def test_calibration(test_x, test_y):
def valid(a, b, name):
d = sphere.spherical_distance(a,b)
if d<1e-6:
print "Testing %s: OK, error is within %.4e" % (name, d)
return True
else:
print "Testing %s: FAIL! error exceeds 1e-6 at %.4e" % (name, d)
return False
lat, lon = sphere.tuio_to_polar(test_x, test_y)
lon += np.pi
assert(valid(cal.test_calibrated_touch(test_x, test_y, 'gp'),gp_adjust(lon, lat, gp_x, gp_y), 'GP'))
assert(valid(cal.test_calibrated_touch(test_x, test_y, 'cubic'),cubic_polar_adjust(lon, lat, cubic_coeff), 'cubic'))
assert(valid(cal.test_calibrated_touch(test_x, test_y, 'quadratic'),quadratic_polar_adjust(lon, lat, quadratic_coeff),'quadratic'))
assert(valid(cal.test_calibrated_touch(test_x, test_y, 'constant'),polar_adjust(lon, lat, correction_factor), 'constant'))
assert(valid(cal.test_calibrated_touch(test_x, test_y, 'none'),polar_adjust(lon, lat, 1), 'none'))
def augment_calibration(calibration):
xs, ys = calibration["tuio_x"], calibration["tuio_y"]
lonlat = np.array([sphere.tuio_to_polar(x,y) for x,y in zip(xs,ys)])
calibration["touch_lon"],calibration["touch_lat"] = lonlat[:,0], lonlat[:,1]
lons,lats = calibration["target_lon"], calibration["target_lat"]
xys = np.array([sphere.polar_to_tuio(lon,lat) for lon,lat in zip(lons,lats)])
calibration["target_x"],calibration["target_y"] = xys[:,0], xys[:,1]
# remove extreme targets which could not be hit (distance > 1 radian)
calibration["target_lon"] = calibration["target_lon"] % (2*np.pi) - np.pi
calibration["touch_lon"] = calibration["touch_lon"] % (2*np.pi) - np.pi
# calculate co-ordinates in azimuthal space
lons, lats = calibration["touch_lon"], calibration["touch_lat"]
xy = np.array([sphere.polar_to_az(lon,lat) for lon,lat in zip(lons,lats)])
calibration["touch_az_x"],calibration["touch_az_y"] = xy[:,0], xy[:,1]
lons, lats = calibration["target_lon"], calibration["target_lat"]
xy = np.array([sphere.polar_to_az(lon,lat) for lon,lat in zip(lons,lats)])
calibration["target_az_x"],calibration["target_az_y"] = xy[:,0], xy[:,1]