This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
auto_2d_class_selection [2020/08/27 11:21] twagner [Pretrained model (2D classes)] |
auto_2d_class_selection [2020/08/27 12:57] fschoenfeld |
||
---|---|---|---|
Line 8: | Line 8: | ||
---- | ---- | ||
- | Our binary classification | + | Our binary classification |
- | For class averages, it supports .hdf/.mrcs, for micrographs | + | Cinderella |
- | Cinderella was written to automate cryo-em data processing. | + | //Cinderella// was written to automate cryo-em data processing. |
- | We provide a pretrained general model for classifying class averages.([[auto2d_tutorial|see tutorial]]). But you can easily train it with your own set of classes/micrographs/ | + | We provide a pretrained general model for classifying class averages.([[auto2d_tutorial|see tutorial]]). But you can easily train it with your own set of classes, micrographs, and/or subtomograms. |
< | < | ||
- | * **License**: | + | * **License**: |
- | * **GitHub repository**: https:// | + | * **Repository**: [[https:// |
</ | </ | ||
Line 30: | Line 30: | ||
====== Download ====== | ====== Download ====== | ||
====Cinderella==== | ====Cinderella==== | ||
- | Version: 0.6.0 | + | Version: 0.7.0 |
- | Uploaded: | + | Uploaded: |
[[https:// | [[https:// | ||
====Pretrained model (2D classes)==== | ====Pretrained model (2D classes)==== | ||
- | Uploaded: | + | Uploaded: |
- | [[ftp:// | + | [[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]] | ||
Line 46: | Line 46: | ||
=== Version 0.7 === | === Version 0.7 === | ||
- | * Now uses a circular masks by default. This allows to use full rotation during data augmentation. Can be deactivate | + | * Now uses a circular masks by default. This allows to use full rotation during data augmentation. Can be deactivated |
* The general models now includes 300 new good Relion classes and 2000 new bad Relion classes (Thanks to Grigory Shariv). | * 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 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). | * Fix a problem with classes that contain NaN values. NaN values are now replaced with 0. (Thanks to Grigory Sharov). | ||
+ | * Fix an issue when filenames contain more than one point. | ||
=== Version 0.6 === | === Version 0.6 === |