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utils.py
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323 lines (210 loc) · 7.14 KB
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"""
Helper functions for flim
Repo:
https://github.com/bean-mhm/flim
"""
import numpy as np
import colour
# Constants
white = np.array([1.0, 1.0, 1.0])
red = np.array([1.0, 0.0, 0.0])
yellow = np.array([1.0, 1.0, 0.0])
green = np.array([0.0, 1.0, 0.0])
cyan = np.array([0.0, 1.0, 1.0])
blue = np.array([0.0, 0.0, 1.0])
magenta = np.array([1.0, 0.0, 1.0])
def wrap(x, a, b):
return a + np.mod(x - a, b - a)
def lerp(a, b, t):
return a + t * (b - a)
def safe_divide(a, b):
if (b == 0.0):
return 0.0
return a / b
def safe_pow(a, b):
return np.sign(a) * (np.abs(a)**b)
def pivot_pow(a, b, pivot):
return pivot * ((a / pivot)**b)
def smootherstep(x, edge0, edge1):
x = np.clip(safe_divide((x - edge0), (edge1 - edge0)), 0.0, 1.0)
return x * x * x * (x * (x * 6.0 - 15.0) + 10.0)
def map_range(inp, inp_start, inp_end, out_start, out_end):
return out_start + ((out_end - out_start) / (inp_end - inp_start)) * (inp - inp_start)
def map_range_clamp(inp, inp_start, inp_end, out_start, out_end):
v = out_start + ((out_end - out_start) / (inp_end - inp_start)) * (inp - inp_start)
if v < out_start:
return out_start
if v > out_end:
return out_end
return v
def map_range_smootherstep(inp, inp_start, inp_end, out_start, out_end):
if (inp_start == inp_end):
return 0.0
fac = \
(1.0 - smootherstep(inp, inp_end, inp_start)) \
if inp_start > inp_end \
else smootherstep(inp, inp_start, inp_end)
return out_start + fac * (out_end - out_start)
def blender_rgb_to_hsv(inp):
h = 0.0
s = 0.0
v = 0.0
cmax = max(inp[0], max(inp[1], inp[2]))
cmin = min(inp[0], min(inp[1], inp[2]))
cdelta = cmax - cmin
v = cmax
if cmax != 0.0:
s = cdelta / cmax
if s != 0.0:
c = (-inp + cmax) / cdelta
if inp[0] == cmax:
h = c[2] - c[1]
elif inp[1] == cmax:
h = 2.0 + c[0] - c[2]
else:
h = 4.0 + c[1] - c[0]
h /= 6.0
if h < 0.0:
h += 1.0
return np.array([h, s, v])
def blender_hsv_to_rgb(inp):
h = inp[0]
s = inp[1]
v = inp[2]
if s == 0.0:
return np.array([v, v, v])
else:
if h == 1.0:
h = 0.0
h *= 6.0
i = np.floor(h)
f = h - i
p = v * (1.0 - s)
q = v * (1.0 - (s * f))
t = v * (1.0 - (s * (1.0 - f)))
if i == 0.0:
return np.array([v, t, p])
elif i == 1.0:
return np.array([q, v, p])
elif i == 2.0:
return np.array([p, v, t])
elif i == 3.0:
return np.array([p, q, v])
elif i == 4.0:
return np.array([t, p, v])
else:
return np.array([v, p, q])
def blender_hue_sat(inp, hue, sat, value):
hsv = blender_rgb_to_hsv(inp)
hsv[0] = np.modf(hsv[0] + hue + 0.5)[0]
hsv[1] = np.clip(hsv[1] * sat, 0, 1)
hsv[2] = hsv[2] * value
return blender_hsv_to_rgb(hsv)
def BT_709_to_XYZ(inp):
mat = np.array([
[ 0.4123908 , 0.35758434, 0.18048079],
[ 0.21263901, 0.71516868, 0.07219232],
[ 0.01933082, 0.11919478, 0.95053215]
])
return np.matmul(mat, inp)
def XYZ_to_BT_709(inp):
mat = np.array([
[ 3.24096994, -1.53738318, -0.49861076],
[-0.96924364, 1.8759675 , 0.04155506],
[ 0.05563008, -0.20397696, 1.05697151]
])
return np.matmul(mat, inp)
luminance_BT_709_I_D65 = np.array([0.299, 0.587, 0.114])
def rgb_lum(inp):
return np.dot(inp, luminance_BT_709_I_D65)
def rgb_avg(inp):
return (inp[0] + inp[1] + inp[2]) / 3.0
def rgb_sum(inp):
return inp[0] + inp[1] + inp[2]
def rgb_max(inp):
return max(max(inp[0], inp[1]), inp[2])
def rgb_min(inp):
return min(min(inp[0], inp[1]), inp[2])
def rgb_mag(inp):
return np.linalg.norm(inp)
def rgb_mag_over_sqrt3(inp):
return np.linalg.norm(inp) / 1.7320508075688772935274463415059
def rgb_hue(inp):
x1 = (inp[1] - inp[2]) * np.sqrt(3)
x2 = inp[0]*2 - inp[1] - inp[2]
hue = np.rad2deg(np.arctan2(x1, x2))
if hue < 0.0:
hue += 360.0
if hue > 360.0:
hue -= 360.0
return hue
def rgb_sat(inp):
inp_norm = inp / rgb_max(inp)
return np.clip(rgb_max(inp_norm) - rgb_min(inp_norm), 0, 1)
def rgb_monotone(inp, col, amount):
inp_mag = rgb_mag(inp)
inp_norm = inp / inp_mag
col_norm = col / rgb_mag(col)
dot = np.dot(inp_norm, col_norm)
out = col_norm * (inp_mag * dot)
return inp + amount * (out - inp)
def rgb_uniform_offset(inp, black_point, white_point):
mono = rgb_avg(inp)
return inp * map_range_clamp(mono, black_point / 1000, 1 - (white_point / 1000), 0, 1) / mono
# Adjust the highlights and the shadows in a smooth way.
# Note: All arguments must be scalars.
def enhance_curve(inp, shadow_pow, highlight_pow, mix_pow):
a = inp**shadow_pow
b = 1.0 - (1.0 - inp)**highlight_pow
mix = inp**mix_pow
return lerp(a, b, mix)
def flim_sigmoid(inp, toe, shoulder, transition):
a = inp**toe
b = 1.0 - (1.0 - inp)**shoulder
mix = inp**transition
return lerp(a, b, mix)
def flim_dye_mix_factor(mono, max_density):
# log2 and map range
fac = map_range_clamp(np.log2(mono + 0.0625), -4.0, 16.0, 0.0, 1.0)
# Calculate exposure
fac = 1.0 - flim_sigmoid(1.0 - fac, toe = 4.0, shoulder = 2.0, transition = 2.0)
# Calculate dye density
fac *= max_density
# Mix factor
fac = 2.0 ** (-fac)
# Clip
return np.clip(fac, 0, 1)
def flim_rgb_color_layer(inp, sensitivity_tone, sensitivity_amount, dye_tone, max_density):
# Normalize
sensitivity_tone_norm = sensitivity_tone / rgb_sum(sensitivity_tone)
dye_tone_norm = dye_tone / rgb_max(dye_tone)
# Dye mix factor
mono = np.dot(inp, sensitivity_tone_norm) * sensitivity_amount
mix = flim_dye_mix_factor(mono, max_density)
# Dye mixing
out = lerp(dye_tone_norm, white, mix)
return out
def flim_rgb_develop(inp, exposure, blue_sens, green_sens, red_sens, max_density):
# Exposure
inp = inp * 2**exposure
# Blue-sensitive layer
out = flim_rgb_color_layer(inp, blue, blue_sens, yellow, max_density)
# Green-sensitive layer
out *= flim_rgb_color_layer(inp, green, green_sens, magenta, max_density)
# Red-sensitive layer
out *= flim_rgb_color_layer(inp, red, red_sens, cyan, max_density)
# Filter sensitivty tint
out *= np.array([red_sens, green_sens, blue_sens])
return out
def flim_gamut_extension_mat_row(primary_hue, scale, rotate):
out = blender_hsv_to_rgb(np.array([
wrap(primary_hue + (rotate / 360.0), 0.0, 1.0),
1.0 / scale,
1.0]))
return out / rgb_sum(out)
def flim_gamut_extension_mat(red_scale, green_scale, blue_scale, red_rot, green_rot, blue_rot):
return np.array([
flim_gamut_extension_mat_row(0.0, red_scale, red_rot),
flim_gamut_extension_mat_row(1.0 / 3.0, green_scale, green_rot),
flim_gamut_extension_mat_row(2.0 / 3.0, blue_scale, blue_rot)
])