#!/usr/bin/env python
-"""Usage: imago.py file"""
-import Image
-import im_debug
+"""Go image recognition"""
+
import sys
+import os
+import math
+import argparse
-def main(argv=None):
+try:
+ import Image, ImageDraw
+except ImportError, msg:
+ print >>sys.stderr, msg
+ sys.exit(1)
+
+import im_debug
+import filters
+from hough import Hough
+
+Saving_dir = ''
+Saving_num = 0
+
+def main():
"""Main function of the program."""
- if argv is None:
- argv = sys.argv[1]
+
+ 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
- #TODO exception on empty argument
- #TODO exception on file error
- image = Image.open(argv)
- im_debug.show(image, "Original image")
+ try:
+ 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")
+
+ im_c = filters.components(im_h2)
+ if show_all:
+ do_something(im_c, "components centers")
+
+ """
+ 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_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)
+ 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__':
- main()
+ sys.exit(main())
projekty / imago.git / blobdiff