X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/52923c557013abe1b5945988b3c7713ad1a904bd..ba7978f0ac03e56190df7ed04f8a6e03c4193546:/imago.py diff --git a/imago.py b/imago.py index 1d364a5..511027b 100755 --- a/imago.py +++ b/imago.py @@ -1,22 +1,167 @@ #!/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())