问题描述
我有一些要在Python Shell(IDLE)中运行的代码,但是我在Python Shell中解析参数的方式似乎有问题.
I have some code that I am trying to run in a Python shell (IDLE) but there seems to be a problem with the way I am parsing arguments in the Python shell.
这是代码:
# import the necessary packages
from skimage.segmentation import slic
from skimage.segmentation import mark_boundaries
from skimage.util import img_as_float
from skimage import io
import matplotlib.pyplot as plt
import argparse
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True, help = "Path to the image")
args = vars(ap.parse_args())
# load the image and convert it to a floating point data type
image = img_as_float(io.imread(args["image"]))
# loop over the number of segments
for numSegments in (100, 200, 300):
# apply SLIC and extract (approximately) the supplied number
# of segments
segments = slic(image, n_segments = numSegments, sigma = 5)
# show the output of SLIC
fig = plt.figure("Superpixels -- %d segments" % (numSegments))
ax = fig.add_subplot(1, 1, 1)
ax.imshow(mark_boundaries(image, segments))
plt.axis("off")
# show the plots
plt.show()
当我尝试使用行Slic.py --image 0021.jpg
运行程序时,得到SyntaxError: invalid syntax
.不确定我做错了什么,也许对某些人确实很明显,但是任何帮助都将不胜感激.
When I try to run the program with the line Slic.py --image 0021.jpg
I get SyntaxError: invalid syntax
. Not sure what I am doing wrong, probably really obvious to some but any help is greatly appreciated.
该代码位于页面底部SLIC示例下的以下链接中,他甚至演示了如何运行该代码,但对我而言不起作用:
The code was found at the link below under the SLIC example at the bottom of the page, he even shows how to run the code but it doesn't work for me:
www.pyimagesearch.com/2014/07/28/a-slic-superpixel-tutorial-using-python
www.pyimagesearch.com/2014/07/28/a-slic-superpixel-tutorial-using-python
推荐答案
只是一个想法-这可能与IDLE发生冲突.尝试从外壳程序运行(您可能已经猜到了python Slic.py --image 0021.jpg
).当然,由于这是一个5个月的问题,所以我认为您现在已经解决了这个问题:)
Just a thought - this may be a clash with IDLE. Try running from the shell (as you probably have guessed, python Slic.py --image 0021.jpg
). Of course, since this is a 5 month old question, I assume that you've resolved it by now :)
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