-
Notifications
You must be signed in to change notification settings - Fork 0
/
people.py
163 lines (136 loc) · 5.47 KB
/
people.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
import numpy as np
import cv2
import Person
import time
cnt_up = 0
cnt_down = 0
cap = cv2.VideoCapture(0)
for i in range(19):
print (i, cap.get(i))
w = cap.get(3)
h = cap.get(4)
frameArea = h*w
areaTH = frameArea/17
print ('Area Threshold', areaTH)
line_up = int(3*(h/6))
line_down = int(3*(h/6))
up_limit = int(0*(h/6))
down_limit = int(6*(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))
fgbg = cv2.createBackgroundSubtractorMOG2(detectShadows = True)
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 = []
max_p_age = 5
pid = 1
while(cap.isOpened()):
##for image in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
#Lee una imagen de la fuente de video
ret, frame = cap.read()
## frame = image.array
for i in persons:
i.age_one() #age every person one frame
#########################
# PRE-PROCESAMIENTO #
#########################
#Aplica substraccion de fondo
fgmask = fgbg.apply(frame)
fgmask2 = fgbg.apply(frame)
#Binariazcion para eliminar sombras (color gris)
try:
ret,imBin= cv2.threshold(fgmask,200,255,cv2.THRESH_BINARY)
ret,imBin2 = cv2.threshold(fgmask2,200,255,cv2.THRESH_BINARY)
#Opening (erode->dilate) para quitar ruido.
mask = cv2.morphologyEx(imBin, cv2.MORPH_OPEN, kernelOp)
mask2 = cv2.morphologyEx(imBin2, cv2.MORPH_OPEN, kernelOp)
#Closing (dilate -> erode) para juntar regiones blancas.
mask = cv2.morphologyEx(mask , cv2.MORPH_CLOSE, kernelCl)
mask2 = cv2.morphologyEx(mask2, cv2.MORPH_CLOSE, kernelCl)
except:
print('EOF')
print ('UP:',cnt_up)
print ('DOWN:',cnt_down)
break
#################
# CONTORNOS #
#################
# 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:
area = cv2.contourArea(cnt)
if area > areaTH:
#Falta agregar condiciones para multipersonas, salidas y entradas de pantalla.
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 persons:
if abs(cx-i.getX()) <= w and abs(cy-i.getY()) <= h:
# el objeto esta cerca de uno que ya se detecto antes
new = False
i.updateCoords(cx,cy) #actualiza coordenadas en el objeto and resets 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:
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():
#sacar i de la lista persons
index = persons.index(i)
persons.pop(index)
del i #liberar la memoria de i
if new == True:
p = Person.MyPerson(pid,cx,cy, max_p_age)
persons.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 persons:
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)
k = cv2.waitKey(15) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()