X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/3790db9ab7a4871faf0b445c8283c7f0b7b30a22..45b6aba3bbf3aea1bacad077387ae77a1deb1a3c:/imago_pack/linef.py?ds=sidebyside

diff --git a/imago_pack/linef.py b/imago_pack/linef.py
index eda82ce..47952c2 100644
--- a/imago_pack/linef.py
+++ b/imago_pack/linef.py
@@ -1,4 +1,4 @@
-"""Go image recognition lines-finding module"""
+"""Lines finding module."""
 
 from functools import partial
 import sys
@@ -13,72 +13,71 @@ except ImportError, msg:
 import filters
 from hough import Hough
 
-def find_lines(image, show_all, do_something, verbose):
-
-    if verbose:
-        print >> sys.stderr, "preprocessing"
-
-    if show_all:
-        do_something(image, "original image")
-
+def prepare(image, show_image, logger):
+    # TODO comment
     im_l = image.convert('L')
-    if show_all:
-        do_something(im_l, "ITU-R 601-2 luma transform")
-
-    if verbose:
-        print >> sys.stderr, "edge detection"
+    show_image(im_l, "ITU-R 601-2 luma transform")
 
+    logger("edge detection")
     im_edges = filters.edge_detection(im_l)
-    if show_all:    
-        do_something(im_edges, "edge detection")
+    show_image(im_edges, "edge detection")
 
     im_h = filters.high_pass(im_edges, 100)
-    if show_all:
-        do_something(im_h, "high pass filters")
-    
-    if verbose:
-        print >> sys.stderr, "hough transform"
+    show_image(im_h, "high pass filters")
 
-    im_hough = Hough.Transform(im_h)
-    if show_all:
-        do_something(im_hough.image, "hough transform")
+    return im_h
+ 
+def transform(image, hough, show_image):
+    # TODO comment
+    im_hough = hough.transform(image)
+    show_image(im_hough, "hough transform")
 
    # im_hough.image = filters.peaks(im_hough.image)
-   # if show_all:
-   #     do_something(im_hough.image, "peak extraction")
+   # show_image(im_hough.image, "peak extraction")
                
-    im_h2 = im_hough.apply_filter(partial(filters.high_pass, height=96))
-    if show_all:
-        do_something(im_h2.image, "second high pass filters")
+    im_h2 = filters.high_pass(im_hough, 96)
+    show_image(im_h2, "second high pass filters")
+
+    im_h2 = filters.components2(im_h2)
+    show_image(im_h2, "components centers")
 
-    im_h2 = im_h2.apply_filter(filters.components2)
-    if show_all:
-        do_something(im_h2.image, "components centers")
+    return im_h2
+
+def find_lines(image, show_image, logger):
+    """Find lines in the *image*."""
+    # TODO refactor into smaller functions
+    
+    logger("preprocessing")
+    show_image(image, "original image")
+
+    im_h = prepare(image, show_image, logger)
+
+    hough = Hough.default(im_h)
+
+    logger("hough transform")
+    
+    im_h2 = transform(im_h, hough, show_image)
 
-    if verbose:
-        print >> sys.stderr, "second hough transform"
+    logger("second hough transform")
 
     # im_hough might be used instead im_h2, but at the moment it brings a lot of
     # noise to the second transform, which later confuses the center-finding
     # mechanism (which is not very robust yet)
-    im_hough2 = Hough.Transform(im_h2.image)
-    if show_all:
-        do_something(im_hough2.image, "second hough transform")
+    hough2 = Hough.default(im_h2)
+    im_hough2 = hough2.transform(im_h2)
+    show_image(im_hough2, "second hough transform")
 
-    im_h3 = im_hough2.apply_filter(partial(filters.high_pass, height=120))
-    if show_all:
-        do_something(im_h3.image, "third high pass filter")
+    im_h3 = filters.high_pass(im_hough2, 120)
+    show_image(im_h3, "third high pass filter")
      
-    im_h3 = im_h3.apply_filter(filters.components)
-    if show_all:
-        do_something(im_h3.image, "half centers")
+    im_h3 = filters.components(im_h3)
+    show_image(im_h3, "half centers")
 
-    if verbose:
-        print >> sys.stderr, "finding the grid"
+    logger("finding the lines")
 
-    lines_m = im_h3.all_lines_h()
+    lines_m = hough2.all_lines_h(im_h3)
     lines = []
-    im_c = im_h2.image.convert('RGB').convert('RGB', (1, 0.5, 0.5, 0))
+    im_c = im_h2.convert('RGB').convert('RGB', (1, 0.5, 0.5, 0))
     draw_c = ImageDraw.Draw(im_c)
     bounds = []
 
@@ -90,28 +89,27 @@ def find_lines(image, show_all, do_something, verbose):
             draw.line(line_from_angl_dist(line, im_h2.size), fill=255, width=7)
             draw_c.line(line_from_angl_dist(line, im_c.size),
                         fill=(70, 70, 70), width=7)
-            for p in combine(im_h2.image, im_line):
+            for p in combine(im_h2, im_line):
                 line_points.add(p)
         for point in line_points:
             draw_c.point(point, fill=(120, 255, 120))
-        lines.append(im_hough.lines_from_list(line_points))
+        lines.append(hough.lines_from_list(line_points))
         line_points = list(line_points)
         line_points.sort()
         bounds += [line_points[0], line_points[-1]]
 
-    if show_all:
-        do_something(im_c, "hough x lines")
+    show_image(im_c, "hough x lines")
 
     image_g = image.copy()
     draw = ImageDraw.Draw(image_g)
     for line in [l for s in lines for l in s]:
         draw.line(line_from_angl_dist(line, image.size), fill=(120, 255, 120))
-    if show_all:
-        do_something(image_g, "lines")
+    show_image(image_g, "lines")
    
-    return lines, lines_m[0][0], lines_m[1][0], bounds, im_hough
+    return lines, lines_m[0][0], lines_m[1][0], bounds, hough
 
 def combine(image1, image2):
+    """Return a list of points that are present in both images."""
     im_l1 = image1.load()
     im_l2 = image2.load()
 
@@ -124,6 +122,8 @@ def combine(image1, image2):
     return on_both
 
 def line_from_angl_dist((angle, distance), size):
+    """Take *angle* and *distance* (from the center of the image) of a line and
+    size of the image. Return the line represented by two points."""
     if pi / 4 < angle < 3 * pi / 4:
         y1 = - size[1] / 2
         x1 = int(round((y1 * cos(angle) + distance) / sin(angle))) + size[0] / 2