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auto_2d_class_selection [2019/07/11 14:01] twagner [Pretrained model] |
auto_2d_class_selection [2019/12/05 09:25] twagner [Changelog] |
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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==== | ||
+ | === Version 0.4 === | ||
+ | * Apply weights if good / bad training classes are unbalanced | ||
+ | * It is no possible to train cinderella to select micrographs | ||
+ | * Updated the general model for 2D class selection. | ||
+ | |||
+ | === 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) |