![]() resize ( S ) Step 3: convert colors to grayscale ![]() size * SC ) S = ( widthByLetter, heightByLetter ) # Resize the image based on the symbol width and height size * SC * WCF ) heightByLetter = round ( img. # calculate how many ASCII letters are needed on the width and height getsize ( "x" ) WCF = letter_height / letter_width # Based on the desired output image size, # then get the the height and width of a typical symbolįont = ImageFont. The bigger the number is, the more details you would see in the output and the bigger the output image would be. Our program handles the pixel reduction using a scaling factor SC between 0(exclusive) and 1(inclusive). So it’s not a bad idea to reduce the picture resolution before the conversion. As a simple example, to draw a small square using symbols of shape ratio 3:4 (width:height), we need to use 4 columns and 3 rows.Īnother thing to notice is that a symbol is much larger than a pixel(px). To avoid deformation, we need to carefully calculate how many symbols to use in each row and column in the new image. If we simply replace image pixels with symbols one-to-one, we will get a picture with distorted width and height. One challenge as you can see from above is that symbols are not necessarily square. It’s easy to illustrate a range of grayscale with symbol patches. Symbols naturally have different degrees of darkness because of their shapes. open ( "LincolnPortrait.jpeg" ) Step 2: resize the pictureĪSCII art is composed of symbols. from PIL import Image #open the input file Image supports a variety of image types including bmp, jpeg, gif, eps. At this step, we only identify the image but not actually load it into memory. The Image class in PIL (Pillow) provides a lazy function Image.open to open an image file. ![]() #Python ascii art installPrerequisits: Install Python 3 and libraries Pillow, Colour and Numpy Step 1: load a picture Examples:(from left to right) Input, Output1:gradient color black to blue, Output2: gradient color blue to pink ![]() Once you understand how sample codes work, you can change fonts/symbols and try out different colors, to turn your favorite picture into your unique signature artwork. Numpy makes the grayscale conversion easy. Colour gives us the beautiful gradient color. Pillow handles all the image processing - reading, resizing, writing. We’ll use a few Python libraries– Pillow, Colour and Numpy. #Python ascii art how toMaking ASCII art is much easier than it looks, and I’m going to show you how to do it in Python! The great thing about coded artwork is that you can easily give it your own personal touch! It’s a stylish decoration that looks great on mugs, t-shirts, and even curtains. Printed ASCII art is a fabulous gift for a geeky friend. ![]()
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