fiftyone.core.clips.TrajectoriesView

class documentation

class TrajectoriesView(ClipsView): (source)

Constructor: TrajectoriesView(source_collection, clips_stage, clips_dataset, _stages, ...)

A ClipsView of object trajectories from a video fiftyone.core.dataset.Dataset.

Trajectories views contain an ordered collection of clips, each of which corresponds to a unique object trajectory from the source collection.

Clips retrieved from trajectories views are returned as ClipView objects.

Parameters
source_collection	the `fiftyone.core.collections.SampleCollection` from which this view was created
clips_stage	the `fiftyone.core.stages.ToTrajectories` stage that defines how the clips were created
clips_dataset	the `fiftyone.core.dataset.Dataset` that serves the clips in this view

Method	`__copy__`	Undocumented
Method	`__init__`	Undocumented
Class Variable	`__slots__`	Undocumented
Property	`is_saved`	Whether the view is a saved view or not.
Property	`media_type`	The media type of the view.
Property	`name`	The name of the view if it is a saved view; otherwise None.
Static Method	`_make_trajectory_stages`	Undocumented
Method	`_set_media_type`	Undocumented
Method	`_set_name`	Undocumented
Instance Variable	`__media_type`	Undocumented
Instance Variable	`__name`	Undocumented
Instance Variable	`__stages`	Undocumented
Instance Variable	`_classification_field`	Undocumented
Instance Variable	`_clips_dataset`	Undocumented
Instance Variable	`_clips_stage`	Undocumented
Instance Variable	`_num_trajectory_stages`	Undocumented
Instance Variable	`_source_collection`	Undocumented
Property	`_all_stages`	Undocumented
Property	`_stages`	Undocumented

Inherited from ClipsView:

Method	`keep`	Deletes all clips that are not in this view from the underlying dataset.
Method	`keep_fields`	Deletes any frame fields that have been excluded in this view from the frames of the underlying dataset.
Method	`reload`	Reloads the view.
Method	`save`	Saves the clips in this view to the underlying dataset.
Method	`set_label_values`	Sets the fields of the specified labels in the collection to the given values.
Method	`set_values`	Sets the field or embedded field on each sample or frame in the collection to the given values.
Static Method	`_get_temporal_detection_field`	Undocumented
Method	`_sync_source`	Undocumented
Method	`_sync_source_field_schema`	Undocumented
Method	`_sync_source_keep_fields`	Undocumented
Method	`_sync_source_sample`	Undocumented
Method	`_tag_labels`	Undocumented
Method	`_to_source_ids`	Undocumented
Method	`_untag_labels`	Undocumented
Property	`_base_view`	Undocumented
Property	`_dataset`	The `fiftyone.core.dataset.Dataset` that serves the samples in this collection.
Property	`_root_dataset`	The root `fiftyone.core.dataset.Dataset` from which this collection is derived.
Property	`_sample_cls`	Undocumented

Inherited from DatasetView (via ClipsView):

Method	`__eq__`	Undocumented
Method	`__getitem__`	Undocumented
Method	`__len__`	Undocumented
Method	`app_config.setter`	Undocumented
Method	`classes.setter`	Undocumented
Method	`clear`	Deletes all samples in the view from the underlying dataset.
Method	`clear_frame_field`	Clears the values of the frame-level field from all samples in the view.
Method	`clear_frame_fields`	Clears the values of the frame-level fields from all samples in the view.
Method	`clear_frames`	Deletes all frame labels from the samples in the view from the underlying dataset.
Method	`clear_sample_field`	Clears the values of the field from all samples in the view.
Method	`clear_sample_fields`	Clears the values of the fields from all samples in the view.
Method	`clone`	Creates a new dataset containing a copy of the contents of the view.
Method	`clone_frame_field`	Clones the frame-level field of the view into a new field.
Method	`clone_frame_fields`	Clones the frame-level fields of the view into new frame-level fields of the dataset.
Method	`clone_sample_field`	Clones the given sample field of the view into a new field of the dataset.
Method	`clone_sample_fields`	Clones the given sample fields of the view into new fields of the dataset.
Method	`default_classes.setter`	Undocumented
Method	`default_mask_targets.setter`	Undocumented
Method	`default_skeleton.setter`	Undocumented
Method	`description.setter`	Undocumented
Method	`ensure_frames`	Ensures that the video view contains frame instances for every frame of each sample's source video.
Method	`get_dynamic_group`	Returns a view containing the samples from a dynamic grouped view with the given group value.
Method	`get_field_schema`	Returns a schema dictionary describing the fields of the samples in the view.
Method	`get_frame_field_schema`	Returns a schema dictionary describing the fields of the frames of the samples in the view.
Method	`get_group`	Returns a dict containing the samples for the given group ID.
Method	`group_slice.setter`	Undocumented
Method	`info.setter`	Undocumented
Method	`iter_dynamic_groups`	Returns an iterator over the dynamic groups in the view.
Method	`iter_groups`	Returns an iterator over the groups in the view.
Method	`iter_samples`	Returns an iterator over the samples in the view.
Method	`keep_frames`	For each sample in the view, deletes all frames labels that are not in the view from the underlying dataset.
Method	`mask_targets.setter`	Undocumented
Method	`skeletons.setter`	Undocumented
Method	`summary`	Returns a string summary of the view.
Method	`tags.setter`	Undocumented
Method	`to_dict`	Returns a JSON dictionary representation of the view.
Method	`view`	Returns a copy of this view.
Property	`app_config`	Dataset-specific settings that customize how this collection is visualized in the :ref:`FiftyOne App <fiftyone-app>`.
Property	`classes`	The classes of the underlying dataset.
Property	`dataset_name`	The name of the underlying dataset.
Property	`default_classes`	The default classes of the underlying dataset.
Property	`default_group_slice`	The default group slice of the view, or None if the view is not grouped.
Property	`default_mask_targets`	The default mask targets of the underlying dataset.
Property	`default_skeleton`	The default keypoint skeleton of the underlying dataset.
Property	`description`	A description of the underlying dataset.
Property	`group_field`	The group field of the view, or None if the view is not grouped.
Property	`group_media_types`	A dict mapping group slices to media types, or None if the view is not grouped.
Property	`group_slice`	The current group slice of the view, or None if the view is not grouped.
Property	`group_slices`	The list of group slices of the view, or None if the view is not grouped.
Property	`info`	The info dict of the underlying dataset.
Property	`mask_targets`	The mask targets of the underlying dataset.
Property	`skeletons`	The keypoint skeletons of the underlying dataset.
Property	`tags`	The list of tags of the underlying dataset.
Static Method	`_build`	Undocumented
Method	`_add_view_stage`	Returns a `fiftyone.core.view.DatasetView` containing the contents of the collection with the given fiftyone.core.stages.ViewStage` appended to its aggregation pipeline.
Method	`_aggregate`	Runs the MongoDB aggregation pipeline on the collection and returns the result.
Method	`_dynamic_groups_pipeline`	Undocumented
Method	`_get_edited_fields`	Undocumented
Method	`_get_filtered_fields`	Undocumented
Method	`_get_filtered_schema`	Undocumented
Method	`_get_group_media_types`	Undocumented
Method	`_get_missing_fields`	Undocumented
Method	`_get_selected_excluded_fields`	Undocumented
Method	`_init_make_frame`	Undocumented
Method	`_init_make_sample`	Undocumented
Method	`_iter_dynamic_groups`	Undocumented
Method	`_iter_groups`	Undocumented
Method	`_iter_samples`	Undocumented
Method	`_make_frame`	Undocumented
Method	`_make_sample`	Undocumented
Method	`_make_view_stages_str`	Undocumented
Method	`_needs_frames`	Undocumented
Method	`_outputs_dynamic_groups`	Undocumented
Method	`_parse_dynamic_groups`	Undocumented
Method	`_pipeline`	Returns the MongoDB aggregation pipeline for the collection.
Method	`_serialize`	Undocumented
Method	`_slice`	Undocumented
Instance Variable	`__dataset`	Undocumented
Instance Variable	`__group_slice`	Undocumented
Instance Variable	`_make_frame_fcn`	Undocumented
Instance Variable	`_make_sample_fcn`	Undocumented
Property	`_frame_cls`	Undocumented
Property	`_has_slices`	Undocumented
Property	`_is_clips`	Whether this collection contains clips.
Property	`_is_dynamic_groups`	Whether this collection contains dynamic groups.
Property	`_is_frames`	Whether this collection contains frames of a video dataset.
Property	`_is_generated`	Whether this collection's contents is generated from another collection.
Property	`_is_patches`	Whether this collection contains patches.
Property	`_parent_media_type`	Undocumented

Inherited from SampleCollection (via ClipsView, DatasetView):

Class Method	`list_aggregations`	Returns a list of all available methods on this collection that apply `fiftyone.core.aggregations.Aggregation` operations to this collection.
Class Method	`list_view_stages`	Returns a list of all available methods on this collection that apply `fiftyone.core.stages.ViewStage` operations to this collection.
Method	`__add__`	Undocumented
Method	`__bool__`	Undocumented
Method	`__contains__`	Undocumented
Method	`__iter__`	Undocumented
Method	`__repr__`	Undocumented
Method	`__str__`	Undocumented
Method	`add_stage`	Applies the given `fiftyone.core.stages.ViewStage` to the collection.
Method	`aggregate`	Aggregates one or more `fiftyone.core.aggregations.Aggregation` instances.
Method	`annotate`	Exports the samples and optional label field(s) in this collection to the given annotation backend.
Method	`apply_model`	Applies the model to the samples in the collection.
Method	`bounds`	Computes the bounds of a numeric field of the collection.
Method	`compute_embeddings`	Computes embeddings for the samples in the collection using the given model.
Method	`compute_metadata`	Populates the `metadata` field of all samples in the collection.
Method	`compute_patch_embeddings`	Computes embeddings for the image patches defined by `patches_field` of the samples in the collection using the given model.
Method	`concat`	Concatenates the contents of the given `SampleCollection` to this collection.
Method	`count`	Counts the number of field values in the collection.
Method	`count_label_tags`	Counts the occurrences of all label tags in the specified label field(s) of this collection.
Method	`count_sample_tags`	Counts the occurrences of sample tags in this collection.
Method	`count_values`	Counts the occurrences of field values in the collection.
Method	`create_index`	Creates an index on the given field or with the given specification, if necessary.
Method	`delete_annotation_run`	Deletes the annotation run with the given key from this collection.
Method	`delete_annotation_runs`	Deletes all annotation runs from this collection.
Method	`delete_brain_run`	Deletes the brain method run with the given key from this collection.
Method	`delete_brain_runs`	Deletes all brain method runs from this collection.
Method	`delete_evaluation`	Deletes the evaluation results associated with the given evaluation key from this collection.
Method	`delete_evaluations`	Deletes all evaluation results from this collection.
Method	`delete_run`	Deletes the run with the given key from this collection.
Method	`delete_runs`	Deletes all runs from this collection.
Method	`distinct`	Computes the distinct values of a field in the collection.
Method	`draw_labels`	Renders annotated versions of the media in the collection with the specified label data overlaid to the given directory.
Method	`drop_index`	Drops the index for the given field or name, if necessary.
Method	`evaluate_classifications`	Evaluates the classification predictions in this collection with respect to the specified ground truth labels.
Method	`evaluate_detections`	Evaluates the specified predicted detections in this collection with respect to the specified ground truth detections.
Method	`evaluate_regressions`	Evaluates the regression predictions in this collection with respect to the specified ground truth values.
Method	`evaluate_segmentations`	Evaluates the specified semantic segmentation masks in this collection with respect to the specified ground truth masks.
Method	`exclude`	Excludes the samples with the given IDs from the collection.
Method	`exclude_by`	Excludes the samples with the given field values from the collection.
Method	`exclude_fields`	Excludes the fields with the given names from the samples in the collection.
Method	`exclude_frames`	Excludes the frames with the given IDs from the video collection.
Method	`exclude_groups`	Excludes the groups with the given IDs from the grouped collection.
Method	`exclude_labels`	Excludes the specified labels from the collection.
Method	`exists`	Returns a view containing the samples in the collection that have (or do not have) a non-`None` value for the given field or embedded field.
Method	`export`	Exports the samples in the collection to disk.
Method	`filter_field`	Filters the values of a field or embedded field of each sample in the collection.
Method	`filter_keypoints`	Filters the individual `fiftyone.core.labels.Keypoint.points` elements in the specified keypoints field of each sample in the collection.
Method	`filter_labels`	Filters the `fiftyone.core.labels.Label` field of each sample in the collection.
Method	`first`	Returns the first sample in the collection.
Method	`flatten`	Returns a flattened view that contains all samples in the dynamic grouped collection.
Method	`geo_near`	Sorts the samples in the collection by their proximity to a specified geolocation.
Method	`geo_within`	Filters the samples in this collection to only include samples whose geolocation is within a specified boundary.
Method	`get_annotation_info`	Returns information about the annotation run with the given key on this collection.
Method	`get_brain_info`	Returns information about the brain method run with the given key on this collection.
Method	`get_classes`	Gets the classes list for the given field, or None if no classes are available.
Method	`get_dynamic_field_schema`	Returns a schema dictionary describing the dynamic fields of the samples in the collection.
Method	`get_dynamic_frame_field_schema`	Returns a schema dictionary describing the dynamic fields of the frames in the collection.
Method	`get_evaluation_info`	Returns information about the evaluation with the given key on this collection.
Method	`get_field`	Returns the field instance of the provided path, or `None` if one does not exist.
Method	`get_index_information`	Returns a dictionary of information about the indexes on this collection.
Method	`get_mask_targets`	Gets the mask targets for the given field, or None if no mask targets are available.
Method	`get_run_info`	Returns information about the run with the given key on this collection.
Method	`get_skeleton`	Gets the keypoint skeleton for the given field, or None if no skeleton is available.
Method	`group_by`	Creates a view that groups the samples in the collection by a specified field or expression.
Method	`has_annotation_run`	Whether this collection has an annotation run with the given key.
Method	`has_brain_run`	Whether this collection has a brain method run with the given key.
Method	`has_classes`	Determines whether this collection has a classes list for the given field.
Method	`has_evaluation`	Whether this collection has an evaluation with the given key.
Method	`has_field`	Determines whether the collection has a field with the given name.
Method	`has_frame_field`	Determines whether the collection has a frame-level field with the given name.
Method	`has_mask_targets`	Determines whether this collection has mask targets for the given field.
Method	`has_run`	Whether this collection has a run with the given key.
Method	`has_sample_field`	Determines whether the collection has a sample field with the given name.
Method	`has_skeleton`	Determines whether this collection has a keypoint skeleton for the given field.
Method	`head`	Returns a list of the first few samples in the collection.
Method	`histogram_values`	Computes a histogram of the field values in the collection.
Method	`init_run`	Initializes a config instance for a new run.
Method	`init_run_results`	Initializes a results instance for the run with the given key.
Method	`last`	Returns the last sample in the collection.
Method	`limit`	Returns a view with at most the given number of samples.
Method	`limit_labels`	Limits the number of `fiftyone.core.labels.Label` instances in the specified labels list field of each sample in the collection.
Method	`list_annotation_runs`	Returns a list of annotation keys on this collection.
Method	`list_brain_runs`	Returns a list of brain keys on this collection.
Method	`list_evaluations`	Returns a list of evaluation keys on this collection.
Method	`list_indexes`	Returns the list of index names on this collection.
Method	`list_runs`	Returns a list of run keys on this collection.
Method	`list_schema`	Extracts the value type(s) in a specified list field across all samples in the collection.
Method	`load_annotation_results`	Loads the results for the annotation run with the given key on this collection.
Method	`load_annotation_view`	Loads the `fiftyone.core.view.DatasetView` on which the specified annotation run was performed on this collection.
Method	`load_annotations`	Downloads the labels from the given annotation run from the annotation backend and merges them into this collection.
Method	`load_brain_results`	Loads the results for the brain method run with the given key on this collection.
Method	`load_brain_view`	Loads the `fiftyone.core.view.DatasetView` on which the specified brain method run was performed on this collection.
Method	`load_evaluation_results`	Loads the results for the evaluation with the given key on this collection.
Method	`load_evaluation_view`	Loads the `fiftyone.core.view.DatasetView` on which the specified evaluation was performed on this collection.
Method	`load_run_results`	Loads the results for the run with the given key on this collection.
Method	`load_run_view`	Loads the `fiftyone.core.view.DatasetView` on which the specified run was performed on this collection.
Method	`make_unique_field_name`	Makes a unique field name with the given root name for the collection.
Method	`map_labels`	Maps the `label` values of a `fiftyone.core.labels.Label` field to new values for each sample in the collection.
Method	`match`	Filters the samples in the collection by the given filter.
Method	`match_frames`	Filters the frames in the video collection by the given filter.
Method	`match_labels`	Selects the samples from the collection that contain (or do not contain) at least one label that matches the specified criteria.
Method	`match_tags`	Returns a view containing the samples in the collection that have or don't have any/all of the given tag(s).
Method	`max`	Computes the maximum of a numeric field of the collection.
Method	`mean`	Computes the arithmetic mean of the field values of the collection.
Method	`merge_labels`	Merges the labels from the given input field into the given output field of the collection.
Method	`min`	Computes the minimum of a numeric field of the collection.
Method	`mongo`	Adds a view stage defined by a raw MongoDB aggregation pipeline.
Method	`one`	Returns a single sample in this collection matching the expression.
Method	`quantiles`	Computes the quantile(s) of the field values of a collection.
Method	`register_run`	Registers a run under the given key on this collection.
Method	`rename_annotation_run`	Replaces the key for the given annotation run with a new key.
Method	`rename_brain_run`	Replaces the key for the given brain run with a new key.
Method	`rename_evaluation`	Replaces the key for the given evaluation with a new key.
Method	`rename_run`	Replaces the key for the given run with a new key.
Method	`save_context`	Returns a context that can be used to save samples from this collection according to a configurable batching strategy.
Method	`save_run_results`	Saves run results for the run with the given key.
Method	`schema`	Extracts the names and types of the attributes of a specified embedded document field across all samples in the collection.
Method	`select`	Selects the samples with the given IDs from the collection.
Method	`select_by`	Selects the samples with the given field values from the collection.
Method	`select_fields`	Selects only the fields with the given names from the samples in the collection. All other fields are excluded.
Method	`select_frames`	Selects the frames with the given IDs from the video collection.
Method	`select_group_slices`	Selects the samples in the group collection from the given slice(s).
Method	`select_groups`	Selects the groups with the given IDs from the grouped collection.
Method	`select_labels`	Selects only the specified labels from the collection.
Method	`set_field`	Sets a field or embedded field on each sample in a collection by evaluating the given expression.
Method	`shuffle`	Randomly shuffles the samples in the collection.
Method	`skip`	Omits the given number of samples from the head of the collection.
Method	`sort_by`	Sorts the samples in the collection by the given field(s) or expression(s).
Method	`sort_by_similarity`	Sorts the collection by similarity to a specified query.
Method	`split_labels`	Splits the labels from the given input field into the given output field of the collection.
Method	`stats`	Returns stats about the collection on disk.
Method	`std`	Computes the standard deviation of the field values of the collection.
Method	`sum`	Computes the sum of the field values of the collection.
Method	`sync_last_modified_at`	Syncs the `last_modified_at` property(s) of the dataset.
Method	`tag_labels`	Adds the tag(s) to all labels in the specified label field(s) of this collection, if necessary.
Method	`tag_samples`	Adds the tag(s) to all samples in this collection, if necessary.
Method	`tail`	Returns a list of the last few samples in the collection.
Method	`take`	Randomly samples the given number of samples from the collection.
Method	`to_clips`	Creates a view that contains one sample per clip defined by the given field or expression in the video collection.
Method	`to_evaluation_patches`	Creates a view based on the results of the evaluation with the given key that contains one sample for each true positive, false positive, and false negative example in the collection, respectively.
Method	`to_frames`	Creates a view that contains one sample per frame in the video collection.
Method	`to_json`	Returns a JSON string representation of the collection.
Method	`to_patches`	Creates a view that contains one sample per object patch in the specified field of the collection.
Method	`to_trajectories`	Creates a view that contains one clip for each unique object trajectory defined by their `(label, index)` in a frame-level field of a video collection.
Method	`untag_labels`	Removes the tag from all labels in the specified label field(s) of this collection, if necessary.
Method	`untag_samples`	Removes the tag(s) from all samples in this collection, if necessary.
Method	`update_run_config`	Updates the run config for the run with the given key.
Method	`validate_field_type`	Validates that the collection has a field of the given type.
Method	`validate_fields_exist`	Validates that the collection has field(s) with the given name(s).
Method	`values`	Extracts the values of a field from all samples in the collection.
Method	`write_json`	Writes the colllection to disk in JSON format.
Property	`has_annotation_runs`	Whether this collection has any annotation runs.
Property	`has_brain_runs`	Whether this collection has any brain runs.
Property	`has_evaluations`	Whether this collection has any evaluation results.
Property	`has_runs`	Whether this collection has any runs.
Async Method	`_async_aggregate`	Undocumented
Method	`_build_aggregation`	Undocumented
Method	`_build_batch_pipeline`	Undocumented
Method	`_build_big_pipeline`	Undocumented
Method	`_build_facets`	Undocumented
Method	`_contains_media_type`	Undocumented
Method	`_contains_videos`	Undocumented
Method	`_delete_labels`	Undocumented
Method	`_do_get_dynamic_field_schema`	Undocumented
Method	`_edit_label_tags`	Undocumented
Method	`_edit_sample_tags`	Undocumented
Method	`_expand_schema_from_values`	Undocumented
Method	`_get_db_fields_map`	Undocumented
Method	`_get_default_field`	Undocumented
Method	`_get_default_frame_fields`	Undocumented
Method	`_get_default_indexes`	Undocumented
Method	`_get_default_sample_fields`	Undocumented
Method	`_get_dynamic_field_schema`	Undocumented
Method	`_get_extremum`	Undocumented
Method	`_get_frame_label_field_schema`	Undocumented
Method	`_get_frames_bytes`	Computes the total size of the frame documents in the collection.
Method	`_get_geo_location_field`	Undocumented
Method	`_get_group_slices`	Undocumented
Method	`_get_label_attributes_schema`	Undocumented
Method	`_get_label_field_path`	Undocumented
Method	`_get_label_field_root`	Undocumented
Method	`_get_label_field_schema`	Undocumented
Method	`_get_label_field_type`	Undocumented
Method	`_get_label_fields`	Undocumented
Method	`_get_label_ids`	Undocumented
Method	`_get_media_fields`	Undocumented
Method	`_get_per_frame_bytes`	Returns a dictionary mapping frame IDs to document sizes (in bytes) for each frame in the video collection.
Method	`_get_per_sample_bytes`	Returns a dictionary mapping sample IDs to document sizes (in bytes) for each sample in the collection.
Method	`_get_per_sample_frames_bytes`	Returns a dictionary mapping sample IDs to total frame document sizes (in bytes) for each sample in the video collection.
Method	`_get_root_field_type`	Undocumented
Method	`_get_root_fields`	Undocumented
Method	`_get_samples_bytes`	Computes the total size of the sample documents in the collection.
Method	`_get_selected_labels`	Undocumented
Method	`_get_store`	Undocumented
Method	`_get_values_by_id`	Undocumented
Method	`_handle_db_field`	Undocumented
Method	`_handle_db_fields`	Undocumented
Method	`_handle_frame_field`	Undocumented
Method	`_handle_group_field`	Undocumented
Method	`_handle_id_fields`	Undocumented
Method	`_has_field`	Undocumented
Method	`_has_frame_fields`	Undocumented
Method	`_has_stores`	Undocumented
Method	`_is_default_field`	Undocumented
Method	`_is_frame_field`	Undocumented
Method	`_is_full_collection`	Undocumented
Method	`_is_group_field`	Undocumented
Method	`_is_label_field`	Undocumented
Method	`_is_read_only_field`	Undocumented
Method	`_list_stores`	Undocumented
Method	`_make_and_aggregate`	Undocumented
Method	`_make_set_field_pipeline`	Undocumented
Method	`_max`	Undocumented
Method	`_min`	Undocumented
Method	`_parse_aggregations`	Undocumented
Method	`_parse_big_result`	Undocumented
Method	`_parse_default_mask_targets`	Undocumented
Method	`_parse_default_skeleton`	Undocumented
Method	`_parse_faceted_result`	Undocumented
Method	`_parse_field`	Undocumented
Method	`_parse_field_name`	Undocumented
Method	`_parse_frame_labels_field`	Undocumented
Method	`_parse_label_field`	Undocumented
Method	`_parse_mask_targets`	Undocumented
Method	`_parse_media_field`	Undocumented
Method	`_parse_skeletons`	Undocumented
Method	`_process_aggregations`	Undocumented
Method	`_serialize_default_mask_targets`	Undocumented
Method	`_serialize_default_skeleton`	Undocumented
Method	`_serialize_field_schema`	Undocumented
Method	`_serialize_frame_field_schema`	Undocumented
Method	`_serialize_mask_targets`	Undocumented
Method	`_serialize_schema`	Undocumented
Method	`_serialize_skeletons`	Undocumented
Method	`_set_doc_values`	Undocumented
Method	`_set_frame_values`	Undocumented
Method	`_set_label_list_values`	Undocumented
Method	`_set_labels`	Undocumented
Method	`_set_list_values_by_id`	Undocumented
Method	`_set_sample_values`	Undocumented
Method	`_set_values`	Undocumented
Method	`_split_frame_fields`	Undocumented
Method	`_sync_dataset_last_modified_at`	Undocumented
Method	`_sync_samples_last_modified_at`	Undocumented
Method	`_to_fields_str`	Undocumented
Method	`_unwind_values`	Undocumented
Method	`_validate_root_field`	Undocumented
Constant	`_FRAMES_PREFIX`	Undocumented
Constant	`_GROUPS_PREFIX`	Undocumented
Property	`_element_str`	Undocumented
Property	`_elements_str`	Undocumented