Differences

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

--- janni_tutorial [2019/09/16 13:27]
shaikh [Training a model for your data]
+++ janni_tutorial [2019/09/16 13:40]
shaikh [Denoise]
@@ Line 71: / Line 71: @@
 ==== Denoise ====
-With a trained model (either trained by you or the general model ([[janni#Download|Download here]]) ) you can directly denoise either your movies or averages. In our experience, denoising the motion corrected averages works better. In the GUI select the action //Denoise// and fill the required parameters:
+With a trained model (either a model trained by you or the general model ([[janni#Download|Download here]]) ), you can directly denoise either your movies or averages. In our experience, denoising the motion corrected averages works better. In the GUI select the action //denoise// and fill the required parameters:
 {{ ::janni_denoise.png?700 |}}
-You might also want to change the GPU ID in //Optional arguments// tab. After that press the //Start// button. JANNI will denoise your images with roughly 1s per micrograph.
+You might also want to change the GPU ID in //Optional arguments// tab. Then, press the //Start// button. JANNI will denoise your images at roughly 1s per micrograph.
 <hidden **Run prediction in the command line**>
-In case you need a description of all available parameters type:
+In case you need a description of all available parameters, type:
 <code>
 janni_denoise.py predict -h
 </code>
-The following command will run the denoise the images in ''/my/averages/'' and save the denoised images in ''/my/outputdir/denoised/''. The denoising will run on GPU 0:
+The following command will run the denoise the images in ''/my/averages/'' and save the denoised images in ''/my/outputdir/denoised/''. The denoising here will run on GPU 0:
 <code>
 janni_denoise.py predict /my/averages/ /my/outputdir/denoised/ janni_imodel.h5 -g 0

User Tools

Site Tools

Differences

Page Tools