SensorNoiseModel class
Base class for all sensor noise models
Static methods
- def is_valid_sensor_type(sensor_type: sensor.SensorType) -> bool
- Used to determine whether or not the noise model is applicable to the sensor type
Methods
- def apply(self, sensor_observation)
- Applies the noise model to the sensor observation
Special methods
- def __call__(self, sensor_observation: typing.Union[numpy.ndarray, torch.Tensor]) -> typing.Union[numpy.ndarray, torch.Tensor]
- Alias of apply()
- def __init__(self, *, gpu_device_id: typing.Optional[int] = None) -> None
- Method generated by attrs for class SensorNoiseModel.
Properties
- gpu_device_id: typing.Optional[int] get set del
Method documentation
def habitat_sim.
Used to determine whether or not the noise model is applicable to the sensor type
| Returns | True if this noise model can be applied to this sensor input type |
|---|
def habitat_sim.
Applies the noise model to the sensor observation
| Parameters | |
|---|---|
| sensor_observation | The clean sensor observation. Should not be modified. |