feat: Add ImageDataset and Layer for ConvolutionalNeuralNetworks
#645
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feat: added param to return filenames in `ImageList.from_files` refactor: move `image.utils` to `image._utils`
…-a-new-imagedataset-class # Conflicts: # src/safeds/data/image/containers/_empty_image_list.py # src/safeds/data/image/containers/_image_list.py # src/safeds/exceptions/__init__.py
…r` and `AvgPooling2DLayer` feat: added `InputConversionImage` and `OutputConversionImage` feat: added class `ImageSize` and methods `ImageList.sizes` and `Image.size` to get the sizes of the respective images feat: added ability to iterate over `SingleSizeImageList` feat: added option `None` for no activation function in `ForwardLayer` fix: fixed bug #581 in removing the Softmax function from the last layer in `NeuralNetworkClassifier`
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…-a-new-imagedataset-class
Codecov ReportAll modified and coverable lines are covered by tests ✅
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## main #645 +/- ##
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Files 66 74 +8
Lines 4873 5577 +704
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refactor: extracted test devices to `helpers.devices`
test: added test for activation function in `ForwardLayer` test: added test for ImageToTable workflow of a cnn
feat: added `OutputConversionImageToTable` and `OutputConversionImageToImage` feat: changed `OutputConversionImage` to be intern and abstract with generic `ImageDataset`
…-a-new-imagedataset-class
feat: added `OutputConversionImageToColumn` feat: added `ImageDataset` with `Column` as output feat: added kwargs to abstractmethod `_OutputConversion._data_conversion` test: added test for cnn workflow to `Image` and `Column` output types
refactor: moved `ImageDataset` to `labeled.containers.ImageDataset`
test: added tests for `ImageDataset`, `InputConversionImage` and all `OutputConversionImage` variants
…2DLayer`, `FlattenLayer`, `MaxPooling2DLayer` and `AvgPooling2DLayer`
test: added additional tests for codecov
docs: added docstrings
…-a-new-imagedataset-class # Conflicts: # src/safeds/data/labeled/containers/__init__.py # src/safeds/exceptions/_ml.py # src/safeds/ml/nn/_input_conversion.py # src/safeds/ml/nn/_model.py # src/safeds/ml/nn/_output_conversion.py # src/safeds/ml/nn/_output_conversion_table.py # tests/safeds/ml/nn/test_model.py
…/Safe-DS/Stdlib into 579-add-a-new-imagedataset-class
…-a-new-imagedataset-class # Conflicts: # src/safeds/ml/nn/__init__.py # src/safeds/ml/nn/_model.py
Gerhardsa0
reviewed
May 6, 2024
Gerhardsa0
reviewed
May 6, 2024
…-a-new-imagedataset-class # Conflicts: # src/safeds/data/image/containers/_single_size_image_list.py # src/safeds/data/tabular/transformation/_one_hot_encoder.py
Gerhardsa0
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May 6, 2024
lars-reimann
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May 9, 2024
## [0.24.0](v0.23.0...v0.24.0) (2024-05-09) ### Features * `Column.plot_histogram()` using `Table.plot_histograms` for consistent results ([#726](#726)) ([576492c](576492c)) * `Regressor.summarize_metrics` and `Classifier.summarize_metrics` ([#729](#729)) ([1cc14b1](1cc14b1)), closes [#713](#713) * `Table.keep_only_rows` ([#721](#721)) ([923a6c2](923a6c2)) * `Table.remove_rows` ([#720](#720)) ([a1cdaef](a1cdaef)), closes [#698](#698) * Add `ImageDataset` and Layer for ConvolutionalNeuralNetworks ([#645](#645)) ([5b6d219](5b6d219)), closes [#579](#579) [#580](#580) [#581](#581) * added load_percentage parameter to ImageList.from_files to load a subset of the given files ([#739](#739)) ([0564b52](0564b52)), closes [#736](#736) * added rnn layer and TimeSeries conversion ([#615](#615)) ([6cad203](6cad203)), closes [#614](#614) [#648](#648) [#656](#656) [#601](#601) * Basic implementation of cell with polars ([#734](#734)) ([004630b](004630b)), closes [#712](#712) * deprecate `Table.add_column` and `Table.add_row` ([#723](#723)) ([5dd9d02](5dd9d02)), closes [#722](#722) * deprecated `Table.from_excel_file` and `Table.to_excel_file` ([#728](#728)) ([c89e0bf](c89e0bf)), closes [#727](#727) * Larger histogram plot if table only has one column ([#716](#716)) ([31ffd12](31ffd12)) * polars implementation of a column ([#738](#738)) ([732aa48](732aa48)), closes [#712](#712) * polars implementation of a row ([#733](#733)) ([ff627f6](ff627f6)), closes [#712](#712) * polars implementation of table ([#744](#744)) ([fc49895](fc49895)), closes [#638](#638) [#641](#641) [#649](#649) [#712](#712) * regularization for decision trees and random forests ([#730](#730)) ([102de2d](102de2d)), closes [#700](#700) * Remove device information in image class ([#735](#735)) ([d783caa](d783caa)), closes [#524](#524) * return fitted transformer and transformed table from `fit_and_transform` ([#724](#724)) ([2960d35](2960d35)), closes [#613](#613) ### Bug Fixes * make `Image.clone` internal ([#725](#725)) ([215a472](215a472)), closes [#626](#626) ### Performance Improvements * improved performance of `TabularDataset.__eq__` by a factor of up to 2 ([#697](#697)) ([cd7f55b](cd7f55b))
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Closes #579, #580, #581
Summary of Changes
feat: added
Convolutional2DLayer,ConvolutionalTranspose2DLayer,FlattenLayer,MaxPooling2DLayerandAvgPooling2DLayerfeat: added
InputConversionImage,OutputConversionImageToColumn,OutputConversionImageToTableandOutputConversionImageToImagefeat: added generic
ImageDatasetfeat: added class
ImageSizeand methodsImageList.sizesandImage.sizeto get the sizes of the respective imagesfeat: added ability to iterate over
SingleSizeImageListfeat: added param to return filenames in
ImageList.from_filesfeat: added option
Nonefor no activation function inForwardLayerfeat: added
Image.__array__to convert aImageto anumpy.ndarrayfeat: added equals check to
OneHotEncoderfix: fixed bug #581 in removing the Softmax function from the last layer in
NeuralNetworkClassifierrefactor: move
image.utilstoimage._utilsrefactor: extracted test devices from
test_imagetohelpers.devices