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auto_2d_class_selection [2019/12/09 15:43] twagner |
auto_2d_class_selection [2019/12/16 10:34] twagner [Cinderella] |
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====== Download ====== | ====== Download ====== | ||
====Cinderella==== | ====Cinderella==== | ||
- | Version: 0.4.0 | + | Version: 0.5.0 |
- | Uploaded: | + | Uploaded: |
[[https:// | [[https:// | ||
- | ====Pretrained model==== | + | ====Pretrained model (2D classes)==== |
- | Uploaded: | + | Uploaded: |
- | [[ftp:// | + | [[ftp:// |
[[auto2d_tutorial# | [[auto2d_tutorial# | ||
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====Changelog==== | ====Changelog==== | ||
=== Version 0.4 === | === Version 0.4 === | ||
- | * Apply weights if good / bad training classes are unbalanced | + | * Balances |
- | * It is now possible to train cinderella | + | * It is now possible to train Cinderella |
* Updated the general model for 2D class selection. | * Updated the general model for 2D class selection. | ||
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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 for 2D class selection!]] | + | We created two tutorials: |
+ | |||
+ | * [[auto2d_tutorial|How to use Cinderella for 2D class selection]] | ||
+ | * [[cinderella_micrographs|How to use Cinderella for micrograph selection]] | ||
+ | * [[cinderella_tomograms|How to use Cinderella for subtomogram selection]] | ||
+ |