"""2026-02-25
Eyes Collective 05
Desenho que se assemelha a um coletivo de olhos alienígenas
ericof.com|https://openprocessing.org/sketch/1307209
png
Sketch,py5,CreativeCoding
"""
from dataclasses import dataclass
from functools import cache
from sketches.utils.draw import canvas
from sketches.utils.draw.formas import pontos_esfera
from sketches.utils.helpers import recursos
from sketches.utils.helpers import sketches as helpers
from sketches.utils.helpers.timing import report_time
from typing import cast
import numpy as np
import py5
sketch = helpers.info_for_sketch(__file__, __doc__)
cor_fundo = py5.color(0)
bolas: list["Bola"] = []
status = True
inner_radius_i = 50
inner_radius = 60
inner_radius_sa = 160
outer_radius = 600
num_balls = 12_000
inner_r = inner_radius
outer_r = 600
perimetro = 1000
perimetro_pontos = 1000
esfera_raio = outer_r / 8.0
noise_amp = 40
noise_factor = 80
inner_noise_factor = 40
inner_alpha = 100
outer_alpha = 80
thick = 2
step = 0.8
point_step = 0.8
z_factor = 0.75
PG_DIMENSAO = 2000, 1000
PG_MEIO = 1000, 500
@dataclass
class EsferaInfo:
esfera: py5.Py5Shape
x: float
y: float
z: float
rotacoes: list[float]
controle: list[float]
escala: float = 1.0
vizinhos: list = None
esferas: list[EsferaInfo] = []
luz_x = 500
luz_y = 500
luz_z = -1200
brilho = 5
escala = 1.0
fator_escala = 1.00
@dataclass
class Circulo:
x: float
y: float
raio: float
cor: int
@dataclass
class Iteracao:
rotacao: float
circulos: list[Circulo]
@cache
def lerp_color_rgba(c1: int, c2: int, t) -> int:
t = py5.constrain(t, 0, 1)
r = float(py5.lerp(py5.red(c1), py5.red(c2), t))
g = float(py5.lerp(py5.green(c1), py5.green(c2), t))
b = float(py5.lerp(py5.blue(c1), py5.blue(c2), t))
a = float(py5.lerp(py5.alpha(c1), py5.alpha(c2), t))
return py5.color(r, g, b, a)
class Bola:
def __init__(self, px, py, vx, vy, ax, ay, r):
self.px = px
self.py = py
self.vx = vx
self.vy = vy
self.ax = ax
self.ay = ay
self.r = r
def update(self):
# Integrate
self.vx += self.ax
self.vy += self.ay
self.px += self.vx
self.py += self.vy
# Flow field-ish noise steering (same spirit as original)
noise_fx = 35
noise_fy = 35
nx = py5.noise(self.px / noise_fx, self.py / noise_fy, 10)
ny = py5.noise(self.px / noise_fx, self.py / noise_fy, 100)
self.vx = py5.remap(nx, 0, 1, -1, 1) * 2.5
self.vy = py5.remap(ny, 0, 1, -1, 1) * 2.5
def draw(self) -> Circulo:
dist_ = py5.sqrt(self.px * self.px + self.py * self.py)
alpha = py5.remap(dist_, inner_radius, outer_radius, 100, 0)
alpha = py5.constrain(alpha, 0, 255)
cor = py5.color(20, 100, 255, int(alpha))
return Circulo(self.px, self.py, self.r, cor)
def area_central(rotacao: float, idx: int, raio: int = 1) -> Iteracao:
j = 0
circulos = [Circulo(0, 0, 10, py5.color(20, 20, 20, 50))]
while j < inner_radius_sa:
alpha = float(py5.remap(j, 0, inner_radius_sa, inner_alpha, 20))
cor = py5.color(0, 0, 0, alpha)
y = float(py5.noise(j / noise_factor / 3, idx) * noise_amp)
circulos.append(Circulo(j, y, raio, cor))
j += point_step
return Iteracao(rotacao=rotacao, circulos=circulos)
def anel_interno(rotacao: float, idx: int, raio: int = 1) -> Iteracao:
seed = idx / inner_noise_factor / 10
circulos = []
inicio = float(
inner_radius_i
+ py5.noise(py5.sin(seed), py5.cos(seed)) * 15
+ py5.random(-3, 3)
)
j = inicio
while j < outer_radius:
alpha = float(
py5.remap(j, inner_radius_i, outer_radius, inner_alpha, outer_alpha)
)
mix = float(py5.remap(j, 0, (outer_radius - inner_radius), 0, 1))
c3 = py5.color(247, 127, 0)
c4 = py5.color(255, 255, 255)
ci = lerp_color_rgba(c4, c3, mix)
cor = py5.color(py5.red(ci), py5.green(ci), py5.blue(ci), alpha)
y = float(py5.noise(j / noise_factor / 3, py5.frame_count) * noise_amp)
circulos.append(Circulo(j, y, raio, cor))
j += point_step
return Iteracao(rotacao=rotacao, circulos=circulos)
def anel_central(rotacao: float, idx: int, point_index: int, raio: int = 1) -> Iteracao:
circulos = []
i = float(
inner_radius
+ 10 * py5.sin(20 * idx)
+ py5.noise(idx / inner_noise_factor) * 50
+ py5.random(-5, 5)
)
while i < outer_radius:
alpha = float(
py5.remap(i, inner_radius, outer_radius, inner_alpha, outer_alpha)
)
mix = float(py5.remap(i, 0, (outer_radius - inner_radius), 0, 1))
c1 = py5.color(0, 255, 167)
c2 = py5.color(255, 255, 255)
ci = lerp_color_rgba(c2, c1, mix)
thick1 = (
py5.noise(idx * 10) * thick
+ 20 * (py5.sin(10 * idx) + 1)
+ py5.random(-5, 5)
)
raio_ = 1.6 if point_index < thick1 else raio
cor = py5.color(py5.red(ci), py5.green(ci), py5.blue(ci), alpha)
y = float(py5.noise(i / noise_factor, idx) * noise_amp)
circulos.append(Circulo(i, y, raio_, cor))
point_index += 1
i += point_step
return Iteracao(rotacao=rotacao, circulos=circulos)
def anel_externo(rotacao: float, idx: int, point_index: int, raio: int = 1) -> Iteracao:
circulos = []
i = cast(
float,
(
inner_radius_sa
- 10 * py5.sin(2.5 * idx)
- py5.noise(idx / inner_noise_factor / 1.1) * 40
- py5.random(-3, 3)
),
)
while i < outer_radius:
# Menor alpha próximo ao centro, maior quanto mais distante
alpha = float(
py5.remap(i, inner_radius, outer_radius, outer_alpha + 20, inner_alpha - 15)
)
mix = float(py5.remap(i, 0, (outer_radius - inner_radius), 0, 1))
c5 = py5.color(51, 255, 51)
c6 = py5.color(17, 255, 17)
ci = lerp_color_rgba(c6, c5, mix)
cor = py5.color(py5.red(ci), py5.green(ci), py5.blue(ci), alpha)
circulos.append(Circulo(i, 0, raio, cor))
point_index += 1
i += point_step
return Iteracao(rotacao=rotacao, circulos=circulos)
def vizinhos_knn_esfera(points: np.ndarray, idx: int, k: int = 6) -> np.ndarray:
"""
points: (N, 3)
idx: índice do ponto base
k: número de vizinhos desejado
retorna: índices dos k vizinhos mais próximos (por distância angular)
"""
if points.ndim != 2 or points.shape[1] != 3:
raise ValueError("points precisa ter shape (N, 3)")
n = points.shape[0]
if not (0 <= idx < n):
raise IndexError("idx fora do range")
if k <= 0:
return np.array([], dtype=int)
if n <= 1:
return np.array([], dtype=int)
# normaliza para raio 1 (remove efeito do raio na métrica angular)
p = points / np.linalg.norm(points, axis=1, keepdims=True)
# similaridade angular = cos(angulo) = dot(u, v); maior => mais perto
sims = p @ p[idx]
sims[idx] = -np.inf # exclui o próprio ponto
k = min(k, n - 1)
# pega top-k por similaridade (sem ordenar tudo)
nn = np.argpartition(-sims, kth=k - 1)[:k]
# opcional: ordenar do mais próximo para o menos próximo
nn = nn[np.argsort(-sims[nn])]
return nn
def calcula_desenho() -> dict[int, list[Iteracao]]:
limite = 20
d = 0.0
e = 0.0
g = 0.0
point_index = 0
full_turn = py5.TWO_PI
iteracoes = {}
idx = 0
while g < full_turn:
grupo = []
if d < full_turn:
grupo.append(area_central(d, idx, 6))
grupo.append(anel_interno(d, idx, 1))
if e < full_turn:
grupo.append(anel_central(e, idx, point_index))
if g < full_turn:
percentual = (g / full_turn) * 100
if percentual > limite:
limite += 20
print(f"{percentual:02f}")
grupo.append(anel_externo(g, idx, point_index, 1))
circulos = []
for b in bolas:
b.update()
circulos.append(b.draw())
grupo.append(Iteracao(0, circulos))
iteracoes[idx] = grupo
d += float(py5.radians(step * py5.random(0.5, 0.75)))
e += float(py5.radians(step * py5.random(0.5, 0.75)))
g += float(py5.radians(step * py5.random(0.3, 0.5)))
idx += 1
point_index = 0
return iteracoes
def cria_imagem(iteracoes, filename: str) -> py5.Py5Graphics | py5.Py5Image:
pg = py5.create_graphics(*PG_DIMENSAO, py5.P3D)
with pg.begin_draw():
pg.background(py5.color(255, 255, 255))
with pg.push():
pg.translate(*PG_MEIO)
for _, grupos in iteracoes.items():
for iteracao in grupos:
with pg.push():
pg.rotate(iteracao.rotacao)
pg.no_stroke()
for circulo in iteracao.circulos:
pg.fill(circulo.cor)
pg.circle(circulo.x, circulo.y, circulo.raio)
recursos.salva_imagem_cache(pg, filename)
return pg
def cria_esfera(
textura: py5.Py5Graphics | py5.Py5Image, raio: float, rotacoes: list[float]
) -> py5.Py5Shape:
esfera = py5.create_shape(py5.SPHERE, raio)
esfera.set_texture(textura)
esfera.set_texture_mode(py5.IMAGE)
esfera.set_stroke(False)
esfera.rotate_x(py5.radians(rotacoes[0]))
esfera.rotate_y(py5.radians(rotacoes[1]))
esfera.rotate_z(py5.radians(rotacoes[2]))
return esfera
def desenha_olho(info: EsferaInfo):
esfera = info.esfera
esfera.set_shininess(brilho)
if escala != info.escala:
info.escala *= fator_escala
esfera.scale(fator_escala)
x, y, z = info.x, info.y, info.z
base = info.rotacoes
controle = info.controle
with py5.push():
py5.translate(x, y, z)
for idx, method in enumerate((
py5.rotate_x,
py5.rotate_y,
py5.rotate_z,
)):
rot_base = base[idx]
valor = controle[idx]
rotacao = valor - rot_base
if int(rotacao) != 0:
method(float(py5.radians(rotacao)))
py5.shape(esfera)
def desenha_nervo(info: EsferaInfo):
x, y, z = info.x, info.y, info.z
with py5.push():
for nx, ny, nz in info.vizinhos:
py5.stroke(255, 0, 0, 50)
py5.stroke_weight(1)
py5.line(x, y, z, nx, ny, nz)
def calcula_coordenadas(
idx: int, xb: float, yb: float, zb: float
) -> tuple[float, float, float]:
mult = z_factor if idx % 2 == 0 else 1.0
return xb, yb, zb * mult
def setup():
global esfera_central
py5.size(*helpers.DIMENSOES.external, py5.P3D)
py5.image_mode(py5.CENTER)
filename = f"{sketch.day}_pg.png"
esfera_central = py5.create_shape(py5.SPHERE, perimetro * z_factor * 0.75)
esfera_central.set_stroke(False)
esfera_central.set_fill("#222222")
esfera_info = []
rotacoes = [0.0, 90.0, 0.0]
pontos = np.array(pontos_esfera(perimetro, perimetro_pontos))
for idx, (xb, yb, zb) in enumerate(pontos):
x, y, z = calcula_coordenadas(idx, xb, yb, zb)
vizinhos = [
tuple(calcula_coordenadas(i, *pontos[i]))
for i in vizinhos_knn_esfera(pontos, idx, k=3)
]
esfera_info.append((x, y, z, rotacoes[:], vizinhos))
with report_time("Cria bolas"):
for _ in range(num_balls):
ang = py5.random(py5.TWO_PI) # radians
r = py5.random(inner_r, outer_r)
x = py5.cos(ang) * r
y = py5.sin(ang) * r
bolas.append(Bola(x, y, x * 1.45, y * 1.45, x * 0.018, y * 0.018, 3.5))
if not (pg := recursos.carrega_imagem_cache(filename)):
with report_time("Calcula desenho"):
iteracoes = calcula_desenho()
with report_time("Cria imagem"):
pg = cria_imagem(iteracoes, filename=filename)
with report_time("Cria Esferas"):
for x, y, z, rotacoes, vizinhos in esfera_info:
base = rotacoes[:]
esfera = cria_esfera(pg, esfera_raio, base)
esferas.append(EsferaInfo(esfera, x, y, z, base, rotacoes, 1.0, vizinhos))
def draw():
global luz_x, luz_y, fator_escala, escala
centro = helpers.DIMENSOES.centro
py5.background(cor_fundo)
py5.directional_light(200, 200, 200, luz_x, luz_y, luz_z)
escala *= fator_escala
for info in esferas:
with py5.push():
py5.translate(*centro, -perimetro * 1.5)
py5.shape(esfera_central)
desenha_nervo(info)
desenha_olho(info)
# Reseta escala
fator_escala = 1.0
texto = (
f"Frame: {py5.frame_count} - Luz: ({luz_x}, {luz_y}, {luz_z}) - "
f"Brilho: {brilho} - Escala: {escala:.2f}"
)
py5.window_title(texto)
# Credits and go
canvas.sketch_frame(
sketch,
cor_fundo,
"large_transparent_white",
"transparent_white",
version=2,
)
if not status:
save_and_close()
def mouse_pressed():
global luz_x, luz_y
button = py5.mouse_button
match button:
case py5.LEFT:
luz_x, luz_y = py5.mouse_x, py5.mouse_y
def key_pressed():
global luz_z, brilho, fator_escala
key = py5.key
match key:
case "r":
luz_z -= 10
case "f":
luz_z += 10
case "w":
brilho += 1
case "s":
brilho -= 1
case "a":
fator_escala = 0.95
case "d":
fator_escala = 1.05
case " ":
save_and_close()
def save_and_close():
py5.no_loop()
canvas.save_sketch_image(sketch)
py5.exit_sketch()
if __name__ == "__main__":
py5.run_sketch()
