Initial commit

2bit.py

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+bits = 2
+outfile = "out.png"
+print_debug = False
+
+# End of the configuration section
+
+import PIL.Image, sys
+def debug(*args):
+    if print_debug: print(*args)
+def binprecision(start, bits, length):
+    end = bin(int(start))[2:]
+    while len(end) < bits:
+        end = '0' + end
+    return end[:length]
+image = PIL.Image.open(sys.argv[1])
+mode = "L"
+if bits == 1:
+    mode = "1"
+out = PIL.Image.new(mode,image.size)
+colors = [int(i*255.0/(2**bits-1)) for i in range(2**bits)]
+debug(image.width, image.height)
+for x in range(image.width):
+    for y in range(image.height):
+        pos = (x,y)
+        color = image.getpixel(pos)
+        debug(color)
+        if len(color) == 4:
+            color = color[:3] # Exclude alpha layer
+        color = float(sum(color))/len(color)
+        debug(color)
+        debug(bin(int(color)))
+        index = int(binprecision(color, 8, bits), 2)
+        debug(index)
+        out.putpixel(pos, colors[index])
+        debug()
+    debug("------------")
+    debug()
+out.save(outfile)

README.md

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+# Image downsampling converter
+
+Inspired by [2bit](http://2bit.neocities.org/)
+
+Usage: `python3 2bit.py my_image_file.png`
+
+Warning: Will probably turn transparency black
+
+You can change the number of bits at the top of the file for different results. 1 would be just black and white, while 8 would be the original image in greyscale.