Created
July 15, 2021 21:08
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import os | |
import numpy as np | |
from PIL import Image | |
#------------------------------------------------------------------- | |
# | |
# helper functions | |
# | |
def create_complex_plane(X, Y, x0, x1, y0, y1, endpoint=False): | |
I = np.indices((Y,X)).astype(np.float64) | |
fy = (y1 - y0) / (Y - 1) if endpoint else (y1 - y0) / Y | |
fx = (x1 - x0) / (X - 1) if endpoint else (x1 - x0) / X | |
return (x0 + fx*I[1]) + 1j*(y0 + fy*I[0]) | |
def gradient(R, bins, left, right= None): | |
bin_widths = bins[1:] - bins[:-1] | |
D = np.digitize(R, bins) - 1 | |
C0 = np.take(left, D, axis=0) | |
if right is None: | |
return C0 | |
# create gradients between left and right | |
C1 = np.take(right, D, axis=0) | |
F = (R - np.take(bins, D))/np.take(bin_widths, D) | |
C = (1-F)*C0 + F*C1 | |
return C | |
def normalize(x, floor = -1e+300, ceil = +1e+300, nan_replace = 0.0): | |
x = np.where(np.isnan(x), nan_replace, x) | |
x = np.maximum(x, floor) | |
x = np.minimum(x, ceil) | |
xmin, xmax = np.min(x), np.max(x) | |
return (x - xmin) / (xmax - xmin) | |
def save_hsv(H, S, V, path): | |
H = (H*255/(2*np.pi)).astype(np.uint8) | |
S = (S*255).astype(np.uint8) | |
V = (V*255).astype(np.uint8) | |
HSV = np.dstack((H, S, V)) | |
im = Image.fromarray(HSV, mode='HSV') | |
im.convert('RGB').save(path) | |
#------------------------------------------------------------------- | |
stops_0 = np.array([-1.00001, -1e-05, 0.25, 0.53125, 0.625, 1.00001, 2.00001]) | |
values_left_0 = [2.86492189803275, 4.698623254760179, 3.457225437935598, 3.7918834264604224, 2.496658308359455, 0.3395521481846612] | |
values_right_0 = [2.86492189803275, 6.115746101538593, 1.3543053934788272, 3.18576589688516, 2.496658308359455, 0.3395521481846612] | |
stops_1 = np.array([-1.00001, -1e-05, 1.00001, 2.00001]) | |
values_left_1 = [0.9921943038795653, 0.6664993476731257, 0.6664993476731257] | |
values_right_1 = [0.9921943038795653, 0.6664993476731257, 0.6664993476731257] | |
stops_2 = np.array([-1.00001, -1e-05, 0.21875, 0.25, 0.34375, 0.375, 0.40625, 0.4375, 0.46875, 0.71875, 1.00001, 2.00001]) | |
values_left_2 = [0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0] | |
values_right_2 = [0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0] | |
#------------------------------------------------------------------- | |
W, H = 800, 800 | |
x0, x1 = 0.03, -0.03 | |
y0, y1 = 0.03, -0.03 | |
r0 = create_complex_plane(W, H, x0, x1, y0, y1, endpoint=False) | |
r1 = ((-15.249527681959963+8.668211779907674j) + ((-0.7054031926415091-0.0047457884694788776j) * r0)) | |
r2 = (r0 * r0) | |
r3 = (r2 * r2) | |
r4 = ((r1 + ((0.16031530695140064-0.042085564548966635j) * r2)) + ((0.0027314331527144237-0.0006840927695600108j) * r3)) | |
r5 = (r4 + ((-0.08533582375877406-0.0061846172273119825j) * (r3 * r3))) | |
r6 = np.sqrt(np.arccos(np.log(np.sinh(np.tan(np.tanh(r5)))))) | |
r7 = ((-0.0026811793904167568+1.2520350931269721j) * (np.cos(np.real(r6)) + (1j * np.sin(np.imag(r6))))) | |
r8 = ((-0.07463529612373146-0.3659012519588526j) + np.exp(np.real(r6))) | |
r9 = np.sinh(np.divide(r7, r8)) | |
r10 = ((1.8190228888554532+2.0279394102793478j) + ((1.8997016296246896+2.0988468801639946j) * r9)) | |
r11 = (r9 * r9) | |
r12 = (r11 * r11) | |
r13 = ((r10 + ((-0.07275161093543825-1.7603956448130778j) * r11)) + ((-0.0007946563858814499-0.0007917423801263266j) * r12)) | |
r14 = (r13 + ((0.5404520045270538-0.08072393820287956j) * (r12 * r12))) | |
r15 = np.angle(r14) | |
r16 = normalize(r15, -1e+300, 1e+300, 0.0) | |
r17 = gradient(r16, stops_0, values_left_0, values_right_0) | |
r18 = gradient(r16, stops_1, values_left_1, values_right_1) | |
r19 = gradient(r16, stops_2, values_left_2, values_right_2) | |
#------------------------------------------------------------------- | |
save_hsv(r17, r18, r19, 'out.jpg') |
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