我正在编写一个脚本,使用opencv和python在相机捕捉到某种颜色时打印文本。我尝试使用if
语句,但它失败了。
下面是我的代码:
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while(1):
# Take each frame
_, frame = cap.read()
# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])
result = lower_blue + upper_blue
# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_blue, upper_blue)
# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)
if result.any() == True:
print 'I can see blue color'
cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()
我想出了一个适用于我的环境的解决方案。我使用Python 2.7和OpenCV 2.4.6。您可能需要修改blue_threshold
值以满足您的需要。
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
blue_threshold = 1000000 # This value you could change for what works best
while True:
# Take each frame
_, frame = cap.read()
# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])
# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_blue, upper_blue)
count = mask.sum()
if count > blue_threshold:
print 'I can see blue color'
cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()