49 lines
1.9 KiB
Python
49 lines
1.9 KiB
Python
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# TODO add feature to include original filename in file, use filename to reconstruct original file without user input
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# TODO make this work in RGB colorspace, reduce number of pixels needed
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# we need to encode ASCII data as an image!
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# each ASCII character takes up a 0-127 space, meaning we can fit at least 1 ASCII character into each channel of a given pixel in an image!
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# we need to assign the numeric value of a series of ASCII characters to each of the channels of each pixel of an image!
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# make list from string
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#fileName = raw_input("Give me a file to pixelize:\n")
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fileName = "test.jpg"
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data = open(fileName,"r")
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dataString = data.read()
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#dataString = raw_input("Please give me text:")
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dataList = list(dataString)
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listLength = len(dataList)
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print "list length: " + str(listLength)
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import math
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width = int(math.ceil(math.sqrt(listLength)))
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print "width: " + str(width)
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# make the image
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from PIL import Image
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image = Image.new('L',(width,width),color=0)
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# load the temp image and store the ASCII value in one of its pixels
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px = image.load()
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# px[1,1] = (ascValue)
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#image.show()
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# we have to loop through the coordinates 1,1 2,1 3,1 1,2 2,2 3,2 with 3 being the width of the image - maybe we raise the x coordinate until it hits the width count, then raise the y coordinate until it hits the secnd width count, then do the same operation - can we use modulo to determine if a scanline width count has been reached?
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# then we need to assign the ASCII numeric value to the pixel at each of those locations
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index = 0
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for q in range(0,width):
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for i in range(0,width):
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if index < listLength: #prevents an error when trying to access data at indices higher than what's in the list
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px[i,q] = (ord(dataList[index]))
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# print ord(dataList[index])
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print str(index) + "/" + str(listLength) + " done"
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index += 1
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image.show()
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image.save("asciiConverted.png")
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