cnc_input.py

import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import json
import sys
from PIL import Image
import optparse
class cnc_input:
    def __init__(self, photo_name):
        self.photo_name = photo_name
        img = mpimg.imread(self.photo_name)
        gray = img[:,:,2]
        plt.imshow(gray, cmap = plt.get_cmap('gray'))
        self.gray = gray
    
    def target_area(self, x, y, width, length):
        target_area = self.gray[ x : x + width, y: y + length]
        return target_area
def main(argv = None):
    if argv == None:
        argv = sys.argv
    try:
        parser = optparse.OptionParser()
        parser.add_option('-i', '--inputFile', action='store', type='string', dest='input',
                          help='read file from the input path')
        parser.add_option('-o', '--outputFile', action='store', type='string', dest='output',
                          help='output file to the output path')
        parser.add_option('-q', '--quiet', action='store_true', dest='quietMode', help='quiet mode', default=False)
        (options, args) = parser.parse_args(argv)
        
        if options.input:
            try:
                with open(options.input, 'r') as file:
                    data = json.load(file)
                print(data)
            except Exception as e:
                print(e.with_traceback())
	
    except Exception as e:
        print(e.with_traceback())

        
     


    

    
    
    
if __name__ == '__main__':
    main()