Added working grayscale, RGB versions of the script. Functions properly.
This commit is contained in:
Skye Stevenson
commit
697dbe2a00
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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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# 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 = ""
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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/3)))
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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('RGB',(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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# evaluate RGB values
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rVal = ord(dataList[index])
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if (index+1) < listLength:
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gVal = ord(dataList[index+1])
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else:
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gVal = 0
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if (index+2) < listLength:
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bVal = ord(dataList[index+2])
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else:
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bVal = 0
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px[i,q] = (rVal,gVal,bVal)
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#print rVal
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#print gVal
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#print bVal
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print str(index) + "/" + str(listLength) + " done"
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index += 3
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image.show()
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image.save("asciiConverted_RGB.png")
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#fileName = raw_input("Give me a file to pixelize:\n")
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from PIL import Image
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image = Image.open("asciiConverted.png")
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# get image width
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width, height = image.size
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# load up pixels
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px = image.load()
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stringOutput = ""
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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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stringOutput += chr(px[i,q])
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print str(index) + "/" + str(width^2) + " done"
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index += 1
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#print stringOutput
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# save to file
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outFile = open("TESTCONVERT.jpg","w")
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outFile.write(stringOutput)
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outFile.close()
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#fileName = raw_input("Give me a file to pixelize:\n")
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from PIL import Image
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image = Image.open("asciiConverted_RGB.png")
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# get image width
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width, height = image.size
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# load up pixels
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px = image.load()
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stringOutput = ""
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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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# stringOutput += chr(px[i,q])
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pixelString = str(px[i,q])
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pixelString = pixelString.strip("()")
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pixelSplit = pixelString.split(", ")
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#print pixelString
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#print "---"
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for channel in pixelSplit:
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#print channel
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stringOutput += chr(int(channel))
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#print "-"
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print str(index) + "/" + str(width*width) + " done"
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index += 1
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#print stringOutput
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# save to file
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outFile = open("TESTCONVERT.txt","w")
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outFile.write(stringOutput)
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outFile.close()
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