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auto_2d_class_selection [2019/12/16 10:45] twagner [Cinderella: Deep learning based binary classification tool] |
auto_2d_class_selection [2020/08/27 11:19] twagner [Changelog] |
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- | Here are a couple of examples for good / bad classes in Cinderella: | + | |
+ | ====== 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?" | ||
{{ :: | {{ :: | ||
- | ====== 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?" | ||
<note important> | <note important> | ||
The training dataset does **not contain any Relion classes**, so it might be that Cinderella will not work with well them. | The training dataset does **not contain any Relion classes**, so it might be that Cinderella will not work with well them. | ||
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You can easily [[auto_2d_class_selection# | You can easily [[auto_2d_class_selection# | ||
- | Right now our model is trained on **19 datasets**. But we will increase the number often! | + | Right now our model is trained on **20 datasets**. But we will increase the number often! |
====== Download ====== | ====== Download ====== | ||
====Cinderella==== | ====Cinderella==== | ||
- | Version: 0.5.0 | + | Version: 0.6.0 |
- | Uploaded: | + | Uploaded: |
[[https:// | [[https:// | ||
====Pretrained model (2D classes)==== | ====Pretrained model (2D classes)==== | ||
- | Uploaded: 10. December 2019, Datasets: | + | Uploaded: 10. March 2020, Datasets: |
- | + | ||
- | [[ftp:// | + | |
- | + | ||
- | [[auto2d_tutorial# | + | |
+ | [[ftp:// | ||
====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 deactivate by setting the mask radius to -1. In case you want to use an model trained with Cinderella < 0.7 please set the radius to -1. | ||
+ | * 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 === | ||
+ | * Fix an issue for classes in mrcs format | ||
+ | * Minor changes | ||
=== Version 0.5 === | === Version 0.5 === | ||
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====== Tutorial ====== | ====== Tutorial ====== | ||
- | We created | + | We created |
* [[auto2d_tutorial|How to use Cinderella for 2D class selection]] | * [[auto2d_tutorial|How to use Cinderella for 2D class selection]] |