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auto_2d_class_selection [2019/07/29 14:46] twagner [Cinderella] |
auto_2d_class_selection [2019/11/12 15:03] twagner |
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- | ====== Cinderella: Automatic 2D class selection ====== | + | ====== Cinderella: Automatic 2D class and micrograph |
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- | Our automatic 2d class selection tool (**Cinderella**) is based on a deep learning network to seperate 2D classes from .hdf / .mrcs files into good and bad classes. It uses the same deep neural network as crYOLO and was pretrained on a set good / bad classes. Cinderella was written to automate cryo-em data processing. It's open source and easy to use ([[auto2d_tutorial|see tutorial]]). You can easily train it with your own set of classes. | + | Our automatic 2d class and micrograph |
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* **License**: | * **License**: | ||
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====Changelog==== | ====Changelog==== | ||
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+ | === Version 0.3.1 === | ||
+ | * Downgrade to tensorflow 1.10.1 again, as user report long initialization times | ||
+ | * Only report the number of good / bad classes + their fraction. | ||
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=== Version 0.3.0 === | === Version 0.3.0 === | ||
* More data augmentation (add rotation) | * More data augmentation (add rotation) |