yolov8 区域报警+计数
- 1. 基础
- 2. 报警功能
- 2. 1声音报警代码
- 2. 2画面显示报警代码
- 3. 完整代码
- 4. 源码
1. 基础
本项目是在 yolov8 区域多类别计数 的基础上实现的,具体区域计数原理可见上边文章
2. 报警功能
设置一个区域region_points,当行人这一类别进入该区域范围内,会触发报警系统,产生警报
2. 1声音报警代码
pygame.mixer.init() # 初始化
pygame.mixer.music.load('out.wav') # 加载报警音源
pygame.mixer.music.set_volume(1) # 设置声音
pygame.mixer.music.play() # 播放音乐
2. 2画面显示报警代码
text = "ALARM"
cv2.putText(annotated_frame, text, (600, 300), cv2.FONT_ITALIC, 2.0,(0, 0, 255), 3)
3. 完整代码
import cv2
import numpy as np
from ultralytics import YOLO
import pygame
def is_inside_region(point, region_points):
"""
判断点是否在指定区域内
"""
return cv2.pointPolygonTest(np.array(region_points), point, False) >= 0
def detect():
model = YOLO("yolov8n.pt")
cv2.namedWindow('region couter', cv2.WINDOW_NORMAL)
cv2.resizeWindow('region couter', 960, 540) # 设置宽高
cap = cv2.VideoCapture('ultralytics/assets/people.mp4')
out_video = cv2.VideoWriter('output.avi', cv2.VideoWriter_fourcc(*'XVID'), 30, (1920, 1080))
region_points = [(640, 270), (640, 540), (1280, 540), (1280, 270)]
region_points_np = np.array(region_points)
assert cap.isOpened(), "Error reading video file"
while cap.isOpened():
success, im0 = cap.read()
if not success:
print("Video frame is empty or video processing has been successfully completed.")
break
tracks = model.track(im0, persist=True)
annotated_frame = tracks[0].plot()
boxes = tracks[0].boxes.data
count_class1 = 0
count_class2 = 0
for i, box in enumerate(boxes):
x1, y1, x2, y2 = box[:4]
x_center = (x1 + x2) / 2
y_center = (y1 + y2) / 2
center_point = (int(x_center), int(y_center))
if is_inside_region(center_point, region_points):
if box[-1] == 0: # 类别1的标签.人
count_class1 += 1
pygame.mixer.init()
pygame.mixer.music.load('out.wav')
pygame.mixer.music.set_volume(1)
pygame.mixer.music.play()
text = "ALARM"
cv2.putText(annotated_frame, text, (960, 400), cv2.FONT_ITALIC, 2.0,(0, 255, 255), 3)
elif box[-1] == 2: # 类别2的标签,车
count_class2 += 1
# cv2.polylines(annotated_frame, [region_points_np], isClosed=True, color=(255, 0, 0), thickness=2)
region_mask = np.zeros_like(annotated_frame)
cv2.fillPoly(region_mask, [region_points_np], color=(255, 0, 0))
# 使用透明度将填充后的区域与原始帧混合
alpha = 0.3 # 调整透明度
annotated_frame = cv2.addWeighted(annotated_frame, 1 - alpha, region_mask, alpha, 0)
print("Number of objects in class 1:", count_class1)
print("Number of objects in class 2:", count_class2)
cv2.imshow("region couter", annotated_frame)
out_video.write(annotated_frame)
if cv2.waitKey(1) == ord('q'):
break
out_video.release()
cap.release()
cv2.destroyAllWindows()
if __name__ == '__main__':
detect()
4. 源码
下载链接:https://download.csdn.net/download/qq_45077760/89212535
有问题可以在评论区交流