def augment_model(model, multiplier=3, length_scales=(0, 0.1, 1), sds=(1e-5, 1.6e-4, 2.4e-4)):
assert multiplier > 1 and multiplier % 1 == 0, 'multiplier must be integer and >1'
from scipy.interpolate import LinearNDInterpolator
try:
from sklearn.gaussian_process.kernels import Matern, WhiteKernel
except:
print('Requires scikit-learn, install using "conda install scikit-learn"')
sys.exit()
points = np.array(model.vertices)
max_rng = np.max(np.ptp(points, axis=0))
# white noise to ensure positive definite covariance matrix
ls = dict(zip(length_scales, sds))
sd0 = ls.pop(0, 1e-5)
kernel = WhiteKernel(noise_level=sd0 * max_rng)
for l, s in ls.items():
kernel += s ** 2 * Matern(length_scale=l * max_rng, nu=1.5)
assert False, 'not implemented'
# TODO: how is the covariance mx constructed again?
y_cov = kernel(points)
# TODO: sample gp ??? how to tie existing points and generate the new points in between?
aug_points, L = mv_normal(points, cov=y_cov)
# TODO: how to interpolate faces?
pass
# interpolate texture
# TODO: augment texture
interp = LinearNDInterpolator(points, model.texcoords)
aug_texcoords = interp(aug_points)
data = model.as_dict()
data['faces'] = aug_faces
data['vertices'] = aug_points
data['texcoords'] = aug_texcoords
from visnav.iotools import objloader
aug_model = objloader.ShapeModel(data=data)
aug_model.recalc_norms()
return aug_model, L
def loadObject(self, noisy_model=None):
genList = self.gl.glGenLists(1)
self.gl.glNewList(genList, self.gl.GL_COMPILE)
self.gl.glBegin(self.gl.GL_TRIANGLES) # GL_POLYGON?
self.setColor(self._fgColor)
#self.gl.glEnable(self.gl.GL_COLOR_MATERIAL);
#self.gl.glMaterialfv(self.gl.GL_FRONT, self.gl.GL_SPECULAR, (0,0,0,1));
#self.gl.glMaterialfv(self.gl.GL_FRONT, self.gl.GL_SHININESS, (0,));
if self.systemModel.asteroid.real_shape_model is None:
rsm = self.systemModel.asteroid.real_shape_model = objloader.ShapeModel(
fname=self.systemModel.asteroid.target_model_file)
else:
rsm = self.systemModel.asteroid.real_shape_model
if noisy_model is not None:
sm = noisy_model
# elif self._add_shape_model_noise and not BATCH_MODE:
#sup = objloader.ShapeModel(fname=SHAPE_MODEL_NOISE_SUPPORT)
#sm, noise, L = tools.apply_noise(rsm, support=np.array(sup.vertices))
# sm, noise, L = tools.apply_noise(rsm)
else:
sm = rsm
for triangle, norm, tx in sm.faces:
self.triangle(sm.vertices[triangle[0]], sm.vertices[triangle[1]],
sm.vertices[triangle[2]], sm.normals[norm])
self.gl.glEnd()
self.gl.glEndList()
if DEBUG:
# assume all 32bit (4B) variables, no reuse of vertices
# => triangle count x (3 vertices + 1 normal) x 3d vectors x bytes per variable
mem_needed = len(sm.faces) * 4 * 3 * 4
print('3D model mem use: %.0fx %.0fB => %.1fMB' %
(len(sm.faces), 4 * 3 * 4, mem_needed / 1024 / 1024))
self._object = genList
def apply_noise(model, support=(None, None), L=(None, None), len_sc=SHAPE_MODEL_NOISE_LEN_SC,
noise_lv=SHAPE_MODEL_NOISE_LV['lo'], only_z=False,
tx_noise=0, tx_noise_len_sc=SHAPE_MODEL_NOISE_LEN_SC, tx_hf_noise=True):
Sv, St = support
Lv, Lt = L
inplace = noise_lv == 0 and model.texfile is None
if noise_lv > 0:
noisy_points, avg_dev, Lv = points_with_noise(points=model.vertices, support=Sv, L=Lv,
noise_lv=noise_lv, len_sc=len_sc, only_z=only_z)
else:
noisy_points, avg_dev, Lv = model.vertices, 0, None
tex = model.tex
if tx_noise > 0:
if inplace:
model.tex = np.ones(model.tex.shape)
Lt = Lv if Lt is None and tx_noise == noise_lv and tx_noise_len_sc == len_sc else Lt
tex, tx_avg_dev, Lt = texture_noise(model, support=St, L=Lt, noise_sd=tx_noise,
len_sc=tx_noise_len_sc, hf_noise=tx_hf_noise)
if inplace:
model.tex = tex
noisy_model = model
else:
data = model.as_dict()
data['vertices'] = noisy_points
if tx_noise > 0:
data['tex'] = tex
data['texfile'] = None
from visnav.iotools import objloader
noisy_model = objloader.ShapeModel(data=data)
if noise_lv > 0:
noisy_model.recalc_norms()
else:
noisy_model.normals = model.normals
return noisy_model, avg_dev, (Lv, Lt)
def __init__(self, hi_res_shape_model=False):
super(DidymosSecondary, self).__init__()
self.name = 'Didymos Secondary'
self.image_db_path = None
# use ryugu model for this, ryugu ~162m diameter, ryugu-big ~772m diameter (Didy2 & Didy1)
self.target_model_file = os.path.join(DATA_DIR, 'ryugu+tex-d2-16k.obj')
self.hires_target_model_file = os.path.join(DATA_DIR,
'ryugu+tex-d2-400k.obj')
self.constant_noise_shape_model = {
'': os.path.join(
DATA_DIR, 'ryugu+tex-d2-16k.nsm'
), # same as target_model_file but includes error estimate
'lo': os.path.join(DATA_DIR,
'ryugu+tex-d2-4k.nsm'), # 1/4 the vertices
'hi': os.path.join(DATA_DIR,
'ryugu+tex-d2-1k.nsm'), # 1/16 the vertices
}
self.sample_image_file = None
self.sample_image_meta_file = None
self.real_shape_model = objloader.ShapeModel(
fname=self.hires_target_model_file if hi_res_shape_model else self.
target_model_file)
self.render_smooth_faces = False if hi_res_shape_model else True
self.reflmod_params = {
1: DidymosPrimary.LUNAR_LAMBERT_PARAMS, # REFLMOD_LUNAR_LAMBERT
2: DidymosPrimary.HAPKE_PARAMS, # REFLMOD_HAPKE
}
# for cross section, assume spherical object
self.max_radius = 105 # in meters, maximum extent of object from asteroid frame coordinate origin
self.mean_radius = 163 / 2 # in meters, dims = [206, 158, 132]
self.mean_cross_section = math.pi * self.mean_radius**2
# Distance = 1180 (1160-1220) m
# L1, L2 = 999.3, 1354.4 m
# epoch for orbital elements, 2019-Apr-27.0 TDB
self.oe_epoch = Time(2458600.5, format='jd')
# orbital elements (from https://ssd.jpl.nasa.gov/sbdb.cgi?sstr=2065803#content)
# reference: JPL 134 (heliocentric ecliptic J2000)
self.eccentricity = .3840204901532592
self.semimajor_axis = 1.644267950023408 * const.au
self.inclination = math.radians(3.408560852149408)
self.longitude_of_ascending_node = math.radians(73.20707998527304)
self.argument_of_periapsis = math.radians(319.3188822767833)
self.mean_anomaly = math.radians(124.6176776030496)
# other, not used
self.aphelion = 2.275700534134692 * const.au
self.perihelion = 1.012835365912124 * const.au
self.orbital_period = 770.1180709731267 * 24 * 3600 # seconds
# self.true_anomaly = math.radians(145.5260853202137 ??)
# rotation period 11.92h from https://ssd.jpl.nasa.gov/sbdb.cgi?sstr=2065803#content
self.rot_epoch = Time('J2000')
self.rotation_velocity = 2 * math.pi / (11.92 * 3600) # rad/s
# asteroid rotation axis in equatorial coordinates
ra, de, tpm = 310, -84, 0 # ra=lon, de=lat
self.rotation_pm = math.radians(tpm)
self.axis_latitude, self.axis_longitude = \
tuple(map(math.radians, (de, ra) if USE_ICRS else \
tools.equatorial_to_ecliptic(de * units.deg, ra * units.deg)))
self.precession_cone_radius = None
self.precession_period = None
self.precession_pm = None
self.set_defaults()
def __init__(self, hi_res_shape_model=False, rosetta_batch='default'):
super(ChuryumovGerasimenko, self).__init__()
self.name = '67P/Churyumov-Gerasimenko'
# from http://imagearchives.esac.esa.int/index.php?/category/167/start-224
# self._image_db_path = os.path.join(DATA_DIR, 'rosetta-mtp017')
self.rosetta_batch = 'mtp006' if rosetta_batch == 'default' else rosetta_batch
self.image_db_path = os.path.join(DATA_DIR,
'rosetta-' + self.rosetta_batch)
self.target_model_file = os.path.join(DATA_DIR, '67p+tex-16k.obj')
xtra_hires = os.path.join(
DATA_DIR,
'original-shapemodels/67P_C-G_shape_model_MALMER_2015_11_20-in-km.obj'
)
if os.path.exists(xtra_hires):
self.hires_target_model_file = xtra_hires
else:
self.hires_target_model_file = os.path.join(
DATA_DIR, '67p+tex-80k.obj')
print(('Using lower quality shape model for synthetic navcam ' +
'images as highest quality shape model not found: %s') %
xtra_hires)
self.hires_target_model_file_textures = False
self.render_smooth_faces = False
self.reflmod_params = {
1:
ChuryumovGerasimenko.LUNAR_LAMBERT_PARAMS, # REFLMOD_LUNAR_LAMBERT
2: ChuryumovGerasimenko.HAPKE_PARAMS, # REFLMOD_HAPKE
}
# done using `make-const-noise-shapemodel.py data/67p-83k-b.obj data/67p-17k.obj data/67p-17k.nsm`
self.constant_noise_shape_model = {
'': os.path.join(
DATA_DIR, '67p+tex-16k.nsm'
), # same as target_model_file but includes error estimate
'lo': os.path.join(DATA_DIR, '67p+tex-4k.nsm'), # 1/4 the vertices
'hi': os.path.join(DATA_DIR,
'67p+tex-1k.nsm'), # 1/16 the vertices
}
sample_image = {
'mtp003': 'ROS_CAM1_20140531T114923',
'mtp006': 'ROS_CAM1_20140808T140718',
'mtp007':
'ROS_CAM1_20140902T113852', # ROS_CAM1_20140902T113852, ROS_CAM1_20140923T060854
'mtp017':
'ROS_CAM1_20150630T230217', # ROS_CAM1_20150603T094509, ROS_CAM1_20150612T230217
'mtp018':
'ROS_CAM1_20150710T074301', # ROS_CAM1_20150603T094509, ROS_CAM1_20150612T230217
'mtp024':
'ROS_CAM1_20160112T230217', # ROS_CAM1_20151216T060218, ROS_CAM1_20160112T230217
'mtp025':
'ROS_CAM1_20160209T231753', # ROS_CAM1_20160113T060218, ROS_CAM1_20160209T231753
'mtp026':
'ROS_CAM1_20160301T131104', # ROS_CAM1_20160210T060423, ROS_CAM1_20160301T131104, ROS_CAM1_20160308T231754
}[self.rosetta_batch]
self.sample_image_file = os.path.join(self.image_db_path,
sample_image + '_P.png')
self.sample_image_meta_file = os.path.join(self.image_db_path,
sample_image + '.LBL')
self.real_shape_model = objloader.ShapeModel(
fname=self.hires_target_model_file if hi_res_shape_model else self.
target_model_file)
self.max_radius = 3000 # in meters, maximum extent of object from asteroid frame coordinate origin
self.mean_radius = 2000
# for cross section, assume spherical object and 2km radius
self.mean_cross_section = math.pi * self.mean_radius**2
# epoch for orbital elements, 2010-Oct-22.0 TDB
self.oe_epoch = Time(2455491.5, format='jd')
# orbital elements (from https://ssd.jpl.nasa.gov/sbdb.cgi)
# reference: JPL K154/1 (heliocentric ecliptic J2000)
self.eccentricity = .6405823233437267
self.semimajor_axis = 3.464737502510219 * const.au
self.inclination = math.radians(7.043680712713979)
self.longitude_of_ascending_node = math.radians(50.18004588418096)
self.argument_of_periapsis = math.radians(12.69446409956478)
self.mean_anomaly = math.radians(91.76808585530111)
# other
self.aphelion = 5.684187101644357 * const.au
self.perihelion = 1.245287903376082 * const.au
self.orbital_period = 2355.612944885578 * 24 * 3600 # seconds
# self.true_anomaly = math.radians(145.5260853202137 ??)
# rotation period
# from http://www.aanda.org/articles/aa/full_html/2015/11/aa26349-15/aa26349-15.html
# - 12.4043h (2014 aug-oct)
# from http://www.sciencedirect.com/science/article/pii/S0019103516301385?via%3Dihub
# - 12.4304h (19 May 2015)
# - 12.305h (10 Aug 2015)
self.rot_epoch = Time('J2000')
# self.rotation_velocity = 2*math.pi/12.4043/3600 # prograde, in rad/s
# --- above seems incorrect based on the pics, own estimate
# based on ROS_CAM1_20150720T165249 - ROS_CAM1_20150721T075733
if False:
self.rotation_velocity = 2 * math.pi / 12.4043 / 3600
else:
# variable rotation velocity correction in degrees per day
correction = {
'default': -0.4 / 25, # 2014-08-01 - 2014-09-02
'mtp003': 0.00, # 2014-08-01 - 2014-09-02
'mtp006': 0.006088, # 2014-08-01 - 2014-09-02
'mtp007': 0.011987, # 2014-09-02 - 2014-09-23
'mtp017': -0.652648, # 2015-06-03 - 2015-06-30
'mtp018': 0.023459, # 2015-06-30 - 2015-
'mtp024': 19.170419, # 2015-12-16 - 2016-01-12
'mtp025': 19.623067, # 2016-01-13 - 2016-02-09
'mtp026': 19.857628, # 2016-02-10 - 2016-03-08
}[rosetta_batch]
self.rotation_velocity = 2 * math.pi / 12.4043 / 3600 + math.radians(
correction) / 24 / 3600 # 0.3754
# for rotation phase shift, will use as equatorial longitude of
# asteroid zero longitude (cheops) at J2000, based on 20150720T165249
# papar had 114deg in it
# for precession cone center (J2000), paper had 69.54, 64.11
if False:
tlat, tlon, tpm = 69.54, 64.11, 114
else:
# rotation phase shift in degrees for different batches
tpm = {
'default': -9, # 2014-08-01 - 2014-09-02
'mtp003': 0, # 2014-08-01 - 2014-09-02
'mtp006': -127.05, # 2014-08-01 - 2014-09-02
'mtp007': -158.68, # 2014-09-02 - 2014-09-23
'mtp017': -150.09, # 2015-06-03 - 2015-06-30
'mtp018': -9.65, # 2015-06-30 - 2015-
'mtp024': 83.90, # 2015-12-16 - 2016-01-12
'mtp025': -46.27, # 2016-01-13 - 2016-02-09
'mtp026': 13.40, # 2016-02-10 - 2016-03-08
}[rosetta_batch]
tlat, tlon = 64.11, 69.54
self.rotation_pm = math.radians(tpm)
self.axis_latitude, self.axis_longitude = \
tuple(map(math.radians, (tlat, tlon) if USE_ICRS else \
tools.equatorial_to_ecliptic(tlat * units.deg, tlon * units.deg)))
self.precession_cone_radius = math.radians(
0.14) # other paper 0.15+-0.03 deg
self.precession_period = 10.7 * 24 * 3600 # other paper had 11.5+-0.5 days
self.precession_pm = math.radians(0.288)
self.set_defaults()
res = tools.poly_line_intersect(((0, 0, 1), (0, 1, 1), (1, 0, 1)),
((0, 0, 0), (.3, .7, 1)))
print('%s' % res)
quit()
assert len(
sys.argv
) == 4, 'USAGE: %s [full-res-model] [target-model] [output]' % sys.argv[0]
full_res_model = os.path.join(BASE_DIR, sys.argv[1])
infile = os.path.join(BASE_DIR, sys.argv[2])
outfile = os.path.join(BASE_DIR, sys.argv[3])
sc = 1000 # bennu in meters, ryugu & 67P in km
# load shape models
obj_fr = objloader.ShapeModel(fname=full_res_model)
obj = objloader.ShapeModel(fname=infile)
timer = tools.Stopwatch()
timer.start()
devs = tools.point_cloud_vs_model_err(np.array(obj_fr.vertices), obj)
timer.stop()
# doesnt work: tools.intersections.parallel_diagnostics(level=4)
p50 = np.median(devs)
p68, p95, p99 = np.percentile(np.abs(devs - p50), (68, 95, 99.7))
idxs = np.abs(devs - p50) < p95
clean_devs = devs[idxs]
dev_mean = np.mean(clean_devs)
dev_std = np.std(clean_devs)
re = RenderEngine(sm.cam.width, sm.cam.height, antialias_samples=16)
#obj_idx = re.load_object(sm.asteroid.target_model_file, smooth=False)
obj_idx = re.load_object(sm.asteroid.hires_target_model_file,
smooth=False)
quit()
#obj_idx = re.load_object(os.path.join(DATA_DIR, 'original-shapemodels/CSHP_DV_130_01_HIRES_00200.obj'), smooth=False)
#obj_idx = re.load_object(os.path.join(DATA_DIR, 'original-shapemodels/dissolved_5deg_1.obj'), smooth=False)
#obj_idx = re.load_object(os.path.join(DATA_DIR, 'original-shapemodels/67P_C-G_shape_model_MALMER_2015_11_20-in-km.obj'), smooth=False)
textures = False
else:
re = RenderEngine(sm.cam.width, sm.cam.height, antialias_samples=0)
fname = sm.asteroid.constant_noise_shape_model[
''] # ''=>17k, 'lo'=>4k, 'hi'=>1k
with open(fname, 'rb') as fh:
noisy_model, sm_noise = pickle.load(fh)
obj_idx = re.load_object(objloader.ShapeModel(data=noisy_model),
smooth=sm.asteroid.render_smooth_faces)
#obj_idx = re.load_object(sm.asteroid.target_model_file, smooth=False)
textures = False
ab = AlgorithmBase(sm, re, obj_idx)
hapke = True
model = RenderEngine.REFLMOD_HAPKE if hapke else RenderEngine.REFLMOD_LUNAR_LAMBERT
size = (1024, 1024) # (256, 256)
real = cv2.imread(os.path.join(sm.asteroid.image_db_path, img + '_P.png'),
cv2.IMREAD_GRAYSCALE)
if 1:
img, dist = ab.render(shadows=True,
def __init__(self, hi_res_shape_model=False):
super(Bennu, self).__init__()
self.name = 'Bennu'
# xtra_hires = os.path.join(DATA_DIR, 'original-shapemodels/bennu.orex.obj')
xtra_hires = os.path.join(DATA_DIR, 'bennu+tex-98k-v3.obj')
if os.path.exists(xtra_hires):
self.hires_target_model_file = xtra_hires
else:
raise FileNotFoundError('cant find shape model file %s' %
xtra_hires)
self.image_db_path = os.path.join(DATA_DIR, 'bennu')
self.target_model_file = xtra_hires
self.hires_target_model_file_textures = False
self.render_smooth_faces = False
self.reflmod_params = {
1: Bennu.LUNAR_LAMBERT_PARAMS, # REFLMOD_LUNAR_LAMBERT
2: Bennu.HAPKE_PARAMS, # REFLMOD_HAPKE
}
# done using `make-const-noise-shapemodel.py data/bennu-98k.obj data/bennu-16k.obj data/bennu-16k.nsm`
self.constant_noise_shape_model = {
'': os.path.join(
DATA_DIR, 'bennu+tex-16k.nsm'
), # same as target_model_file but includes error estimate
'lo': os.path.join(DATA_DIR,
'bennu+tex-4k.nsm'), # 1/4 the vertices
'hi': os.path.join(DATA_DIR,
'bennu+tex-1k.nsm'), # 1/16 the vertices
}
sample_image = 'placeholder'
self.sample_image_file = os.path.join(self.image_db_path,
sample_image + '_P.png')
self.sample_image_meta_file = os.path.join(self.image_db_path,
sample_image + '.LBL')
self.real_shape_model = objloader.ShapeModel(
fname=self.hires_target_model_file if hi_res_shape_model else self.
target_model_file)
self.max_radius = 285 # in meters, maximum extent of object from asteroid frame coordinate origin
self.mean_radius = 245
# for cross section, assume spherical object and 2km radius
self.mean_cross_section = math.pi * self.mean_radius**2
# epoch for orbital elements, 2011-Jan-01.0 TDB
self.oe_epoch = Time(2455562.5, format='jd')
# orbital elements (from https://ssd.jpl.nasa.gov/sbdb.cgi)
# reference: JPL K154/1 (heliocentric ecliptic J2000)
self.eccentricity = .203745108478542
self.semimajor_axis = 1.126391025934071 * const.au
self.inclination = math.radians(6.034939533607825)
self.longitude_of_ascending_node = math.radians(2.060867329373625)
self.argument_of_periapsis = math.radians(66.22306846088361)
self.mean_anomaly = math.radians(101.7039479473255)
# other
self.aphelion = 1.355887687702265 * const.au
self.perihelion = .8968943641658774 * const.au
self.orbital_period = 436.6487281348487 * 24 * 3600 # seconds
# self.true_anomaly = math.radians(145.5260853202137 ??)
# rotation period from https://en.wikipedia.org/wiki/101955_Bennu
self.rot_epoch = Time('J2000')
self.rotation_velocity = 2 * math.pi / 4.296057 / 3600
# rotation axis dec, ra, unknown offset
tlat, tlon, tpm = -60.17, 85.65, 0
self.rotation_pm = math.radians(tpm)
self.axis_latitude, self.axis_longitude = \
tuple(map(math.radians, (tlat, tlon) if USE_ICRS else \
tools.equatorial_to_ecliptic(tlat * units.deg, tlon * units.deg)))
# unknown and unused for now
self.precession_cone_radius = math.radians(0)
self.precession_period = 1 * 24 * 3600
self.precession_pm = math.radians(0)
self.set_defaults()
def render(fname):
with open(fname, 'rb') as fh:
noisy_model, _loaded_sm_noise = pickle.load(fh)
render_engine.load_object(objloader.ShapeModel(data=noisy_model), obj_idx, smooth=sm.asteroid.render_smooth_faces)
return cv2.resize(ab.render(shadows=True, reflection=RenderEngine.REFLMOD_LUNAR_LAMBERT), size)
