#!/usr/bin/env python
-"""Usage:
-imago.py file
- analyses the given file
-imago.py file --debug
- shows every step of the computation
-imago.py --help
- shows this help
-
-"""
+"""Go image recognition"""
import sys
import os
import math
+import argparse
+from operator import itemgetter
try:
import Image, ImageDraw
except ImportError, msg:
- print >>sys.stderr, msg
+ print >> sys.stderr, msg
sys.exit(1)
import im_debug
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."""
- show_all = False
- do_something = im_debug.show
-
- try:
- if argv is ():
- argv = sys.argv[1:]
- if argv == []:
- raise UsageError('Missing filename')
- if "--help" in argv:
- print __doc__
- return 0
- if "--debug" in argv:
- show_all = True
- if "--save" in argv:
- global Saving_dir
- Saving_dir = "saved/" + argv[0][:-4] + "/"
- do_something = image_save
- except UsageError, err:
- print >>sys.stderr, err.msg, "(\"imago.py --help\" for help)"
- return 2
+ 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:
- image = Image.open(argv[0])
+ image = Image.open(args.file[0])
except IOError, msg:
- print >>sys.stderr, msg
+ print >> sys.stderr, msg
return 1
+ if image.mode == 'P':
+ image = image.convert('RGB')
+
+ 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")
if show_all:
do_something(im_l, "ITU-R 601-2 luma transform")
+ if verbose:
+ print >> sys.stderr, "edge detection"
+
im_edges = filters.edge_detection(im_l)
if show_all:
do_something(im_edges, "edge detection")
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")
- hough2 = Hough(im_h2.size)
+ im_h2 = filters.components2(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_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 = 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")
+ do_something(im_h3, "third high pass filter")
- lines = hough2.find_angle_distance(im_h3)
-
- im_lines = Image.new('L', im_h2.size)
-
- draw = ImageDraw.Draw(im_lines)
-
- 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)
+ im_h3 = filters.components(im_h3)
if show_all:
- do_something(im_c, "first hough x lines")
+ do_something(im_h3, "half centers")
+
+ if verbose:
+ print >> sys.stderr, "finding the grid"
+
+ lines_m = hough2.all_lines_h(im_h3)
+ lines = []
+ im_c = im_h2.convert('RGB').convert('RGB', (1, 0.5, 0.5, 0))
+ draw_c = ImageDraw.Draw(im_c)
+
+ for line_l in lines_m:
+ im_line = Image.new('L', im_h2.size)
+ draw = ImageDraw.Draw(im_line)
+ line_points = set()
+ for line in line_l:
+ 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, im_line):
+ line_points.add(p)
+ for point in line_points:
+ draw_c.point(point, fill=(120, 255, 120))
+ lines.append(hough1.lines_from_list(line_points))
- collapse(im_c)
if show_all:
- do_something(im_c, "optimalised hough")
+ do_something(im_c, "hough x lines")
- lines = hough1.all_lines(im_c)
- draw = ImageDraw.Draw(image)
- for line in 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, "the grid")
+
+ 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])
- do_something(image, "the grid")
+ if show_all:
+ do_something(image_g, "intersections")
return 0
+def stone_color(image, (x, y)):
+ suma = 0.
+ for i in range(-2, 3):
+ for j in range(-2, 3):
+ try:
+ suma += sum(image.getpixel((x + i, y + j)))
+ except IndexError:
+ pass
+ 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
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()
+ on_both = []
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
+ on_both.append((x, y))
+ return on_both
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
+ 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
+ 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 sorted(lines[0], key=itemgetter(1)):
+ 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))
+ if (-size[0] / 2 < x < size[0] / 2 and
+ -size[1] / 2 < y < size[1] / 2):
+ line.append((int(x + size[0] / 2), int(y + size[1] / 2)))
+ intersections.append(line)
+ return intersections
+
if __name__ == '__main__':
sys.exit(main())
projekty / imago.git / blobdiff