janni_tutorial

Differences

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

Link to this comparison view

Both sides previous revision Previous revision
Last revision Both sides next revision
janni_tutorial [2019/10/25 16:12]
twagner [Denoise]
janni_tutorial [2020/09/24 14:45]
twagner [Training a model for your data]
Line 37: Line 37:
 In case you want to use the general model ([[janni#​Download|Download here]]), you can skip this part and directly [[janni_tutorial#​denoise|denoise]] your images. ​ In case you want to use the general model ([[janni#​Download|Download here]]), you can skip this part and directly [[janni_tutorial#​denoise|denoise]] your images. ​
  
-In case you would like to train a model for your data, you need to copy a few movie files into a separate directory. We typically use at least 30 movies (unaligned) to train the model. Fewer might also work, but more often work much better. ​ The first thing you have to do is to create a configuration file for JANNI.+In case you would like to train a model for your data, you need to copy a few movie files into a separate directory. We typically use at least 30 movies (unaligned) to train the model. Fewer might also work, but more often work much better. ​Its recommended to copy movies from different data collections into different folders. If you later water do denoise binned micrographs,​ you should setup binning correctly. 
 + 
 +<note important>​ 
 +** Setup binning ** 
 +In case your movies are superresolution and you later want to apply it to binned micrographs,​ the movies need to be binned during training. Therefore create a file ''​bin.txt''​ in the training folder with the movies that needs to be binned. Write the binning factor into this file (typically 2 or 4). 
 +</​note>​  
 + 
 +The next thing you have to do is to create a configuration file for JANNI.
  
 === Configuration === === Configuration ===
  • janni_tutorial.txt
  • Last modified: 2020/09/24 14:46
  • by twagner