Differences

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

--- janni_tutorial [2019/07/10 10:36]
twagner [Denoise]
+++ janni_tutorial [2019/07/16 10:01]
twagner [Training a model for your data]
@@ Line 43: / Line 43: @@
   * **saved_weights_name**: Filename of your model.
 In principle you only have to adapt the paths. The other could keep as they are.
-We typically use at least 30 movies to train the model. Less might also work, more work often much better.
+We typically use at least 30 movies (unaligned) to train the model. Less might also work, more work often much better.
 To run the training on gpu 0:
@@ Line 67: / Line 67: @@
 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 [[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///
+It is assumed that you run the command in a directory 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: