import cv2 as cv
import os
import numpy as np
# 遍历文件夹函数
def getFileList(dir, Filelist, ext=None):
"""
获取文件夹及其子文件夹中文件列表
输入 dir:文件夹根目录
输入 ext: 扩展名
返回: 文件路径列表
"""
newDir = dir
if os.path.isfile(dir):
if ext is None:
Filelist.append(dir)
else:
if ext in dir[-3:]:
Filelist.append(dir)
elif os.path.isdir(dir):
for s in os.listdir(dir):
newDir = os.path.join(dir, s)
getFileList(newDir, Filelist, ext)
return Filelist
#鼠标响应事件
def onmouse(event, x, y, flags, param):
cv.imshow("img", img)
# 双击
if event == cv.EVENT_LBUTTONDBLCLK:
print("(" + str(x) + "," + str(y) + ")的HSV为" + str(img_hsv[y, x]))
# 存放图片的文件夹路径
path = "./images/"
imglist = getFileList(path, [])
for imgpath in imglist:
img = cv.imread(imgpath)
img=cv.resize(img,dsize=None,fx=0.5,fy=0.5)
img_hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV)
cv.namedWindow("img")
cv.namedWindow("imgDivided")
# mask默认为灰度图
mask = cv.inRange(img_hsv, np.array([63, 32, 70]), np.array([80, 255, 255]))
# 取色器(以下两行仅保留一行注释,若第一行被注释则为快速展示模式,若第二行被注释则为调整阈值模式)
cv.setMouseCallback("img", onmouse)
# cv.imshow("img", img)
div = np.array(img)
div[mask == 255] = [0, 0, 255]
cv.imshow("imgDivided", div)
cv.waitKey(0)
cv.destroyAllWindows()
[Python]基于openCV的HSV取色器与阈值提取
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转载自blog.csdn.net/weixin_66896881/article/details/131523077
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