問題描述

我正在嘗試檢測從我的網絡攝像頭拍攝的視頻中的紅色.下面給出的以下代碼示例取自 OpenCV 文檔.代碼如下:

I am trying to detect red color from the video that's being taken from my webcam. The following code example given below is taken from OpenCV Documentation. The code is given below:

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])

    # 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)

    cv2.imshow('frame',frame)
    cv2.imshow('mask',mask)
    cv2.imshow('res',res)
    k = cv2.waitKey(5) & 0xFF
    if k == 27:
        break

cv2.destroyAllWindows()

行 lower_blue = np.array([110,50,50]) 具有下限 Blue HSV 值，行 upper_blue = np.array([130,255,255]) 具有更高范圍的藍色 HSV 值.我在互聯網上查找了紅色的上限值和下限值，但找不到.如果有人能說出 OpenCV 的紅色 HSV 值(OpenCV H 值范圍為 0 - 179)，那將非常有幫助.非常感謝您的幫助(提前).

The line lower_blue = np.array([110,50,50]) has the lower range Blue HSV value and the line upper_blue = np.array([130,255,255]) has the higher range Blue HSV value. I have looked for the upper value and lower value of Red color on internet but I couldn't find it. It would be very helpful if anyone could tell the HSV value of Red for OpenCV (OpenCV H value ranges from 0 - 179). Thanks a lot for help (In Advance).

我也嘗試過運行以下命令來查找 Red 的范圍，但我可能無法選擇合適的值.我試過的是這個(紅色):

I have also tried running the following to find the range of Red but I was unable to pick proper value maybe. What I tried was this(for red):

>>> green = np.uint8([[[0,255,0 ]]])
>>> hsv_green = cv2.cvtColor(green,cv2.COLOR_BGR2HSV)
>>> print hsv_green
[[[ 60 255 255]]]

這也取自 OpenCV 文檔.請告訴我或幫我找到 OpenCV 的 RED COLOR 范圍.

This was also taken from OpenCV documentation. Please tell me or help me find the RANGE of RED COLOR for OpenCV.

推薦答案

對 red 運行相同的代碼似乎可行:

Running the same code for red seems to work:

>>> red = numpy.uint8([[[0,0,255]]])
>>> hsv_red = cv2.cvtColor(red,cv2.COLOR_BGR2HSV)
>>> print(hsv_red)
[[[  0 255 255]]]

然后您可以嘗試不同顏色的偏紅.請注意，紅色范圍包括略大于 0 的數字和略小于 179 的數字(例如 red = numpy.uint8([[[0,31,255]]]) 導致 [[[ 4 255 255]]] 而 red = numpy.uint8([[[31,0,255]]]) 導致 [[[176 255 255]]]].