def create_animated_sensors(trajectory: List[Transform],
shutter_time: float = 1.,
width: int = 1920,
height: int = 1440,
fov: float = 45.,
num_samples: int = 256) -> List[Sensor]:
"""
Create an animated sensor (Applies motion blur to the rendered image)
:param trajectory: The trajectory containing all Transforms
:param shutter_time: The shutter time to be used to set the Mitsuba setShutterOpenTime
:param width: Width of the generated image
:param height: Height of the generated image
:param fov: The sensor field of view
:param num_samples: Number of samples per pixel (controls the noise in the resulting image)
:return: A list of Mitsuba animated sensors
"""
animated_sensors = []
for transform_idx in range(len(trajectory)):
atrafo = AnimatedTransform()
atrafo.appendTransform(0, trajectory[transform_idx])
atrafo.appendTransform(
1, trajectory[min(transform_idx + 1,
len(trajectory) - 1)])
atrafo.sortAndSimplify()
sensor = create_sensor_from_transform(atrafo, width, height, fov,
num_samples)
sensor.setShutterOpen(0)
sensor.setShutterOpenTime(shutter_time)
animated_sensors.append(sensor)
return animated_sensors
def animated_transform(self, motion):
if len(motion) == 2 and motion[0][1] == motion[1][1]:
del motion[1]
if len(motion) > 1:
transform = AnimatedTransform()
for (t, m) in motion:
transform.appendTransform(t, self.transform_matrix(m))
else:
transform = self.transform_matrix(motion[0][1])
return transform
def animated_transform(self, motion):
if len(motion) == 2 and motion[0][1] == motion[1][1]:
del motion[1]
if len(motion) > 1:
transform = AnimatedTransform()
for (t, m) in motion:
transform.appendTransform(t, self.transform_matrix(m))
else:
transform = self.transform_matrix(motion[0][1])
return transform
def animated_lookAt(self, motion):
if len(motion) == 2 and motion[0][1] == motion[1][1]:
del motion[1]
if len(motion) > 1:
transform = AnimatedTransform()
for (t, (origin, target, up, scale)) in motion:
transform.appendTransform(t, self.transform_lookAt(origin, target, up, scale))
else:
(origin, target, up, scale) = motion[0][1]
transform = self.transform_lookAt(origin, target, up, scale)
return transform
def animated_lookAt(self, motion):
if len(motion) == 2 and motion[0][1] == motion[1][1]:
del motion[1]
if len(motion) > 1:
transform = AnimatedTransform()
for (t, (origin, target, up, scale)) in motion:
transform.appendTransform(
t, self.transform_lookAt(origin, target, up,
scale))
else:
(origin, target, up, scale) = motion[0][1]
transform = self.transform_lookAt(origin, target, up,
scale)
return transform