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janni_tutorial [2019/09/16 11:15] twagner [Denoise] |
janni_tutorial [2019/09/16 13:19] shaikh [Just Another Noise 2 Noise Implementation (JANNI)] |
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[[https:// | [[https:// | ||
- | JANNI can be used a command line tool but also provides an simple interface to be integrated into other programs. | + | Besides |
==== Download and Installation ==== | ==== Download and Installation ==== | ||
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</ | </ | ||
- | The following command will run the denoising on GPU 0: | + | The following command will run the denoise the images in ''/ |
< | < | ||
- | janni_denoise.py predict / | + | janni_denoise.py predict / |
</ | </ | ||
</ | </ | ||
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- | To denoise a set if images you have to tell JANNI three **mandatory** arguments: | ||
- | - // | ||
- | - // | ||
- | - // | ||
- | |||
- | As model you can either use the model you trained for your data or the general model ([[janni# | ||
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- | There are couple of **optional** parameters that you use: | ||
- | * **%%-ol%%**: | ||
- | * **%%-bs%%**: | ||
- | * **%%-g%%**: GPU ID to run JANNI on. Multiple GPUs are not supported yet. | ||
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- | Here is now how you do the actual denoising: | ||
- | It is assumed that you run the command in a directory with your model file '' | ||