X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/7a92cb7d12234e559c0ec6f5e3e393f8350ef727..7f4334b61a001eb1a2df878f804a9f6771263709:/src/gridf3.py diff --git a/src/gridf3.py b/src/gridf3.py index 34e2315..4f2a1e3 100644 --- a/src/gridf3.py +++ b/src/gridf3.py @@ -9,13 +9,10 @@ from geometry import l2ad # TODO comments, refactoring, move methods to appropriate modules -def plot_line(line, c): - points = linef.line_from_angl_dist(line, (520, 390)) +def plot_line(line, c, size): + points = linef.line_from_angl_dist(line, size) pyplot.plot(*zip(*points), color=c) -def plot_line_g((a, b, c), max_x): - find_y = lambda x: - (c + a * x) / b - pyplot.plot([0, max_x], [find_y(0), find_y(max_x)], color='b') class Diagonal_model: def __init__(self, data): @@ -103,9 +100,14 @@ def gen_corners(d1, d2): if c1 in d2.points: continue pass - c2 = [p for p in d2.points if p in c1.l1.points][0] - c3 = [p for p in d1.points if p in c2.l2.points][0] - c4 = [p for p in d2.points if p in c3.l1.points][0] + try: + c2 = [p for p in d2.points if p in c1.l1.points][0] + c3 = [p for p in d1.points if p in c2.l2.points][0] + c4 = [p for p in d2.points if p in c3.l1.points][0] + except IndexError: + continue + # there is not a corresponding intersection + # TODO create an intersection? try: yield manual.lines(map(lambda p: p.to_tuple(), [c2, c1, c3, c4])) except TypeError: @@ -150,6 +152,28 @@ def find(lines, size, l1, l2, bounds, hough, show_all, do_something, logger): diag2 = Line(line2) diag2.points = ransac.filter_near(data, diag2, 2) + if show_all: + import matplotlib.pyplot as pyplot + import Image + + def plot_line_g((a, b, c), max_x): + find_y = lambda x: - (c + a * x) / b + pyplot.plot([0, max_x], [find_y(0), find_y(max_x)], color='b') + + fig = pyplot.figure(figsize=(8, 6)) + plot_line_g(diag1, size[0]) + plot_line_g(diag2, size[0]) + pyplot.scatter(*zip(*sum(points, []))) + pyplot.scatter([center[0]], [center[1]], color='r') + pyplot.xlim(0, size[0]) + pyplot.ylim(0, size[1]) + fig.canvas.draw() + size_f = fig.canvas.get_width_height() + buff = fig.canvas.tostring_rgb() + image_p = Image.fromstring('RGB', size_f, buff, 'raw') + do_something(image_p, "finding diagonal") + + grids = list(gen_corners(diag1, diag2)) sc, grid = min(map(lambda g: (score(sum(g, []), data), g), grids))