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Python OpenCV高速公路道路汽车车辆摄像头视频侦测检测识别统计数量
阅读量:352 次
发布时间:2019-03-04

本文共 2955 字,大约阅读时间需要 9 分钟。

Python OpenCV高速公路道路汽车车辆侦测检测识别统计数量

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运行结果如下:

运行主要代码如下:

import cv2import numpy as npimport timecap=cv2.VideoCapture("video.mp4")fgbg=cv2.createBack(detectShadows=False,history=200,varThreshold = 90)kernalOp = np.ones((3,3),np.uint8)kernalOp2 = np.ones((5,5),np.uint8)kernalCl = np.ones((11,11),np.uint8)font = cv2.FONT_HERSHEY_SIMPLEXcars = []max_p_age = 5pid = 1cnt_up=0cnt_down=0print("Car counting and classification")line_up=400line_down=250up_limit=230down_limit=int(4.5*(500/5))while(cap.isOpened()):    ret,frame=cap.read()    frame=cv2.resize(frame,(900,500))    for i in cars:        i.age_one()    fgmask=fgbg.apply(frame)        mask,countours0,hierarchy=cv2.findContours(mask,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)        for cnt in countours0:            area=cv2.contourArea(cnt)            print(area)            if area>300:                m=cv2.moments(cnt)                cx=int(m['m10']/m['m00'])                cy=int(m['m01']/m['m00'])                x,y,w,h=cv2.boundingRect(cnt)                new=True                if cy in range(up_limit,down_limit):                    for i in cars:                        if abs(x - i.getX()) <= w and abs(y - i.getY()) <= h:                            new = False                            i.updateCoords(cx, cy)                            if i.going_UP(line_down,line_up)==True:                                cnt_up+=1                            elif i.going_DOWN(line_down,line_up)==True:                                cnt_down+=1                            break                    if new==True:                        p=vehicles.Car(pid,cx,cy,max_p_age)                        cars.append(p)                        pid+1                cv2.circle(frame, (cx, cy), 2, (0, 0, 255), -1)        for i in cars:            cv2.putText(frame, str(i.getId()), (i.getX(), i.getY()), font, 0.3, (255,255,0), 1, cv2.LINE_AA)            if line_down+20<= i.getY() <= line_up-20:               a = (h + (.74*w)- 100)               if a >= 0:                     cv2.putText(frame, "Truck", (i.getX(), i.getY()), font, 1, (0,0,255), 2, cv2.LINE_AA)               else:                     cv2.putText(frame, "car", (i.getX(), i.getY()), font, 1, (0,0,255), 2, cv2.LINE_AA)        str_up='UP: '+str(cnt_up)        str_down='DOWN: '+str(cnt_down)        frame=cv2.line(frame,(0,line_up),(900,line_up),(0,0,255),3,8)        frame=cv2.line(frame,(0,up_limit),(900,up_limit),(0,0,0),1,8)        frame=cv2.line(frame,(0,down_limit),(900,down_limit),(255,255,0),1,8)        frame = cv2.line(frame, (0, line_down), (900, line_down), (255, 0,0), 3, 8)        cv2.imshow('Frame',frame)        if cv2.waitKey(1)&0xff==ord('q'):            break    else:        breakcap.release()cv2.destroyAllWindows()

运行结果如下:

C++学习参考实例

C++实现图形界面五子棋游戏源码:

C++实现图形界面五子棋游戏源码2:

C++ OpenCV相片视频人脸识别统计人数:

VS2017+PCL开发环境配置:

VS2017+Qt+PCL点云开发环境配置:

C++ OpenCV汽车检测障碍物与测距:

Windows VS2017安装配置PCL点云库:

 

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