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janni_tutorial [2019/07/03 15:08]
twagner [Denoise]
janni_tutorial [2019/07/03 15:09]
twagner [Denoise]
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 To denoise a set if images you have to tell JANNI three **mandatory** arguments: To denoise a set if images you have to tell JANNI three **mandatory** arguments:
-  +  - //input_path//: This path points to the directory with your images. 
-1. //input_path//: This path points to the directory with your images. +  //ouput_path//: This path points to a directory where the results will be written 
-2. //ouput_path//: This path points to a directory where the results will be written +  //model_path//: This path points to the model you want to use (the .h5 file).
-3. //model_path//: This path points to the model you want to use (the .h5 file).+
  
 As model you can either use the model you trained for your data or the general model ([[janni#Download|Download here]]). As model you can either use the model you trained for your data or the general model ([[janni#Download|Download here]]).
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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 · Last modified: 2020/09/24 14:46 by twagner