用颜色OpenCV 2.x跟踪多个目标

2024-04-26 09:57:54 发布

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目前,我正在尝试跟踪多个对象的颜色。我基于文档代码。

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])

    # 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()

使用上面的代码,我正在跟踪过滤HSV蓝色通道的蓝色物体。我想同时跟踪绿色物体,并在“res”图像中同时显示蓝色和绿色。

我添加了以下代码但没有成功

lower_green = np.array([50, 100, 100])
upper_green = np.array([70, 255, 255]) 
green_mask = cv2.inRange(hsv, lower_green, upper_green) # I have the Green threshold image.

我不知道如何使用bitwise-and在一个“res”图像中添加绿色掩码和掩码(蓝色)。你能给我一些指导吗。

提前谢谢。


Tags: 代码imagenpresmaskgreenbluearray
1条回答
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1楼 · 发布于 2024-04-26 09:57:54

把它们加在一起。

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])

    lower_green = np.array([50, 50, 120])
    upper_green = np.array([70, 255, 255]) 
    green_mask = cv2.inRange(hsv, lower_green, upper_green) # I have the Green threshold image.

    # Threshold the HSV image to get only blue colors
    blue_mask = cv2.inRange(hsv, lower_blue, upper_blue)
    mask = blue_mask + green_mask

    # 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()

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