290 lines
11 KiB
Python
290 lines
11 KiB
Python
import tkinter as tk
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from tkinter import messagebox
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import random
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import heapq
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import os
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import cv2
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import numpy as np
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# 停车场布局数据
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left_side = list(range(119, 132))
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right_side = list(range(99, 87, -1))
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# 将右侧车位编号转换为三位数格式（例如：099, 098, ...）
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right_side = [str(number).zfill(3) for number in right_side]
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entry_left = [117, 115, 113]
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entry_right = [108, 106, 104, 102, 101, 100]
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p_row1 = [118, 116, 114, 112, 111, 110, None, 109, 107, 105, 103]
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middle_bottom_row1 = [292, 290, 288, 286, 284, 282, 280, 278, 276, 274, 272]
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middle_top_row2 = [293, 291, 289, 287, 285, 283, 281, 279, 277, 275, 273, 271]
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middle_bottom_row2 = list(range(259, 271))
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middle_top_row3 = [None] * 10 + [00] + [None]
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middle_bottom_row3 = [258, 257, 256, None, None, None, None, None, None, 255, 254, None]
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# 样式参数
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car_space_width = 50
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car_space_height = 80
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road_width = 40
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canvas_width = 1200
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canvas_height = 900
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middle_area_offset_y = 100 # 中间区域整体下移
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# 车位状态对应颜色
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status_color = {
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'free': 'lightgreen',
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'occupied': 'tomato',
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}
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default_color = 'white'
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selected_color = 'cyan' # 搜索高亮颜色
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# 设置 YOLO 检测结果路径
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detection_folder = r"D:\car2\parking_folders"
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# A*算法的启发式函数
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def heuristic(a, b):
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return abs(a[0] - b[0]) + abs(a[1] - b[1]) # 曼哈顿距离
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class ParkingLot(tk.Tk):
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def __init__(self):
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super().__init__()
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self.title("停车场平面图 🚗")
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self.geometry(f"{canvas_width}x{canvas_height}")
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self.canvas = tk.Canvas(self, width=canvas_width, height=canvas_height, bg='#CCCCCC')
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self.canvas.pack()
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# 搜索部分
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self.search_entry = tk.Entry(self)
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self.search_entry.pack(pady=5)
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self.search_button = tk.Button(self, text="搜索车位", command=self.search_spot)
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self.search_button.pack(pady=5)
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self.spots = {} # 存储车位信息
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self.path = [] # 存储路径
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self.obstacles = [] # 存储障碍物坐标
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self.draw_parking_lot()
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def draw_parking_lot(self):
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# 入口灰色路
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self.canvas.create_rectangle(400, 0, 800, road_width, fill='gray')
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self.canvas.create_text(750, 20, text="入口", fill="red", font=('Arial', 16))
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# 入口两边车位
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for idx, number in enumerate(entry_left):
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x = 400 - (idx + 1) * (car_space_width + 5)
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y = 0
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self.draw_parking_spot(x, y, number, direction='down')
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for idx, number in enumerate(entry_right):
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x = 800 + idx * (car_space_width + 5)
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y = 0
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self.draw_parking_spot(x, y, number, direction='down')
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# 左右两列
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for idx, number in enumerate(left_side):
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x = 0
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y = road_width + idx * (car_space_height + 5)
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self.draw_parking_spot(x, y, number, direction='right')
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for idx, number in enumerate(right_side):
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x = canvas_width - 50
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y = road_width + idx * (car_space_height + 5)
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self.draw_parking_spot(x, y, number, direction='left')
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# 中间区域
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start_y = road_width + 20 + middle_area_offset_y
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self.draw_middle_row(start_y, p_row1, up=True)
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self.draw_middle_row(start_y + car_space_height + 5, middle_bottom_row1, up=False)
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start_y += (car_space_height + 5) * 2 + road_width
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self.draw_middle_row(start_y, middle_top_row2, up=True)
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self.draw_middle_row(start_y + car_space_height + 5, middle_bottom_row2, up=False)
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start_y += (car_space_height + 5) * 2 + road_width
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self.draw_middle_row(start_y, middle_top_row3, up=True)
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self.draw_middle_row(start_y + car_space_height + 5, middle_bottom_row3, up=False)
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def draw_middle_row(self, start_y, row_data, up=True):
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total_spots = len(row_data)
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row_width = total_spots * (car_space_width + 5) - 5
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start_x = (canvas_width - row_width) / 2
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current_x = start_x
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for number in row_data:
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rect = self.canvas.create_rectangle(
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current_x, start_y,
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current_x + car_space_width,
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start_y + car_space_height,
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fill=default_color,
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outline='black'
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)
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if number is not None:
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# 初始随机给状态
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status = random.choice(['free', 'occupied'])
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self.spots[rect] = {'number': number, 'status': status}
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self.draw_arrow(current_x, start_y, 'up' if up else 'down')
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self.canvas.create_text(current_x + car_space_width / 2, start_y + car_space_height / 2,
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text=str(number), font=('Arial', 8))
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self.canvas.tag_bind(rect, '<Button-1>', self.toggle_spot)
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# 按状态上色
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fill_color = status_color.get(status, default_color)
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self.canvas.itemconfig(rect, fill=fill_color)
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# 添加障碍物坐标
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self.obstacles.append((current_x, start_y))
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current_x += car_space_width + 5
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def draw_arrow(self, x, y, direction):
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if direction == 'up':
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points = [x + car_space_width / 2, y + 10, x + 10, y + 30, x + car_space_width - 10, y + 30]
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elif direction == 'down':
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points = [x + car_space_width / 2, y + car_space_height - 10, x + 10, y + car_space_height - 30,
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x + car_space_width - 10, y + car_space_height - 30]
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elif direction == 'left':
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points = [x + 10, y + car_space_height / 2, x + 30, y + 10, x + 30, y + car_space_height - 10]
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else:
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points = [x + car_space_width - 10, y + car_space_height / 2, x + car_space_width - 30, y + 10,
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x + car_space_width - 30, y + car_space_height - 10]
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self.canvas.create_polygon(points, fill='black')
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def draw_parking_spot(self, x, y, number, direction='up'):
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rect = self.canvas.create_rectangle(x, y, x + car_space_width, y + car_space_height, fill=default_color,
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outline='black')
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# 获取车位编号对应的YOLO检测结果图像路径
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detection_image_path = os.path.join(detection_folder, f"{number}.jpg") # 假设图像以车位编号命名
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# 检查文件是否存在
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if os.path.exists(detection_image_path):
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# 读取 YOLO 检测结果图像（假设是红绿图像，红色表示有车，绿色表示空位）
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detection_image = cv2.imread(detection_image_path)
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# 检查图片是否为空
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if detection_image is not None:
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# 假设检测图像中左上角是车位的检测状态，我们可以检查该区域的颜色
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# 获取车位区域的颜色
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region_color = detection_image[10, 10] # 假设检测图像左上角有车位状态信息
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# 判断颜色，红色表示有车，绿色表示空位
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if np.array_equal(region_color, [0, 0, 255]): # 红色
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status = 'occupied'
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elif np.array_equal(region_color, [0, 255, 0]): # 绿色
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status = 'free'
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else:
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status = 'free' # 默认状态为免费
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else:
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status = 'free' # 默认状态为免费，如果读取失败
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else:
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status = 'free' # 默认状态为免费，如果没有检测结果
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self.spots[rect] = {'number': number, 'status': status}
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# 绘制箭头
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self.draw_arrow(x, y, direction)
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# 绘制车位编号
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self.canvas.create_text(x + car_space_width / 2, y + car_space_height / 2, text=str(number), font=('Arial', 8))
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# 绑定点击事件
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self.canvas.tag_bind(rect, '<Button-1>', self.toggle_spot)
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# 按状态设置颜色
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fill_color = status_color.get(status, default_color)
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self.canvas.itemconfig(rect, fill=fill_color)
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def toggle_spot(self, event):
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clicked = event.widget.find_withtag('current')[0]
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spot = self.spots.get(clicked)
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if spot:
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messagebox.showinfo("车位信息", f"车位编号: {spot['number']}\n状态: {spot['status']}")
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def search_spot(self):
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query = self.search_entry.get()
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found = False
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for rect, spot in self.spots.items():
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if str(spot['number']) == query:
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self.canvas.itemconfig(rect, fill=selected_color)
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self.find_path(rect)
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found = True
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else:
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# 恢复成状态颜色
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self.canvas.itemconfig(rect, fill=status_color.get(spot['status'], default_color))
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if not found:
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messagebox.showwarning("提示", "未找到该车位编号！")
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def find_path(self, target_rect):
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target_coords = self.canvas.coords(target_rect)
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start_coords = (canvas_width // 2, 0) # 入口位置
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# A*路径规划的实现，避免车位区域
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path = self.a_star(start_coords, target_coords)
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# 绘制路径
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for i in range(len(path) - 1):
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self.canvas.create_line(path[i][0], path[i][1], path[i + 1][0], path[i + 1][1], fill="blue", width=4,
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arrow=tk.LAST)
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def a_star(self, start, end):
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open_list = []
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closed_list = set()
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came_from = {}
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start_node = (start[0], start[1])
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end_node = (end[0], end[1])
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# 计算G、H、F值
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def g_cost(node):
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return abs(node[0] - start[0]) + abs(node[1] - start[1])
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def h_cost(node):
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return heuristic(node, end_node)
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def f_cost(node):
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return g_cost(node) + h_cost(node)
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heapq.heappush(open_list, (f_cost(start_node), start_node))
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came_from[start_node] = None
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while open_list:
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current_f, current_node = heapq.heappop(open_list)
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if current_node == end_node:
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path = []
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while current_node:
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path.append(current_node)
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current_node = came_from[current_node]
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return path[::-1]
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closed_list.add(current_node)
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for direction in [(0, -car_space_height - 5), (0, car_space_height + 5), (-car_space_width - 5, 0),
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(car_space_width + 5, 0)]:
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neighbor = (current_node[0] + direction[0], current_node[1] + direction[1])
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# Check if the neighbor is within bounds and not an obstacle
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if 0 <= neighbor[0] < canvas_width and 0 <= neighbor[1] < canvas_height:
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if self.is_obstacle(neighbor) or neighbor in closed_list:
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continue
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heapq.heappush(open_list, (f_cost(neighbor), neighbor))
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came_from[neighbor] = current_node
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return [] # No path found
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def is_obstacle(self, coords):
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# 判断当前位置是否为车位（障碍物）
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for (x, y) in self.obstacles:
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if x <= coords[0] <= x + car_space_width and y <= coords[1] <= y + car_space_height:
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return True
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return False
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if __name__ == "__main__":
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app = ParkingLot()
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app.mainloop()
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