fiftyone.brain.internal.core.leaky_splits¶

Finds leaks between splits.

Copyright 2017-2024, Voxel51, Inc.
voxel51.com

Functions:

compute_leaky_splits(samples, splits[, …])

See fiftyone/brain/__init__.py.

Classes:

`LeakySplitsConfig`([splits, …])
`LeakySplits`(config)
`LeakySplitsIndex`(samples, config, …)

fiftyone.brain.internal.core.leaky_splits.compute_leaky_splits(samples, splits, threshold=None, roi_field=None, embeddings=None, similarity_index=None, model=None, model_kwargs=None, force_square=False, alpha=None, batch_size=None, num_workers=None, skip_failures=True, progress=None)¶: See fiftyone/brain/__init__.py.

class fiftyone.brain.internal.core.leaky_splits.LeakySplitsConfig(splits=None, embeddings_field=None, similarity_index=None, model=None, model_kwargs=None, **kwargs)¶

Bases: fiftyone.core.brain.BrainMethodConfig

Attributes:

`type`	The type of run.
`method`	The name of the method.
`cls`	The fully-qualified name of this `BaseRunConfig` class.
`run_cls`	The `BaseRun` class associated with this config.

Methods:

`attributes`()	Returns the list of class attributes that will be serialized by `serialize()`.
`base_config_cls`(type)	Returns the config class for the given run type.
`build`()	Builds the `BaseRun` instance associated with this config.
`builder`()	Returns a ConfigBuilder instance for this class.
`copy`()	Returns a deep copy of the object.
`custom_attributes`([dynamic, private])	Returns a customizable list of class attributes.
`default`()	Returns the default config instance.
`from_dict`(d)	Constructs a `BaseRunConfig` from a serialized JSON dict representation of it.
`from_json`(path, args, *kwargs)	Constructs a Serializable object from a JSON file.
`from_kwargs`(**kwargs)	Constructs a Config object from keyword arguments.
`from_str`(s, args, *kwargs)	Constructs a Serializable object from a JSON string.
`get_class_name`()	Returns the fully-qualified class name string of this object.
`load_credentials`(**kwargs)	Loads any necessary credentials from the given keyword arguments or the relevant FiftyOne config.
`load_default`()	Loads the default config instance from file.
`parse_array`(d, key[, default])	Parses a raw array attribute.
`parse_bool`(d, key[, default])	Parses a boolean value.
`parse_categorical`(d, key, choices[, default])	Parses a categorical JSON field, which must take a value from among the given choices.
`parse_dict`(d, key[, default])	Parses a dictionary attribute.
`parse_int`(d, key[, default])	Parses an integer attribute.
`parse_mutually_exclusive_fields`(fields)	Parses a mutually exclusive dictionary of pre-parsed fields, which must contain exactly one field with a truthy value.
`parse_number`(d, key[, default])	Parses a number attribute.
`parse_object`(d, key, cls[, default])	Parses an object attribute.
`parse_object_array`(d, key, cls[, default])	Parses an array of objects.
`parse_object_dict`(d, key, cls[, default])	Parses a dictionary whose values are objects.
`parse_path`(d, key[, default])	Parses a path attribute.
`parse_raw`(d, key[, default])	Parses a raw (arbitrary) JSON field.
`parse_string`(d, key[, default])	Parses a string attribute.
`serialize`([reflective])	Serializes the object into a dictionary.
`to_str`([pretty_print])	Returns a string representation of this object.
`validate_all_or_nothing_fields`(fields)	Validates a dictionary of pre-parsed fields checking that either all or none of the fields have a truthy value.
`write_json`(path[, pretty_print])	Serializes the object and writes it to disk.

property type¶: The type of run.

property method¶: The name of the method.

attributes()¶

Returns the list of class attributes that will be serialized by serialize().

Returns: a list of attributes

static base_config_cls(type)¶

Returns the config class for the given run type.

Parameters: type – a BaseRunConfig.type
Returns: a BaseRunConfig subclass

build()¶

Builds the BaseRun instance associated with this config.

Returns: a BaseRun instance

classmethod builder()¶: Returns a ConfigBuilder instance for this class.

property cls¶: The fully-qualified name of this BaseRunConfig class.

copy()¶

Returns a deep copy of the object.

Returns: a Serializable instance

custom_attributes(dynamic=False, private=False)¶

Returns a customizable list of class attributes.

By default, all attributes in vars(self) are returned, minus private attributes (those starting with “_”).

Parameters

dynamic – whether to include dynamic properties, e.g., those defined by getter/setter methods or the @property decorator. By default, this is False
private – whether to include private properties, i.e., those starting with “_”. By default, this is False

Returns

a list of class attributes

classmethod default()¶

Returns the default config instance.

By default, this method instantiates the class from an empty dictionary, which will only succeed if all attributes are optional. Otherwise, subclasses should override this method to provide the desired default configuration.

classmethod from_dict(d)¶

Constructs a BaseRunConfig from a serialized JSON dict representation of it.

Parameters: d – a JSON dict
Returns: a BaseRunConfig

classmethod from_json(path, *args, **kwargs)¶

Constructs a Serializable object from a JSON file.

Subclasses may override this method, but, by default, this method simply reads the JSON and calls from_dict(), which subclasses must implement.

Parameters

path – the path to the JSON file on disk
*args – optional positional arguments for self.from_dict()
**kwargs – optional keyword arguments for self.from_dict()

Returns

an instance of the Serializable class

classmethod from_kwargs(**kwargs)¶

Constructs a Config object from keyword arguments.

Parameters: **kwargs – keyword arguments that define the fields expected by cls
Returns: an instance of cls

classmethod from_str(s, *args, **kwargs)¶

Constructs a Serializable object from a JSON string.

Subclasses may override this method, but, by default, this method simply parses the string and calls from_dict(), which subclasses must implement.

Parameters

s – a JSON string representation of a Serializable object
*args – optional positional arguments for self.from_dict()
**kwargs – optional keyword arguments for self.from_dict()

Returns

an instance of the Serializable class

classmethod get_class_name()¶: Returns the fully-qualified class name string of this object.

load_credentials(**kwargs)¶

Loads any necessary credentials from the given keyword arguments or the relevant FiftyOne config.

Parameters: **kwargs – subclass-specific credentials

classmethod load_default()¶

Loads the default config instance from file.

Subclasses must implement this method if they intend to support default instances.

static parse_array(d, key, default=<eta.core.config.NoDefault object>)¶

Parses a raw array attribute.

Parameters

d – a JSON dictionary
key – the key to parse
default – a default list to return if key is not present

Returns

a list of raw (untouched) values

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

static parse_bool(d, key, default=<eta.core.config.NoDefault object>)¶

Parses a boolean value.

Parameters

d – a JSON dictionary
key – the key to parse
default – a default bool to return if key is not present

Returns

True/False

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

static parse_categorical(d, key, choices, default=<eta.core.config.NoDefault object>)¶

Parses a categorical JSON field, which must take a value from among the given choices.

Parameters

d – a JSON dictionary
key – the key to parse
choices – either an iterable of possible values or an enum-like class whose attributes define the possible values
default – a default value to return if key is not present

Returns

the raw (untouched) value of the given field, which is equal to a value from choices

Raises

ConfigError – if the key was present in the dictionary but its value was not an allowed choice, or if no default value was provided and the key was not found in the dictionary

static parse_dict(d, key, default=<eta.core.config.NoDefault object>)¶

Parses a dictionary attribute.

Parameters

d – a JSON dictionary
key – the key to parse
default – a default dict to return if key is not present

Returns

a dictionary

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

static parse_int(d, key, default=<eta.core.config.NoDefault object>)¶

Parses an integer attribute.

Parameters

d – a JSON dictionary
key – the key to parse
default – a default integer value to return if key is not present

Returns

an int

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

static parse_mutually_exclusive_fields(fields)¶

Parses a mutually exclusive dictionary of pre-parsed fields, which must contain exactly one field with a truthy value.

Parameters: fields – a dictionary of pre-parsed fields
Returns: the (field, value) that was set
Raises: ConfigError – if zero or more than one truthy value was found

static parse_number(d, key, default=<eta.core.config.NoDefault object>)¶

Parses a number attribute.

Parameters

d – a JSON dictionary
key – the key to parse
default – a default numeric value to return if key is not present

Returns

a number (e.g. int, float)

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

static parse_object(d, key, cls, default=<eta.core.config.NoDefault object>)¶

Parses an object attribute.

The value of d[key] can be either an instance of cls or a serialized dict from an instance of cls.

Parameters

d – a JSON dictionary
key – the key to parse
cls – the class of d[key]
default – a default cls instance to return if key is not present

Returns

an instance of cls

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

static parse_object_array(d, key, cls, default=<eta.core.config.NoDefault object>)¶

Parses an array of objects.

The values in d[key] can be either instances of cls or serialized dicts from instances of cls.

Parameters

d – a JSON dictionary
key – the key to parse
cls – the class of the elements of list d[key]
default – the default list to return if key is not present

Returns

a list of cls instances

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

static parse_object_dict(d, key, cls, default=<eta.core.config.NoDefault object>)¶

Parses a dictionary whose values are objects.

The values in d[key] can be either instances of cls or serialized dicts from instances of cls.

Parameters

d – a JSON dictionary
key – the key to parse
cls – the class of the values of dictionary d[key]
default – the default dict of cls instances to return if key is not present

Returns

a dictionary whose values are cls instances

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

static parse_path(d, key, default=<eta.core.config.NoDefault object>)¶

Parses a path attribute.

The path is converted to an absolute path if necessary via os.path.abspath(os.path.expanduser(value)).

Parameters

d – a JSON dictionary
key – the key to parse
default – a default string to return if key is not present

Returns

a path string

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

static parse_raw(d, key, default=<eta.core.config.NoDefault object>)¶

Parses a raw (arbitrary) JSON field.

Parameters

d – a JSON dictionary
key – the key to parse
default – a default value to return if key is not present

Returns

the raw (untouched) value of the given field

Raises

ConfigError – if no default value was provided and the key was not found in the dictionary

static parse_string(d, key, default=<eta.core.config.NoDefault object>)¶

Parses a string attribute.

Parameters

d – a JSON dictionary
key – the key to parse
default – a default string to return if key is not present

Returns

a string

Raises

ConfigError – if the field value was the wrong type or no default value was provided and the key was not found in the dictionary

property run_cls¶: The BaseRun class associated with this config.

serialize(reflective=False)¶

Serializes the object into a dictionary.

Serialization is applied recursively to all attributes in the object, including element-wise serialization of lists and dictionary values.

Parameters: reflective – whether to include reflective attributes when serializing the object. By default, this is False
Returns: a JSON dictionary representation of the object

to_str(pretty_print=True, **kwargs)¶

Returns a string representation of this object.

Parameters

pretty_print – whether to render the JSON in human readable format with newlines and indentations. By default, this is True
**kwargs – optional keyword arguments for self.serialize()

Returns

a string representation of the object

static validate_all_or_nothing_fields(fields)¶

Validates a dictionary of pre-parsed fields checking that either all or none of the fields have a truthy value.

Parameters: fields – a dictionary of pre-parsed fields
Raises: ConfigError – if some values are truth and some are not

write_json(path, pretty_print=False, **kwargs)¶

Serializes the object and writes it to disk.

Parameters

path – the output path
pretty_print – whether to render the JSON in human readable format with newlines and indentations. By default, this is False
**kwargs – optional keyword arguments for self.serialize()

class fiftyone.brain.internal.core.leaky_splits.LeakySplits(config)¶

Bases: fiftyone.core.brain.BrainMethod

Methods:

`initialize`(samples, similarity_index, …)
`get_fields`(samples, _)	Gets the fields that were involved in the given run.
`cleanup`(samples, key)	Cleans up the results of the run with the given key from the collection.
`delete_run`(samples, key[, cleanup])	Deletes the results associated with the given run key from the collection.
`delete_runs`(samples[, cleanup])	Deletes all runs from the collection.
`ensure_requirements`()	Ensures that any necessary packages to execute this run are installed.
`ensure_usage_requirements`()	Ensures that any necessary packages to use existing results for this run are installed.
`from_config`(config)	Instantiates a Configurable class from a <cls>Config instance.
`from_dict`(d)	Instantiates a Configurable class from a <cls>Config dict.
`from_json`(json_path)	Instantiates a Configurable class from a <cls>Config JSON file.
`from_kwargs`(**kwargs)	Instantiates a Configurable class from keyword arguments defining the attributes of a <cls>Config.
`get_run_info`(samples, key)	Gets the `BaseRunInfo` for the given key on the collection.
`has_cached_run_results`(samples, key)	Determines whether `BaseRunResults` for the given key are cached on the collection.
`list_runs`(samples[, type, method])	Returns the list of run keys on the given collection.
`load_run_results`(samples, key[, cache, …])	Loads the `BaseRunResults` for the given key on the collection.
`load_run_view`(samples, key[, select_fields])	Loads the `fiftyone.core.view.DatasetView` on which the specified run was performed.
`parse`(class_name[, module_name])	Parses a Configurable subclass name string.
`register_run`(samples, key[, overwrite, cleanup])	Registers a run of this method under the given key on the given collection.
`rename`(samples, key, new_key)	Performs any necessary operations required to rename this run’s key.
`run_info_cls`()	The `BaseRunInfo` class associated with this class.
`save_run_info`(samples, run_info[, …])	Saves the run information on the collection.
`save_run_results`(samples, key, run_results)	Saves the run results on the collection.
`update_run_config`(samples, key, config)	Updates the `BaseRunConfig` for the given run on the collection.
`update_run_key`(samples, key, new_key)	Replaces the key for the given run with a new key.
`validate`(config)	Validates that the given config is an instance of <cls>Config.
`validate_run`(samples, key[, overwrite])	Validates that the collection can accept this run.

initialize(samples, similarity_index, split_views)¶

get_fields(samples, _)¶

Gets the fields that were involved in the given run.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key

Returns

a list of fields

cleanup(samples, key)¶

Cleans up the results of the run with the given key from the collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key

classmethod delete_run(samples, key, cleanup=True)¶

Deletes the results associated with the given run key from the collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key
cleanup (True) – whether to execute the run’s BaseRun.cleanup() method

classmethod delete_runs(samples, cleanup=True)¶

Deletes all runs from the collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
cleanup (True) – whether to execute the run’s BaseRun.cleanup() methods

ensure_requirements()¶

Ensures that any necessary packages to execute this run are installed.

Runs should respect fiftyone.config.requirement_error_level when handling errors.

ensure_usage_requirements()¶

Ensures that any necessary packages to use existing results for this run are installed.

Runs should respect fiftyone.config.requirement_error_level when handling errors.

classmethod from_config(config)¶: Instantiates a Configurable class from a <cls>Config instance.

classmethod from_dict(d)¶

Instantiates a Configurable class from a <cls>Config dict.

Parameters: d – a dict to construct a <cls>Config
Returns: an instance of cls

classmethod from_json(json_path)¶

Instantiates a Configurable class from a <cls>Config JSON file.

Parameters: json_path – path to a JSON file for type <cls>Config
Returns: an instance of cls

classmethod from_kwargs(**kwargs)¶

Instantiates a Configurable class from keyword arguments defining the attributes of a <cls>Config.

Parameters: **kwargs – keyword arguments that define the fields of a <cls>Config dict
Returns: an instance of cls

classmethod get_run_info(samples, key)¶

Gets the BaseRunInfo for the given key on the collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key

Returns

a BaseRunInfo

classmethod has_cached_run_results(samples, key)¶

Determines whether BaseRunResults for the given key are cached on the collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key

Returns

True/False

classmethod list_runs(samples, type=None, method=None, **kwargs)¶

Returns the list of run keys on the given collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
type (None) –
a specific run type to match, which can be:
- a string fiftyone.core.runs.BaseRunConfig.type
- a fiftyone.core.runs.BaseRun class or its fully-qualified class name string
method (None) – a specific fiftyone.core.runs.BaseRunConfig.method string to match
**kwargs – optional config parameters to match

Returns

a list of run keys

classmethod load_run_results(samples, key, cache=True, load_view=True, **kwargs)¶

Loads the BaseRunResults for the given key on the collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key
cache (True) – whether to cache the results on the collection
load_view (True) – whether to load the run view in the results (True) or the full dataset (False)
**kwargs – keyword arguments for the run’s BaseRunConfig.load_credentials() method

Returns

a BaseRunResults, or None if the run did not save results

classmethod load_run_view(samples, key, select_fields=False)¶

Loads the fiftyone.core.view.DatasetView on which the specified run was performed.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key
select_fields (False) – whether to exclude fields involved in other runs of the same type

Returns

a fiftyone.core.view.DatasetView

static parse(class_name, module_name=None)¶

Parses a Configurable subclass name string.

Assumes both the Configurable class and the Config class are defined in the same module. The module containing the classes will be loaded if necessary.

Parameters

class_name – a string containing the name of the Configurable class, e.g. “ClassName”, or a fully-qualified class name, e.g. “eta.core.config.ClassName”
module_name – a string containing the fully-qualified module name, e.g. “eta.core.config”, or None if class_name includes the module name. Set module_name = __name__ to load a class from the calling module

Returns

the Configurable class config_cls: the Config class associated with cls

Return type

cls

register_run(samples, key, overwrite=True, cleanup=True)¶

Registers a run of this method under the given key on the given collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key
overwrite (True) – whether to allow overwriting an existing run of the same type
cleanup (True) – whether to execute an existing run’s BaseRun.cleanup() method when overwriting it

rename(samples, key, new_key)¶

Performs any necessary operations required to rename this run’s key.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key
new_key – a new run key

classmethod run_info_cls()¶: The BaseRunInfo class associated with this class.

classmethod save_run_info(samples, run_info, overwrite=True, cleanup=True)¶

Saves the run information on the collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
run_info – a BaseRunInfo
overwrite (True) – whether to overwrite an existing run with the same key
cleanup (True) – whether to execute an existing run’s BaseRun.cleanup() method when overwriting it

classmethod save_run_results(samples, key, run_results, overwrite=True, cache=True)¶

Saves the run results on the collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key
run_results – a BaseRunResults, or None
overwrite (True) – whether to overwrite an existing result with the same key
cache (True) – whether to cache the results on the collection

classmethod update_run_config(samples, key, config)¶

Updates the BaseRunConfig for the given run on the collection.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key
config – a BaseRunConfig

classmethod update_run_key(samples, key, new_key)¶

Replaces the key for the given run with a new key.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key
new_key – a new run key

classmethod validate(config)¶

Validates that the given config is an instance of <cls>Config.

Raises: ConfigurableError – if config is not an instance of <cls>Config

validate_run(samples, key, overwrite=True)¶

Validates that the collection can accept this run.

The run may be invalid if, for example, a run of a different type has already been run under the same key and thus overwriting it would cause ambiguity on how to cleanup the results.

Parameters

samples – a fiftyone.core.collections.SampleCollection
key – a run key
overwrite (True) – whether to allow overwriting an existing run of the same type

Raises

ValueError – if the run is invalid

class fiftyone.brain.internal.core.leaky_splits.LeakySplitsIndex(samples, config, similarity_index, split_views)¶

Bases: fiftyone.core.brain.BrainResults

Attributes:

`split_views`	A dict mapping split names to views.
`thresh`	The threshold used by the last call to `find_leaks()`.
`leak_ids`	The list of leaky sample IDs from the last call to `find_leaks()`.
`backend`	The `BaseRun` for these results.
`cls`	The fully-qualified name of this `BaseRunResults` class.
`config`	The `BaseRunConfig` for these results.
`key`	The run key for these results.
`samples`	The `fiftyone.core.collections.SampleCollection` associated with these results.

Methods:

`find_leaks`(thresh)	Scans the index for leaks between splits.
`leaks_view`()	Returns a view containg all potential leaks generated by the last call to `find_leaks()`.
`leaks_for_sample`(sample_or_id)	Returns a view that contains all leaks related to the given sample.
`no_leaks_view`([view])	Returns a view with leaks excluded.
`tag_leaks`([tag])	Tags all potential leaks in `leaks_view()` with the given tag.
`attributes`()	Returns the list of class attributes that will be serialized by `serialize()`.
`base_results_cls`(type)	Returns the results class for the given run type.
`copy`()	Returns a deep copy of the object.
`custom_attributes`([dynamic, private])	Returns a customizable list of class attributes.
`from_dict`(d, samples, config, key)	Builds a `BaseRunResults` from a JSON dict representation of it.
`from_json`(path, args, *kwargs)	Constructs a Serializable object from a JSON file.
`from_str`(s, args, *kwargs)	Constructs a Serializable object from a JSON string.
`get_class_name`()	Returns the fully-qualified class name string of this object.
`save`()	Saves the results to the database.
`save_config`()	Saves these results config to the database.
`serialize`([reflective])	Serializes the object into a dictionary.
`to_str`([pretty_print])	Returns a string representation of this object.
`write_json`(path[, pretty_print])	Serializes the object and writes it to disk.

property split_views¶: A dict mapping split names to views.

property thresh¶: The threshold used by the last call to find_leaks().

property leak_ids¶: The list of leaky sample IDs from the last call to find_leaks().

find_leaks(thresh)¶

Scans the index for leaks between splits.

Parameters: thresh – the similarity distance threshold to use when detecting potential leaks

leaks_view()¶

Returns a view containg all potential leaks generated by the last call to find_leaks().

Returns: a fiftyone.core.view.DatasetView

leaks_for_sample(sample_or_id)¶

Returns a view that contains all leaks related to the given sample.

The given sample is always first in the returned view, followed by any related leaks.

Parameters: sample_or_id – a fiftyone.core.sample.Sample or sample ID
Returns: a fiftyone.core.view.DatasetView

no_leaks_view(view=None)¶

Returns a view with leaks excluded.

Parameters: view (None) – an optional fiftyone.core.view.DatasetView from which to exclude. By default, samples() is used

tag_leaks(tag='leak')¶

Tags all potential leaks in leaks_view() with the given tag.

Parameters: tag ("leak") – the tag string to apply

attributes()¶

Returns the list of class attributes that will be serialized by serialize().

Returns: a list of attributes

property backend¶: The BaseRun for these results.

static base_results_cls(type)¶

Returns the results class for the given run type.

Parameters: type – a BaseRunConfig.type
Returns: a BaseRunResults subclass

property cls¶: The fully-qualified name of this BaseRunResults class.

property config¶: The BaseRunConfig for these results.

copy()¶

Returns a deep copy of the object.

Returns: a Serializable instance

custom_attributes(dynamic=False, private=False)¶

Returns a customizable list of class attributes.

By default, all attributes in vars(self) are returned, minus private attributes (those starting with “_”).

Parameters

dynamic – whether to include dynamic properties, e.g., those defined by getter/setter methods or the @property decorator. By default, this is False
private – whether to include private properties, i.e., those starting with “_”. By default, this is False

Returns

a list of class attributes

classmethod from_dict(d, samples, config, key)¶

Builds a BaseRunResults from a JSON dict representation of it.

Parameters

d – a JSON dict
samples – the fiftyone.core.collections.SampleCollection for the run
config – the BaseRunConfig for the run
key – the run key

Returns

a BaseRunResults

classmethod from_json(path, *args, **kwargs)¶

Constructs a Serializable object from a JSON file.

Subclasses may override this method, but, by default, this method simply reads the JSON and calls from_dict(), which subclasses must implement.

Parameters

path – the path to the JSON file on disk
*args – optional positional arguments for self.from_dict()
**kwargs – optional keyword arguments for self.from_dict()

Returns

an instance of the Serializable class

classmethod from_str(s, *args, **kwargs)¶

Constructs a Serializable object from a JSON string.

Subclasses may override this method, but, by default, this method simply parses the string and calls from_dict(), which subclasses must implement.

Parameters

s – a JSON string representation of a Serializable object
*args – optional positional arguments for self.from_dict()
**kwargs – optional keyword arguments for self.from_dict()

Returns

an instance of the Serializable class

classmethod get_class_name()¶: Returns the fully-qualified class name string of this object.

property key¶: The run key for these results.

property samples¶: The fiftyone.core.collections.SampleCollection associated with these results.

save()¶: Saves the results to the database.

save_config()¶: Saves these results config to the database.

serialize(reflective=False)¶

Serializes the object into a dictionary.

Serialization is applied recursively to all attributes in the object, including element-wise serialization of lists and dictionary values.

Parameters: reflective – whether to include reflective attributes when serializing the object. By default, this is False
Returns: a JSON dictionary representation of the object

to_str(pretty_print=True, **kwargs)¶

Returns a string representation of this object.

Parameters

pretty_print – whether to render the JSON in human readable format with newlines and indentations. By default, this is True
**kwargs – optional keyword arguments for self.serialize()

Returns

a string representation of the object

write_json(path, pretty_print=False, **kwargs)¶

Serializes the object and writes it to disk.

Parameters

path – the output path
pretty_print – whether to render the JSON in human readable format with newlines and indentations. By default, this is False
**kwargs – optional keyword arguments for self.serialize()