class documentation

A view stage defined by a raw MongoDB aggregation pipeline.

See MongoDB aggregation pipelines for more details.

Examples:

import fiftyone as fo

dataset = fo.Dataset()
dataset.add_samples(
    [
        fo.Sample(
            filepath="/path/to/image1.png",
            predictions=fo.Detections(
                detections=[
                    fo.Detection(
                        label="cat",
                        bounding_box=[0.1, 0.1, 0.5, 0.5],
                        confidence=0.9,
                    ),
                    fo.Detection(
                        label="dog",
                        bounding_box=[0.2, 0.2, 0.3, 0.3],
                        confidence=0.8,
                    ),
                ]
            ),
        ),
        fo.Sample(
            filepath="/path/to/image2.png",
            predictions=fo.Detections(
                detections=[
                    fo.Detection(
                        label="cat",
                        bounding_box=[0.5, 0.5, 0.4, 0.4],
                        confidence=0.95,
                    ),
                    fo.Detection(label="rabbit"),
                ]
            ),
        ),
        fo.Sample(
            filepath="/path/to/image3.png",
            predictions=fo.Detections(
                detections=[
                    fo.Detection(
                        label="squirrel",
                        bounding_box=[0.25, 0.25, 0.5, 0.5],
                        confidence=0.5,
                    ),
                ]
            ),
        ),
        fo.Sample(
            filepath="/path/to/image4.png",
            predictions=None,
        ),
    ]
)

#
# Extract a view containing the second and third samples in the dataset
#

stage = fo.Mongo([{"$skip": 1}, {"$limit": 2}])
view = dataset.add_stage(stage)

#
# Sort by the number of objects in the `precictions` field
#

stage = fo.Mongo([
    {
        "$addFields": {
            "_sort_field": {
                "$size": {"$ifNull": ["$predictions.detections", []]}
            }
        }
    },
    {"$sort": {"_sort_field": -1}},
    {"$project": {"_sort_field": False}},
])
view = dataset.add_stage(stage)
Parameters
pipelinea MongoDB aggregation pipeline (list of dicts)
Method __init__ Undocumented
Method to_mongo Returns the MongoDB aggregation pipeline for the stage.
Property pipeline The MongoDB aggregation pipeline.
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.
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.
Instance Variable _group_slices_manual Undocumented
Instance Variable _needs_frames_manual Undocumented
Instance Variable _pipeline 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_group_media_types Returns the group media types outputted by this stage, if any, when applied to the given collection, if and only if they are different from the input collection.
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 flattens_groups Whether this stage flattens groups into a non-grouped 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 _serialize Returns a JSON dict representation of the ViewStage.
Instance Variable _uuid Undocumented
def __init__(self, pipeline, _needs_frames=None, _group_slices=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 MongoDB aggregation pipeline.

@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
def _needs_frames(self, sample_collection): (source)

Whether the stage requires frame labels of video samples to be attached.

Parameters
sample_collectionthe fiftyone.core.collections.SampleCollection to which the stage is being applied
Returns
True/False
def _needs_group_slices(self, sample_collection): (source)

Whether the stage requires group slice(s) to be attached.

Parameters
sample_collectionthe fiftyone.core.collections.SampleCollection to which the stage is being applied
Returns
None, or a list of group slices
_group_slices_manual = (source)

Undocumented

_needs_frames_manual = (source)

Undocumented

_pipeline = (source)

Undocumented