eo-learn - Version 1.5.7

• Remove numpy<2 restriction.

- Python
Published by zigaLuksic over 1 year ago

eo-learn - Version 1.5.6

• Limit geopandas version to < 1.0.0

- Python
Published by zigaLuksic over 1 year ago

eo-learn - Version 1.5.5

• SnowMaskTask now correctly handles temporally empty eopatches.

- Python
Published by tsuligoj over 1 year ago

eo-learn - Version 1.5.4

• Minor fixes for documentation

- Python
Published by zigaLuksic almost 2 years ago

eo-learn - Version 1.5.3

• Fix version numpy<2 in anticipation of numpy 2.0 release.

- Python
Published by zigaLuksic about 2 years ago

eo-learn - Version 1.5.2

• RayExecutor can now forward remote kwargs to ray jobs.
• ImportTiffTask no longer uses the use_vsi parameter. The IO part was fully off-loaded to rasterio.
• ImportTiffTask and ExportTiffTask parameter folder was renamed to path. The renaming is backwards compatible for now.

- Python
Published by mlubej over 2 years ago

eo-learn - Version 1.5.1

• MorphologicalFilterTask adapted to work on boolean values.
• Added temporal_subset method to EOPatch, which can be used to extract a subset of an EOPatch by filtering out temporal slices. Also added a corresponding TemporalSubsetTask.
• EOExecutor now has an option to treat TemporalDimensionWarning as an exception.
• String representation of EOPatch objects was revisited to avoid edge cases where the output would print enormous objects.

- Python
Published by zigaLuksic over 2 years ago

eo-learn - Version 1.5.0

The release focuses on making eo-learn much simpler to install, reducing the number of dependencies, and improving validation of soundness of EOPatch data.

• eo-learn is now distributed as a single package. Installation of eo-learn-mask and similar is no longer necessary and users are warned when such installations are detected.
• Changes to timestamps and bbox attributes of EOPatch objects:
  • FeatureType.TIMESTAMPS and FeatureType.BBOX have been deprecated, data should be accessed via attributes. Feature parsers no longer return these values (for instance when calling EOPatch.get_features).
  • EOPatches without temporal information now have a timestamp value of None, whereas a timestamp value [] signifies that the EOPatch has a temporal dimension of 0.
  • Introduced a get_timestamps method that will fail if timestamps are None. This can be used in cases where timestamps are assumed to be present (to avoid issues with type-checking and ill formed inputs).
  • Loading, saving, and copying of EOPatches will take timestamps into account either when processing the full eopatch (i.e. features=...) or if the selection contains a temporal feature. The behavior can be controlled via the load_timestamps/save_timestamps/copy_timestamps parameter.
• Saving and loading of FeatureType.META_INFO now processes each feature as a separate file, allowing better filtering and preventing accidental overwriting.
• The default backend for SpatialResizeTask has been switched to cv2 to reduce the number of dependencies.
• eolearn.geometry.morphology tasks now use cv2 instead of scikit-image to reduce the number of dependencies. The task interfaces have been slightly adjusted.
• Improved reports:
  • Exception grouping is now done by exception origin instead of exception message, resulting in shorter reports.
  • Added execution time statistics per node
• CloudMaskTask has been restricted to mono-temporal predictions using the s2cloudless package. For the multi-temporal one check here.
• Certain tasks (for instance SaveTask and LoadTask) no longer pass arguments to the super-class via **kwargs in order to improve documentation and type-checking.
• SaveTask and LoadTask now raise OSError exceptions instead of IOError.
• Project-specific and outdated EOTasks were moved to extras or to the example repository eo-learn-examples/extra-tasks.
• The submodule eolearn.features.bands_extraction has been renamed to eolearn.features.ndi.
• The submodule eolearn.ml_tools.extra.plotting has been moved to eolearn.visualization.utils.
• Compression of EOPatch files has been hardcoded. The parameter compression_level has been deprecated and has no effect.
• Introduced experimental zarr support for loading/saving temporal slices of temporal features. The API might be changed in future releases.
• Limited rasterio to 1.3.7 due to an issue with importing rasters from AWS S3
• Updated examples, simplified tests, various improvements.

- Python
Published by zigaLuksic over 2 years ago

eo-learn - Version 1.4.2

Changelog:

• Introduced support for Python 3.11.
• Removed support for Python 3.7.
• Added T-Digest EOTask in the scope of the Global Earth Monitor Project, contributed by @meengel.
• Used evalscript generation utility from sentinelhub-py in SH related EOTasks.
• Deprecated the EOPatch.merge method and extracted it as a function.
• Deprecated the OVERWRITE_PATCH permission and enforcing the usage of explicit string permissions.
• Encapsulated FeatureDict class as Mapping, removed inheritance from dict.
• Switched to new-style typed annotations.
• Introduced the ruff python linter, removed flake8 and isort (covered by ruff).
• Fixed issue with occasionally failing scheduled builds on the master branch.
• Various refactoring efforts and dependency improvements.
• Various improvements to tests and code.

- Python
Published by zigaLuksic almost 3 years ago

eo-learn - Version 1.4.1

The future direction of eo-learn will start prioritizing reliability and safety of code. After a lot of debate we decided that EOPatches must be well defined in the sense of geo-spatial information (bounding box) and, when using temporal features, temporal information (timestamps). In this light we decided to slowly adjust the code so that ill-formed EOPatches would occur less often. The end goal is to separate these patch-defining meta-information from other EOPatch features.

In this minor release we added a fair amount of deprecation warnings, that should help users to adapt their code ahead of any big codebreaking changes.

• The codebase is now fully annotated and type annotations are mandatory for all new code.
• In the future EOPatch objects will require a valid bbox. For now the users are warned when no such value is provided.
• SaveTask and LoadTask now automatically save/load the bounding box whenever possible, even if not specified in features parameter. CopyTask and MergeEOPatchesTask also always include the bounding box when possible.
• The EOPatch attribute bbox can no longer be deleted via the del command.
• The EOPatch attribute timestamp was renamed into timestamps. The old name still works, but the users are notified. Similarly for FeatureType.TIMESTAMP which was renamed to FeatureType.TIMESTAMPS.
• Feature parsers from eolearn.core.utils.parsers now support callables as input for allowed_feature_types, which are used for filtration over all feature types. Due to this improvement the class FeatureTypeSet was deprecated.
• Certain rarely used methods of FeatureType were deprecated. Method is_raster has been renamed to is_array and designates feature types that contain numpy arrays. We also added is_image for types that denote temporal and timeless imagery.
• Contributors are no longer listed in file headers, but are instead listed in the CREDITS.md file in the root of the repository.
• Updated CONTRIBUTING.md instructions.
• Various other minor improvements and deprecations.

- Python
Published by zigaLuksic almost 3 years ago

eo-learn - Version 1.4.0

Changelog:

• (codebreaking) Complete overhaul of eolearn.coregistration. See documentation for details.
• (codebreaking) Removed non-working HVPlot backend for eolearn.visualization.
• (codebreaking) The SpatialResizeTask had a bug when resizing w.r.t resolution. The issue was fixed and the signature of the task was redesigned to better avoid mistakes. See documentation for details.
• (codebreaking) The EOPatch methods get_features and get_feature_list were recombined into a new get_features method. The method get_time_series was removed. See documentation for details.
• (codebreaking) Removed unsound use_int_coords option in eolearn.ml_tools.sampling.random_point_in_triangle.
• Added ability to specify query in execute method of MeteoblueTask.
• SentinelHubInputTask no longer saves redundant data into meta-features.
• Module eolearn.core.utils.types was moved to eolearn.core.types. Old one will be removed in the future.
• Switched opencv-contrib-python-headless requirement to opencv-python-headless
• Added type annotations to most of the code base.
• Various improvements to tests and code.

- Python
Published by zigaLuksic about 3 years ago

eo-learn - Version 1.3.1

Changelog:

• Sentinel Hub IO tasks now support a custom timestamp filtration via timestamp_filter parameter, contributed by @ColinMoldenhauer.
• MergeFeatureTask now supports the axis parameter.
• Fix minor issues with the coregistration module.
• Prepare for future removal of sentinelhub.os_utils.
• Fix type annotations after mypy update.
• Improvements to tests and various minor changes.

- Python
Published by zigaLuksic about 3 years ago

eo-learn - Version 1.3.0

Changelog:

• (codebreaking) Adapted Sentinel Hub tasks to sentinelhub-py 3.8.0 which switched to Catalog 1.0.0.
• (codebreaking) Removed support for loading pickled objects in EOPatches (deprecated since version 1.0.0).
• (codebreaking) Various improvements of FeatureIO class. Only affects direct use of class.
• Added type annotations to majority of eolearn.core. The types are now exposed via py.typed file, which enables use of mypy. Added type-checking to CI for the core module.
• Numpy-array based features can now save and load object populated arrays.
• Improved documentation building, fixed links to GitHub.
• Improved test coverage.
• Added pre-commit hooks to repository for easier development.
• Various minor improvements.

- Python
Published by zigaLuksic over 3 years ago

eo-learn - Version 1.2.1

Changelog:

• Corrected the default for no_data_value in ImportFromTiffTask and ExportToTiffTask to None. The previous default of 0 was a poor choice in many scenarios. The switch might alter behavior in existing code.
• Changed the way SpatialResizeTask accepts parameters for the final image size. Now supports resizing by using resolution.
  
• Added ExplodeBandsTask that explodes a multi-band feature into multiple features.
• Exposed resampling parameters in Sentinel Hub tasks and included a geometry execution parameter.
• Reworked internal classes FeatureIO and _FeatureDict to improve types and maintainability.
• Fixed y-axis orientation of MeteoblueRasterTask.
• FilterTimeSeriesTask adjusted to work with multiprocessing.
• EOPatch plotting no longer anti-aliases by default (removes issues with phantom values in mask plots)
• Improved documentation building, fixing a few broken links.

- Python
Published by zigaLuksic over 3 years ago

eo-learn - Version 1.2.0

Changelog:

• Improved handling of filesystem objects:
  • introduced utility functions pickle_fs and unpickle_fs into eo-learn-core,
  • updated all IO tasks to fully support filesystem as an __init__ parameter,
  • updated EOExecutor to support filesystem propagation to worker processes.
• Official support for Python 3.10.
• Moved eolearn.coregistration.ThunderRegistrationTask into an extension of eo-learn-coregistration package because it doesn't support Python 3.10.
• Updated functionality of eolearn.features.SimpleFilterTask. It now returns a new EOPatch and doesn't raise an error if all time slices would be filtered out.
• Larger updates of eolearn.io.ExportToTiffTask. It doesn't allow undefined folder parameter anymore, but it has better support for filesystem objects.
• Added eolearn.core.utils.raster.fast_nanpercentile utility function and moved constant_pad function into the same module.
• Suppressed a warning when saving an EOPatch with empty vector features.
• Updated code-style checkers by including flake8 and checks for Jupyter notebooks.
• Various style improvements in example notebooks, code, and tests.

- Python
Published by AleksMat over 3 years ago

eo-learn - Version 1.1.1

Changelog:

• Fixed a bug in eolearn.io.ImportFromTiffTask where a bounding box from the image wasn't added to the EOPatch.
• Increased minimal version of Pillow dependency in eolearn.features.

- Python
Published by AleksMat over 3 years ago

eo-learn - Version 1.1.0

Changelog: - Large improvements of parallelization in EOExecutor. Introduced the eolearn.core.utils.parallelize module, featuring tools for different parallelization modes. - Added support for session sharing in SentinelHubInputTask, SentinelHubEvalscriptTask and SentinelHubDemTask by adding a session_loader parameter. Session sharing of sentinelhub-py is explained here. - Added SpatialResizeTask to eolearn.features.feature_manipulation for spatially resizing EOPatch features. - Improved how ImportFromTiffTask reads from remote filesystems. - Switched to non-structural hashing of EONode class to avoid massive slowdowns in large workflows. - Improved procedure for building documentation and displaying of type annotations. - Various minor improvements.

- Python
Published by zigaLuksic over 3 years ago

eo-learn - Version 1.0.2

Changelog: - Added workaround for an issue introduced by fs==2.4.16. - Executor progress bar improved for use-cases with many EOPatches. - LoadTask and SaveTask can now handle empty queries (by setting eopatch_folder=None). - Minor improvements in code and documentation.

- Python
Published by zigaLuksic almost 4 years ago

eo-learn - Version 1.0.1

Changelog:

• Fixed an issue where vector features with empty dataframes couldn't be saved to a Geopackage.
• Memory improvement in EOPatch merging procedure.
• Added support for aws_session_token, contributed by @theirix.
• Fixed an issue in ImportFromTiffTask.
• Fixed a packaging issue where some new subpackage extensions didn't work in the version 1.0.0 that was released to PyPI.
• eo-learn abstract package from now on requires fixed versions of eo-learn subpackages.
• Applied isort formatting on the entire package.
• Minor improvements in code and documentation.

- Python
Published by AleksMat almost 4 years ago

eo-learn - Version 0.10.2

This version fixes the dependencies, so that pip install "eo-learn<1" works correctly.

- Python
Published by zigaLuksic about 4 years ago

eo-learn - Version 1.0.0

Core Changes

• EOPatch changes:

  • IO for vectors and meta-info switched from pickle to Geopackage, GeoJSON, and JSON files. Objects saved with pickle can be loaded but the format is deprecated.
  • Now supports the in keyword for checking whether an EOPatch contains a given feature.
  • Major update to EOPatch plotting functionality, which now features a simpler matplotlib back-end. See example notebook for more details.
  • Removed some outdated EOPatch methods such as get_feature, rename_feature, etc.
  • Representation (EOPatch.__repr__ method) skips empty features.

• EOTask changes:

  • EOTask method _parse_features replaced with get_feature_parser and additional helper methods (parse_feature, parse_renamed_feature, parse_features, parse_renamed_features).
  • Removed EOTask.__mul__ as task concatenation as it was unsound.

• EONode is a newly introduced object for specifying computational graphs. It replaces raw EOTask objects when building an EOWorkflow.

• EOWorkflow changes:

  • LinearWorkflow is replaced with linearly_connect_tasks function that prepares nodes for a linear workflow.
  • No longer accepts tuples in execution arguments. In cases where this is required, passing arguments to a task can be done with the new InputTask.
  • EONodes form a tree-like structure of dependencies, hence the end-nodes of a workflow contain all information. An EOWorkflow object can be constructed from end-nodes via from_endnodes method.

• EOExecutor changes:

  • Added RayExecutor as an extension of EOExecutor for working with the ray library.
  • Execution arguments are now given w.r.t. EONode objects instead of EOTasks.
  • Now always returns results, which by default only contain statistics. Other data (for instance the final EOPatch) can be added to results with the new OutputTask.
  • Additionally, supports a filesystem argument for saving logs and reports.
  • Reports now have the option to only link to logs, greatly reducing size in case of large numbers of EOPatches. Logs files are now also more informative.

• FeatureParser now supports fewer input formats but handles those better. It now returns lists instead of generators. See documentation for more information.

• WorkflowResults are re-done. They now contain execution stats of nodes (start and end times) and the outputs of OutputTasks in the workflow.

• FeatureType method is_time_dependant renamed to is_temporal.

Tasks

• Added LinearFunctionTask which applies a linear function to features.
• MorphologicalFilterTask moved from ml_tools to features module.
• Sampling tasks moved geometry to ml_tools module. Sampling tasks have also been greatly upgraded, with the main being:
  • FractionSamplingTask for sampling random points in a class-balanced way
  • BlockSamplingTask for randomly sampling larger blocks of data (can also be 1 pixel blocks)
  • GridSamplingTask for deterministically sampling according to a grid.
• Removed feature_extractor module.
• Removed unused submodules of ml_tools (classifier, postprocessing, ...)
• To reduce core dependencies some functionalities have been moved to extra modules.
• Removed deprecated and outdated methods and tasks.

Other

• Moved many examples to new repository. The rest were updated.
• Switched to github actions for CI.
• Code was reformatted with black and is now checked to be compliant with the standard.
• Abstract base classes are now correctly enforced.
• Added utility functions for working with S3 and AWS.
• Various minor changes.

- Python
Published by AleksMat about 4 years ago

eo-learn - Version 0.10.1

Changelog:

• Copying EOPatches no longer forces loading of features if the EOPatch was loaded with lazy_loading=True
• SentinelHubInputTask now requests bands with correct units and should now work with more data collections. The parameter bands_dtype is now by default set to None, which uses the default units of each band. Note: due to changes the task no longer normalizes the output when bands_dtype=np.uint16 is used.
• Minor fixes and improvements

- Python
Published by zigaLuksic over 4 years ago

eo-learn - Version 0.10.0

Changelog:

• EOWorkflow now automatically makes a shallow copy of each EOPatch before passing it to any EOTask in the workflow.
• Streamlined naming conventions of EOTasks - every name now ends with Task. Old names have been deprecated.
• Improved functionality of merging EOPatches, particularly of merging time-dependent features.
• Removed support for Python 3.6 and added official support for Python 3.9.
• Implemented EOPatch.copy and EOPatch.__delitem__ methods.
• Added eolearn.io.MeteoblueRasterTask and eolearn.io.MeteoblueVectorTask for obtaining weather data. Joint effort with Meteoblue.
• VectorToRasterTask now supports rasterization of time-dependant vector features. Contributed by @asylve.
• Fixes in SentinelHubInputTask. Both SentinelHubInputTask and SentinelHubEvalscriptTask now return EOPatches with timestamps that don't have timezone information anymore.
• Changed rasterio dependency to rasterio>=1.2.7
• All but eolearn.core tests ported to pytest framework.
• Switched from Travis CI to GitHub actions.
• Minor fixes and improvements.

- Python
Published by AleksMat over 4 years ago

eo-learn - Version 0.9.2

Changelog: - Minor fixes and improvements: * SaveTask and LoadTask don't automatically store a filesystem object anymore, * fix in ImportFromTiff about file extensions, contributed by @rpitonak, * fix in SentinelHubInputTask about data collection bands handling, * fix in GeoDBVectorImportTask, * NormalizedDifferenceIndexTask doesn't show division warnings anymore, * improvement in PointSamplingTask * improvements in LULC documentation notebook.

- Python
Published by AleksMat almost 5 years ago

eo-learn - Version 0.9.1

Changelog:

• Added new tasks VectorImportTask, GeopediaVectorImportTask, and GeoDBVectorImportTask to eo-learn-io.
• Code improvements in LULC classification documentation notebook.
• Minor improvements and fixes.

- Python
Published by AleksMat almost 5 years ago

eo-learn - Version 0.9.0

Changelog:

• Changes in eo-learn-io tasks that interact with Sentinel Hub services:
  • Added SentinelHubEvalscriptTask that downloads data given a user-defined evalscript.
  • Removed all tasks that interact with Sentinel Hub OGC services. They are fully replaced by SentinelHubInputTask and SentinelHubEvalscriptTask which use Sentinel Hub Process API.
  • Renamed AddSen2CorClassificationFeature to SentinelHubSen2corTask. Now it uses Process API instead of OGC.
• Changes in Sentinel-2 cloud-masking tasks:
  • Renamed AddMultiCloudMaskTask to CloudMaskTask.
  • Removed AddCloudMaskTask as it is superseded by CloudMaskTask.
  • Fixed problems with incompatibility with the latest scikit-learn version.
• Updated all notebooks in eo-learn repository.
• Minor fixes and improvements:
  • better handling of KeyboardInterrupt in EOExecutor,
  • fixed plotting of raster features with binary dtype,
  • documentation fixes.

- Python
Published by AleksMat almost 5 years ago

eo-learn - Version 0.8.1

Changelog:

• Added example use-case about creating a timelapse with batch processing.
• Added example use-case about crop type classification. Contributed by @Gnilliw
• Updated code to be compatible with the latest releases sentinelhub-py 3.2.0 and s2cloudless 1.5.0.
• Fixed an issue in eolearn.coregistration.RegistrationTask.
• Fixed an issue in eolearn.io.ExportToTiff with paths on Windows.
• Various minor improvements.

- Python
Published by AleksMat almost 5 years ago

eo-learn - Version 0.8.0

Changelog: - Switched from "data source" to "data collection" terminology according to changes in sentinelhub-py and Sentinel Hub services. - Improvements in SentinelHubInputTask to better support any type of data collection. Using new DataCollection class from sentinelhub-py. - Extended ExportToTiff and ImportFromTiff tasks to support writing and reading from AWS S3 buckets. Implemented in cooperation with @wouellette. - Implemented EOPatch.merge method and MergeEOPatchesTask task for merging the content of any number of EOPatches. Implemented in cooperation with @wouellette. - Deprecated EOPatch.concatenate in favour of EOPatch.merge. - Added eolearn.features.DoublyLogisticApproximationTask, contributed by @bsircelj. - Optional parameter config for SaveTask and LoadTask to enable defining custom AWS credentials. - Fixed a bug in eolearn.features.ValueFilloutTask. - Started releasing eo-learn (sub)packages also as wheels. - Minor improvements and fixes.

- Python
Published by AleksMat over 5 years ago

eo-learn - Version 0.7.7

Changelog - Support for geopandas version 0.8 - Added a notebook with an end-to-end example on how to transform a ML-model into an evalscript and run it with Sentinel Hub service - Added eolearn.features.ClusteringTask, contributed by @bsircelj - An option to define a custom log filter for EOExecutor - Data mask obtained by SentinelHubInputTask has now boolean type instead of uint8 - Updates of some example notebooks - A few minor fixes

- Python
Published by AleksMat over 5 years ago

eo-learn - Version 0.7.6

Changelog: - Added eo-learn dockerfiles and deployed official eo-learn docker images to Docker Hub - Added compress parameter to ExportToTiff, contributed by @atedstone - Minor fixes

- Python
Published by AleksMat over 5 years ago

eo-learn - Version 0.7.5

Changelog: - Updated example notebooks - replaced Sentinel Hub OGC service tasks with Sentinel Hub Processing API service tasks - Deprecated tasks that download data from OGC service - Minor fixes in SentinelHubInputTask and AddCloudMaskTask

- Python
Published by AleksMat over 5 years ago

eo-learn - Version 0.7.4

Changelog: - Updates of SentinelHubInputTask: * Support for new s2cloudless precomputed cloud mask (more info) * Support for config parameter - Updated SI_LULC_pipeline notebook.

- Python
Published by AleksMat almost 6 years ago

eo-learn - Version 0.7.3

Changelog: - Added support for geopandas version 0.7.0. - Fixed a bug in eolearn.core.eodata_io.save_eopatch function. - Improvement in eolearn.mask.MaskFeature task - it now works also works with time-independent feature types. - A minor improvement in eolearn.io.SentinelHubInputTask task.

- Python
Published by AleksMat almost 6 years ago

eo-learn - Version 0.7.2

Change log: - Support additional data in the Processing API input task (such as sunAzimuthAngles, sunZenithAngles, viewAzimuthMean, viewZenithMean) - Compatibility with the sentinelhub-py version 3.0.0 - Removed support for python 3.5 - Multiprocessing log filtering

- Python
Published by AleksMat about 6 years ago

eo-learn - Version 0.7.1

Fixed

• eolearn.io.SentinelHubInputTask: evalscript version was not passed to the sentinel-hub service.
• eolearn.core.EOWorkflow: fixed generating task dependencies. ### Added
• Processing API docs generation.
• Introduced CHANGELOG.md.

- Python
Published by iovsn about 6 years ago

eo-learn - Version 0.7.0

Changelog:

• Added tasks eolearn.io.SentinelHubInputTask and eolearn.io.SentinelHubDemTask that implement satellite data download from Sentinel Hub Processing API.

• Extended EOPatch saving and loading with PyFilesystem2 package:

  • saving and loading can now be done with any custom filesystem supported by PyFilesystem2,
  • special support for AWS s3 bucket filesystem,
  • new tasks eolearn.core.SaveTask and eolearn.core.LoadTask.

• Added eolearn.mask.AddMultiCloudMaskTask for multi-temporal cloud detection.

• Added official support for Python 3.8.

• Added multiple use case examples, contributed by @drewbo:

  • poverty detection,
  • social media example,
  • super-resolution with FastAI.

• eolearn.io.ExportToTiff task can now export into a custom CRS, contributed by @wouellette.

• Improved Contributions guidelines, contributed by @PeterFogh.

- Python
Published by AleksMat about 6 years ago

eo-learn - Version 0.6.0

Change log: - Added new EOTasks: - in eolearn.core: - DuplicateFeature, - InitializeFeature, - MoveFeature, - MergeFeatureTask, - MapFeatureTask, - ZipFeatureTask, - ExtractBandsTask, - CreateEOPatchTask - in eolearn.features: - ValueFilloutTask, - EuclideanNormTask, - NormalizedDifferenceIndexTask - in eolearn.mask: - SnowMask, - TheiaSnowMask, - ClassFrequencyTask - in eolearn.ml_tools: - TrainTestSplitTask - Changed algorithm for spatial resizing in AddCloudMaskTask - VectorToRaster now has optional parameters overlap_value and buffer - Improvements in ErosionTask - S1IWWMSInput and S1IWWCSInput tasks now have an optional parameter for orbit direction - Removed EOWorkflow.make_linear_workflow method - Improvements in LinearWorkflow and WorkflowResults - Improvements of EOExecutor and the report it generates - Added credits and licensing info to all modules - Added a prototype project Land Cover Classification with fastai, contributed by @Geoyi

- Python
Published by AleksMat over 6 years ago

eo-learn - Version 0.5.1

Change log: - Problematic dependency packages for EOPatch visualization are not being installed by default anymore. They can be installed additionally with pip install eo-learn-visualization[FULL] option.

- Python
Published by AleksMat over 6 years ago

eo-learn - Version 0.5.0

Change log: - Added EOPatch visualization functionalities - Moved all visualization functionalities from eolearn.core to a new subpackage eolearn.visualization - Improvements of EOExecutor and how parallelization is handled - Improvements of reports produced by EOExecutor - LinearInterpolation task is now using numba in the background for better performance - Initialization parameters of VectorToRaster have changed. Both VectorToRaster and RasterToVector tasks have been improved. - Added super-pixel segmentation tasks to eolearn.geometry - Added ImportFromTiff task to eolearn.io, contributed by @drewbo - Improvements of example notebooks - Various small bug fixes

- Python
Published by AleksMat over 6 years ago

eo-learn - Version 0.4.2

Change log: - Added tqdm progress bar to EOExecutor. - Switched from multiprocessing to concurrent.futures in EOExecutor. - ExportToTiff can now export multi-channel tiff images and works with time-dependet features. Contributed by @wouellette - Updated package to support sentinelhub-py version 2.5.0. - Fixed value overflow bug in InterpolationTask (could happend only on Windows machines). - Fixed problem with time interval parsing in eolearn.io. - Improvements in EOWorkflow, added get_tasks method. - Added instructions for contributions and code of conduct.

- Python
Published by AleksMat about 7 years ago

eo-learn - Version 0.4.1

Change log: - Added eolearn.features.radiometric_normalization module with EOTasks: ReferenceScenes, HistogramMatching, BlueCompositing, HOTCompositing, MaxNDVICompositing, MaxNDWICompositing and MaxRatioCompositing. Contributed by @JohannesSchmid - Jupyter notebooks about LULC restructured and updated. - Implemented eolearn.core.FeatureTypeSet class. - eolearn.core.FeatureParser has new parameter allowed_feature_types. - Fixed masking in InterpolationTask. - Added MaskFeature task. - Binary masks in eolearn.io and eolearn.mask are now cast to numpy.bool dtype.

- Python
Published by AleksMat about 7 years ago

eo-learn - Version 0.4.0

Change log:

• Core changes:

  • Support for Python 3.7 added.
  • EOPatch now supports vector features in geopandas.GeoDataFrame format and makes checks that they can't be added in any other format.
  • EOPatch checks that each discrete feature type has only numpy arrays with integer or bool dtype. If that is not the case a DeprecationWarning is thrown.
  • EOPatch now checks correct form of bbox and timestamp feature types. BBox has to be of type sentinelhub.BBox and timestamp a list of datetime.datetime or datetime.date objects.
  • Better error propagation while executing EOWorkflow or EOExecutor
  • Packages attrs, geopandas and sentinelhub are now core dependencies of eo-learn.
  • EOExecutor parameter file_path replaced by logs_folder
  • Improvements of EOExecutor multiprocessing functionalities
  • Parameters of EOWorkflow.dependency_graph method changed.
  • Minor improvements and fixes.

• Other changes:

  • Added KrigingInterpolation task to eolearn.features - contributed by @jO-Osko
  • Added ErosionTask and RasterToVector task to eolearn.geometry.
  • Minor improvements and fixes of various tasks.

- Python
Published by AleksMat about 7 years ago

eo-learn - Version 0.3.3

Change log: - Added example notebook with a complete processing chain of land use/land cover classification - Improvements of eolearn.features.InterpolationTask - Added eolearn.io.S1IWWMSInput and eolearn.io.S1IWWCSInput tasks - contributed by @wouellette

- Python
Published by AleksMat over 7 years ago

eo-learn - Version 0.3.2

Change log: - Improved saving functionalities of EOPatch: * overwrite parameter replaced by overwrite_permission which can be either OverwritePermission.ADD_ONLY or OverwritePermission.OVERWRITE_FEATURES or OverwritePermission.OVERWRITE_PATCH. * compress parameter removed, uncompressed data can be saved by compress_level=0. - Added BlobTask, HOGTask and LocalBinaryPatternTask tasks to eolearn.features - contributed by @HugoFRN - Improvements of eolearn.features.InterpolationTask. Parameter resample_range can now also receive a list of new dates. - Fixed issue with EOExecutor missing a report.html file. - Various minor improvements and docs updates.

- Python
Published by AleksMat over 7 years ago

eo-learn - Version 0.3.0

First official release of the package. Recent changes:

• major improvements of all basic elements in eo-learn-core subpackage (i.e. EOPatch, EOTask, EOWorkflow and EOExecutor),
• various new EOTasks added,
• multiple EOTasks were renamed or their initialization parameters were changed,
• documentation released (link),
• package released to PyPI and can now be installed with pip (instructions).

- Python
Published by AleksMat over 7 years ago