def test01_construct(variant_scalar_rgb):
from mitsuba.core.xml import load_string
from mitsuba.render import ImageBlock
im = ImageBlock([33, 12], 4)
assert im is not None
assert ek.all(im.offset() == 0)
im.set_offset([10, 20])
assert ek.all(im.offset() == [10, 20])
assert ek.all(im.size() == [33, 12])
assert im.warn_invalid()
assert im.border_size() == 0 # Since there's no reconstruction filter
assert im.channel_count() == 4
assert im.data() is not None
rfilter = load_string("""<rfilter version="2.0.0" type="gaussian">
<float name="stddev" value="15"/>
</rfilter>""")
im = ImageBlock([10, 11], 2, filter=rfilter, warn_invalid=False)
assert im.border_size() == rfilter.border_size()
assert im.channel_count() == 2
assert not im.warn_invalid()
im = ImageBlock([10, 11], 6)
assert im is not None
im.channel_count() == 6
sample3=0)
# Intersect rays with the scene geometry
surface_interaction = scene.ray_intersect(rays)
# Given intersection, compute the final pixel values as the depth t
# of the sampled surface interaction
result = surface_interaction.t
# Set to zero if no intersection was found
result[~surface_interaction.is_valid()] = 0
block = ImageBlock(film.crop_size(),
channel_count=5,
filter=film.reconstruction_filter(),
border=False)
block.clear()
# ImageBlock expects RGB values (Array of size (n, 3))
block.put(position_sample, rays.wavelengths, Vector3f(result, result, result),
1)
# Write out the result from the ImageBlock
# Internally, ImageBlock stores values in XYZAW format
# (color XYZ, alpha value A and weight W)
xyzaw_np = block.data().reshape([film_size[1], film_size[0], 5])
# We then create a Bitmap from these values and save it out as EXR file
bmp = Bitmap(xyzaw_np, Bitmap.PixelFormat.XYZAW)
bmp = bmp.convert(Bitmap.PixelFormat.Y, Struct.Type.Float32, srgb_gamma=False)
bmp.write('depth.exr')
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)
dragon_c = scene.shapes()[6].bbox().center()
c = Vector3f(dragon_c)
d = c - surface_interaction.p
result = ek.norm(d)
max_dist = ek.hmax(result)
result /= max_dist
result = 0.3 * (1.0 - result**(2.0))
result[~surface_interaction.is_valid()] = 0
block = ImageBlock(film.crop_size(),
channel_count=5,
filter=film.reconstruction_filter(),
border=False)
block.clear()
# ImageBlock expects RGB values (Array of size (n, 3))
block.put(pos, rays.wavelengths, Vector3f(result, result, result), 1)
# Write out the result from the ImageBlock
# Internally, ImageBlock stores values in XYZAW format
# (color XYZ, alpha value A and weight W)
xyzaw_np = np.array(block.data()).reshape([film_size[1], film_size[0], 5])
# We then create a Bitmap from these values and save it out as EXR file
bmp = Bitmap(xyzaw_np, Bitmap.PixelFormat.XYZAW)
bmp = bmp.convert(Bitmap.PixelFormat.RGBA,
Struct.Type.Float32,
srgb_gamma=False)
bmp.write('distance.exr')
