label="cat"),
        ),
        fo.Sample(
            filepath="/path/to/image2.png",
            ground_truth=fo.Classification(label="dog"),
        ),
        fo.Sample(
            filepath="/path/to/image3.png",
            ground_truth=fo.Classification(label="rabbit"),
        ),
        fo.Sample(
            filepath="/path/to/image4.png",
            ground_truth=None,
        ),
    ]
)

#
# Take two random samples from the dataset
#

stage = fo.Take(2)
view = dataset.add_stage(stage)

#
# Take two random samples from the dataset with a fixed seed
#

stage = fo.Take(2, seed=51)
view = dataset.add_stage(stage)
Parameters
sizethe number of samples to return. If a non-positive number is provided, an empty view is returned
seedan optional random seed to use when selecting the samples
Method __init__ Undocumented
Method to_mongo Returns the MongoDB aggregation pipeline for the stage.
Property seed The random seed to use, or None.
Property size The number of samples to return.
Class Method _params Returns a list of JSON dicts describing the stage's supported parameters.
Method _kwargs Returns a list of [name, value] lists describing the parameters of this stage instance.
Instance Variable _randint Undocumented
Instance Variable _seed Undocumented
Instance Variable _size Undocumented

Inherited from ViewStage:

Method __eq__ Undocumented
Method __repr__ Undocumented
Method __str__ Undocumented
Method get_edited_fields Returns a list of names of fields or embedded fields that may have been edited by the stage, if any.
Method get_excluded_fields Returns a list of fields that have been excluded by the stage, if any.
Method get_filtered_fields Returns a list of names of fields or embedded fields that contain arrays have been filtered by the stage, if any.
Method get_group_expr Returns the dynamic group expression for the given stage, if any.
Method get_media_type Returns the media type outputted by this stage when applied to the given collection, if and only if it is different from the input type.
Method get_selected_fields Returns a list of fields that have been selected by the stage, if any.
Method load_view Loads the fiftyone.core.view.DatasetView containing the output of the stage.
Method validate Validates that the stage can be applied to the given collection.
Property has_view Whether this stage's output view should be loaded via load_view rather than appending stages to an aggregation pipeline via to_mongo.
Property outputs_dynamic_groups Whether this stage outputs or flattens dynamic groups.
Class Method _from_dict Creates a ViewStage instance from a serialized JSON dict representation of it.
Method _needs_frames Whether the stage requires frame labels of video samples to be attached.
Method _needs_group_slices Whether the stage requires group slice(s) to be attached.
Method _serialize Returns a JSON dict representation of the ViewStage.
Instance Variable _uuid Undocumented
def __init__(self, size, seed=None, _randint=None): (source)

Undocumented

def to_mongo(self, _): (source)

Returns the MongoDB aggregation pipeline for the stage.

Only usable if has_view is False.

Parameters
_Undocumented
sample_collectionthe fiftyone.core.collections.SampleCollection to which the stage is being applied
Returns
a MongoDB aggregation pipeline (list of dicts)

The random seed to use, or None.

The number of samples to return.

@classmethod
def _params(cls): (source)

Returns a list of JSON dicts describing the stage's supported parameters.

Returns
a list of JSON dicts
def _kwargs(self): (source)

Returns a list of [name, value] lists describing the parameters of this stage instance.

Returns
a list of [name, value] lists
_randint = (source)

Undocumented

Undocumented

Undocumented