Initial commit

2018-03-27 10:45:54 -03:00
commit f4c77886bd
14 changed files with 3154 additions and 0 deletions
--- a/test3.py
+++ b/test3.py
@@ -0,0 +1,43 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+from PIL import Image, ImageChops, ImageDraw
+
+def quantizetopalette(silf, palette, dither=False):
+    """Convert an RGB or L mode image to use a given P image's palette."""
+
+    silf.load()
+
+    # use palette from reference image
+    palette.load()
+    if palette.mode != "P":
+        raise ValueError("bad mode for palette image")
+    if silf.mode != "RGB" and silf.mode != "L":
+        raise ValueError(
+            "only RGB or L mode images can be quantized to a palette"
+            )
+    im = silf.im.convert("P", 1 if dither else 0, palette.im)
+    # the 0 above means turn OFF dithering
+
+    # Later versions of Pillow (4.x) rename _makeself to _new
+    try:
+        return silf._new(im)
+    except AttributeError:
+        return silf._makeself(im)
+
+
+BGR233 = [0, 0, 0, 0, 0, 85, 0, 0, 170, 0, 0, 255, 36, 0, 0, 36, 0, 85, 36, 0, 170, 36, 0, 255, 73, 0, 0, 73, 0, 85, 73, 0, 170, 73, 0, 255, 109, 0, 0, 109, 0, 85, 109, 0, 170, 109, 0, 255, 146, 0, 0, 146, 0, 85, 146, 0, 170, 146, 0, 255, 182, 0, 0, 182, 0, 85, 182, 0, 170, 182, 0, 255, 219, 0, 0, 219, 0, 85, 219, 0, 170, 219, 0, 255, 255, 0, 0, 255, 0, 85, 255, 0, 170, 255, 0, 255, 0, 36, 0, 0, 36, 85, 0, 36, 170, 0, 36, 255, 36, 36, 0, 36, 36, 85, 36, 36, 170, 36, 36, 255, 73, 36, 0, 73, 36, 85, 73, 36, 170, 73, 36, 255, 109, 36, 0, 109, 36, 85, 109, 36, 170, 109, 36, 255, 146, 36, 0, 146, 36, 85, 146, 36, 170, 146, 36, 255, 182, 36, 0, 182, 36, 85, 182, 36, 170, 182, 36, 255, 219, 36, 0, 219, 36, 85, 219, 36, 170, 219, 36, 255, 255, 36, 0, 255, 36, 85, 255, 36, 170, 255, 36, 255, 0, 73, 0, 0, 73, 85, 0, 73, 170, 0, 73, 255, 36, 73, 0, 36, 73, 85, 36, 73, 170, 36, 73, 255, 73, 73, 0, 73, 73, 85, 73, 73, 170, 73, 73, 255, 109, 73, 0, 109, 73, 85, 109, 73, 170, 109, 73, 255, 146, 73, 0, 146, 73, 85, 146, 73, 170, 146, 73, 255, 182, 73, 0, 182, 73, 85, 182, 73, 170, 182, 73, 255, 219, 73, 0, 219, 73, 85, 219, 73, 170, 219, 73, 255, 255, 73, 0, 255, 73, 85, 255, 73, 170, 255, 73, 255, 0, 109, 0, 0, 109, 85, 0, 109, 170, 0, 109, 255, 36, 109, 0, 36, 109, 85, 36, 109, 170, 36, 109, 255, 73, 109, 0, 73, 109, 85, 73, 109, 170, 73, 109, 255, 109, 109, 0, 109, 109, 85, 109, 109, 170, 109, 109, 255, 146, 109, 0, 146, 109, 85, 146, 109, 170, 146, 109, 255, 182, 109, 0, 182, 109, 85, 182, 109, 170, 182, 109, 255, 219, 109, 0, 219, 109, 85, 219, 109, 170, 219, 109, 255, 255, 109, 0, 255, 109, 85, 255, 109, 170, 255, 109, 255, 0, 146, 0, 0, 146, 85, 0, 146, 170, 0, 146, 255, 36, 146, 0, 36, 146, 85, 36, 146, 170, 36, 146, 255, 73, 146, 0, 73, 146, 85, 73, 146, 170, 73, 146, 255, 109, 146, 0, 109, 146, 85, 109, 146, 170, 109, 146, 255, 146, 146, 0, 146, 146, 85, 146, 146, 170, 146, 146, 255, 182, 146, 0, 182, 146, 85, 182, 146, 170, 182, 146, 255, 219, 146, 0, 219, 146, 85, 219, 146, 170, 219, 146, 255, 255, 146, 0, 255, 146, 85, 255, 146, 170, 255, 146, 255, 0, 182, 0, 0, 182, 85, 0, 182, 170, 0, 182, 255, 36, 182, 0, 36, 182, 85, 36, 182, 170, 36, 182, 255, 73, 182, 0, 73, 182, 85, 73, 182, 170, 73, 182, 255, 109, 182, 0, 109, 182, 85, 109, 182, 170, 109, 182, 255, 146, 182, 0, 146, 182, 85, 146, 182, 170, 146, 182, 255, 182, 182, 0, 182, 182, 85, 182, 182, 170, 182, 182, 255, 219, 182, 0, 219, 182, 85, 219, 182, 170, 219, 182, 255, 255, 182, 0, 255, 182, 85, 255, 182, 170, 255, 182, 255, 0, 219, 0, 20, 219, 85, 0, 219, 170, 0, 219, 255, 36, 219, 0, 36, 219, 85, 36, 219, 170, 36, 219, 255, 73, 219, 0, 73, 219, 85, 73, 219, 170, 73, 219, 255, 109, 219, 0, 109, 219, 85, 109, 219, 170, 109, 219, 255, 146, 219, 0, 146, 219, 85, 146, 219, 170, 146, 219, 255, 182, 219, 0, 182, 219, 85, 182, 219, 170, 182, 219, 255, 219, 219, 0, 219, 219, 85, 219, 219, 170, 219, 219, 255, 255, 219, 0, 255, 219, 85, 255, 219, 170, 255, 219, 255, 0, 255, 0, 0, 255, 85, 0, 255, 170, 0, 255, 255, 36, 255, 0, 36, 255, 85, 36, 255, 170, 36, 255, 255, 73, 255, 0, 73, 255, 85, 73, 255, 170, 73, 255, 255, 109, 255, 0, 109, 255, 85, 109, 255, 170, 109, 255, 255, 146, 255, 0, 146, 255, 85, 146, 255, 170, 146, 255, 255, 182, 255, 0, 182, 255, 85, 182, 255, 170, 182, 255, 255, 219, 255, 0, 219, 255, 85, 219, 255, 170, 219, 255, 255, 255, 255, 0, 255, 255, 85, 255, 255, 170, 255, 255, 255]
+
+im = Image.open("/Users/radix/Downloads/IMG_20170929_185311.jpg")
+print(im)
+
+p = Image.new("P",(16,16))
+p.putpalette(BGR233)
+
+#im2 = im.quantize(palette=p)
+
+im2 = quantizetopalette(im, p, dither=False)
+
+im2.show()
+
+print(im2.getpalette() == BGR233)