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()