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janni_tutorial [2019/07/03 15:09]
twagner [Denoise]
janni_tutorial [2019/07/08 17:06]
twagner [Training a model for your data]
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 ==== Training a model for your data ==== ==== Training a model for your data ====
-The first thing you have to do is to create a configuration file for JANNI. In the following I assume you named it //config.json//. It should look like this:+In case you don't want to use the general model you can train a model for your data. The first thing you have to do is to create a configuration file for JANNI. In the following I assume you named it //config.json//. It should look like this:
 <code json config.json> <code json config.json>
 { {
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 Here is now how you do the actual denoising: Here is now how you do the actual denoising:
-It is assumed that you run the command in a directory with the with your model file ''mymodel.h5'' (might have a different name in case of the general model). Furthermore, it is assumed that your would like denoise averages in the folder ///my/averages/// and want to write results in the folder ///my/outputdir/denoised///+It is assumed that you run the command in a directory with the with your model file ''mymodel.h5'' (might have a different name in case of the [[janni#Download|general model]]). Furthermore, it is assumed that your would like denoise averages in the folder ///my/averages/// and want to write results in the folder ///my/outputdir/denoised///
  
 The following command will run the denoising on GPU 0: The following command will run the denoising on GPU 0:
janni_tutorial.txt ยท Last modified: 2020/09/24 14:46 by twagner