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remove weights and added info about dataset
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Simone-Alghisi committed Feb 9, 2022
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3 changes: 3 additions & 0 deletions README.rst
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Expand Up @@ -251,6 +251,8 @@ Only training on GPU is supported.
* A previous training can be resumed passing the *--resume_training* flag
* It is possible to specify a different dataset location for training (validation) with ``--traindbf`` (``--valdbf``)
* Resource can be limited by users (when using torch 1.10.0) with the option ``--gpu_fraction``
* Training was performed by considering a file containing 50160 patches 100x100 with 50px of stride, while
for the validation we considered a file containing 16080 patches.

4. Testing
^^^^^^^^^^
Expand Down Expand Up @@ -431,6 +433,7 @@ Where:
* Use the ``--sigma`` option to specify a set noise value for the dataset (if not specified, this is calculated for every image)
* Use the ``--gray`` option if using a gray dataset
* Use the ``--cut_dim`` option to specify the size of the cut of the images used for the estimation of the PRNU
* For the fingerprints extraction, we considered a set of 3 camera models with 130 (flat) images per model


ABOUT THIS FILE
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4 changes: 4 additions & 0 deletions models/.gitignore
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# Ignore everything in this directory
*
# Except this file
!.gitignore
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