camera resolution option

[imago.git] / imago.py

diff --git a/imago.py b/imago.py
index 94f90a0..1cda8ba 100755 (executable)
--- a/imago.py
+++ b/imago.py
@@ -1,39 +1,201 @@
 #!/usr/bin/env python
 #!/usr/bin/env python

-"""Usage: imago.py file"""

 
 

-import Image
-import im_debug
+"""Go image recognition"""
+

 import sys
 import sys

-from filter import filter
+import os
+import math
+import argparse
+from operator import itemgetter
+
+try:
+    import Image, ImageDraw
+except ImportError, msg:
+    print >> sys.stderr, msg
+    sys.exit(1)
+
+import im_debug
+import filters
+from hough import Hough

 
 

-class Usage(Exception):
-    def __init__(self, msg):
-        self.msg = msg
+Saving_dir = ''
+Saving_num = 0

 
 

-def main(argv=None):
+def main():

     """Main function of the program."""
     """Main function of the program."""

+    
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('file', metavar='file', nargs=1,
+                        help="image to analyse")
+    parser.add_argument('-w', type=int, default=640,
+                        help="scale 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")
+    parser.add_argument('-v', '--verbose', dest='verbose', action='store_true',
+                        help="report progress")
+    args = parser.parse_args()
+
+    show_all = args.show_all
+    do_something = args.do_something
+    verbose = args.verbose
+

     try:
     try:

-        if argv is None:
-            try:
-                argv = sys.argv[1]
-            except IndexError:
-                raise Usage('no arguments given')
-    except Usage, err:
-        print >>sys.stderr, err.msg
-        print >>sys.stderr, "for help use --help"
-        return 2
-
-    #TODO exception on empty argument
-    #TODO exception on file error
-    image = Image.open(argv)
-    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 verbose:
+        print >> sys.stderr, "preprocessing"
+
+    if show_all:
+        do_something(image, "original image")

 
     im_l = image.convert('L')
 
     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 = filter(im_l)
-    im_debug.show(im_edges, "edge detection")
+    if verbose:
+        print >> sys.stderr, "edge detection"

 
 

-if __name__ == '__main__':
-    main() #sys.exit(main())
+    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")
+    
+    if verbose:
+        print >> sys.stderr, "hough transform"
+
+    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")
+
+    im_h2 = filters.components(im_h2)
+    if show_all:
+        do_something(im_h2, "components centers")
+
+    if verbose:
+        print >> sys.stderr, "second hough transform"
+
+    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 filter")
+     
+    im_h3 = filters.half_centers(im_h3)
+    if show_all:
+        do_something(im_h3, "half centers")
+
+    if verbose:
+        print >> sys.stderr, "finding the grid"
+
+    lines_m = hough2.all_lines(im_h3)
+    lines = []
+
+    for line in lines_m:
+        im_line = Image.new('L', im_h2.size)
+        draw = ImageDraw.Draw(im_line)
+        draw.line(line_from_angl_dist(line, im_h2.size), fill=255, width=5)
+        if show_all:
+            do_something(im_line, "line")
+        im_c = combine(im_h2, im_line)
+        if show_all:
+            do_something(im_c, "hough x lines")
+        lines.append(hough1.all_lines(im_c))
+
+    intersections = intersections_from_angl_dist(lines, image.size)
+    image_g = image.copy()
+    draw = ImageDraw.Draw(image_g)
+    for line in intersections:
+        for (x, y) in line:
+            draw.point((x , y), fill=(120, 255, 120))

     
     

+    for line in intersections:
+        print ' '.join([stone_color(image, intersection) for intersection in
+                       line])
+
+    if show_all:
+        do_something(image_g, "the grid")
+
+    return 0
+
+def stone_color(image, (x, y)):
+    suma = 0.
+    for i in range(-2, 3):
+        for j in range(-2, 3):
+            suma += sum(image.getpixel((x + i, y + j)))
+    suma /= 3 * 25
+    if suma < 55:
+        return 'B'
+    elif suma < 200: 
+        return '.'
+    else:
+        return 'W'
+
+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 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)]
+
+def intersections_from_angl_dist(lines, size):
+    intersections = []
+    for (angl1, dist1) in sorted(lines[1], key=itemgetter(1)):
+        line = []
+        for (angl2, dist2) in lines[0]:
+            if abs(angl1 - angl2) > 0.4:
+                x =  - ((dist2 / math.cos(angl2))-(dist1 / math.cos(angl1))) / (math.tan(angl1) - math.tan(angl2))
+                y = (math.tan(angl1) * x) - (dist1 / math.cos(angl1))
+                line.append((int(x + size[0] / 2), int(y + size[1] / 2)))
+        intersections.append(line)
+    return intersections
+
+if __name__ == '__main__':
+    sys.exit(main())