Image Property Issue Manager#
Functions:
|
|
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Classes:
- cleanvision.issue_managers.image_property_issue_manager.compute_scores(index, dataset, to_compute, image_properties)[source]#
- Return type:
Dict
[str
,Union
[str
,int
,float
]]
- cleanvision.issue_managers.image_property_issue_manager.compute_scores_wrapper(args)[source]#
- Return type:
Dict
[str
,Union
[str
,int
,float
]]
- class cleanvision.issue_managers.image_property_issue_manager.ImagePropertyIssueManager[source]#
Bases:
IssueManager
Attributes:
Methods:
Returns default params to be used by the issue_manager
update_params
(params)Sets params for an issue manager.
find_issues
(*[, params, dataset, ...])Finds occurrences of this particular issue in the dataset.
update_issues
(agg_computations, issue_types)Updates self.issues with score and is_issue columns
update_info
(agg_computations)Updates self.info using computed properties
- rtype:
None
check_params
(**kwargs)- rtype:
None
-
issue_name:
str
= 'image_property'#
-
visualization:
str
= 'individual_images'#
-
issue_types:
List
[str
]#
- get_default_params()[source]#
Returns default params to be used by the issue_manager
- Return type:
Dict
[str
,Any
]
- update_params(params)[source]#
Sets params for an issue manager. Default params will be overridden by user provided params
- Return type:
None
- find_issues(*, params=None, dataset=None, imagelab_info=None, n_jobs=None, **kwargs)[source]#
Finds occurrences of this particular issue in the dataset.
- Return type:
None
- update_issues(agg_computations, issue_types)[source]#
Updates self.issues with score and is_issue columns
- Parameters:
agg_computations (pd.DataFrame) – This dataframe contains all computed properties like blurriness, brightness as columns for each image that are required for computing issue scores.
issue_types (List[str]) – List of issue types for which to update self.issues
- Return type:
None
- update_info(agg_computations)[source]#
Updates self.info using computed properties
- Parameters:
agg_computations (pd.DataFrame) – This dataframe contains all computed properties like blurriness, brightness as columns for each image that are required for computing issue scores.
- Return type:
None
- static check_params(**kwargs)#
- Return type:
None
-
info:
Dict
[str
,Dict
[str
,Any
]]#
-
issues:
DataFrame
#
-
summary:
DataFrame
#