问题
I have an integer numpy array representing image with few values (about 2-5). And I would like to save it to png file with custom color for every value. I was trying it like this:
import numpy as np
from PIL import Image
array = np.zeros([100, 200, 4], dtype=np.uint8)
array[:,:100] = [255, 128, 0, 255] #Orange left side
array[:,100:] = [0, 0, 255, 255] #Blue right side
img = Image.fromarray(array)
img.save(r'D:\test.png')
The result is ok, but it has 4 channels. I need the result to be single channel with custom colors.
I was trying it this way:
array = np.zeros([100, 200], dtype=np.uint8)
array[:,:100] = 1
array[:,100:] = 0
the result is single channel, but it is of course graysale. I can't figure out how to assign color to values 1 and 0 and save it as single channel. Was trying play around with matplotlib colormaps, but with no success.
Any help will be very appreciated
回答1:
You can make a palette image like this:
#!/usr/bin/env python3
from PIL import Image
import numpy as np
# Make image with small random numbers
im = np.random.randint(0,5, (4,8), dtype=np.uint8)
# Make a palette
palette = [255,0,0, # 0=red
0,255,0, # 1=green
0,0,255, # 2=blue
255,255,0, # 3=yellow
0,255,255] # 4=cyan
# Pad with zeroes to 768 values, i.e. 256 RGB colours
palette = palette + [0]*(768-len(palette))
# Convert Numpy array to palette image
pi = Image.fromarray(im,'P')
# Put the palette in
pi.putpalette(palette)
# Display and save
pi.show()
pi.save('result.png')
来源:https://stackoverflow.com/questions/64681931/save-numpy-array-as-single-channel-png-with-custom-colors