-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmain2.py
173 lines (135 loc) · 5.06 KB
/
main2.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
164
165
166
167
168
169
170
171
172
173
import cv2
import numpy as np
# define range of red color in HSV
lower_clr1=np.array([])
upper_clr1=np.array([])
clr1=""
# define range of green color in HSV
lower_clr2=np.array([])
upper_clr2=np.array([])
clr2=""
# define range of blue color in HSV
lower_clr3=np.array([])
upper_clr3=np.array([])
clr3=""
lang = input("Which Experiment? (1-6)")
print(lang)
match lang:
case "1":
lower_clr1=np.array([0, 50, 50])
upper_clr1=np.array([10, 255, 255])
clr1="red"
# define range of green color in HSV
lower_clr2=np.array([0, 0, 0])
upper_clr2=np.array([0, 0, 0])
clr2=""
# define range of blue color in HSV
lower_clr3=np.array([0, 0, 0])
upper_clr3=np.array([0, 0, 0])
clr3=""
case "2":
lower_clr1=np.array([40, 20, 50])
upper_clr1=np.array([90, 255, 255])
clr1="green"
# define range of green color in HSV
lower_clr2=np.array([0, 0, 0])
upper_clr2=np.array([0, 0, 0])
clr2=""
# define range of blue color in HSV
lower_clr3=np.array([0, 0, 0])
upper_clr3=np.array([0, 0, 0])
clr3=""
case "3":
lower_clr1=np.array([100, 50, 50])
upper_clr1=np.array([130, 255, 255])
clr1="blue"
# define range of green color in HSV
lower_clr2=np.array([0, 0, 0])
upper_clr2=np.array([0, 0, 0])
clr2=""
# define range of blue color in HSV
lower_clr3=np.array([0, 0, 0])
upper_clr3=np.array([0, 0, 0])
clr3=""
case "4":
lower_clr1=np.array([0, 50, 50])
upper_clr1=np.array([10, 255, 255])
clr1="red"
# define range of green color in HSV
lower_clr2=np.array([0, 0, 0])
upper_clr2=np.array([0, 0, 0])
clr2=""
# define range of blue color in HSV
lower_clr3=np.array([0, 0, 0])
upper_clr3=np.array([0, 0, 0])
clr3=""
case "5":
lower_clr1=np.array([0, 50, 50])
upper_clr1=np.array([10, 255, 255])
clr1="red"
lower_clr2=np.array([0, 0, 0])
upper_clr2=np.array([0, 0, 0])
clr2=""
# define range of blue color in HSV
lower_clr3=np.array([0, 0, 0])
upper_clr3=np.array([0, 0, 0])
clr3=""
case "6":
lower_clr1=np.array([0, 50, 50])
upper_clr1=np.array([10, 255, 255])
clr1="red"
lower_clr2=np.array([0, 0, 0])
upper_clr2=np.array([0, 0, 0])
clr2=""
# define range of blue color in HSV
lower_clr3=np.array([0, 0, 0])
upper_clr3=np.array([0, 0, 0])
clr3=""
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
print(lower_clr1)
while True:
_,img = cap.read()
img_bcp = img.copy()
img = cv2.resize(img, (640, 480))
# Make a copy to draw contour outline
input_image_cpy = img.copy()
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
# create a mask for red color
mask_red = cv2.inRange(hsv, lower_clr1, upper_clr1)
# create a mask for green color
mask_green = cv2.inRange(hsv, lower_clr2, upper_clr2)
# create a mask for blue color
mask_blue = cv2.inRange(hsv, lower_clr3, upper_clr3)
# find contours in the red mask
contours_red, _ = cv2.findContours(mask_red, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# find contours in the green mask
contours_green, _ = cv2.findContours(mask_green, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# find contours in the blue mask
contours_blue, _ = cv2.findContours(mask_blue, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# loop through the red contours and draw a rectangle around them
for cnt in contours_red:
contour_area = cv2.contourArea(cnt)
if contour_area > 1000:
x, y, w, h = cv2.boundingRect(cnt)
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 2)
cv2.putText(img, clr1, (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 255), 2)
# loop through the green contours and draw a rectangle around them
for cnt in contours_green:
contour_area = cv2.contourArea(cnt)
if contour_area > 1000:
x, y, w, h = cv2.boundingRect(cnt)
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.putText(img, clr2, (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)
# loop through the blue contours and draw a rectangle around them
for cnt in contours_blue:
contour_area = cv2.contourArea(cnt)
if contour_area > 1000:
x, y, w, h = cv2.boundingRect(cnt)
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
cv2.putText(img, clr3, (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (255, 0, 0), 2)
cv2.imshow('Color Recognition Output', img)
# Close video window by pressing 'x'
if cv2.waitKey(1) & 0xFF == ord('x'):
break