counter.py

##People counter
import numpy as np
import cv2
import Person
import time
import requests
import imutils

url = "http://10.10.7.148:8080/video"

cnt_up   = 0
cnt_down = 0
count_up = 0
count_down = 0
state =0
back=None
#Taking the video input
#cap = cv2.VideoCapture(0)
cap = cv2.VideoCapture('test_singleperson.mp4')
fourcc = cv2.VideoWriter_fourcc(*'H264')
out = cv2.VideoWriter('output.mp4',fourcc, 5, (640,480))



cap.set(3,500) #Width
cap.set(4,500) #Height

#Print the capture properties to console
# for i in range(19):
#     print(i, cap.get(i))

w = cap.get(3)
h = cap.get(4)
frameArea = h*w
areaTH = frameArea/300
print(('Area Threshold'), areaTH)

#Lines coordinate for counting
line_up = int(1*(h/6))
line_down   = int(4*(h/6))

up_limit =   int(.5*(h/6))
down_limit = int(4.5*(h/6))

#print "Red line y:",str(line_down)
#print "Blue line y:", str(line_up)
line_down_color = (255,0,0)
line_up_color = (0,0,255)
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 Substractor
fgbg = cv2.createBackgroundSubtractorMOG2(detectShadows = True)

#Structuring elements for morphographic filters
kernelOp = np.ones((3,3),np.uint8)
kernelOp2 = np.ones((5,5),np.uint8)
kernelCl = np.ones((11,11),np.uint8)

#Variables
font = cv2.FONT_HERSHEY_SIMPLEX
persons = []
rect_co = []
max_p_age = 1
pid = 1
val = []

while(cap.isOpened()):
##for image in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
    
    ret, frame = cap.read()
    frame=frame[:,20:]
##    frame = image.array

    # for i in persons:
    #     print i.age_one() #age every person one frame

    
    
    #Apply background subtraction
    fgmask = fgbg.apply(frame)
    fgmask2 = fgbg.apply(frame)

    #Binarization to eliminate shadows
    try:
        ret,imBin= cv2.threshold(fgmask,200,255,cv2.THRESH_BINARY)
        ret,imBin2 = cv2.threshold(fgmask2,200,255,cv2.THRESH_BINARY)
        #Opening (erode->dilate) to remove noise.
        mask = cv2.morphologyEx(imBin, cv2.MORPH_OPEN, kernelOp)
        mask2 = cv2.morphologyEx(imBin2, cv2.MORPH_OPEN, kernelOp)
        #Closing (dilate -> erode) to join white regions.
        mask =  cv2.morphologyEx(mask , cv2.MORPH_CLOSE, kernelCl)
        mask2 = cv2.morphologyEx(mask2, cv2.MORPH_CLOSE, kernelCl)
        if back is None:
            back=mask
            continue
        mask=cv2.absdiff(back,mask)
    except:
        print('EOF')
        print(('UP:'),cnt_up)
        print (('DOWN:'),cnt_down)
        break
    #################
    #   CONTOURS   #
    #################
    
    # RETR_EXTERNAL returns only extreme outer flags. All child contours are left behind.
    contours0, hierarchy = cv2.findContours(mask2,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
    for cnt in contours0:
        rect = cv2.boundingRect(cnt)
        
        area = cv2.contourArea(cnt)
        if area > areaTH:
            #################
            #   TRACKING    #
            #################
            
            #Missing conditions for multipersons, outputs and screen entries
            M = cv2.moments(cnt)
            cx = int(M['m10']/M['m00'])
            cy = int(M['m01']/M['m00'])
            x,y,w,h = cv2.boundingRect(cnt)
            # print ('working')
            

            new = True
            if cy in range(up_limit,down_limit):
                for i in persons:
                    if abs(cx-i.getX()) <= w and abs(cy-i.getY()) <= h:
                        # the object is close to one that has already been detected before
                        # print 'update'
                        new = False
                        i.updateCoords(cx,cy)   #update coordinates in the object and resets age
                        if i.going_UP(line_down,line_up) == True and i.getDir() == 'up':
                            # if w > 100:
                            #     count_up = w/60
                            #     #cnt_up += count_up
                              
                            # else:    
                            #     cnt_up += 1
                            cnt_up += 1
                            #i.updateCoords(cx,cy)
                            print ("ID:",i.getId(),'crossed going up at',time.strftime("%c"))
                        elif i.going_DOWN(line_down,line_up) == True and i.getDir() == 'down':
                            # if w > 100:
                            #     count_down = w/60
                            #     #cnt_down += count_down
                            # else:
                            #     cnt_down += 1
                            #i.updateCoords(cx,cy)
                            cnt_down += 1
                            print ("ID:",i.getId(),'crossed going down 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():
                        #get out of the people list
                        index = persons.index(i)
                        persons.pop(index)
                        del i     #free the memory of i
                if new == True:
                    p = Person.MyPerson(pid,cx,cy, max_p_age)
                    persons.append(p)
                    pid += 1    
          
            #################
            #   DRAWINGS     #
            #################
            cv2.circle(frame,(cx,cy), 5, (0,0,255), -1)
            img = cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),1)            
            #cv2.drawContours(frame, cnt, -1, (0,255,0), 3)
            
    #END for cnt in contours0
            
    #########################
    # DRAWING TRAJECTORIES  #
    #########################
    #for i in persons:
##        if len(i.getTracks()) >= 2:
##            pts = np.array(i.getTracks(), np.int32)
##            pts = pts.reshape((-1,1,2))
##            frame = cv2.polylines(frame,[pts],False,i.getRGB())
##        if i.getId() == 9:
##            print str(i.getX()), ',', str(i.getY())
        #cv2.putText(frame, str(i.getId()),(i.getX(),i.getY()),font,0.3,i.getRGB(),1,cv2.LINE_AA)
        
    #################
    # DISPLAY ON FRAME    #
    #################
    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 ,(20,70),font,0.5,(255,255,255),2,cv2.LINE_AA)
    cv2.putText(frame, str_down ,(20,100),font,0.5,(255,255,255),2,cv2.LINE_AA)
    out.write(frame)

    # img_resp = requests.get(url)
    # img_arr = np.array(bytearray(img_resp.content), dtype=np.uint8)
    # img = cv2.imdecode(img_arr, -1)
    # img = imutils.resize(img, width=1000, height=1800)
    cv2.imshow('Counting',frame)
    #cv2.imshow('track',mask)
    #cv2.imshow('Mask',mask)    
    
   #Press ESC to exit
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break
#END while(cap.isOpened())
    
#################
#   CLOSING    #
#################
cap.release()
cv2.waitKey()
cv2.destroyAllWindows()