def calibrate(star_to_pixel, image_size, annotate_image=None):
print "Loading database..."
db = stardb.StarDatabase(stardb.hip_star_gen('data/hip_main.dat'))
world_points = dict(
(star_name, tuple(10000. * numpy.array(db[star_name].vec).flatten()))
for star_name in star_to_pixel.keys())
image_points = dict((name, (pos[0] - (image_size[0] / 2),
(image_size[1] / 2) - pos[1]))
for name, pos in star_to_pixel.iteritems())
print "Solving"
return fit_lm.solve(world_points, [image_points],
annotate_images=[annotate_image],
initial_matrices=[numpy.identity(4)],
change_ps=True, change_bd=True, change_pos=False)
if args.xy_list is None and args.cat_file is None:
print "%f: Generating augmented xy-list" % time.clock()
args.xy_list = "temp.axy"
rc = subprocess.call(["augment-xylist",
"-i",
args.input_image,
"-o",
args.xy_list])
if rc != 0:
raise Exception("augment-xylist returned %u" % rc)
print "%f: Loading input image" % time.clock()
image = cv.LoadImage(args.input_image, True)
print "%f: Building star database..." % time.clock()
star_db = stardb.StarDatabase(stardb.hip_star_gen('data/hip_main.dat'))
print "%f: Building asterism database..." % time.clock()
ast_db = AsterismDatabase(asterisms_gen(star_db))
print "%f: Aligning image" % time.clock()
ps = args.pixel_scale * min(image.width, image.height) / 2592.
bd = args.barrel_distortion * (2592. / min(image.width, image.height))**2
cam_model = camera.BarrelDistortionCameraModel(ps, bd, image.width, image.height)
if args.xy_list is not None:
image_stars = stardb.xy_list_star_gen(args.xy_list, cam_model)
elif args.cat_file is not None:
image_stars = stardb.cat_star_gen(args.cat_file, cam_model)
else:
raise Exception("No xy points specified")
