X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/3c7eb1408a615d8bdc5e85c04f90c45d620d1e48..790d9cb736d8a5e30b6fafb0e4c00b7495199f03:/imago.py

diff --git a/imago.py b/imago.py
index 0fee41f..45d165c 100755
--- a/imago.py
+++ b/imago.py
@@ -1,47 +1,161 @@
 #!/usr/bin/env python
-"""Usage: imago.py file"""
+
+"""Go image recognition"""
 
 import sys
-import Image
+import os
+import math
+import argparse
+
+try:
+    import Image, ImageDraw
+except ImportError, msg:
+    print >>sys.stderr, msg
+    sys.exit(1)
+
 import im_debug
-import filter
-import hough
+import filters
+from hough import Hough
 
-class UsageError(Exception):
-    def __init__(self, msg):
-        self.msg = msg
+Saving_dir = ''
+Saving_num = 0
 
-def main(*argv):
+def main():
     """Main function of the program."""
+    
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('file', metavar='file', nargs=1,
+                        help="image to anlyse")
+    parser.add_argument('-w', type=int, default=640,
+                        help="scales image to the specified width before analysis")
+    parser.add_argument('-d', '--debug', dest='show_all', action='store_true',
+                        help="show every step of the computation")
+    parser.add_argument('-s', '--save', dest='do_something', action='store_const',
+                        const=image_save, default=im_debug.show,
+                        help="save images instead of displaying them")
+    args = parser.parse_args()
+
+    show_all = args.show_all
+    do_something = args.do_something    
+
     try:
-        if argv is ():
-            argv = sys.argv[1:]
-            if argv == []:
-                raise UsageError('Missing filename')
-        if "--help" in argv:
-                print __doc__
-                return 0    
-    except UsageError, err:
-        print >>sys.stderr, err.msg, "(\"imago.py --help\" for help)"
-        return 2
-
-    #TODO exception on file error
-    image = Image.open(argv[0])
-    #im_debug.show(image, "original image")
+        image = Image.open(args.file[0])
+    except IOError, msg:
+        print >>sys.stderr, msg
+        return 1
+    if image.size[0] > args.w:
+        image = image.resize((args.w, int((float(args.w)/image.size[0]) *
+                              image.size[1])), Image.ANTIALIAS)
+    global Saving_dir
+    Saving_dir = "saved/" + args.file[0][:-4] + "_" + str(image.size[0]) + "/"
+    
+    if show_all:
+        do_something(image, "original image")
 
     im_l = image.convert('L')
-    #im_debug.show(im_l, "ITU-R 601-2 luma transform")
+    if show_all:
+        do_something(im_l, "ITU-R 601-2 luma transform")
+
+    im_edges = filters.edge_detection(im_l)
+    if show_all:    
+        do_something(im_edges, "edge detection")
+
+    im_h = filters.high_pass(im_edges, 100)
+    if show_all:
+        do_something(im_h, "high pass filters")
+    
+    hough1 = Hough(im_h.size)
+    im_hough = hough1.transform(im_h)
+    if show_all:
+        do_something(im_hough, "hough transform")
+		
+	im_hough = filters.peaks(im_hough)
+    if show_all:
+        do_something(im_hough, "peak extraction")
+
+    im_h2 = filters.high_pass(im_hough, 120)
+    if show_all:
+        do_something(im_h2, "second high pass filters")
+
+    hough2 = Hough(im_h2.size)
+    im_hough2 = hough2.transform(im_h2)
+    if show_all:
+        do_something(im_hough2, "second hough transform")
+
+    im_h3 = filters.high_pass(im_hough2, 120)
+    if show_all:
+        do_something(im_h3, "third high pass filters")
+     
+    lines = hough2.find_angle_distance(im_h3)
 
-    im_edges = filter.edge_detection(im_l)
-    #im_debug.show(im_edges, "edge detection")
+    im_lines = Image.new('L', im_h2.size)
 
-    im_h = filter.high_pass(im_edges, 80)
-    #im_debug.show(im_h, "high pass filter")
+    draw = ImageDraw.Draw(im_lines)
 
-    im_hough = hough.transform(im_h)
-    im_debug.show(im_hough, "hough transform")
+    for line in lines:
+        draw.line(line_from_angl_dist(line, im_h2.size), fill=255)
+    if show_all:
+        do_something(im_lines, "lines")
+
+    im_c = combine(im_h2, im_lines)
+    if show_all:
+        do_something(im_c, "first hough x lines")
+
+    collapse(im_c)
+    if show_all:
+        do_something(im_c, "optimalised hough")
+
+    lines = hough1.all_lines(im_c)
+    draw = ImageDraw.Draw(image)
+    for line in lines:
+        draw.line(line_from_angl_dist(line, image.size), fill=(120, 255, 120))
+
+    do_something(image, "the grid")
 
     return 0
 
+def image_save(image, title=''):
+    global Saving_dir
+    global Saving_num
+    filename = Saving_dir + "{0:0>2}".format(Saving_num) + '.jpg'
+    if not os.path.isdir(Saving_dir):
+        os.makedirs(Saving_dir)
+    image.save(filename, 'JPEG')
+    Saving_num += 1
+
+def collapse(image):
+    #HACK
+    im_l = image.load()
+    last = False
+    for y in xrange(image.size[1]):
+        for x in xrange(image.size[0]):
+            if im_l[x, y] and last:
+                im_l[x, y] = 0
+                last = False
+            elif im_l[x, y]:
+                last = True
+            elif last:
+                last = False
+
+def combine(image1, image2):
+    im_l1 = image1.load()
+    im_l2 = image2.load()
+
+    im_n = Image.new('L', image1.size)
+    im_nl = im_n.load()
+
+    for x in xrange(image1.size[0]):
+        for y in xrange(image1.size[1]):
+            if im_l1[x, y] and im_l2[x, y]:
+                im_nl[x, y] = 255
+    return im_n
+
+def line_from_angl_dist((angle, distance), size):
+    x1 = - size[0] / 2
+    y1 = int(round((x1 * math.sin(angle) - distance)/math.cos(angle))) + size[1] / 2
+    x2 = size[0] / 2 
+    y2 = int(round((x2 * math.sin(angle) - distance)/math.cos(angle))) + size[1] / 2
+    return [(0, y1), (size[0] - 1, y2)]
+
 if __name__ == '__main__':
     sys.exit(main())