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Add learning-based super-resolution module: final phase by Saafke · Pull Request #2231 · opencv/opencv_contrib · GitHub
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Add learning-based super-resolution module: final phase #2231
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Adds the module plus loading classes for SR data Complete with docs, tutorials and tests.
alalek
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Sep 29, 2019
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@Saafke @fannymonori Please take a look on merged changes from #2229
| When building OpenCV, run the following command to build the 'dnn_superres' module: | ||
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| ```make | ||
| cmake -DOPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -Dopencv_dnn_superres=ON <opencv_source_dir> |
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-Dopencv_dnn_superres=ON
There is no such option.
There are similar BUILD_ options, but adding them here is redundant (=ON be default).
It is better to mention -DBUILD_EXAMPLES=ON here and in other tutorials (=OFF be default).
alalek
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Oct 1, 2019
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Thank you for contribution 👍
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Merge with extra: opencv/opencv_extra#664
'Learning-based Super Resolution' project for Google Summer of Code 2019 by Xavier Weber.
This pull request completes my project and also includes all the code from my previous two PR's (#2164 and #2200). Part of this code is implemented by Fanny Monori who worked on the same project (it was hard to split the code between two PR's perfectly without problems).
This pullrequest changes
This module provides an interface so that users can easily upscale images via neural networks. Four trained models are supported. I implemented EDSR and FSRCNN. Fanny Monori implemented ESPCN and LapSRN.
This PR is closely related to Fanny's PR (#2229) who provides the same basic functionality but with other additions.