From a0b14e8d089f83a7d423a873f0796bed3d549742 Mon Sep 17 00:00:00 2001 From: Ahmet Can Solak Date: Tue, 23 Nov 2021 11:18:57 -0800 Subject: [PATCH] initital commit, implemented (#54) Co-authored-by: acs-ws --- .../tutorials/api_tutorials/restoration/noise2self_cnn.rst | 6 +++--- .../tutorials/api_tutorials/restoration/noise2self_fgr.rst | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/source/tutorials/api_tutorials/restoration/noise2self_cnn.rst b/docs/source/tutorials/api_tutorials/restoration/noise2self_cnn.rst index 6483dffd..3b23e587 100644 --- a/docs/source/tutorials/api_tutorials/restoration/noise2self_cnn.rst +++ b/docs/source/tutorials/api_tutorials/restoration/noise2self_cnn.rst @@ -6,7 +6,7 @@ options using our Object-Oriented denoising API. .. code-block:: python - from aydin.restoration.denoise.noise2self_cnn import Noise2SelfCNN + from aydin.restoration.denoise.noise2selfcnn import Noise2SelfCNN n2s = Noise2SelfCNN() n2s.train(noisy_image) @@ -18,7 +18,7 @@ denoising. One can do the the following: .. code-block:: python - from aydin.restoration.denoise.noise2self_cnn import Noise2SelfCNN + from aydin.restoration.denoise.noise2selfcnn import Noise2SelfCNN transforms = [ {"class": RangeTransform, "kwargs": {}}, @@ -33,7 +33,7 @@ options using our procedural denoising endpoint. .. code-block:: python - from aydin.restoration.denoise.noise2self_cnn import noise2self_cnn + from aydin.restoration.denoise.noise2selfcnn import noise2self_cnn denoised_image = noise2self_cnn(noisy_image) diff --git a/docs/source/tutorials/api_tutorials/restoration/noise2self_fgr.rst b/docs/source/tutorials/api_tutorials/restoration/noise2self_fgr.rst index 3850757a..07ef18b1 100644 --- a/docs/source/tutorials/api_tutorials/restoration/noise2self_fgr.rst +++ b/docs/source/tutorials/api_tutorials/restoration/noise2self_fgr.rst @@ -6,7 +6,7 @@ options using our Object-Oriented denoising API. .. code-block:: python - from aydin.restoration.denoise.noise2self_fgr import Noise2SelfFGR + from aydin.restoration.denoise.noise2selffgr import Noise2SelfFGR n2s = Noise2SelfFGR() n2s.train(noisy_image) @@ -18,7 +18,7 @@ denoising. One can do the the following: .. code-block:: python - from aydin.restoration.denoise.noise2self_fgr import Noise2SelfFGR + from aydin.restoration.denoise.noise2selffgr import Noise2SelfFGR transforms = [ {"class": RangeTransform, "kwargs": {}}, @@ -33,7 +33,7 @@ options using our procedural denoising endpoint. .. code-block:: python - from aydin.restoration.denoise.noise2self_fgr import noise2self_fgr + from aydin.restoration.denoise.noise2selffgr import noise2self_fgr denoised_image = noise2self_fgr(noisy_image)