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@@ -8440,9 +8440,12 @@ Recurrent Squeeze-and-Excitation Context Aggregation Net (RESCAN). |
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See @url{http://openaccess.thecvf.com/content_ECCV_2018/papers/Xia_Li_Recurrent_Squeeze-and-Excitation_Context_ECCV_2018_paper.pdf}. |
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@end itemize |
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Training scripts as well as scripts for model generation are provided in |
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Training as well as model generation scripts are provided in |
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the repository at @url{https://github.com/XueweiMeng/derain_filter.git}. |
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Native model files (.model) can be generated from TensorFlow model |
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files (.pb) by using tools/python/convert.py |
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The filter accepts the following options: |
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@table @option |
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@@ -8453,14 +8456,19 @@ the following values: |
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@table @samp |
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@item native |
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Native implementation of DNN loading and execution. |
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@item tensorflow |
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TensorFlow backend. To enable this backend you |
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need to install the TensorFlow for C library (see |
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@url{https://www.tensorflow.org/install/install_c}) and configure FFmpeg with |
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@code{--enable-libtensorflow} |
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@end table |
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Default value is @samp{native}. |
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@item model |
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Set path to model file specifying network architecture and its parameters. |
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Note that different backends use different file formats. TensorFlow backend |
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can load files for both formats, while native backend can load files for only |
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its format. |
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Note that different backends use different file formats. TensorFlow and native |
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backend can load files for only its format. |
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@end table |
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@section deshake |
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