auto_2d_class_selection
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auto_2d_class_selection [2019/07/11 14:03] twagner |
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 |
| < | < | ||
| * **License**: | * **License**: | ||
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| ====== Download ====== | ====== Download ====== | ||
| ====Cinderella==== | ====Cinderella==== | ||
| - | Version: 0.3.0 | + | Version: 0.3.1 |
| - | Uploaded: | + | Uploaded: |
| [[https:// | [[https:// | ||
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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. | ||
| + | |||
| === Version 0.3.0 === | === Version 0.3.0 === | ||
| * More data augmentation (add rotation) | * More data augmentation (add rotation) | ||
auto_2d_class_selection.txt ยท Last modified: 2020/08/27 15:11 by twagner
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