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] (current)
twagner
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-====== Cinderella: Automatic 2D class selection ======+====== Cinderella: Automatic 2D class and micrograph ​selection ======
  
 ---- ----
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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 ​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.
 <​note>​ <​note>​
   * **License**:​ MIT   * **License**:​ MIT
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 ====== Download ====== ====== Download ======
 ====Cinderella==== ====Cinderella====
-Version: 0.3.0+Version: 0.3.1
  
-Uploaded: ​11. July 2019+Uploaded: ​29. July 2019
  
 [[https://​pypi.org/​project/​cinderella/#​files|DOWNLOAD]] [[https://​pypi.org/​project/​cinderella/#​files|DOWNLOAD]]
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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.1562846604.txt.gz
  • Last modified: 2019/07/11 14:03
  • by twagner