While executing the main I got the following error, please help me out with this

[shivam9804]

File "main.py", line 80, in <module>
    mask=cv2.morphologyEx(mask,cv2.MORPH_CLOSE,kernalCl)
TypeError: Expected Ptr<cv::UMat> for argument '%s'

[balapatricia]

At the beginning of the code, where you wrote: kernalCl = np.ones((11,11),np.uint) write instead: kernalCl = np.ones((11,11),np.uint8)

[ussamajaved]

File "E:/Pathon/vision-master/main.py", line 85, in _,countours0,hierarchy=cv2.findContours(mask,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE) ValueError: not enough values to unpack (expected 3, got 2)

[rajivghanty]

in the main.py use this code

import cv2 import numpy as np import vehicles import time

cnt_up=0 cnt_down=0

cap=cv2.VideoCapture("surveillance.m4v")

Get width and height of video

w=cap.get(3) h=cap.get(4) frameArea=h*w areaTH=frameArea/400

Lines

line_up=int(2(h/5)) line_down=int(3(h/5))

up_limit=int(1(h/5)) down_limit=int(4(h/5))

print("Red line y:",str(line_down)) print("Blue line y:",str(line_up)) line_down_color=(255,0,0) line_up_color=(255,0,255) pt1 = [0, line_down] pt2 = [w, line_down] pts_L1 = np.array([pt1,pt2], np.int32) pts_L1 = pts_L1.reshape((-1,1,2)) pt3 = [0, line_up] pt4 = [w, line_up] pts_L2 = np.array([pt3,pt4], np.int32) pts_L2 = pts_L2.reshape((-1,1,2))

pt5 = [0, up_limit] pt6 = [w, up_limit] pts_L3 = np.array([pt5,pt6], np.int32) pts_L3 = pts_L3.reshape((-1,1,2)) pt7 = [0, down_limit] pt8 = [w, down_limit] pts_L4 = np.array([pt7,pt8], np.int32) pts_L4 = pts_L4.reshape((-1,1,2))

Background Subtractor

fgbg=cv2.createBackgroundSubtractorMOG2(detectShadows=True)

Kernals

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_SIMPLEX cars = [] max_p_age = 5 pid = 1

while(cap.isOpened()): ret,frame=cap.read() for i in cars: i.age_one() fgmask=fgbg.apply(frame) fgmask2=fgbg.apply(frame)

if ret==True:

    #Binarization
    ret,imBin=cv2.threshold(fgmask,200,255,cv2.THRESH_BINARY)
    ret,imBin2=cv2.threshold(fgmask2,200,255,cv2.THRESH_BINARY)
    #OPening i.e First Erode the dilate
    mask=cv2.morphologyEx(imBin,cv2.MORPH_OPEN,kernalOp)
    mask2=cv2.morphologyEx(imBin2,cv2.MORPH_CLOSE,kernalOp)

    #Closing i.e First Dilate then Erode
    mask=cv2.morphologyEx(mask,cv2.MORPH_CLOSE,kernalCl)
    mask2=cv2.morphologyEx(mask2,cv2.MORPH_CLOSE,kernalCl)

    #Find Contours
    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    for cnt in contours:
        area=cv2.contourArea(cnt)
        print(area)
        if area>areaTH:
            ####Tracking######
            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
                            print("ID:",i.getId(),'crossed going up at', time.strftime("%c"))
                        elif i.going_DOWN(line_down,line_up)==True:
                            cnt_down+=1
                            print("ID:", i.getId(), 'crossed going up at', time.strftime("%c"))
                        break
                    if i.getState()=='1':
                        if i.getDir()=='down'and i.getY()>down_limit:
                            i.setDone()
                        elif i.getDir()=='up'and i.getY()<up_limit:
                            i.setDone()
                    if i.timedOut():
                        index=cars.index(i)
                        cars.pop(index)
                        del i

                if new==True: #If nothing is detected,create new
                    p=vehicles.Car(pid,cx,cy,max_p_age)
                    cars.append(p)
                    pid+=1

            cv2.circle(frame,(cx,cy),5,(0,0,255),-1)
            img=cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)

    for i in cars:
        cv2.putText(frame, str(i.getId()), (i.getX(), i.getY()), font, 0.3, i.getRGB(), 1, cv2.LINE_AA)

    str_up='UP: '+str(cnt_up)
    str_down='DOWN: '+str(cnt_down)
    frame=cv2.polylines(frame,[pts_L1],False,line_down_color,thickness=2)
    frame=cv2.polylines(frame,[pts_L2],False,line_up_color,thickness=2)
    frame=cv2.polylines(frame,[pts_L3],False,(255,255,255),thickness=1)
    frame=cv2.polylines(frame,[pts_L4],False,(255,255,255),thickness=1)
    cv2.putText(frame, str_up, (10, 40), font, 0.5, (255, 255, 255), 2, cv2.LINE_AA)
    cv2.putText(frame, str_up, (10, 40), font, 0.5, (0, 0, 255), 1, cv2.LINE_AA)
    cv2.putText(frame, str_down, (10, 90), font, 0.5, (255, 255, 255), 2, cv2.LINE_AA)
    cv2.putText(frame, str_down, (10, 90), font, 0.5, (255, 0, 0), 1, cv2.LINE_AA)
    cv2.imshow('Frame',frame)

    if cv2.waitKey(1)&0xff==ord('q'):
        break

else:
    break

cap.release() cv2.destroyAllWindows()

[Leonisfine]

File "E:/Pathon/vision-master/main.py", line 85, in _,countours0,hierarchy=cv2.findContours(mask,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE) ValueError: not enough values to unpack (expected 3, got 2)

same problem

[balapatricia]

Just delete the '_' character like this: countours0,hierarchy=cv2.findContours(mask,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)

[AjBiswas]

It's not counting the UP going cars

[AjBiswas]

![Uploading 1586514006426776861261.jpg…]()

What to do??

[akxuan]

how can I map the detection result on video?

[amartya-k]

Just delete the '_' character like this: countours0,hierarchy=cv2.findContours(mask,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)

Thanks for helping out everyone. If you're free, you can check the other issues too. Happy coding!