https://www.douyin.com/user/self?modal_id=7187722820967763237
from tkinter import *
from matplotlib import pyplot as plt
from PIL import Image
import random
import math
import numpy as np
import os
import colorsys
import cv2
from scipy.ndimage.filters import gaussian_filter
canvas_width = 600
canvas_height = 600
world_width = 0.05
world_heigth = 0.05
# 中间心的参数
points = None
fixed_point_size = 20000
fixed_scale_range = (4, 4.3)
min_scale = np.array([1.0, 1.0, 1.0]) * 0.9
max_scale = np.array([1.0, 1.0, 1.0]) * 0.9
min_heart_scale = -15
max_heart_scale = 16
# 外围随机心参数
random_point_szie = 7000
random_scale_range = (3.5, 3.9)
random_point_maxvar = 0.2
# 心算法参数
mid_point_ignore = 0.95
# 相机参数
camera_close_plane = 0.1
camera_position = np.array([0.0, -2.0, 0.0])
# 点的颜色
hue = 0.92
color_strength = 255
# 常用向量缓存
zero_scale = np.array([0.0, 0.0, 0.0])
unit_scale = np.array([1.0, 1.0, 1.0])
color_white = np.array([255, 255, 255])
axis_y = np.array([0.0, 1.0, 0.0])
# 渲染缓存
render_buffer = np.empty((canvas_width, canvas_height, 3), dtype=int)
strength_buffer = np.empty((canvas_width, canvas_height), dtype=float)
# 随机点文件缓存
points_file = "temp.txt"
# 渲染结果
total_frames = 30
output_dir = "./output"
# 格式
image_fmt = "jpg"
def color(value):
digit = list(map(str, range(10))) + list("ABCDEF")
string = '#'
for i in value:
a1 = i // 16
a2 = i % 16
string += digit[a1] + digit[a2]
return string
def heart_func(x, y, z, scale):
bscale = scale
bscale_half = bscale / 2
x = x * bscale - bscale_half
y = y * bscale - bscale_half
z = z * bscale - bscale_half
return (x**2 + 9/4*(y**2) + z**2 - 1)**3 - (x**2)*(z**3) - 9/200*(y**2)*(z**3)
def lerp_vector(a, b, ratio):
result = a.copy()
for i in range(3):
result[i] = a[i] + (b[i] - a[i]) * ratio
return result
def lerp_int(a, b, ratio):
return (int)(a + (b - a) * ratio)
def lerp_float(a, b, ratio):
return (a + (b - a) * ratio)
def distance(point):
return (point[0]**2 + point[1]**2 + point[2]**2) ** 0.5
def dot(a, b):
return a[0]*b[0] + a[1]*b[1] + a[2]*b[2]
def inside_rand(tense):
x = random.random()
y = -tense * math.log(x)
return y
# 生成中间心
def genPoints(pointCount, heartScales):
result = np.empty((pointCount, 3))
index = 0
while index < pointCount:
# 生成随机点
x = random.random()
y = random.random()
z = random.random()
# 扣掉心中间的点
mheartValue = heart_func(x, 0.5, z, heartScales[1])
mid_ignore = random.random()
if mheartValue < 0 and mid_ignore < mid_point_ignore:
continue
heartValue = heart_func(x, y, z, heartScales[0])
z_shrink = 0.01
sz = z - z_shrink
sheartValue = heart_func(x, y, sz, heartScales[1])
# 保留在心边上的点
if heartValue < 0 and sheartValue > 0:
result[index] = [x - 0.5, y - 0.5, z - 0.5]
len = 0.7
result[index] = result[index] * (1 - len * inside_rand(0.2))
newY = random.random() - 0.5
rheartValue = heart_func(result[index][0] + 0.5, newY + 0.5, result[index][2] + 0.5, heartScales[0])
if rheartValue > 0:
continue
result[index][1] = newY
dist = distance(result[index])
if dist < 0.12:
continue
index = index + 1
if index % 100 == 0:
print("{ind} generated {per}%".format(ind=index, per=((index / pointCount) * 100)))
return result
def genRandPoints(pointCount, heartScales, maxVar, ratio):
result = np.empty((pointCount, 3))
index = 0
while index < pointCount:
x = random.random()
y = random.random()
z = random.random()
mheartValue = heart_func(x, 0.5, z, heartScales[1])
mid_ignore = random.random()
if mheartValue < 0 and mid_ignore < mid_point_ignore:
continue
heartValue = heart_func(x, y, z, heartScales[0])
sheartValue = heart_func(x, y, z, heartScales[1])
if heartValue < 0 and sheartValue > 0:
result[index] = [x - 0.5, y - 0.5, z - 0.5]
dist = distance(result[index])
if dist < 0.12:
continue
len = 0.7
result[index] = result[index] * (1 - len * inside_rand(0.2))
index = index + 1
for i in range(pointCount):
var = maxVar * ratio
randScale = 1 + random.normalvariate(0, var)
result[i] = result[i] * randScale
return result
# 世界坐标到相机本地坐标
def world_2_cameraLocalSapce(world_point):
new_point = world_point.copy()
new_point[1] = new_point[1] + camera_position[1]
return new_point
# 相机本地坐标到相机空间坐标
def cameraLocal_2_cameraSpace(cameraLocalPoint):
depth = distance(cameraLocalPoint)
cx = cameraLocalPoint[0] * (camera_close_plane / cameraLocalPoint[1])
cz = -cameraLocalPoint[2] * (cx / cameraLocalPoint[0])
cameraLocalPoint[0] = cx
cameraLocalPoint[1] = cz
return cameraLocalPoint, depth
# 相机空间坐标到屏幕坐标
def camerSpace_2_screenSpace(cameraSpace):
x = cameraSpace[0]
y = cameraSpace[1]
# convert to view space
centerx = canvas_width / 2
centery = canvas_height / 2
ratiox = canvas_width / world_width
ratioy = canvas_height / world_heigth
viewx = centerx + x * ratiox
viewy = canvas_height - (centery + y * ratioy)
cameraSpace[0] = viewx
cameraSpace[1] = viewy
return cameraSpace.astype(int)
# 绘制世界坐标下的点
def draw_point(worldPoint):
cameraLocal = world_2_cameraLocalSapce(worldPoint)
cameraSpsace, depth = cameraLocal_2_cameraSpace(cameraLocal)
screeSpace = camerSpace_2_screenSpace(cameraSpsace)
draw_size = int(random.random() * 3 + 1)
draw_on_buffer(screeSpace, depth, draw_size)
# 绘制到缓存上
def draw_on_buffer(screenPos, depth, draw_size):
if draw_size == 0:
return
elif draw_size == 1:
draw_point_on_buffer(screenPos[0], screenPos[1], color_strength, depth)
elif draw_size == 2:
draw_point_on_buffer(screenPos[0], screenPos[1], color_strength, depth)
draw_point_on_buffer(screenPos[0] + 1, screenPos[1] + 1, color_strength, depth)
elif draw_size == 3:
draw_point_on_buffer(screenPos[0], screenPos[1], color_strength, depth)
draw_point_on_buffer(screenPos[0] + 1, screenPos[1] + 1, color_strength, depth)
draw_point_on_buffer(screenPos[0] + 1, screenPos[1], color_strength, depth)
elif draw_size == 4:
draw_point_on_buffer(screenPos[0], screenPos[1], color_strength, depth)
draw_point_on_buffer(screenPos[0] + 1, screenPos[1], color_strength, depth)
draw_point_on_buffer(screenPos[0], screenPos[1] + 1, color_strength, depth)
draw_point_on_buffer(screenPos[0] + 1, screenPos[1] + 1, color_strength, depth)
# 根据色调和颜色强度获取颜色
def get_color(strength):
result = None
if strength >= 1:
result = colorsys.hsv_to_rgb(hue, 2 - strength, 1)
else:
result = colorsys.hsv_to_rgb(hue, 1, strength)
r = min(result[0] * 256, 255)
g = min(result[1] * 256, 255)
b = min(result[2] * 256, 255)
return np.array((r, g, b), dtype=int)
# 可以根据深度做一些好玩的
def draw_point_on_buffer(x, y, color, depth):
if x < 0 or x >= canvas_width or y < 0 or y >= canvas_height:
return
# 混合
strength = float(color) / 255
strength_buffer[x, y] = strength_buffer[x, y] + strength
# 绘制缓存
def draw_buffer_on_canvas(output = None):
render_buffer.fill(0)
for i in range(render_buffer.shape[0]):
for j in range(render_buffer.shape[1]):
render_buffer[i, j] = get_color(strength_buffer[i, j])
im = Image.fromarray(np.uint8(render_buffer))
im = im.rotate(-90)
if output is None:
plt.imshow(im)
plt.show()
else:
im.save(output)
def paint_heart(ratio, randratio, outputFile = None):
global strength_buffer
global render_buffer
global points
# 清空缓存
strength_buffer.fill(0)
for i in range(fixed_point_size):
# 缩放
point = points[i] * lerp_vector(min_scale, max_scale, ratio)
# 球型场
dist = distance(point)
radius = 0.4
sphere_scale = radius / dist
point = point * lerp_float(0.9, sphere_scale, ratio * 0.3)
# 绘制
draw_point(point)
# 生成一组随机点
randPoints = genRandPoints(random_point_szie, random_scale_range, random_point_maxvar, randratio)
for i in range(random_point_szie):
# 绘制
draw_point(randPoints[i])
# 高斯模糊
for i in range(1):
strength_buffer = gaussian_filter(strength_buffer, sigma=0.8)
# 绘制缓存
draw_buffer_on_canvas(outputFile)
def show_images():
img = None
for i in range(total_frames):
save_name = "{name}.{fmt}".format(name=i, fmt=image_fmt)
save_path = os.path.join(output_dir, save_name)
img = cv2.imread(save_path, cv2.IMREAD_ANYCOLOR)
cv2.imshow("Img", img)
cv2.waitKey(25)
def gen_images():
global points
if not os.path.isdir(output_dir):
os.mkdir(output_dir)
# 尝试加载或生成中间心
if not os.path.exists(points_file):
print("未发现缓存点,重新生成中")
points = genPoints(fixed_point_size, fixed_scale_range)
np.savetxt(points_file, points)
else:
print("发现缓存文件,跳过生成")
points = np.loadtxt(points_file)
for i in range(total_frames):
print("正在处理图片... ", i)
frame_ratio = float(i) / (total_frames - 1)
frame_ratio = frame_ratio ** 2
ratio = math.sin(frame_ratio * math.pi) * 0.743144
randratio = math.sin(frame_ratio * math.pi * 2 + total_frames / 2)
save_name = "{name}.{fmt}".format(name=i, fmt=image_fmt)
save_path = os.path.join(output_dir, save_name)
paint_heart(ratio, randratio, save_path)
print("图片已保存至", save_path)
if __name__ == "__main__":
gen_images()
while True:
show_images()