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import tkinter as tk
from tkinter import filedialog, messagebox
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import numpy as np
from scipy.interpolate import make_interp_spline, BSpline
from PIL import Image
import io
def generate_and_display_shape():
try:
min_vertices = int(min_entry.get())
max_vertices = int(max_entry.get())
line_width = float(line_width_entry.get())
scatter = float(scatter_entry.get())
if min_vertices < 3 or max_vertices < 3 or min_vertices > max_vertices:
messagebox.showerror("无效输入", "最小和最大顶点数必须至少为3并且最小值不应超过最大值。")
return
# 清除之前的图形
ax.clear()
# 生成随机顶点数量
num_vertices = np.random.randint(min_vertices, max_vertices + 1)
# 生成随机角度
angles = np.sort(np.random.rand(num_vertices) * 2 * np.pi)
# 添加散布
angles += np.random.normal(0, scatter, num_vertices)
angles = np.sort(angles % (2 * np.pi))
# 计算每个顶点的坐标
x = np.cos(angles)
y = np.sin(angles)
# 将第一个顶点添加到最后以闭合图形
x = np.append(x, x[0])
y = np.append(y, y[0])
# 使用B样条插值平滑曲线
t = np.linspace(0, 1, num_vertices + 1)
t_smooth = np.linspace(0, 1, 300)
spl_x = make_interp_spline(t, x, k=3)
spl_y = make_interp_spline(t, y, k=3)
x_smooth = spl_x(t_smooth)
y_smooth = spl_y(t_smooth)
# 创建图形
global current_line
if current_line:
current_line.remove()
current_line, = ax.plot(x_smooth, y_smooth, linestyle='-', color='gray', linewidth=line_width) # 显示轨迹
ax.axis('equal') # 确保比例相等
ax.axis('off') # 隐藏坐标轴
canvas.draw()
except ValueError:
messagebox.showerror("无效输入", "请输入有效的整数作为最小和最大顶点数,以及浮点数作为线的粗细和散布。")
def adjust_line_width():
try:
line_width = float(line_width_entry.get())
if current_line:
current_line.set_linewidth(line_width)
canvas.draw()
except ValueError:
messagebox.showerror("无效输入", "请输入有效的浮点数作为线的粗细。")
def save_shape():
# 获取当前图形
buf = io.BytesIO()
plt.savefig(buf, format='png', transparent=True)
buf.seek(0)
image = Image.open(buf).convert("RGBA")
# 保存图像
file_path = filedialog.asksaveasfilename(defaultextension=".png", filetypes=[("PNG 文件", "*.png"), ("所有文件", "*.*")])
if file_path:
image.save(file_path)
messagebox.showinfo("保存成功", f"图像已保存到 {file_path}")
# 创建主窗口
root = tk.Tk()
root.title("随机封闭形状生成器-醉流ab")
root.geometry("800x700")
# 创建Matplotlib图形
fig, ax = plt.subplots(figsize=(5, 5), dpi=100)
canvas = FigureCanvasTkAgg(fig, master=root)
canvas_widget = canvas.get_tk_widget()
canvas_widget.pack(side=tk.TOP, fill=tk.BOTH, expand=True)
# 创建输入框和按钮的框架
input_frame = tk.Frame(root)
input_frame.pack(side=tk.TOP, padx=20, pady=20)
# 线的粗细输入框和标签
line_width_label = tk.Label(input_frame, text="线的粗细:")
line_width_label.grid(row=0, column=0, padx=5, pady=5)
line_width_entry = tk.Entry(input_frame)
line_width_entry.insert(0, "1.0")
line_width_entry.grid(row=0, column=1, padx=5, pady=5)
# 散布输入框和标签
scatter_label = tk.Label(input_frame, text="散布:")
scatter_label.grid(row=0, column=2, padx=5, pady=5)
scatter_entry = tk.Entry(input_frame)
scatter_entry.insert(0, "0.1")
scatter_entry.grid(row=0, column=3, padx=5, pady=5)
# 调整按钮
adjust_button = tk.Button(input_frame, text="调整", command=adjust_line_width, width=10, height=2)
adjust_button.grid(row=0, column=4, padx=5, pady=5)
# 最小顶点数输入框和标签
min_label = tk.Label(input_frame, text="最小顶点数 (>3):")
min_label.grid(row=1, column=0, padx=5, pady=5)
min_entry = tk.Entry(input_frame)
min_entry.insert(0, "10")
min_entry.grid(row=1, column=1, padx=5, pady=5)
# 最大顶点数输入框和标签
max_label = tk.Label(input_frame, text="最大顶点数:")
max_label.grid(row=1, column=2, padx=5, pady=5)
max_entry = tk.Entry(input_frame)
max_entry.insert(0, "15")
max_entry.grid(row=1, column=3, padx=5, pady=5)
# 刷新按钮
refresh_button = tk.Button(input_frame, text="刷新", command=generate_and_display_shape, width=10, height=2)
refresh_button.grid(row=1, column=4, padx=5, pady=5)
# 保存按钮
save_button = tk.Button(input_frame, text="保存", command=save_shape, width=10, height=2)
save_button.grid(row=1, column=5, padx=5, pady=5)
# 初始化图形
current_line = None
generate_and_display_shape()
# 运行主循环
root.mainloop()