Reputation: 397
I have a float array like this [0.1,0.4,1.5,2.22,3] where max value is always 3.0
I want to Quantize that to a byte array from 0 to 255 for each value I want to Quantize it like (byte)((value / 3.0) * 255.0)
Is there a way to do that in numpy very fast rather than iterating every value in Python and rebuilding a new byte array?
Upvotes: 0
Views: 881
Reputation: 120509
Use astype
import numpy as np
value = np.array([0.1, 0.4, 1.5, 2.22, 3])
out = ((value / 3.0) * 255.0).astype(np.ubyte)
print(out)
# Output
array([ 8, 34, 127, 188, 255], dtype=uint8)
Upvotes: 2