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Deep Finder is an original deep learning approach to localize macromolecules in cryo electron tomography images. The method is based on image segmentation using a 3D convolutional neural network.
pip install em-deepfinder
PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==2.8.2==2.8.0>=3.6.0>=4.8.0>=1.3.0>=1.0.2>=0.19.2>=3.5.2>=5.15.6>=0.12.4>=3.0.9>=1.7.3em-deepfinder publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.8, 3.9.
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PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .
The project does not publish external project URLs in its PyPI metadata.