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auto_2d_class_selection [2019/07/29 14:48] twagner [Changelog] |
auto_2d_class_selection [2019/12/09 15:43] twagner |
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- | ====== Cinderella: | + | ====== Cinderella: |
---- | ---- | ||
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- | Our automatic | + | Our 2d class and micrograph |
+ | For 2D classes, it supports | ||
+ | Cinderella provides a pretrained | ||
< | < | ||
* **License**: | * **License**: | ||
* **GitHub repository**: | * **GitHub repository**: | ||
</ | </ | ||
+ | |||
Here are a couple of examples for good / bad classes in Cinderella: | Here are a couple of examples for good / bad classes in Cinderella: | ||
{{ :: | {{ :: | ||
- | ====== | + | ====== |
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?" | 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> | ||
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====== Download ====== | ====== Download ====== | ||
====Cinderella==== | ====Cinderella==== | ||
- | Version: 0.3.1 | + | Version: 0.4.0 |
- | Uploaded: | + | Uploaded: |
[[https:// | [[https:// | ||
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====Archive==== | ====Archive==== | ||
- | Old version | + | Old versions |
====Changelog==== | ====Changelog==== | ||
+ | === Version 0.4 === | ||
+ | * Apply weights if good / bad training classes are unbalanced | ||
+ | * It is now possible to train cinderella to select micrographs | ||
+ | * Updated the general model for 2D class selection. | ||
=== Version 0.3.1 === | === Version 0.3.1 === | ||
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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 |