问题描述
我正在尝试检测从我的网络摄像头拍摄的视频中的红色.下面给出的以下代码示例取自 OpenCV 文档.代码如下:
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]) 具有更高范围的蓝色 HSV 值.我在互联网上查找了红色的上限值和下限值,但找不到.如果有人能说出 OpenCV 的红色 HSV 值(OpenCV H 值范围为 0 - 179),那将非常有帮助.非常感谢您的帮助(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).
我也尝试过运行以下命令来查找 Red 的范围,但我可能无法选择合适的值.我试过的是这个(红色):
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]]]
这也取自 OpenCV 文档.请告诉我或帮我找到 OpenCV 的 RED COLOR 范围.
This was also taken from OpenCV documentation. Please tell me or help me find the RANGE of RED COLOR for OpenCV.
推荐答案
对 red 运行相同的代码似乎可行:
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]]]
然后您可以尝试不同颜色的偏红.请注意,红色范围包括略大于 0 的数字和略小于 179 的数字(例如 red = numpy.uint8([[[0,31,255]]]) 导致 [[[ 4 255 255]]] 而 red = numpy.uint8([[[31,0,255]]]) 导致 [[[176 255 255]]]]代码>.
And then you can try different colors that appear reddish. Beware that the red range includes both numbers slightly greater than 0 and numbers slightly smaller than 179 (e.g. red = numpy.uint8([[[0,31,255]]]) results in [[[ 4 255 255]]] whereas red = numpy.uint8([[[31,0,255]]]) results in [[[176 255 255]]].