auto_2d_class_selection
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| Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
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auto_2d_class_selection [2019/12/10 09:46] twagner [Cinderella] |
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: 10. December 2019, Datasets: 20 | Uploaded: 10. December 2019, Datasets: 20 | ||
| Line 50: | Line 50: | ||
| ====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. | ||
| Line 105: | Line 105: | ||
| * [[auto2d_tutorial|How to use Cinderella for 2D class selection]] | * [[auto2d_tutorial|How to use Cinderella for 2D class selection]] | ||
| * [[cinderella_micrographs|How to use Cinderella for micrograph selection]] | * [[cinderella_micrographs|How to use Cinderella for micrograph selection]] | ||
| + | * [[cinderella_tomograms|How to use Cinderella for subtomogram selection]] | ||
auto_2d_class_selection.txt · Last modified: 2020/08/27 15:11 by twagner
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