User Tools

Site Tools


pipeline:window:cryolo:configuration

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Next revision Both sides next revision
pipeline:window:cryolo:configuration [2019/09/17 10:30]
twagner
pipeline:window:cryolo:configuration [2019/09/17 14:25]
twagner
Line 1: Line 1:
-You now have to create a configuration file your picking project. It contains all important constants and paths and helps you to reproduce your results later on. +You now have to create a configuration file for your picking project. It contains all important constants and paths and helps you to reproduce your results later on. 
  
 You can either use the command line to create the configuration file or the GUI. For most users, the GUI should be easier. Select the //config// action and fill in the general fields: You can either use the command line to create the configuration file or the GUI. For most users, the GUI should be easier. Select the //config// action and fill in the general fields:
  
 {{ :pipeline:window:cryolo:cryolo_configuration_01.png?700 |}} {{ :pipeline:window:cryolo:cryolo_configuration_01.png?700 |}}
-<note>+
 You could already press the Start button to generate the config file but you might want to take these options into account: You could already press the Start button to generate the config file but you might want to take these options into account:
  
   * During training, crYOLO also needs validation data. Typically, 20% of the training data are randomly chosen as validation data. If you want to use specific images as validation data, you can move the images and the corresponding box files to separate folders. Make sure that they are removed from the original training folder! You can then specify the new validation folders in //"Validation configuration"// tab.   * During training, crYOLO also needs validation data. Typically, 20% of the training data are randomly chosen as validation data. If you want to use specific images as validation data, you can move the images and the corresponding box files to separate folders. Make sure that they are removed from the original training folder! You can then specify the new validation folders in //"Validation configuration"// tab.
   * By default, your images are low pass filtered to absolute frequency of 0.1 and saved to disk. You can change the cutoff threshold and the directory for filtered images in the //"Model/Denoising options"// tab.    * By default, your images are low pass filtered to absolute frequency of 0.1 and saved to disk. You can change the cutoff threshold and the directory for filtered images in the //"Model/Denoising options"// tab. 
-</note>+
 <note tip> <note tip>
 **Alternative: Using neural-network denoising with JANNI** **Alternative: Using neural-network denoising with JANNI**
pipeline/window/cryolo/configuration.txt ยท Last modified: 2020/03/16 15:20 by twagner