第四課-色彩空間02【python+opencv課程筆記】

H:0-180

S:0-255

V:0-255

 

import cv2 as cv
import numpy as np


def extrace_object_demo():  # 教程中老師導入一個視頻，本函數可以追蹤運動的綠色盤子
    capture = cv.videoCapture("D:/1.mp4")
    while True:
        ret, frame = capture.read()
        if ret == False:
            break
        hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
        lower_hsv = np.array([37, 43, 46])  # 通過表格查找，本例是提取綠色的物體
        upper_hsv = np.array([77, 255, 255])
        mask = cv.inRange(hsv, lowerb=lower_hsv, upperb=upper_hsv)  # 學會用inRange
        cv.imshow("video", frame)
        cv.imshow("mask", mask)
        c = cv.waitKey(40)
        if c == 27:
            break


def color_space_demo(image):
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    cv.imshow("gray", gray)
    hsv = cv.cvtColor(image, cv.COLOR_BGR2HSV)
    cv.imshow("hsv", hsv)
    yuv = cv.cvtColor(image, cv.COLOR_BGR2YUV)
    cv.imshow("yuv", yuv)
    Ycrcb = cv.cvtColor(image, cv.COLOR_BGR2YCrCb)
    cv.imshow("ycrcb", Ycrcb)


src = cv.imread("D:/demo.png")
cv.namedWindow("input image", cv.WINDOW_AUTOSIZE)
cv.imshow("input image", src)

b, g, r = cv.split(src)  # 通道分離
cv.imshow("blue", b)
cv.imshow("green", g)
cv.imshow("red", r)

src[:, :, 2] = 0
src = cv.merge([b, g, r])  # 通道合併
cv.imshow("changed image", src)


extrace_object_demo()
#color_space_demo(src)
cv.waitKey(0)
cv.destroyAllWindows()