sepia-filt / app.py
patwolff's picture
Create app.py
30b9db1
raw
history blame contribute delete
266 Bytes
import numpy as np
def sepia(image):
sepia_filter = np.array(
[[0.393, 0.769, 0.189],
[0.349, 0.686, 0.168],
[0.272, 0.534, 0.131]]
)
sepia_img = image.dot(sepia_filter.T)
sepia_img /= sepia_img.max()
return sepia_img