def to_general(line, size): # TODO comment (x1, y1), (x2, y2) = linef.line_from_angl_dist(line, size) return (y2 - y1, x1 - x2, x2 * y1 - x1 * y2)
def plot_line(line, c, size): """Plot a *line* with pyplot.""" points = linef.line_from_angl_dist(line, size) pyplot.plot(*zip(*points), color=c)
def find(lines, size, l1, l2, bounds, hough, show_all, do_something, logger): logger("finding the grid") v1 = V(*l1[0]) - V(*l1[1]) v2 = V(*l2[0]) - V(*l2[1]) a, b, c, d = [V(*a) for a in bounds] a = projection(a, l1, v1) b = projection(b, l1, v1) c = projection(c, l2, v2) d = projection(d, l2, v2) v1, v2 = hough.lines_from_list([a, b]) h1, h2 = hough.lines_from_list([c, d]) delta_v = ((l1[1][1] - l1[0][1]) * hough.dt) / l1[1][0] delta_h = ((l2[1][1] - l2[0][1]) * hough.dt) / l2[1][0] im_l = Image.new('L', size) dr_l = ImageDraw.Draw(im_l) for line in sum(lines, []): dr_l.line(line_from_angl_dist(line, size), width=1, fill=255) im_l = im_l.filter(MyGaussianBlur(radius=3)) #GaussianBlur is undocumented class, may not work in future versions of PIL im_l_s = im_l.tostring() #import time #start = time.time() f_dist = partial(job_4, im_l=im_l_s, v1=v1, v2=v2, h1=h1, h2=h2, dv=delta_v, dh=delta_h, size=size) x_v, y_v, x_h, y_h = Optimizer.optimize(4, 30, f_dist, 128, 512, 1) v1 = (v1[0] + x_v * delta_v, v1[1] + x_v) v2 = (v2[0] + y_v * delta_v, v2[1] + y_v) h1 = (h1[0] + x_h * delta_h, h1[1] + x_h) h2 = (h2[0] + y_h * delta_h, h2[1] + y_h) grid = get_grid([v1, v2], [h1, h2], size) grid_lines = [[l2ad(l, size) for l in grid[0]], [l2ad(l, size) for l in grid[1]]] #print time.time() - start ### Show error surface # # from gridf_analyzer import error_surface # error_surface(k, im_l_s, v1_i, v2_i, h1_i, h2_i, # delta_v, delta_h, x_v, y_v, x_h, y_h, size) ### if show_all: ### Show grid over lines # im_t = Image.new('RGB', im_l.size, None) im_t_l = im_t.load() im_l_l = im_l.load() for x in xrange(im_t.size[0]): for y in xrange(im_t.size[1]): im_t_l[x, y] = (im_l_l[x, y], 0, 0) im_t_d = ImageDraw.Draw(im_t) for l in grid[0] + grid[1]: im_t_d.line(l, width=1, fill=(0, 255, 0)) do_something(im_t, "lines and grid") # ### return grid, grid_lines
class Line: """Line with a list of important points that lie on it. This and the Point class in this module serves to implement a model of perspective plain -- a line has a list of intersections with other lines and each intersection has two lines that go through it. """ def __init__(self, (a, b, c)): self.a, self.b, self.c = (a, b, c) self.points = [] @classmethod def from_ad(cls, (a, d), size): p = linef.line_from_angl_dist((a, d), size) return cls(ransac.points_to_line(*p)) def __iter__(self): yield self.a yield self.b yield self.c def __len__(self): return 3 def __getitem__(self, key): if key == 0: return self.a elif key == 1: return self.b