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auto_2d_class_selection [2019/07/11 14:02] twagner |
auto_2d_class_selection [2019/12/09 15:45] twagner [Installation] |
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- | ====== Cinderella: | + | ====== Cinderella: |
---- | ---- | ||
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- | Our automatic | + | Our 2d class and micrograph |
- | < | + | For 2D classes, it supports |
- | **License**: | + | Cinderella provides a pretrained |
- | **GitHub repository**: | + | < |
+ | * **License**: | ||
+ | * **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: 0.3.0 | + | 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 === | ||
+ | * Downgrade to tensorflow 1.10.1 again, as user report long initialization times | ||
+ | * Only report the number of good / bad classes + their fraction. | ||
+ | |||
=== Version 0.3.0 === | === Version 0.3.0 === | ||
* More data augmentation (add rotation) | * More data augmentation (add rotation) | ||
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After that, create a new virtual environment: | After that, create a new virtual environment: | ||
< | < | ||
- | conda create -n cinderella -c anaconda python=3.6 pyqt=5 cudnn=7.1.2 | + | conda create -n cinderella -c anaconda python=3.6 pyqt=5 cudnn=7.1.2 |
</ | </ | ||
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< | < | ||
source activate cinderella | source activate cinderella | ||
- | </ | ||
- | |||
- | Install fast numpy: | ||
- | < | ||
- | conda install numpy==1.15.4 | ||
</ | </ | ||
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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 |