Changelog

Picsellia SDK Python is a library that allows users to connect to Picsellia backend.

All notable changes to this project will be documented in this file.

[6.5.0] - 2023-03-15

Added

• Jobs are now handled differently in Picsellia platform
• get_dataset_version_by_id can be done in Client
• get_model_version_by_id can be done in Client
• get_experiment_by_id can be done in Client
• Import yolo files with import_annotations_yolo_files
• upload_data can be called with an ErrorManager to retrieve errors after upload.

Fix

• Pascal VOC files parsing allows some fields to not be set
• 502 errors were not handled correctly
• Uploading images that were transposed now correctly send width and height on the platform

Changed

• Downloading files has a new retry policy
• When importing YOLO, COCO or Pascal VOC files, you need to set type of dataset before.
• Some refactor on import annotations, it should be faster now !

[6.4.2] - 2023-03-03

Changed

• Return line after logging chapter
• Allow parameter enforced_ordered_categories on build_coco_file_locally() to enforce categories of built coco file.

Fixed

• Do a paginated call in dataset version train_test_split when loading assets
• Method set_type of dataset version was failing when logging result if a string was given

[6.4.1] - 2023-02-17

Fix

• Some methods were using types not compatible with python older than 3.8

[6.4.0] - 2023-02-16

Added

• DatasetVersion list_assets() will call XGET method when filtering on filenames or object_names, to not have the limit size query error.

Fix

• Datalake upload_data() now allow effectively a Datasource
• Import annotations was limited to 10 000 annotations because find_assets() was used. It is now using list_assets() which is paginated.

Changed

• Deployment update() cannot change active anymore.

Deprecated

• DatasetVersion find_all_assets()

Experimental

• DatasetVersion build_coco_file_locally() will create a COCOFile object that can be written in a json file

[6.3.2] - 2023-01-31

Added

• Experiment.export_in_existing_model() method will create a version of given model when exporting experiment.
• Datalake list_data() can be used to filter on object_names.

Fix

• ModelVersion.store() was not using replace parameter correctly, it will now delete existing model file if it exists

Changed

• All max_workers parameters are now None by default, to use cpu count + 4 as default value
• Datalake list_data() will call XGET method when filtering on filenames or object_names, to not have the limit size query error.

Removed

• AnnotationStatus.REVIEWED status was never really used and is now removed from Picsellia.

[6.3.1] - 2023-01-20

This is a patch to fix download dataset on huge datasets

Fix

• as_multidata now uses xget to retrieve all datas with given list of ids

Changed

• as_multidata is not called in download from DatasetVersion

[6.3.0] - 2023-01-19

Happy new year from the Picsellia Team !
This minor version add some useful methods and fix specified COCOFile format.

Added

• List public models with list_public_models() from the Picsellia Hub in Client.
• Find public model with find_public_model() from the Picsellia Hub in Client.
• Convert MultiAsset into MultiData with as_multidata() and as_list_of_data()
• Allow asset tags to be added when adding data to a dataset with add_data()
• Method __repr__ has been added to MultiObjects
• Property labels in ModelVersion objects
• Add get_dataset in ModelContext to get DatasetVersion from its attached name

Fix

• breaking: COCOFile was wrongly specified: in annotations, only one segmentation was allowed for each shape,
  but COCOFile allows multiple polygons. Now you need to give a list of list of coordinates instead of only one list of coordinates.
  import_annotations_coco_file() should now work fine with COCO files with segmentation.
• Add AuthenticationError again in exceptions, which was used by picsellia-tf2

Changed

• may be breaking: Default value of force_create_label is now True in import_annotations_coco_file and import_annotation_voc_file.
• Rename retrieve_experiment into get_experiment in ModelContext
• retrieve_datasets in ModelContext now return a dict with attached name as key and dataset version as value
• download() a DatasetVersion is not calling assets extended endpoints which was taking a lot of time on huge datasets.
• Imports order with pre-commit cln tool
• Doc generation with all properties docstring

[6.2.1] - 2022-27-12

Fixed

• Fixed .predict() behavior by removing mandatory parameters tags and source

[6.2.0] - 2022-27-12

Added

• Add docker env variables support on ModelVersion
• Add an experiment.log_parameters() to use experiment.log() with parameters more easily
• Add possibility to attach base parameters when experiment.attach_model()
• Add feedbackloop method check status
• Add __repr__ methods to DAO objects, for better UX representation
• Add possibility to set tags and source when sending a prediction to serving
• Add get_or_create_datasource() in client

Changed

• Rename experiment.publish() into experiment.export_as_model()
• Some changes on feedbackloop methods
• Method list_data and list_assets can now use parameter intersect_tags to find objects that have all tags given
• Allow Path object in every method that accept path as string
• Some exceptions were renamed, some useless were removed

[6.1.2] - 2022-11-10

Fixed

• Use of typing.List instead of list to support python < 3.9

[6.1.1] - 2022-11-10

Added

• Add convert_tags_to_classification() in dataset version
• Add get_data_tags() on asset

Changed

• Github workflow

[6.1.0] - 2022-11-01

Added

• Add ONXX in Framework enums
• Possibility to use strings instead of enums in methods

Changed

• Make duration optional in annotation creation/update/overwrite
• Make duration int compatible
• log() method now create, update or append a log, in only one call to backend
• Remove create_log method
• Optional type hint is now used everywhere
• Prevent user from updating log image via log.update(), only experiment.log can be used for this case

Fixed

• In log() method, image type data stored bad values

[6.0.2] - 2022-10-17

Added

• Logging File for an Experiment

Changed

• A lot of typos, variable naming, minor formatting
• String .format() into f-strings
• Old package dependencies
• train_test_split() return MultiAsset instead of List[Asset]

Fixed

• Regeneration of JWT when expired
• When downloading file, open file only if response is ok

[6.0.1] - 2022-10-04

Added

• CHANGELOG file.

Changed

• Fixed test_train_split with breaking changes of query language in list assets.
• Documentation of core functions, minor typos fixes.
• Workflow for testing on staging when push on development and main.

[6.0.0] - 2022-10-03

Added

• Annotation are now objects storing Rectangle, Polygon, Classification, Point and Line for an Asset
• Artifact are now Experiment files stored
• DatasetVersion are now used as versions of Dataset
• Datalake objects
• Datasource objects
• Job objects, to wait for tasks to end
• ModelVersion are now used as versions of Model
• ScanFiles are now Scan files stored

Changed

• Pictures renamed to Asset that are Data objects in a DatasetVersion
• Multithreading usage
• Tags
• Annotations with objects