auto_2d_class_selection

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auto_2d_class_selection [2019/07/11 14:02]
twagner
auto_2d_class_selection [2019/07/11 14:03] (current)
twagner
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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.
 <​note>​ <​note>​
-**License**:​ MIT +  * **License**:​ MIT 
- +  ​* ​**GitHub repository**:​ https://​github.com/​MPI-Dortmund/​sphire_classes_autoselect
-**GitHub repository**:​ https://​github.com/​MPI-Dortmund/​sphire_classes_autoselect+
 </​note>​ </​note>​
 Here are a couple of examples for good / bad classes in Cinderella: ​ Here are a couple of examples for good / bad classes in Cinderella: ​
  • auto_2d_class_selection.txt
  • Last modified: 2019/07/11 14:03
  • by twagner