实时颜色检测及其功能
Real Time Color Detection and Functioning with it
我使用 OpenCV 工作了一段时间,以在屏幕上弹出颜色。最后,我成功遮盖了不同 windows 的颜色,如下图所示:
想知道什么是使 python 检测颜色并使其成为 运行 我编写的 functions() 的最有效和有效的方法。例如,如果检测到绿色,运行 函数 hellogreen(),它会在检测到绿色时打印 hello green 等等。
源代码,以防万一:
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# Red color
low_red = np.array([161, 155, 84])
high_red = np.array([179, 255, 255])
red_mask = cv2.inRange(hsv_frame, low_red, high_red)
red = cv2.bitwise_and(frame, frame, mask=red_mask)
# Blue color
low_blue = np.array([94, 80, 2])
high_blue = np.array([126, 255, 255])
blue_mask = cv2.inRange(hsv_frame, low_blue, high_blue)
blue = cv2.bitwise_and(frame, frame, mask=blue_mask)
# Green color
low_green = np.array([25, 52, 72])
high_green = np.array([83, 255, 255])
green_mask = cv2.inRange(hsv_frame, low_green, high_green)
green = cv2.bitwise_and(frame, frame, mask=green_mask)
# Every color except white
low = np.array([0, 42, 0])
high = np.array([179, 255, 255])
mask = cv2.inRange(hsv_frame, low, high)
result = cv2.bitwise_and(frame, frame, mask=mask)
cv2.imshow("Frame", frame)
cv2.imshow("Red", red)
cv2.imshow("Blue", blue)
cv2.imshow("Green", green)
key = cv2.waitKey(1)
if key == 27:
break
将这些行放在代码的末尾(helloblue、hellogreen 和 hellored 是您假设的函数):
b = cv2.countNonZero(blue_mask)
r = cv2.countNonZero(red_mask)
g = cv2.countNonZero(green_mask)
if b >= r and b >= g:
helloblue()
elif r >= b and r >= g:
hellred()
elif g >= b and g >= r:
hellgreen()
key = cv2.waitKey(1)
if key == 27:
break
我使用 OpenCV 工作了一段时间,以在屏幕上弹出颜色。最后,我成功遮盖了不同 windows 的颜色,如下图所示:
想知道什么是使 python 检测颜色并使其成为 运行 我编写的 functions() 的最有效和有效的方法。例如,如果检测到绿色,运行 函数 hellogreen(),它会在检测到绿色时打印 hello green 等等。
源代码,以防万一:
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# Red color
low_red = np.array([161, 155, 84])
high_red = np.array([179, 255, 255])
red_mask = cv2.inRange(hsv_frame, low_red, high_red)
red = cv2.bitwise_and(frame, frame, mask=red_mask)
# Blue color
low_blue = np.array([94, 80, 2])
high_blue = np.array([126, 255, 255])
blue_mask = cv2.inRange(hsv_frame, low_blue, high_blue)
blue = cv2.bitwise_and(frame, frame, mask=blue_mask)
# Green color
low_green = np.array([25, 52, 72])
high_green = np.array([83, 255, 255])
green_mask = cv2.inRange(hsv_frame, low_green, high_green)
green = cv2.bitwise_and(frame, frame, mask=green_mask)
# Every color except white
low = np.array([0, 42, 0])
high = np.array([179, 255, 255])
mask = cv2.inRange(hsv_frame, low, high)
result = cv2.bitwise_and(frame, frame, mask=mask)
cv2.imshow("Frame", frame)
cv2.imshow("Red", red)
cv2.imshow("Blue", blue)
cv2.imshow("Green", green)
key = cv2.waitKey(1)
if key == 27:
break
将这些行放在代码的末尾(helloblue、hellogreen 和 hellored 是您假设的函数):
b = cv2.countNonZero(blue_mask)
r = cv2.countNonZero(red_mask)
g = cv2.countNonZero(green_mask)
if b >= r and b >= g:
helloblue()
elif r >= b and r >= g:
hellred()
elif g >= b and g >= r:
hellgreen()
key = cv2.waitKey(1)
if key == 27:
break