From: Tomas Musil <tomik.musil@gmail.com>
Date: Sat, 19 Jul 2014 20:00:34 +0000 (+0200)
Subject: cut-out experiment
X-Git-Url: http://git.tomasm.cz/imago.git/commitdiff_plain/refs/heads/intrsc

cut-out experiment
---

diff --git a/src/intrsc.py b/src/intrsc.py
index 62f1498..a2e0cd7 100644
--- a/src/intrsc.py
+++ b/src/intrsc.py
@@ -56,6 +56,47 @@ def board(image, intersections, show_all, do_something, logger):
 #    if show_all:
 #        do_something(image_c, "white balance")
     image_c = image
+
+    image_l = image_c.load()
+    import Image, sys
+    new_image = Image.new('RGB', (19 * 7, 19 * 7))
+    image_nl = new_image.load()
+    new_image2 = Image.new('L', (19 * 7, 19 * 7))
+    image_nll = new_image2.load()
+    y = 3
+    for line in intersections:
+        x = 3
+        for (xi, yi) in line:
+            for xx in [-3,-2,-1,0,1,2,3]:
+                for yy in [-3,-2,-1,0,1,2,3]:
+                    try:
+                        image_nl[x + xx, y + yy] = image_l[xi + xx, yi + yy]
+                    except IndexError:
+                        pass
+            for xx in [-2,-1,0,1,2]:
+                for yy in [-2,-1,0,1,2]:
+                    try:
+                        z = xi + xx
+                        w = yi + yy
+                        luma = lambda ((r,g,b)): colorsys.rgb_to_hls(r / 255., g /
+                                                                   255. ,b /
+                                                                   255.)[1]
+                        image_nll[x + xx, y + yy] = (luma(image_l[z, w]) * (-8)  +
+                                                     luma(image_l[z - 1, w - 1]) +
+                                                     luma(image_l[z - 1, w]) +
+                                                     luma(image_l[z - 1, w + 1]) +
+                                                     luma(image_l[z, w - 1]) +
+                                                     luma(image_l[z, w + 1]) +
+                                                     luma(image_l[z + 1, w - 1]) +
+                                                     luma(image_l[z + 1, w]) +
+                                                     luma(image_l[z + 1, w + 1])) * 255
+                    except IndexError:
+                        pass
+            x += 7
+        y += 7
+    do_something(new_image, "intersections")
+    do_something(new_image2, "intersections")
+
     
     board_raw = []
     
@@ -92,10 +133,10 @@ def board(image, intersections, show_all, do_something, logger):
     #min_s1 = min(s[1] for s in board_raw)
     #norm_s1 = lambda x: (x - min_s1) / (max_s1 - min_s1)
     #color_data = [(norm_s0(s[0]), norm_s1(s[1])) for s in board_raw]
-    color_data = [(s[0], s[1]) for s in board_raw]
+    color_data = [(s[0], s[1],s[4]) for s in board_raw]
 
-    clusters, score = k_means.cluster(3, 2,zip(color_data, range(len(color_data))),
-                               [[0., 0.5], [0.5, 0.5], [1., 0.5]])
+    clusters, score = k_means.cluster(3, 3,zip(color_data, range(len(color_data))),
+                               [[0., 0.5,0.0], [0.5, 0.5, 0.], [1., 0.5, 0.]])
 #    clusters1, score1 = k_means.cluster(1, 2,zip(color_data, range(len(color_data))),
 #                               [[0.5, 0.5]])
 #    clusters2, score2 = k_means.cluster(2, 2,zip(color_data, range(len(color_data))),
@@ -207,4 +248,28 @@ def stone_color_raw(image, (x, y)):
              sum(p[2] for p in points) / norm)
     hue, luma, saturation = colorsys.rgb_to_hls(*color)
     color = colorsys.hls_to_rgb(hue, 0.5, 1.)
-    return luma, saturation, color, hue
+
+    der = 0
+    image_l = image.load()
+    for xx in [-2,-1,0,1,2]:
+        for yy in [-2,-1,0,1,2]:
+            try:
+                z = x + xx
+                w = y + yy
+                lumal = lambda ((r,g,b)): colorsys.rgb_to_hls(r / 255., g /
+                                                           255. ,b /
+                                                           255.)[1]
+                der += (lumal(image_l[z, w]) * (-8)  +
+                         lumal(image_l[z - 1, w - 1]) +
+                         lumal(image_l[z - 1, w]) +
+                         lumal(image_l[z - 1, w + 1]) +
+                         lumal(image_l[z, w - 1]) +
+                         lumal(image_l[z, w + 1]) +
+                         lumal(image_l[z + 1, w - 1]) +
+                         lumal(image_l[z + 1, w]) +
+                         lumal(image_l[z + 1, w + 1]))
+            except IndexError:
+                pass
+
+    der = max(der / 36., 0)
+    return luma, saturation, color, hue, der