def test06_put_values_basic(variant_scalar_spectral):
from mitsuba.core import spectrum_to_xyz, MTS_WAVELENGTH_SAMPLES
from mitsuba.core.xml import load_string
from mitsuba.render import ImageBlock
# Recall that we must pass a reconstruction filter to use the `put` methods.
rfilter = load_string("""<rfilter version="2.0.0" type="box">
<float name="radius" value="0.4"/>
</rfilter>""")
im = ImageBlock([10, 8], 5, filter=rfilter)
im.clear()
# From a spectrum & alpha value
border = im.border_size()
ref = np.zeros(shape=(im.height() + 2 * border, im.width() + 2 * border,
3 + 1 + 1))
for i in range(border, im.height() + border):
for j in range(border, im.width() + border):
wavelengths = np.random.uniform(size=(MTS_WAVELENGTH_SAMPLES, ),
low=350,
high=750)
spectrum = np.random.uniform(size=(MTS_WAVELENGTH_SAMPLES, ))
ref[i, j, :3] = spectrum_to_xyz(spectrum, wavelengths)
ref[i, j, 3] = 1 # Alpha
ref[i, j, 4] = 1 # Weight
# To avoid the effects of the reconstruction filter (simpler test),
# we'll just add one sample right in the center of each pixel.
im.put([j + 0.5, i + 0.5], wavelengths, spectrum, alpha=1.0)
check_value(im, ref, atol=1e-6)
def _render_helper(scene, spp=None, sensor_index=0):
"""
Internally used function: render the specified Mitsuba scene and return a
floating point array containing RGB values and AOVs, if applicable
"""
from mitsuba.core import (Float, UInt32, UInt64, Vector2f,
is_monochromatic, is_rgb, is_polarized)
from mitsuba.render import ImageBlock
sensor = scene.sensors()[sensor_index]
film = sensor.film()
sampler = sensor.sampler()
film_size = film.crop_size()
if spp is None:
spp = sampler.sample_count()
total_sample_count = ek.hprod(film_size) * spp
if sampler.wavefront_size() != total_sample_count:
sampler.seed(ek.arange(UInt64, total_sample_count))
pos = ek.arange(UInt32, total_sample_count)
pos //= spp
scale = Vector2f(1.0 / film_size[0], 1.0 / film_size[1])
pos = Vector2f(Float(pos % int(film_size[0])),
Float(pos // int(film_size[0])))
pos += sampler.next_2d()
rays, weights = sensor.sample_ray_differential(
time=0,
sample1=sampler.next_1d(),
sample2=pos * scale,
sample3=0
)
spec, mask, aovs = scene.integrator().sample(scene, sampler, rays)
spec *= weights
del mask
if is_polarized:
from mitsuba.core import depolarize
spec = depolarize(spec)
if is_monochromatic:
rgb = [spec[0]]
elif is_rgb:
rgb = spec
else:
from mitsuba.core import spectrum_to_xyz, xyz_to_srgb
xyz = spectrum_to_xyz(spec, rays.wavelengths)
rgb = xyz_to_srgb(xyz)
del xyz
aovs.insert(0, Float(1.0))
for i in range(len(rgb)):
aovs.insert(i + 1, rgb[i])
del rgb, spec, weights, rays
block = ImageBlock(
size=film.crop_size(),
channel_count=len(aovs),
filter=film.reconstruction_filter(),
warn_negative=False,
warn_invalid=False,
border=False
)
block.clear()
block.put(pos, aovs)
del pos
del aovs
data = block.data()
ch = block.channel_count()
i = UInt32.arange(ek.hprod(block.size()) * (ch - 1))
weight_idx = i // (ch - 1) * ch
values_idx = (i * ch) // (ch - 1) + 1
weight = ek.gather(data, weight_idx)
values = ek.gather(data, values_idx)
return values / (weight + 1e-8)