基于 Python OpenCV 的停车场车位检测与空余计数系统

项目简介

这是一个经典的计算机视觉项目，适合初学者入门和毕业设计。

1. 安装依赖库

pip install opencv-python numpy

如果你使用的是 Anaconda 或已预装环境，可跳过此步。

2. 主程序代码 main.py

import cv2
import numpy as np
import time

# ==================== 配置区 ====================
# 1. 视频源路径（可以是摄像头、视频文件或图片）
VIDEO_SOURCE = 0  # 0 表示默认摄像头；也可填 "video.mp4" 或 "image.jpg"

# 2. 停车位坐标列表 [x1, y1, x2, y2] —— 需要根据你的实际画面手动标定！
PARKING_SPACES = [
    [7689, 0, 8489, 150],  # 车位 1
    [8489, 0, 9289, 150],  # 车位 2
    [9289, 0, 10089, 150], # 车位 3
    [10089, 0, 10889, 150],# 车位 4
    [10889, 0, 11689, 150],# 车位 5
    [11689, 0, 12489, 150],# 车位 6
    [7554, 150, 8354, 300],# 车位 7
    [8354, 150, 9154, 300],
    [, , , ],
    [, , , ],
    [, , , ],
    [, , , ]
]


SPACE_LABELS = [, , , , , , , , , , , ]


COLOR_OCCUPIED = (, , )  
COLOR_FREE = (, , )      
COLOR_TEXT = (, , )  
FONT = cv2.FONT_HERSHEY_SIMPLEX
FONT_SCALE = 
THICKNESS = 


 ():
    
    x1, y1, x2, y2 = space_coords
    roi = frame[y1:y2, x1:x2]  
     roi.size == :
           
    
    
    gray_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY)
    avg_brightness = np.mean(gray_roi)
    
    
    
    THRESHOLD_BRIGHTNESS = 
    is_occupied = avg_brightness < THRESHOLD_BRIGHTNESS
     is_occupied

 ():
    
    free_count = 
     i, (space, label, status)  ((spaces, labels, statuses)):
        x1, y1, x2, y2 = space
        color = COLOR_OCCUPIED  status  COLOR_FREE
          status:
            free_count += 
        
        
        cv2.rectangle(frame, (x1, y1), (x2, y2), color, THICKNESS)
        
        cv2.putText(frame, label, (x1, y1 - ), FONT, FONT_SCALE, COLOR_TEXT, THICKNESS)
    
    
    cv2.putText(frame, , (, ), FONT, , (, , ), )
     frame, free_count


 ():
    ()
    ()
    
    
    cap = cv2.VideoCapture(VIDEO_SOURCE)
      cap.isOpened():
        ()
        
    
    
    cv2.namedWindow(, cv2.WINDOW_NORMAL)
    
     :
        ret, frame = cap.read()
          ret:
              
        
        
        statuses = []
         space  PARKING_SPACES:
            status = get_parking_status(frame, space)
            statuses.append(status)
        
        
        result_frame, free_count = draw_parking_info(frame.copy(), PARKING_SPACES, SPACE_LABELS, statuses)
        
        
        cv2.imshow(, result_frame)
        
        
         cv2.waitKey() &  == ():
            
    
    
    cap.release()
    cv2.destroyAllWindows()
    ()

 __name__ == :
    main()