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auto_2d_class_selection [2020/03/10 13:28]
twagner [Pretrained model (2D classes)] 		auto_2d_class_selection [2020/08/27 12:18]
twagner [Pretrained model (2D classes)]
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 ====== 2D class selection 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. Here are a couple of examples for good / bad classes in Cinderella: +Our model was trained on a set of 2D classes from ISAC and Relion. 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. Here are a couple of examples for good / bad classes in Cinderella: 
  
 {{ ::cinderellea.png?450 |}} {{ ::cinderellea.png?450 |}}
  
-<note important> +
-The training dataset does **not contain any Relion classes**, so it might be that Cinderella will not work with well them. +
-</note>+
 You can easily [[auto_2d_class_selection#contribute|contribute]] your own classes!   You can easily [[auto_2d_class_selection#contribute|contribute]] your own classes!  
  
-Right now our model is trained on **20 datasets**. But we will increase the number often!+Right now our model is trained on **4773 good classes and 5390 bad classes**.
 ====== Download ====== ====== Download ======
 ====Cinderella==== ====Cinderella====
-Version: 0.6.0+Version: 0.7.0
  
-Uploaded: 10. March 2020+Uploaded: 27. August 2020
  
 [[https://pypi.org/project/cinderella/#files|DOWNLOAD]] [[https://pypi.org/project/cinderella/#files|DOWNLOAD]]
  
 ====Pretrained model (2D classes)==== ====Pretrained model (2D classes)====
-Uploaded: 10. March 2020, Datasets: 22+Uploaded: 27. August 2020, Dataset: 4773 good classes and 5390 bad classes
  
-[[ftp://ftp.gwdg.de/pub/misc/sphire/auto2d_models/gmodel_cinderella_20200310_N22.h5|DOWNLOAD]]+[[ftp://ftp.gwdg.de/pub/misc/sphire/auto2d_models/gmodel_cinderella07_202008_N10163.h5|DOWNLOAD]]
 ====Archive==== ====Archive====
 Old versions of cinderella and the pretrained model can be found in the [[cinderella_archive|archive]] Old versions of cinderella and the pretrained model can be found in the [[cinderella_archive|archive]]
  
 ====Changelog==== ====Changelog====
 +
 +=== Version 0.7 ===
 +  * Now uses a circular masks by default. This allows to use full rotation during data augmentation. Can be deactivated by setting the field "mask_radius" in the configuration file to -1. In case you want to use an model trained with Cinderella < 0.7 please set the radius to -1. Otherwise you case specify any radius you want. By default (no mask_radius provided) it will use 0.4*input_size.
 +  * The general models now includes 300 new good Relion classes and 2000 new bad Relion classes (Thanks to Grigory Shariv).
 +  * Fix numerical instability that occur when you have classes filled with a constant value (Thanks to Grigory Sharov).
 +  * Fix a problem with classes that contain NaN values. NaN values are now replaced with 0. (Thanks to Grigory Sharov).
  
 === Version 0.6 === === Version 0.6 ===
auto_2d_class_selection.txt · Last modified: 2020/08/27 15:11 by twagner

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