[英]detect object through color in opencv python
I am trying to detect my mobile by using hsv color range,but the problem is how i should pick color range to detect my mobile. 我正在尝试通过使用hsv颜色范围来检测我的手机,但是问题是我应该如何选择颜色范围来检测我的手机。
mobile color is metallic golden. 移动颜色是金属金色。
is there is any easy way to find color range in hsv if i know BGR value? 如果我知道BGR值,有什么简单的方法可以在hsv中找到颜色范围?
Here is my code 这是我的代码
detectMobile.py detectMobile.py
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lowerColor = np.array([0, 0, 0])
upperColor = np.array([74, 74, 83])
mask = cv2.inRange(hsv, lowerColor, upperColor)
res = cv2.bitwise_and(frame, frame, mask=mask)
cv2.imshow('frame', frame)
cv2.imshow('mask', mask)
#cv2.imshow('res', res)
if cv2.waitKey(1) & 0xff == ord('q'):
break
cv2.destroyAllWindows()
cap.release()
Yes, there is an easy way : you can just write something similiar to this 是的,有一个简单的方法:您可以编写与此类似的内容
lowerColor = np.uint8([[[0, 0, 0]]])
upperColor = np.uint8([[[74, 74, 83]]])
hsv_lower = cv2.cvtColor(lowerColor, cv2.COLOR_BGR2HSV)
hsv_upper = cv2.cvtColor(upperColor, cv2.COLOR_BGR2HSV)
as suggested in the opencv python tutorials ( 1 ) ! 如opencv python教程( 1 )中所建议!
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