X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/3f247835cf0314b09b329cb54132d6e529065fd1..16a9526d24fbdad7bbc544aeae9fd7ba067b3d91:/imago_pack/intrsc.py?ds=inline

diff --git a/imago_pack/intrsc.py b/imago_pack/intrsc.py
index 9fabcd5..1d4dd67 100644
--- a/imago_pack/intrsc.py
+++ b/imago_pack/intrsc.py
@@ -55,6 +55,8 @@ def board(image, lines, show_all, do_something):
 
     if show_all:
         import matplotlib.pyplot as pyplot
+        import Image
+        fig = pyplot.figure(figsize=(8, 6))
         pyplot.scatter(luma, saturation, 
                        color=[(s[2][0]/255.,
                                s[2][1]/255.,
@@ -62,13 +64,18 @@ def board(image, lines, show_all, do_something):
                                    for s in board_raw])
         pyplot.xlim(0,1)
         pyplot.ylim(0,1)
-        pyplot.show()
+        fig.canvas.draw()
+        size = fig.canvas.get_width_height()
+        buff = fig.canvas.tostring_rgb()
+        image_p = Image.fromstring('RGB', size, buff, 'raw')
+        do_something(image_p, "color distribution")
 
     clusters = k_means.cluster(3, 2,zip(zip(luma, saturation), range(len(luma))),
                                [[0., 0.5], [0.5, 0.5], [1., 0.5]])
    #clusters.sort(key=mean_luma)
 
     if show_all:
+        fig = pyplot.figure(figsize=(8, 6))
         pyplot.scatter([d[0][0] for d in clusters[0]], [d[0][1] for d in clusters[0]],
                                                  color=(1,0,0,1))
         pyplot.scatter([d[0][0] for d in clusters[1]], [d[0][1] for d in clusters[1]],
@@ -77,7 +84,11 @@ def board(image, lines, show_all, do_something):
                                                  color=(0,0,1,1))
         pyplot.xlim(0,1)
         pyplot.ylim(0,1)
-        pyplot.show()
+        fig.canvas.draw()
+        size = fig.canvas.get_width_height()
+        buff = fig.canvas.tostring_rgb()
+        image_p = Image.fromstring('RGB', size, buff, 'raw')
+        do_something(image_p, "color clustering")
 
     clusters[0] = [(p[1], 'B') for p in clusters[0]]
     clusters[1] = [(p[1], '.') for p in clusters[1]]