[英]hello.py: error: the following arguments are required: -i/--image
I have taken a piece of code from the web which uses OpenCV to find circles in an image.我从 web 中获取了一段代码,它使用 OpenCV 在图像中查找圆圈。
# import the necessary packages
import numpy as np
import argparse
import cv2
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True, help = r"C:\Users\user\Desktop\Sem 8T\Mini Project\Data\Imagestraffic.jpg")
args = vars(ap.parse_args())
# load the image, clone it for output, and then convert it to grayscale
image = cv2.imread(args["image"])
output = image.copy()
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# detect circles in the image
circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1.2, 100)
# ensure at least some circles were found
if circles is not None:
# convert the (x, y) coordinates and radius of the circles to integers
circles = np.round(circles[0, :]).astype("int")
# loop over the (x, y) coordinates and radius of the circles
for (x, y, r) in circles:
# draw the circle in the output image, then draw a rectangle
# corresponding to the center of the circle
cv2.circle(output, (x, y), r, (0, 255, 0), 4)
cv2.rectangle(output, (x - 5, y - 5), (x + 5, y + 5), (0, 128, 255), -1)
# show the output image
cv2.imshow("output", np.hstack([image, output]))
cv2.waitKey(0)
However, I keep getting the same error: hello.py: error: the following arguments are required: -i/--image但是,我不断收到相同的错误:hello.py: error: the following arguments are required: -i/--image
I've tried ap.parse_args(args) instead of ap.parse_args() but that doesn't seem to solve it.我试过 ap.parse_args(args) 而不是 ap.parse_args() 但这似乎并没有解决它。
There are two ways to do it.有两种方法可以做到这一点。
ap.add_argument("-i", r"C:\Users\user\Desktop\Sem 8T\Mini Project\Data\Imagestraffic.jpg", required=True,
help="path to input image")
ap.add_argument("-i", "--image", required = True, help = "Path to the image")
Hope this will work !希望这会奏效!
# import the necessary packages
import numpy as np
import argparse
import cv2
# load the image, clone it for output, and then convert it to grayscale
image = cv2.imread(r"C:\Users\user\Desktop\Sem 8T\Mini Project\Data\Imagestraffic.jpg")
output = image.copy()
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# detect circles in the image
circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1.2, 100)
# ensure at least some circles were found
if circles is not None:
# convert the (x, y) coordinates and radius of the circles to integers
circles = np.round(circles[0, :]).astype("int")
# loop over the (x, y) coordinates and radius of the circles
for (x, y, r) in circles:
# draw the circle in the output image, then draw a rectangle
# corresponding to the center of the circle
cv2.circle(output, (x, y), r, (0, 255, 0), 4)
cv2.rectangle(output, (x - 5, y - 5), (x + 5, y + 5), (0, 128, 255), -1)
# show the output image
cv2.imshow("output", np.hstack([image, output]))
cv2.waitKey(0)
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