98 lines
2.8 KiB
Python
98 lines
2.8 KiB
Python
from PIL import Image
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import math
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import argparse
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parser = argparse.ArgumentParser(
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prog = 'Image Edit Script',
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description = 'Manipulate or extract information from an image file',
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epilog = '')
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parser.add_argument('filename') # positional argument
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parser.add_argument('-o', '--output') # option that takes a value
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parser.add_argument('-f', '--format', choices=['firmware','nodered','nodered_int'], default='firmware', help='Output format') # option that takes a value
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parser.add_argument('-v', '--verbose', action='store_true') # on/off flag
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parser.add_argument('-i', '--invert', action='store_true')
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args = parser.parse_args()
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print(args.filename, args.output, args.format,args.verbose,args.invert)
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im = Image.open(args.filename) # Can be many different formats.
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pix = im.load()
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print(im.size) # Get the width and hight of the image for iterating over
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print(pix[10,10]) # Get the RGBA Value of the a pixel of an image
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output_pre=""
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output_col_preL=""
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output_col_writeCol_flag=False
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output_col_preR=""
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output_col_write_binary_flag=False
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output_col_write_int_flag=False
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output_col_post=""
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output_post=""
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if args.format=='firmware':
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output_pre=""
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output_col_preL="backBuffer["
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output_col_writeCol_flag=True
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output_col_preR="]=0b"
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output_col_write_binary_flag=True
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output_col_post=";\n"
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elif args.format=='nodered': #Nodered Binary
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output_pre="msg.payload=\"\\\n"
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output_col_preL=""
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output_col_writeCol_flag=False
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output_col_preR=""
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output_col_write_binary_flag=True
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output_col_post="\\\n"
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output_post="\";\nreturn msg;"
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elif args.format=='nodered_int': #Nodered Int
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output_pre="msg.payload=\"\\\n"
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output_col_preL=""
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output_col_writeCol_flag=False
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output_col_preR=""
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output_col_write_int_flag=True
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output_col_post=","
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output_post="\";\nreturn msg;"
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def calculateDistance(x1,y1,x2,y2):
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dist = math.sqrt((x2 - x1)**2 + (y2 - y1)**2)
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return dist
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with open('result.txt', 'w') as f:
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f.write(output_pre)
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for x in range(im.size[0]):
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f.write(output_col_preL)
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if output_col_writeCol_flag:
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f.write(str(x))
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f.write(output_col_preR)
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columnValue=0
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for y in reversed(range(im.size[1])):
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c = pix[x,y] #get pixel
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if args.invert:
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c=255-c
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if (c[0]>127):
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if output_col_write_binary_flag:
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f.write("1")
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columnValue+=pow(2,y)
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else:
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if output_col_write_binary_flag:
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f.write("0")
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if output_col_write_int_flag:
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f.write(str(columnValue))
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f.write(output_col_post)
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f.write(output_post)
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