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auto_2d_class_selection [2019/12/05 09:29]
twagner
auto_2d_class_selection [2019/12/09 15:41]
twagner [Changelog]
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 {{ ::cinderellea.png?450 |}} {{ ::cinderellea.png?450 |}}
  
-====== The Model ======+====== 2D class selection model ======
 Our model was trained on a set of 2D classes from ISAC. During the creation of the training dataset, I tried to ask myself "Which class would I select If I would not know the particle?" to decide which is a good class. Our model was trained on a set of 2D classes from ISAC. During the creation of the training dataset, I tried to ask myself "Which class would I select If I would not know the particle?" to decide which is a good class.
 <note important> <note important>
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 ====== Download ====== ====== Download ======
 ====Cinderella==== ====Cinderella====
-Version: 0.3.1+Version: 0.4.0
  
-Uploaded: 29July 2019+Uploaded: 05December 2019
  
 [[https://pypi.org/project/cinderella/#files|DOWNLOAD]] [[https://pypi.org/project/cinderella/#files|DOWNLOAD]]
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 === Version 0.4 === === Version 0.4 ===
   * Apply weights if good / bad training classes are unbalanced   * Apply weights if good / bad training classes are unbalanced
-  * It is no possible to train cinderella to select micrographs+  * It is now possible to train cinderella to select micrographs
   * Updated the general model for 2D class selection.   * Updated the general model for 2D class selection.
  
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 ====== Tutorial ====== ====== Tutorial ======
-[[auto2d_tutorial|We created a tutorial how to use Cinderella!]]+[[auto2d_tutorial|We created a tutorial how to use Cinderella for 2D class selection!]]
auto_2d_class_selection.txt ยท Last modified: 2020/08/27 15:11 by twagner