Created
December 19, 2017 02:26
-
-
Save DavidAntliff/70e61ba7ab3908f2edb1b0f234ff5037 to your computer and use it in GitHub Desktop.
Encode 32bit float into three 8bit RGBA channels
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env python | |
# Store 32-bit floating point number within three 8bit channels of a 32-bit RGBA pixel. | |
# Only suitable for normalised input values in the range [0.0, 1.0). | |
# | |
# Refer: https://aras-p.info/blog/2009/07/30/encoding-floats-to-rgba-the-final/ | |
import numpy as np | |
def frac(x): | |
return x - np.floor(x) | |
def encode(v): | |
enc = np.float32((1.0, 256.0, 256.0**2, 256.0**3)) * v | |
enc = frac(enc) | |
enc -= (enc[1], enc[2], enc[3], enc[3]) * np.float32((1/256.0, 1/256.0, 1/256.0, 0.0)) | |
return enc | |
def decode(rgba): | |
return np.dot(rgba, np.float32((1.0, 1/256.0, 1/(256.0**2), 1/(256.0**3)))) | |
if __name__ == "__main__": | |
max_diff = 0.0 | |
for x in np.linspace(0.0, 1.0, 1000, endpoint=False): | |
enc = encode(x) | |
enc8 = np.uint8(enc * 256.0) | |
dec8 = enc8 / 256.0 | |
dec = decode(dec8) | |
max_diff = np.maximum(max_diff, x - dec) | |
print(f"{x}: {x - dec}") | |
print(f"Max diff {max_diff}") |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment