By default, OpenCV reads in an image as 3-channel, 8-bit BGR. Here are two methods, one using Matplotlib and one using only OpenCV Gradient:yellow-white append -resize 256x1\! colourmap.png If you make all the segments of the colour map the same length, you will get a different interpretation: magick -size 85x1 \ That makes three segments each with a linear gradient: You can also generate piece-wise linear colormaps like this: magick -size 160x1 gradient:navy-"rgb(220,110,110)" \ Np.take(cmap.getdata(), grey, axis=0, out=result) # Take entries from RGB colourmap according to greyscale values in image Result = np.zeros((*grey.shape,3), dtype=np.uint8) # Make output image, same height and width as grey image, but 3-channel RGB omarray(grey).save('DEBUG-grey.png') # DEBUG onlyĬmap = Image.open('colourmap.png').convert('RGB') Grey = np.mean(na, axis=2).astype(np.uint8) Im = Image.open('swirl.png').convert('RGB') # Load image, make into Numpy array and average RGB channels Next, same thing with PIL/Numpy: #!/usr/bin/env python3 I loaded your swirl image and separated it into its constituent RGB channels then averaged the channels and applied the colourmap, also known as CLUT or "Colour Lookup Table": magick swirl.png -channel RGB -separate -evaluate-sequence mean colourmap.png -clut result.png First, just with ImageMagick in Terminal. I also cropped your swirl thing off the left side of your image - please post images separately in future. In my case, I loaded your image into Photoshop, cut out the gradient and rotated it to make an image exactly 256-pixels wide by 1-pixel high. I don't have or know Clip Studio, so maybe it will let you export the colormap, or create a greyscale gradient and apply the colormap to it, then save the result as a PNG. The first thing is to get hold of the colormap - the vertical bar down the right side of your image. You can do that quite easily with ImageMagick or with PIL/Numpy/OpenCV. I just have no idea how to apply a gradient of my palette to the pixel. Loading, calculating brightness, and saving are easy. Plus I like Python, and want to learn how to edit and generate art with it. Initially I had something going with Processing, but I found the task of exporting tons of images with Processing to be weird and hacky. Unfortunately I'm having a very hard time understanding or applying any of the results that come up when I search for gradient maps or color maps with Python.Īll the potential solution threads I found used numpy or matplotlib which have lots of mathy lines that go right over my head. Photoshop and other software have ways to automate this, but they can't do exactly what I want, so I thought Python might do the trick. Gradient maps take the brightness of a given pixel and apply a gradient of colors according to brightness. Most image editing software has gradient map functions.
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