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Add fast NL means denoiser node #1890
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Yes actually. You would use an "if_group" with a type condition that matches RGB/RGBA, similar to this: chaiNNer/backend/src/packages/chaiNNer_pytorch/pytorch/restoration/upscale_face.py Line 125 in 880441d
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OK. I'll modify my code. |
backend/src/packages/chaiNNer_standard/image_filter/noise/fast_nlmeans.py
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backend/src/packages/chaiNNer_standard/image_filter/noise/fast_nlmeans.py
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backend/src/packages/chaiNNer_standard/image_filter/noise/fast_nlmeans.py
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…_nlmeans.py Co-authored-by: Michael Schmidt <msrd0000@gmail.com>
…_nlmeans.py Co-authored-by: Michael Schmidt <msrd0000@gmail.com>
backend/src/packages/chaiNNer_standard/image_filter/noise/fast_nlmeans.py
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Formatting on tests currently fail. To fix the formatting, run the command |
…_nlmeans.py Co-authored-by: Michael Schmidt <msrd0000@gmail.com>
I didn't know. I am a beginner. Would it be possible to document the different steps before creating a pull request ? Thanks. |
Good point. I'll add it to our contributing docs. |
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Thank you @adegerard!
This PR adds a Non-local Means Denoising algorithm.
Note: the "Color strength" input is only used when the input image is RGB/RGBA: is it possible to hide this field when the connected image is a grayscale image?