[英]opencv python color detection with boolean output
i use this Script for color detection: 我使用此脚本进行颜色检测:
# import the necessary packages #导入必要的软件包
import numpy as np
import argparse
import cv2
# construct the argument parse and parse the arguments #构造参数解析并解析参数
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", help = "path to the image")
args = vars(ap.parse_args())
# load the image #加载图像
image = cv2.imread(args["image"])
# define the list of boundaries #定义边界列表
boundaries = [
([100,50,220],[135,80,245]),
]
# loop over the boundaries #越过边界
for (lower, upper) in boundaries:
# create NumPy arrays from the boundaries
lower = np.array(lower, dtype = "uint8")
upper = np.array(upper, dtype = "uint8")
# find the colors within the specified boundaries and apply
# the mask
mask = cv2.inRange(image, lower, upper)
output = cv2.bitwise_and(image, image, mask = mask)
print (output)
# show the images
cv2.imshow("images", np.hstack([image, output]))
cv2.waitKey(0)
I need a boolean Variable for color detect or not. 我需要一个布尔变量来进行颜色检测。 How can I do that? 我怎样才能做到这一点?
regards Thomas 问候托马斯
here my own solution: 这是我自己的解决方案:
# import the necessary packages #导入必要的软件包
import shutil
import numpy as np
import argparse
import cv2
# construct the argument parse and parse the arguments #构造参数解析并解析参数
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", help = "path to the image")
args = vars(ap.parse_args())
# load the image #加载图像
image = cv2.imread(args["image"])
# define the list of boundaries #定义边界列表
boundaries = [
([100,50,220],[135,80,245]),
]
# loop over the boundaries #越过边界
for (lower, upper) in boundaries:
# create NumPy arrays from the boundaries #从边界创建NumPy数组
lower = np.array(lower, dtype = "uint8")
upper = np.array(upper, dtype = "uint8")
# find the colors within the specified boundaries and apply the mask #找到指定边界内的颜色并应用遮罩
mask = cv2.inRange(image, lower, upper)
if np.sum(mask) < 100:
shutil.move(args["image"], "/temp/")
regards Thomas 问候托马斯
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