以代码为基础的opencv-python学习 颜色识别

import cv2
import numpy as np

def extract_object_demo():
    capture = cv2.VideoCapture(0)
    while(True):
        ret, frame = capture.read()
        if ret == False:
            break
        hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
        low_hsv = np.array([100,43,46]) #查看下表得到蓝色的最小值
        high_hsv = np.array([124,255,255]) #查看下表得到蓝色的最大值
        mask = cv2.inRange(hsv,lowerb=low_hsv,upperb=high_hsv)#识别出蓝色物体
        cv2.imshow("video",mask)
        c = cv2.waitKey(40)
        if c == 27:
            break

def color_space_demo(image):
    gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
    cv2.imshow("gray",gray)
    hsv = cv2.cvtColor(image,cv2.COLOR_GBR2HSV)
    cv2.imshow("hsv",hsv)
    yuv = cv2.cvtColor(image, cv2.COLOR_GBR2YUV)
    cv2.imshow("yuv",yuv)


src = cv2.imread("woman.jpg")
cv2.namedWindow("input image",cv2.WINDOW_AUTOSIZE)
cv2.imshow(‘input image‘,src)
extract_object_demo()
cv2.waitKey(0)

cv2.destroyAllWindows()

以代码为基础的opencv-python学习 颜色识别

原文：https://www.cnblogs.com/August2019/p/12547943.html