Python+OpenCV混合高斯建模算法人体识别出入口人流量统计计数

程序示例精选
Python+OpenCV混合高斯建模算法人体识别出入口人流量统计计数
如需安装运行环境或远程调试,见文章底部个人QQ名片,由专业技术人员远程协助!

前言

这篇博客针对《Python+OpenCV混合高斯建模算法人体识别出入口人流量统计计数》编写代码,代码整洁,规则,易读。 学习与应用推荐首选。


运行结果


文章目录

一、所需工具软件
二、使用步骤
1. 主要代码
2. 运行结果
三、在线协助

一、所需工具软件

1. Python
2. Pycharm

二、使用步骤

代码如下(示例):
cpp 复制代码
import numpy as np
import math
import cv2
cap = cv2.VideoCapture('video02.mp4')
# fgbg = cv2.createBackgroundSubtractorMOG2(history=5, varThreshold=150)
def line1(x,y):
    return y - (29*x)/96.0 - 300
crossedAbove = 0
crossedBelow = 0
points = set()
pointFromAbove = set()
pointFromBelow = set()

fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('pedestrianOutput.avi',fourcc, 25.0, (1920,1080))
font = cv2.FONT_HERSHEY_SIMPLEX
while(1):
    pointInMiddle = set()
    prev = points
    points = set()
    ret, frame = cap.read()
    fgmask = cv2.blur(frame, (4,4))
    fgmask = fgbg.apply(fgmask)
    oldFgmask = fgmask.copy()
    oldFgmask,contours, hierarchy = cv2.findContours(fgmask, cv2.RETR_EXTERNAL,1)
    for contour in contours:
        x,y,w,h = cv2.boundingRect(contour)
            cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),6, lineType=cv2.LINE_AA)
            point = (int(x+w/2.0), int(y+h/2.0))
            points.add(point)
    for point in points:
        (xnew, ynew) = point
        if line1(xnew, ynew) > 0 and line2(xnew, ynew) < 0:
            pointInMiddle.add(point)
        for prevPoint in prev:
            (xold, yold) = prevPoint
            dist = cv2.sqrt((xnew-xold)*(xnew-xold)+(ynew-yold)*(ynew-yold))
                        pointFromAbove.add(point)
                    elif line2(xold, yold) > 0: # Point entered from line below
                        pointFromBelow.add(point)
                    else:   # Point was inside the block
                        if prevPoint in pointFromBelow:
                            pointFromBelow.remove(prevPoint)
                            pointFromBelow.add(point)

                        elif prevPoint in pointFromAbove:
                            pointFromAbove.remove(prevPoint)
                            pointFromAbove.add(point)

                if line1(xnew, ynew) < 0 and prevPoint in pointFromBelow: # Point is above the line
                    print('One Crossed Above')
                    print(point)
                    crossedAbove += 1
                    pointFromBelow.remove(prevPoint)

                if line2(xnew, ynew) > 0 and prevPoint in pointFromAbove: # Point is below the line
                    print('One Crossed Below')
                    print(point)
                    crossedBelow += 1

    for point in points:
        if point in pointFromBelow:
            cv2.circle(frame, point, 3, (255,0,255),6)
        elif point in pointFromAbove:
            cv2.circle(frame, point, 3, (0,0,255),6)
    cv2.line(frame, (0,300), (1920,880), (255, 0, 0), 4)
    cv2.line(frame, (0,500), (1920,1080), (255, 0, 0), 4)
    cv2.putText(frame,'People Going Above = '+str(crossedAbove),(800,50), font, 2,(255,255,255),5,cv2.LINE_AA)
    cv2.putText(frame,'People Going Below = '+str(crossedBelow),(800,100), font, 2,(255,255,255),5,cv2.LINE_AA)
    cv2.putText(frame,'People Going Total  = '+str(crossedBelow+crossedAbove),(800,150), font, 2,(255,255,255),5,cv2.LINE_AA)
    
    cv2.namedWindow("frame", 0);
    cv2.resizeWindow("frame", 540, 380);
    cv2.moveWindow("frame",100,100)
    #cv2.imshow('oldFgmask',oldFgmask)
    cv2.imshow('frame',frame)
    out.write(frame)
    l = cv2.waitKey(1) & 0xff
    if l == 27:
        break
cap.release()
cv2.destroyAllWindows()
运行结果

三、在线协助:

如需安装运行环境或远程调试,见文章底部个人 QQ 名片,由专业技术人员远程协助!

1)远程安装运行环境,代码调试
2)Visual Studio, Qt, C++, Python编程语言入门指导
3)界面美化
4)软件制作
5)云服务器申请
6)网站制作

当前文章连接: https://blog.csdn.net/alicema1111/article/details/132666851
个人博客主页https://blog.csdn.net/alicema1111?type=blog
博主所有文章点这里: https://blog.csdn.net/alicema1111?type=blog

博主推荐:
Python人脸识别考勤打卡系统:
https://blog.csdn.net/alicema1111/article/details/133434445
Python果树水果识别https://blog.csdn.net/alicema1111/article/details/130862842
Python+Yolov8+Deepsort入口人流量统计: https://blog.csdn.net/alicema1111/article/details/130454430
Python+Qt人脸识别门禁管理系统: https://blog.csdn.net/alicema1111/article/details/130353433
Python+Qt指纹录入识别考勤系统: https://blog.csdn.net/alicema1111/article/details/129338432
Python Yolov5火焰烟雾识别源码分享: https://blog.csdn.net/alicema1111/article/details/128420453
Python+Yolov8路面桥梁墙体裂缝识别: https://blog.csdn.net/alicema1111/article/details/133434445

相关推荐
Raink老师4 小时前
【AI面试临阵磨枪-79】实时数据 RAG:订单、商家、物流、天气、动态库存
人工智能·面试·职场和发展
脑极体4 小时前
点亮星河AI+鸿蒙,一座艺术场馆的日神觉醒
人工智能·华为·harmonyos
Cosolar4 小时前
Chroma向量库面试学习指南
数据库·人工智能·面试·职场和发展·数据库架构
BUG指挥官4 小时前
Claude Code的自动化编程
人工智能
意图共鸣4 小时前
意图共鸣科技《认知智能白皮书》——感知与执行分离:认知架构(CA)如何重塑大模型底层结构
人工智能·架构
等一个人的@4 小时前
让数据自己开口:数睿通智库新增智能问数模块
人工智能·自然语言处理
ZGi.ai4 小时前
人工审查节点:让自动化工作流多一步人工把关
运维·人工智能·自动化·人机协同·智能体工作流·人工审查
方也_arkling5 小时前
【Java-Day08】static / final / 枚举
java·开发语言
风吹夏回5 小时前
Python 全局异常处理:从“满屏 try-except”到优雅兜底
开发语言·python
Chengbei115 小时前
一站式源码安全检测工具、云安全 / APP / 小程序源码敏感信息递归多层目录扫描AK、JWT、手机号、身份证等敏感信息
java·开发语言·安全·web安全·网络安全·系统安全·安全架构