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