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Refactor: commented out ViT-related mentions in files #223
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Nice PR, thanks! Two more things:
E File "/home/runner/work/aucmedi/aucmedi/tests/test_architectures_image.py", line 749
E def test_ConvNeXtBase(self):
E IndentationError: unexpected indent BR DM |
README.md
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@@ -14,7 +14,7 @@ The open-source software AUCMEDI allows fast setup of medical image classificati | |||
- Wide range of 2D/3D data entry options with interfaces to the most common medical image formats such as DICOM, MetaImage, NifTI, PNG or TIF already supplied. | |||
- Selection of pre-processing methods for preparing images, such as augmentation processes, color conversions, windowing, filtering, resizing and normalization. | |||
- Use of deep neural networks for binary, multi-class as well as multi-label classification and efficient methods against class imbalances using modern loss functions such as focal loss. | |||
- Library from modern architectures, like ResNet up to EfficientNet and Vision-Transformers (ViT). | |||
- Library from modern architectures, like ResNet up to EfficientNet. <!-- and Vision-Transformers (ViT).--> |
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ConvNeXt
- commented out ViT-related unittests to avoid IndentationError - Updated README (from Architecture EfficientNet to Architecture ConvNeXt) - Removed tensorflow-addons from requirements.txt and setup.py - Changed import of F1Score in file aucmedi/automl/block_train.py
requirements.txt
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Here, the commented vit-keras is missing, but is fine and could be added later if vit-keras gets hopefully an update in the future.
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Changes looking good. Waiting for the CI action checks.
…quirements.txt - Removed num_classes parameter from F1Score in the AutoML training block to align with updated tf.keras - Added and commented out vit-keras in requirements.txt
Nice! Requirements are running through :) |
This pull request addresses issue #220.
Changes made:
vit-keras
dependency fromrequirements.txt
.Files modified:
README.md
aucmedi/neural_network/architectures/image/__init__.py
requirements.txt
setup.py
tests/test_architectures_image.py
Please review the changes and let me know if there are any questions or further adjustments needed.