auto_2d_class_selection
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auto_2d_class_selection [2019/07/11 14:02] twagner |
auto_2d_class_selection [2019/07/29 14:48] twagner [Changelog] |
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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 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. | ||
| < | < | ||
| - | **License**: | + | * **License**: |
| - | + | | |
| - | **GitHub repository**: | + | |
| </ | </ | ||
| Here are a couple of examples for good / bad classes in Cinderella: | Here are a couple of examples for good / bad classes in Cinderella: | ||
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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 0.3.1 === | ||
| + | * 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 · Last modified: 2020/08/27 15:11 by twagner
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