-
Notifications
You must be signed in to change notification settings - Fork 0
/
ch7.py
73 lines (65 loc) · 2.82 KB
/
ch7.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
##color detection using cv2...
import cv2
import numpy as np
def stackImages(scale,imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width = imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range ( 0, rows):
for y in range(0, cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape [:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y]= cv2.cvtColor( imgArray[x][y], cv2.COLOR_GRAY2BGR)
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank]*rows
hor_con = [imageBlank]*rows
for x in range(0, rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
else:
for x in range(0, rows):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None,scale, scale)
if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor= np.hstack(imgArray)
ver = hor
return ver
def empty(a):
pass
# crete tackbar
cv2.namedWindow("Tracker")
cv2.resizeWindow("Tracker",640,400)
cv2.createTrackbar("Hue min","Tracker",2,179,empty)
cv2.createTrackbar("Hue max","Tracker",9,179,empty)
cv2.createTrackbar("Set min","Tracker",22,255,empty)
cv2.createTrackbar("Set max","Tracker",198,255,empty)
cv2.createTrackbar("val min","Tracker",153,255,empty)
cv2.createTrackbar("val max","Tracker",255,255,empty)
while True:
img=cv2.imread('resources/images.jpg')
img2=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
h_min=cv2.getTrackbarPos("Hue min","Tracker")
h_max=cv2.getTrackbarPos("Hue max","Tracker")
s_min=cv2.getTrackbarPos("Set min","Tracker")
s_max=cv2.getTrackbarPos("Set max","Tracker")
v_min=cv2.getTrackbarPos("val min","Tracker")
v_max=cv2.getTrackbarPos("val max","Tracker")
#print(h_min,h_max,s_min,s_max,v_min,v_max)
lower=np.array([h_min,s_min,v_min])
upper=np.array([h_max,s_max,v_max])
mask=cv2.inRange(img2,lower,upper)
result=cv2.bitwise_and(img,img,mask=mask)
"""cv2.imshow("original",img)
cv2.imshow("original2",img2)
cv2.imshow("Mask",mask)
cv2.imshow("Result",result)"""
stackimg=stackImages(1,[img,img2,mask,result])
cv2.imshow("stacked images",stackimg)
cv2.waitKey(1)