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main.py
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import cv2
import numpy as np
import Vehicle
import time
cnt_up = 0
cnt_down = 0
cap = cv2.VideoCapture('NVR_ch1_main_20200207140000_20200207143000 (copy).mp4') # read the video
# Capture the properties of VideoCapture 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/200
print('Area Threshold', areaTH)
# Upper/Lower Lines
line_up = int(2*(h/6))
line_down = int(3*(h/5))
up_limit = int(1*(h/6))
down_limit = int(4*(h/5))
print("Blue line y:", str(line_down))
print("Red 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))
#Create the background subtractor
fgbg = cv2.createBackgroundSubtractorMOG2()
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
vehicles = []
max_p_age = 5
pid = 1
while(cap.isOpened()):
#read a frame
ret, frame = cap.read()
for i in vehicles:
i.age_one() # age every Car on frame
#########################################################################################################################
# PREPROCESSING #
#########################################################################################################################
fgmask = fgbg.apply(frame)
fgmask2 = fgbg.apply(frame)
# Binary to remove shadow
try:
#cv2.imshow('Frame', frame)
#cv2.imshow('Backgroud Subtraction', fgmask)
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 region
mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernelCl)
mask2 = cv2.morphologyEx(mask2, cv2.MORPH_CLOSE, kernelCl)
cv2.imshow('Image Threshold', cv2.resize(fgmask, (400, 300))) #frame size= 400*300
cv2.imshow('Image Threshold2', cv2.resize(fgmask2, (400, 300))) #frame size= 400*300
cv2.imshow('Masked Image', cv2.resize(mask, (400, 300))) #frame size= 400*300
cv2.imshow('Masked Image2', cv2.resize(mask2, (400, 300))) #frame size= 400*300
except:
#If there is no more frames to show...
print('End Of Frames')
print('Up:', cnt_up)
print('Right:', cnt_down-cnt_up)
break
#########################################################################################################################
# FIND CONTOUR #
#########################################################################################################################
contours0, hierarchy = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for cnt in contours0:
cv2.drawContours(frame, cnt, -1, (0,255,0), 3, 8)
area = cv2.contourArea(cnt)
#print area," ",areaTH
#########################################################################################################################
# TRACKING #
#########################################################################################################################
if area > areaTH and area < 20000:
M = cv2.moments(cnt)
cx = int(M['m10']/M['m00'])
cy = int(M['m01']/M['m00'])
x,y,w,h = cv2.boundingRect(cnt)
# the object is near the one which already detect before
new = True
for i in vehicles:
if abs(x-i.getX()) <= w and abs(y-i.getY()) <= h:
new = False
i.updateCoords(cx,cy) # Update the coordinates in the object and reset age
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:
roi = frame[y:y+h, x:x+w]
cv2.imshow('Region of Interest', roi)
print("Area equal to ::::", area)
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():
# Remove from the list of Vehicle
index = vehicles.index(i)
vehicles.pop(index)
del i
if new == True:
p = Vehicle.MyVehicle(pid,cx,cy, max_p_age)
vehicles.append(p)
pid += 1
#########################################################################################################################
# DRAWING #
#########################################################################################################################
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 vehicles:
cv2.putText(frame, str(i.getId()), (i.getX(),i.getY()),font,0.3,i.getRGB(),1,cv2.LINE_AA)
#########################################################################################################################
# IMAGE #
#########################################################################################################################
str_up = 'UP:' + str(cnt_up)
str_down = 'DOWN:' + str(cnt_down)
frame = cv2.polylines(frame, [pts_L1], False, line_down_color, thickness=1)
frame = cv2.polylines(frame, [pts_L2], False, line_up_color, thickness=1)
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, (5,45),font,2,(255,255,255),2,cv2.LINE_AA)
cv2.putText(frame, str_up, (5,45),font,2,(0,0,255),1,cv2.LINE_AA)
cv2.putText(frame, str_down, (5,95),font,2,(255,255,255),2,cv2.LINE_AA)
cv2.putText(frame, str_down, (5,95),font,2,(255,0,0),1,cv2.LINE_AA)
cv2.imshow('Backgroud Subtraction', fgmask)
cv2.imshow('Frame', cv2.resize(frame, (400, 300)))
#Abort and exit with ESC
k = cv2.waitKey(10) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()