From 934add5d912b5ba745b40f8edb0dc50bd045574e Mon Sep 17 00:00:00 2001 From: Benjamin Loison Date: Fri, 10 May 2024 00:14:30 +0200 Subject: [PATCH] Add boxplot for the specified denoisers --- ...e_single_color_channel_images_according_to_bayer_filter.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/datasets/raise/merge_with_same_color_scale_single_color_channel_images_according_to_bayer_filter.py b/datasets/raise/merge_with_same_color_scale_single_color_channel_images_according_to_bayer_filter.py index 4de3581..b50383a 100755 --- a/datasets/raise/merge_with_same_color_scale_single_color_channel_images_according_to_bayer_filter.py +++ b/datasets/raise/merge_with_same_color_scale_single_color_channel_images_according_to_bayer_filter.py @@ -24,6 +24,10 @@ for denoiser in DENOISERS: multipleColorsImage = mergeSingleColorChannelImagesAccordingToBayerFilter(singleColorChannelImages) multipleColorsImageDenoisers[denoiser] = multipleColorsImage +plt.boxplot(list(map(np.ravel, multipleColorsImageDenoisers.values())), labels = DENOISERS) +plt.grid(True) +plt.show() + def getExtreme(extreme): vExtreme = extreme(list(multipleColorsImageDenoisers.values())) return vExtreme