Sensors

Definition of all of the sensor information. The UE settings for sensors are such that the motion ticks happen before the sensor ticks.

Classes:

`AcousticBeaconSensor`(client, agent_name, ...)	Acoustic Beacon Sensor.
`CameraSensor`(client, agent_name, agent_type)	Captures agent's view.
`DVLSensor`(client, agent_name, agent_type[, ...])	Doppler Velocity Log Sensor.
`DepthSensor`(client, agent_name, agent_type)	Pressure/Depth Sensor.
`DynamicsSensor`(client, agent_name, agent_type)	Gives all relevant information needed for implementing custom dynamics.
`GPSSensor`(client, agent_name, agent_type[, ...])	Gets the location of the agent in the world if the agent is close enough to the surface.
`HoloOceanSensor`(client[, agent_name, ...])	Base class for a sensor
`IMUSensor`(client, agent_name, agent_type[, ...])	Inertial Measurement Unit sensor.
`ImagingSonar`(client, agent_name, agent_type)	Simulates an imaging sonar.
`LocationSensor`(client, agent_name, agent_type)	Gets the location of the agent in the world.
`MagnetometerSensor`(client, agent_name, ...)	Gets the global x-axis (or given vector) in the local frame.
`OpticalModemSensor`(client, agent_name, ...)	Handles communication between agents using an optical modem.
`OrientationSensor`(client[, agent_name, ...])	Gets the forward, right, and up vector for the agent.
`PoseSensor`(client[, agent_name, agent_type, ...])	Gets the forward, right, and up vector for the agent.
`ProfilingSonar`(client, agent_name, agent_type)	Simulates a multibeam profiling sonar.
`RGBCamera`(client, agent_name, agent_type[, ...])	Captures agent's view.
`RGBDCamera`(client, agent_name, agent_type[, ...])	*WIP: need to fully test this sensor*
`RangeFinderSensor`(client, agent_name, agent_type)	Returns distances to nearest collisions in the directions specified by the parameters.
`RaycastLidar`(client, agent_name, agent_type)	*WIP: need to fully test this senssor* Runs Agent's Lidar
`RaycastSemanticLidar`(client, agent_name, ...)	*WIP: need to fully test this senssor* Runs Agent's Lidar
`RotationSensor`(client[, agent_name, ...])	Gets the rotation of the agent in the world, with rotation XYZ about the fixed frame, in degrees.
`SemanticSegmentationCamera`(client, ...[, ...])	*WIP: need to fully test this senssor* Captures agent's view.
`SensorDefinition`(agent_name, agent_type, ...)	A class for new sensors and their parameters, to be used for adding new sensors.
`SensorFactory`()	Given a sensor definition, constructs the appropriate HoloOceanSensor object.
`SidescanSonar`(client, agent_name, agent_type)	Simulates a sidescan sonar.
`SinglebeamSonar`(client, agent_name, agent_type)	Simulates an echosounder, which is a sonar sensor with a single cone shaped beam.
`VelocitySensor`(client[, agent_name, ...])	Returns the x, y, and z velocity of the sensor in the global frame.
`ViewportCapture`(client, agent_name, agent_type)	Captures what the viewport is seeing.
`WorldNumSensor`(client[, agent_name, ...])	Returns any numeric value from the world corresponding to a given key.

class holoocean.sensors.AcousticBeaconSensor(client, agent_name, agent_type, name='AcousticBeaconSensor', config=None)

Acoustic Beacon Sensor. Can send message to other beacon from the send_acoustic_message() command.

Returning array depends on sent message type. Note received message will be delayed due to time of acoustic wave traveling. Possibly message types are, with ϕ representing the azimuth, ϴ elevation, r range, and d depth in water,

OWAY: One way message that sends ["OWAY", from_sensor, payload]
OWAYU: One way message that sends ["OWAYU", from_sensor, payload, ϕ, ϴ]
MSG_REQ: Requests a return message of MSG_RESP and sends ["MSG_REQ", from_sensor, payload]
MSG_RESP: Return message that sends ["MSG_RESP", from_sensor, payload]
MSG_REQU: Requests a return message of MSG_RESPU and sends ["MSG_REQU", from_sensor, payload, ϕ, ϴ]
MSG_RESPU: Return message that sends ["MSG_RESPU", from_sensor, payload, ϕ, ϴ, r]
MSG_REQX: Requests a return message of MSG_RESPX and sends ["MSG_REQX", from_sensor, payload, ϕ, ϴ, d]
MSG_RESPX: Return message that sends ["MSG_RESPX", from_sensor, payload, ϕ, ϴ, r, d]

These messages types are based on the Blueprint Subsea SeaTrac X150

Configuration

The configuration block (see Configuration Block) accepts the following options:

id: Id of this sensor. If not given, they are numbered sequentially.
CheckVisible: Whether to check for linear line of sight to vehicle when verify message will be received. Used when sending data. Defaults to false.
MaxDistance: Max Distance in meters of AcousticBeacon. Used when sending data. Defaults to no max distance.
DistanceSigma/DistanceCov: Determines the standard deviation/covariance of the noise on MaxDistance. Must be scalar value. (default 0 => no noise)

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor
`sensor_data`	Get the sensor data buffer

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

property sensor_data

Get the sensor data buffer

Returns:: Current sensor data
Return type:: np.ndarray of size self.data_shape

class holoocean.sensors.CameraSensor(client, agent_name, agent_type, name='CameraSensor', config=None)

Captures agent’s view.

The default capture resolution is 256x256x256x4, corresponding to the RGBA channels. The resolution can be increased, but will significantly impact performance.

Configuration

The configuration block (see Configuration Block) accepts the following options:

CaptureWidth (int): Width of captured image
CaptureHeight (int): Height of captured image
FovAngle (float): FOV of the Camera (default: 90, min: 0.001, max: 360.0)
TargetGamma (float): Target Gamma of the Camera (default: 1.0)
ExposureMethod (string): Luminance computation method. Four options: AEM_Histogram, AEM_Basic, AEM_Manual, and AEM_MAX
ExposureCompensation (float): Logarithmic adjustment for the exposure. Only used if a tonemapper is specified. Exposure compensation. Pretested worlds we decided that 4 looked the best (default: 4, min: -15.0, max: 15.0)
ShutterSpeed (float): The camera shutter in seconds. In Unreal, this only affects exposure. (default: 60, min: 1.0, max: 2000.0)
ISO (float): The camera sensor sensitivity in ISO. (default: 100.0, min: 1.0)
Aperature (float): Defines the opening of the camera lens, Aperture is 1/fstop, typical lens go down to f/1.2 (large opening), larger numbers reduce the DOF effect (default: 4.0, min: 1.0, max: 32.0)
FocalDistance (float): Distance in which the Depth of Field effect should be sharp, in unreal units (cm) (default: disabled (i.e. 0.0 in Unreal), min: 0.0, max: 10000.0)
DepthBlurAmount (float): Depth Blur km for 50% (default: disabled (but set to 1.0), min: 0.000001, max: 100.0)
DepthBlurRadius (float): CircleDOF only: Depth blur radius in pixels at 1920x (default: 0.0. min: 0.0, max: 4.0)
BladeCount (int): Depth of Field Blade Count. Defines the number of blades of the diaphragm within the lens (min: 4, max: 16)
DepthOfFieldMinFstop (float): Defines the maximum opening of the camera lens to control the curvature of blades of the diaphragm. Set it to 0 to get straight blades. (min: 0.0, max: 32.0)
FilmSlope (float): Film Slope (default: disabled, min: 0.0, max: 1.0)
FilmToe (float): Film Toe (default: disabled, min: 0.0, max: 1.0)
FilmShoulder (float): Overrides the base Film Shoulder (default: disabled, min: 0.0, max: 1.0)
FilmBlackClip (float): Overrides the baseFilm Black Clip (default: disabled, min: 0.0, max: 1.0)
FilmWhiteClip (float): Overrides the baseFile White Clip (default: disabled, min: 0.0, max: 1.0)
``ExposureMinBrightness (float): Auto-Exposure minimum adaptation. Eye Adaptation is disabled if Min = Max. (default: disabled, min: -10.0, max: 20.0)
``ExposureMaxBrightness (float): Auto-Exposure maximum adaptation. Eye Adaptation is disabled if Min = Max. (default: disabled, min: -10.0, max: 20.0)
ExposureSpeedDown (float): Overrides base auto exposure speed down (default: disabled, min: 0.02, max: 20.0)
ExposureSpeedUp (float): Overrides base auto exposure speed up (default: disabled, min: 0.02, max: 20.0)
MotionBlurIntensity (float): /** Strength of motion blur, 0:off */ (default: disabled, min: 0.0, max: 1.0)
MotionBlurMaxDistortion (float): max distortion caused by motion blur, in percent of the screen width, 0:off (default: disabled, min: 0.0, max: 1.0)
MotionBlurMinObjectScreenSize (float): The minimum projected screen radius for a primitive to be drawn in the velocity pass, percentage of screen width. smaller numbers cause more draw calls, default: 4% (default: 2, min: 0.0, max: 100.0)
LensFlareIntensity (float): Brightness scale of the image cased lens flares (linear) (default: disabled, min: 0.0, max: 16.0)
BloomIntensity (float): Multiplier for all bloom contributions >=0: off, 1(default), >1 brighter (default: 1.0, min: 0.0, max: 8.0)
WhiteTemp (float): Color Grading Temperature (default: disabled, min: 1500.0, max: 15000.0)
WhiteTint (float): Color Grading Tint (default: disabled, min: -1.0, max: 1.0)
ChromAberrIntensity (float): in percent, Scene chromatic aberration / color fringe (camera imperfection) to simulate an artifact that happens in real-world lens, mostly visible in the image corners. (default: disabled, min: 0.0, max: 5.0)
ChromAberrOffset (float): A normalized distance to the center of the framebuffer where the effect takes place. (default: disabled, min: 0.0, max: 1.0)
MaxViewDistanceOverride (float): if > 0, sets a maximum render distance override. Can be used to cull distant objects from a reflection if the reflecting plane is in an enclosed area like a hallway or room (default: disabled, min: 100, max: 10000)

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

Methods:

set_ticks_per_capture(ticks_per_capture)

Sets this CameraSensor to capture a new frame every ticks_per_capture.

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

set_ticks_per_capture(ticks_per_capture)

Sets this CameraSensor to capture a new frame every ticks_per_capture.

The sensor’s image will remain unchanged between captures.

This method must be called after every call to env.reset.

Parameters:: ticks_per_capture (int) – The amount of ticks to wait between camera captures.

class holoocean.sensors.DVLSensor(client, agent_name, agent_type, name='DVLSensor', config=None)

Doppler Velocity Log Sensor.

Returns a 1D numpy array of:

[velocity_x, velocity_y, velocity_z, range_x_forw, range_y_forw, range_x_back, range_y_back]

With the range potentially not returning if ReturnRange is set to false.

Configuration

The configuration block (see Configuration Block) accepts the following options:

Elevation: Angle of each acoustic beam off z-axis pointing down. Only used for noise/visualization. Defaults to 22.5 degrees => 45 field of view.
DebugLines: Whether to show lines of each beam. Defaults to false.
VelSigma/VelCov: Covariance/Std to be applied to each beam velocity. Can be scalar, 4-vector or 4x4-matrix. Set one or the other. Defaults to 0 => no noise.
ReturnRange: Boolean of whether range of beams should also be returned. Defaults to true.
MaxRange: Maximum range that can be returned by the beams.
RangeSigma/RangeCov: Covariance/Std to be applied to each beam range. Can be scalar, 4-vector or 4x4-matrix. Set one or the other. Defaults to 0 => no noise.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.DepthSensor(client, agent_name, agent_type, name='DepthSensor', config=None)

Pressure/Depth Sensor.

Returns a 1D numpy array of:

[position_z]

Configuration

The configuration block (see Configuration Block) accepts the following options:

Sigma/Cov: Covariance/Std to be applied, a scalar. Defaults to 0 => no noise.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.DynamicsSensor(client, agent_name, agent_type, name='DynamicsSensor', config=None)

Gives all relevant information needed for implementing custom dynamics. Returns are all in the global frame and are as follows:

[acceleration, velocity, position, angular accel., angular velocity, rpy]

all of which are 3-vectors and rpy is roll, pitch, and yaw. This is the ONLY sensor that by default doesn’t operate in its socket, but rather in the COM. This is mostly for convenience since 99% of the time when doing custom dynamics the information is wanted at the COM.

Configuration

The configuration block (see Configuration Block) accepts the following options:

UseCOM: Whether to return data relative to the COM or the specified socket. Defaults to true.
UseRPY: Whether to return orientation as roll, pitch, yaw, or as a quaternion. Defaults to true. When true, sensor returns an 18 vector, when false sensor returns as 19 vector. Quaternion is specified with scalar as last value ie x,y,z,w.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.GPSSensor(client, agent_name, agent_type, name='GPSSensor', config=None)

Gets the location of the agent in the world if the agent is close enough to the surface.

Returns coordinates in [x, y, z] format (see Coordinate System)

Configuration

The configuration block (see Configuration Block) accepts the following options:

Sigma/Cov: Covariance/Std of measurement. Can be scalar, 3-vector or 3x3-matrix. Set one or the other. Defaults to 0 => no noise.
Depth: How deep in the water we can still receive GPS messages in meters. Defaults to 2m.
DepthSigma/DepthCov: Covariance/Std of depth. Must be a scalar. Set one or the other. Defaults to 0 => no noise.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor
`sensor_data`	Get the sensor data buffer

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

property sensor_data

Get the sensor data buffer

Returns:: Current sensor data
Return type:: np.ndarray of size self.data_shape

class holoocean.sensors.HoloOceanSensor(client, agent_name=None, agent_type=None, name='DefaultSensor', config=None)

Base class for a sensor

Parameters:

client (HoloOceanClient) – Client attached to a sensor
agent_name (str) – Name of the parent agent
agent_type (str) – Type of the parent agent
name (str) – Name of the sensor
config (dict) – Configuration dictionary to pass to the engine

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor
`sensor_data`	Get the sensor data buffer

Methods:

rotate(rotation)

Rotate the sensor.

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

rotate(rotation)

Rotate the sensor. It will be applied in approximately three ticks. step() or tick().)

This will not persist after a call to reset(). If you want a persistent rotation for a sensor, specify it in your scenario configuration.

Parameters:: rotation (list of float) – rotation for sensor (see Rotations).

property sensor_data

Get the sensor data buffer

Returns:: Current sensor data
Return type:: np.ndarray of size self.data_shape

class holoocean.sensors.IMUSensor(client, agent_name, agent_type, name='IMUSensor', config=None)

Inertial Measurement Unit sensor.

Returns a 2D numpy array of:

[ [accel_x, accel_y, accel_z],
  [ang_vel_roll,  ang_vel_pitch, ang_vel_yaw],
  [accel_bias_x, accel_bias_y, accel_bias_z],
  [ang_vel_bias_roll,  ang_vel_bias_pitch, ang_vel_bias_yaw]    ]

where the accleration components are in m/s and the angular velocity is in rad/s.

Configuration

The configuration block (see Configuration Block) accepts the following options:

AccelSigma/AccelCov: Covariance/Std for acceleration component. Can be scalar, 3-vector or 3x3-matrix. Set one or the other. Defaults to 0 => no noise.
AngVelSigma/AngVelCov: Covariance/Std for angular velocity component. Can be scalar, 3-vector or 3x3-matrix. Set one or the other. Defaults to 0 => no noise.
AccelBiasSigma/AccelCBiasov: Covariance/Std for acceleration bias component. Can be scalar, 3-vector or 3x3-matrix. Set one or the other. Defaults to 0 => no noise.
AngVelBiasSigma/AngVelBiasCov: Covariance/Std for acceleration bias component. Can be scalar, 3-vector or 3x3-matrix. Set one or the other. Defaults to 0 => no noise.
ReturnBias: Whether the sensor should return the bias along with accel/ang. vel. Defaults to false.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.ImagingSonar(client, agent_name, agent_type, name='ImagingSonar', config=None)

Simulates an imaging sonar. See Configuring Octree for more on how to configure the octree that is used.

The configuration block (see Configuration Block) accepts any of the options in the following sections.

Basic Configuration

Azimuth: Azimuth (side to side) angle visible in degrees, defaults to 120.
Elevation: Elevation angle (up and down) visible in degrees, defaults to 20.
RangeMin: Minimum range visible in meters, defaults to 0.1.
RangeMax: Maximum range visible in meters, defaults to 10.
RangeBins/RangeRes: Number of range bins of resulting image, or resolution (length in meters) of each bin. Set one or the other. Defaults to 512 bins.
AzimuthBins/AzimuthRes: Number of azimuth bins of resulting image, or resolution (length in degrees) of each bin. Set one or the other. Defaults to 512 bins.

Noise Configuration

AddSigma/AddCov: Additive noise std/covariance from a Rayleigh distribution. Needs to be a float. Set one or the other. Defaults to 0, or off.
MultSigma/MultCov: Multiplication noise std/covariance from a normal distribution. Needs to be a float. Set one or the other. Defaults to 0, or off.
MultiPath: Whether to compute multipath or not. Defaults to False.
ClusterSize: Size of cluster when multipath is enabled. Defaults to 5.
ScaleNoise: Whether to scale the returned intensities or not. Defaults to False.
AzimuthStreaks: What sort of azimuth artifacts to introduce. -1 is a removal artifact, 0 is no artifact, and 1 is increased gain artifact. Defaults to 0.
RangeSigma: Additive noise std from an exponential distribution that will be added to the range measurements, and the intensities will be scaled by the pdf. Needs to be a float. Defaults to 0, or off.

Advanced Configuration

ShowWarning: Whether to show on screen warning about sonar computation happening. Defaults to True.
ElevationBins/ElevationRes: Number of elevation bins used when shadowing is done, or resolution (length in degrees) of each bin. Set one or the other. By default this is computed based on the octree size and the min/max range. Should only be set if shadowing isn’t working.
InitOctreeRange: Upon startup, all mid-level octrees within this distance of the agent will be created.
ViewRegion: Turns on green lines to see visible region. Defaults to False.
ViewOctree: What octree leaves to show. Less than -1 means none, -1 means all, and anything greater than or equal to 0 shows the corresponding beam index. Defaults to -10.
ShadowEpsilon: What constitutes a break between clusters when shadowing. Defaults to 4*OctreeMin.
WaterDensity: Density of water in kg/m^3. Defaults to 997.
WaterSpeedSound: Speed of sound in water in m/s. Defaults to 1480.
UseApprox: Whether to use the faster approximation of Atan2 or the slower exact implementation. Defaults to True.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.LocationSensor(client, agent_name, agent_type, name='LocationSensor', config=None)

Gets the location of the agent in the world.

Returns coordinates in [x, y, z] format (see Coordinate System)

Configuration

The configuration block (see Configuration Block) accepts the following options:

Sigma/Cov: Covariance/Std. Can be scalar, 3-vector or 3x3-matrix. Set one or the other. Defaults to 0 => no noise.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.MagnetometerSensor(client, agent_name, agent_type, name='MagnetometerSensor', config=None)

Gets the global x-axis (or given vector) in the local frame.

Configuration

The configuration block (see Configuration Block) accepts the following options:

Sigma/Cov: Covariance/Std of measurement. Can be scalar, 3-vector or 3x3-matrix. Set one or the other. Defaults to 0 => no noise.
MagneticVector: The given 3-vector to measure in the global frame. Defaults to [1,0,0].

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.OpticalModemSensor(client, agent_name, agent_type, name='OpticalModemSensor', config=None)

Handles communication between agents using an optical modem. Can send message to other modem from the send_optical_message() command.

Configuration

The configuration block (see Configuration Block) accepts the following options:

id: Id of this sensor. If not given, they are numbered sequentially.
MaxDistance: Max Distance in meters of OpticalModem. Used when sending data. (default 50)
DistanceSigma/DistanceCov: Determines the standard deviation/covariance of the noise on MaxDistance. Must be scalar value. (default 0 => no noise)
LaserAngle: Angle of lasers from origin. Measured in degrees. Used when sending data. (default 60)
AngleSigma/AngleCov: Determines the standard deviation of the noise on LaserAngle. Must be scalar value. (default 0 => no noise)
LaserDebug: Show debug traces. (default false)
DebugNumSides: Number of sides on the debug cone. (default 72)

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor
`sensor_data`	Get the sensor data buffer

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

property sensor_data

Get the sensor data buffer

Returns:: Current sensor data
Return type:: np.ndarray of size self.data_shape

class holoocean.sensors.OrientationSensor(client, agent_name=None, agent_type=None, name='DefaultSensor', config=None)

Gets the forward, right, and up vector for the agent. Note that this is based on the sensor’s frame, not the agent’s frame so in the IMU socket, it will be NED, and in COM socket it will NWU. Our provided configurations have the sensor in the IMU socket.

Returns a 2D numpy array of

[ [forward_x, right_x, up_x],
  [forward_y, right_y, up_y],
  [forward_z, right_z, up_z] ]

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.PoseSensor(client, agent_name=None, agent_type=None, name='DefaultSensor', config=None)

Gets the forward, right, and up vector for the agent. Note that this is based on the sensor’s frame, not the agent’s frame so in the IMU socket, it will be NED, and in COM socket it will NWU. Our provided configurations have the sensor in the IMU socket.

Returns a 2D numpy array of

[ [R, p],
  [0, 1] ]

where R is the rotation matrix (See OrientationSensor) and p is the robot world location (see LocationSensor)

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.ProfilingSonar(client, agent_name, agent_type, name='ProfilingSonar', config=None)

Simulates a multibeam profiling sonar. This is largely based off of the imaging sonar (ImagingSonar), just with different defaults. See Configuring Octree for more on how to configure the octree that is used.

The configuration block (see Configuration Block) accepts any of the options in the following sections.

Basic Configuration

Azimuth: Azimuth (side to side) angle visible in degrees, defaults to 120.
Elevation: Elevation angle (up and down) visible in degrees, defaults to 1.
RangeMin: Minimum range visible in meters, defaults to 0.5.
RangeMax: Maximum range visible in meters, defaults to 75.
RangeBins/RangeRes: Number of range bins of resulting image, or resolution (length in meters) of each bin. Set one or the other. Defaults to 750 bins.
AzimuthBins/AzimuthRes: Number of azimuth bins of resulting image, or resolution (length in degrees) of each bin. Set one or the other. Defaults to 480 bins.

Noise Configuration

AddSigma/AddCov: Additive noise std/covariance from a Rayleigh distribution. Needs to be a float. Set one or the other. Defaults to 0, or off.
MultSigma/MultCov: Multiplication noise std/covariance from a normal distribution. Needs to be a float. Set one or the other. Defaults to 0, or off.
MultiPath: Whether to compute multipath or not. Defaults to False.
ClusterSize: Size of cluster when multipath is enabled. Defaults to 5.
ScaleNoise: Whether to scale the returned intensities or not. Defaults to False.
AzimuthStreaks: What sort of azimuth artifacts to introduce. -1 is a removal artifact, 0 is no artifact, and 1 is increased gain artifact. Defaults to 0.

Advanced Configuration

ShowWarning: Whether to show on screen warning about sonar computation happening. Defaults to True.
ElevationBins/ElevationRes: Number of elevation bins used when shadowing is done, or resolution (length in degrees) of each bin. Set one or the other. By default this is computed based on the octree size and the min/max range. Should only be set if shadowing isn’t working.
InitOctreeRange: Upon startup, all mid-level octrees within this distance of the agent will be created.
ViewRegion: Turns on green lines to see visible region. Defaults to False.
ViewOctree: What octree leaves to show. Less than -1 means none, -1 means all, and anything greater than or equal to 0 shows the corresponding beam index. Defaults to -10.
ShadowEpsilon: What constitutes a break between clusters when shadowing. Defaults to 4*OctreeMin.
WaterDensity: Density of water in kg/m^3. Defaults to 997.
WaterSpeedSound: Speed of sound in water in m/s. Defaults to 1480.
UseApprox: Whether to use the faster approximation of Atan2 or the slower exact implementation. Defaults to True.

class holoocean.sensors.RGBCamera(client, agent_name, agent_type, name='RGBCamera', config=None)

Captures agent’s view.

The default capture resolution is 256x256x256x4, corresponding to the RGBA channels. The resolution can be increased, but will significantly impact performance.

Configuration

The configuration block (see Configuration Block) accepts the following options:

CaptureWidth: Width of captured image
CaptureHeight: Height of captured image

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

Methods:

set_ticks_per_capture(ticks_per_capture)

Sets this RGBCamera to capture a new frame every ticks_per_capture.

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

set_ticks_per_capture(ticks_per_capture)

Sets this RGBCamera to capture a new frame every ticks_per_capture.

The sensor’s image will remain unchanged between captures.

This method must be called after every call to env.reset.

Parameters:: ticks_per_capture (int) – The amount of ticks to wait between camera captures.

class holoocean.sensors.RGBDCamera(client, agent_name, agent_type, name='RGBDCamera', config=None)

*WIP: need to fully test this sensor*

Captures agent’s view.

The default capture resolution is 256x256x256x4, corresponding to the RGBA channels. The resolution can be increased, but will significantly impact performance.

Configuration

The configuration block (see Configuration Block) accepts the following options:

CaptureWidth (int): Width of captured image
- CaptureHeight (int): Height of captured image
- FovAngle (float): FOV of the Camera (default: 90, min: 0.001, max: 360.0)
- TargetGamma (float): Target Gamma of the Camera (default: 1.0)
- ExposureMethod (string): Luminance computation method. Four options: AEM_Histogram, AEM_Basic, AEM_Manual, and AEM_MAX
- ExposureCompensation (float): Logarithmic adjustment for the exposure. Only used if a tonemapper is specified. Exposure compensation. Pretested worlds we decided that 4 looked the best (default: 4, min: -15.0, max: 15.0)
- ShutterSpeed (float): The camera shutter in seconds. In Unreal, this only affects exposure. (default: 60, min: 1.0, max: 2000.0)
- ISO (float): The camera sensor sensitivity in ISO. (default: 100.0, min: 1.0)
- Aperature (float): Defines the opening of the camera lens, Aperture is 1/fstop, typical lens go down to f/1.2 (large opening), larger numbers reduce the DOF effect (default: 4.0, min: 1.0, max: 32.0)
- FocalDistance (float): Distance in which the Depth of Field effect should be sharp, in unreal units (cm) (default: disabled (i.e. 0.0 in Unreal), min: 0.0, max: 10000.0)
- DepthBlurAmount (float): Depth Blur km for 50% (default: disabled (but set to 1.0), min: 0.000001, max: 100.0)
- DepthBlurRadius (float): CircleDOF only: Depth blur radius in pixels at 1920x (default: 0.0. min: 0.0, max: 4.0)
- BladeCount (int): Depth of Field Blade Count. Defines the number of blades of the diaphragm within the lens (min: 4, max: 16)
- DepthOfFieldMinFstop (float): Defines the maximum opening of the camera lens to control the curvature of blades of the diaphragm. Set it to 0 to get straight blades. (min: 0.0, max: 32.0)
- FilmSlope (float): Film Slope (default: disabled, min: 0.0, max: 1.0)
- FilmToe (float): Film Toe (default: disabled, min: 0.0, max: 1.0)
- FilmShoulder (float): Overrides the base Film Shoulder (default: disabled, min: 0.0, max: 1.0)
- FilmBlackClip (float): Overrides the baseFilm Black Clip (default: disabled, min: 0.0, max: 1.0)
- FilmWhiteClip (float): Overrides the baseFile White Clip (default: disabled, min: 0.0, max: 1.0)
- ``ExposureMinBrightness (float): Auto-Exposure minimum adaptation. Eye Adaptation is disabled if Min = Max. (default: disabled, min: -10.0, max: 20.0)
- ``ExposureMaxBrightness (float): Auto-Exposure maximum adaptation. Eye Adaptation is disabled if Min = Max. (default: disabled, min: -10.0, max: 20.0)
- ExposureSpeedDown (float): Overrides base auto exposure speed down (default: disabled, min: 0.02, max: 20.0)
- ExposureSpeedUp (float): Overrides base auto exposure speed up (default: disabled, min: 0.02, max: 20.0)
- MotionBlurIntensity (float): /** Strength of motion blur, 0:off */ (default: disabled, min: 0.0, max: 1.0)
- MotionBlurMaxDistortion (float): max distortion caused by motion blur, in percent of the screen width, 0:off (default: disabled, min: 0.0, max: 1.0)
- MotionBlurMinObjectScreenSize (float): The minimum projected screen radius for a primitive to be drawn in the velocity pass, percentage of screen width. smaller numbers cause more draw calls, default: 4% (default: 2, min: 0.0, max: 100.0)
- LensFlareIntensity (float): Brightness scale of the image cased lens flares (linear) (default: disabled, min: 0.0, max: 16.0)
- BloomIntensity (float): Multiplier for all bloom contributions >=0: off, 1(default), >1 brighter (default: 1.0, min: 0.0, max: 8.0)
- WhiteTemp (float): Color Grading Temperature (default: disabled, min: 1500.0, max: 15000.0)
- WhiteTint (float): Color Grading Tint (default: disabled, min: -1.0, max: 1.0)
- ChromAberrIntensity (float): in percent, Scene chromatic aberration / color fringe (camera imperfection) to simulate an artifact that happens in real-world lens, mostly visible in the image corners. (default: disabled, min: 0.0, max: 5.0)
- ChromAberrOffset (float): A normalized distance to the center of the framebuffer where the effect takes place. (default: disabled, min: 0.0, max: 1.0)
- MaxViewDistanceOverride (float): if > 0, sets a maximum render distance override. Can be used to cull distant objects from a reflection if the reflecting plane is in an enclosed area like a hallway or room (default: disabled, min: 100, max: 10000)

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor
`sensor_data`	Get the sensor data buffer

Methods:

set_ticks_per_capture(ticks_per_capture)

Sets this RGBDCamera to capture a new frame every ticks_per_capture.

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

property sensor_data

Get the sensor data buffer

Returns:: Current sensor data
Return type:: np.ndarray of size self.data_shape

set_ticks_per_capture(ticks_per_capture)

Sets this RGBDCamera to capture a new frame every ticks_per_capture.

The sensor’s image will remain unchanged between captures.

This method must be called after every call to env.reset.

Parameters:: ticks_per_capture (int) – The amount of ticks to wait between camera captures.

class holoocean.sensors.RangeFinderSensor(client, agent_name, agent_type, name='RangeFinderSensor', config=None)

Returns distances to nearest collisions in the directions specified by the parameters. For example, if an agent had two range sensors at different angles with 24 lasers each, the LaserDebug traces would look something like this:

That is, for 1 laser, you’d have 1 laser facing forward, for 3, you’d have one forward, with the other 2 distributed evenly along the circle, at 120 degree intervals, and for 24, you’d have a laser spaced every 15 degrees.

Configuration

The configuration block (see Configuration Block) accepts the following options:

LaserMaxDistance: Max Distance in meters of RangeFinder. (default 10)
LaserCount: Number of lasers in sensor. Lasers are distributed evenly along the cone defined by laser angle. (default 1)
LaserAngle: Angle of elevation of lasers from origin. Measured in degrees. Straight up would be 90 degrees, down would be -90. (default 0)
LaserDebug: Show debug traces. (default false)

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.RaycastLidar(client, agent_name, agent_type, name='RaycastLidar', config=None)

*WIP: need to fully test this senssor* Runs Agent’s Lidar

Configuration

The configuration block (see Configuration Block) accepts the following options:

Channels (int): Number of lasers (default: 32)
Range (float): How far each of the lasers can go (default: 500.0)
PointsPerSecond (int): Number of points per second (default: 56000)
RotationFrequency (float): Lidar rotation frequency (default: 10.0)
UpperFovLimit (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 10.0)
LowerFovLimit (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: -30.0)
HorizontalFov (float): Horizontal field of view (default: 360.0)
AtmospAttenRate (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0.004)
RandomSeed (int): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0)
DropOffGenRate (float): General drop off rate (default: 0.45)
DropOffGenRate (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0.45)
DropOffIntensityLimit (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0.8)
DropOffAtZeroIntensity (float): General drop off rate. (default: 0.4)
ShowDebugPoints (bool): Whether to show debug points of laser hits in simulator. (default: false)
NoiseStdDev (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0)

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor
`sensor_data`	Get the sensor data buffer

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

property sensor_data

Get the sensor data buffer

Returns:: Current sensor data
Return type:: np.ndarray of size self.data_shape

class holoocean.sensors.RaycastSemanticLidar(client, agent_name, agent_type, name='RaycastSemanticLidar', config=None)

*WIP: need to fully test this senssor* Runs Agent’s Lidar

Configuration

The configuration block (see Configuration Block) accepts the following options:

Channels (int): Number of lasers (default: 32)
Range (float): How far each of the lasers can go (default: 500.0)
PointsPerSecond (int): Number of points per second (default: 56000)
RotationFrequency (float): Lidar rotation frequency (default: 10.0)
UpperFovLimit (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 10.0)
LowerFovLimit (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: -30.0)
HorizontalFov (float): Horizontal field of view (default: 360.0)
AtmospAttenRate (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0.004)
RandomSeed (int): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0)
DropOffGenRate (float): General drop off rate (default: 0.45)
DropOffGenRate (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0.45)
DropOffIntensityLimit (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0.8)
DropOffAtZeroIntensity (float): General drop off rate. (default: 0.4)
ShowDebugPoints (bool): Whether to show debug points of laser hits in simulator. (default: false)
NoiseStdDev (float): Upper laser angle, counts from horizontal, positive values means above horizontal line (default: 0)

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor
`sensor_data`	Get the sensor data buffer

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

property sensor_data

Get the sensor data buffer

Returns:: Current sensor data
Return type:: np.ndarray of size self.data_shape

class holoocean.sensors.RotationSensor(client, agent_name=None, agent_type=None, name='DefaultSensor', config=None)

Gets the rotation of the agent in the world, with rotation XYZ about the fixed frame, in degrees.

Returns [roll, pitch, yaw] (see Rotations)

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.SemanticSegmentationCamera(client, agent_name, agent_type, name='SemanticSegmentationCamera', config=None)

*WIP: need to fully test this senssor* Captures agent’s view.

The default capture resolution is 256x256x256x4, corresponding to the RGBA channels. The resolution can be increased, but will significantly impact performance.

Configuration

The configuration block (see Configuration Block) accepts the following options:

CaptureWidth: Width of captured image
CaptureHeight: Height of captured image

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

Methods:

set_ticks_per_capture(ticks_per_capture)

Sets this SemanticSegmentationCamera to capture a new frame every ticks_per_capture.

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

set_ticks_per_capture(ticks_per_capture)

Sets this SemanticSegmentationCamera to capture a new frame every ticks_per_capture.

The sensor’s image will remain unchanged between captures.

This method must be called after every call to env.reset.

Parameters:: ticks_per_capture (int) – The amount of ticks to wait between camera captures.

class holoocean.sensors.SensorDefinition(agent_name, agent_type, sensor_name, sensor_type, socket='', location=(0, 0, 0), rotation=(0, 0, 0), config=None, existing=False, lcm_channel=None, tick_every=None)

A class for new sensors and their parameters, to be used for adding new sensors.

Parameters:

agent_name (str) – The name of the parent agent.
agent_type (str) – The type of the parent agent
sensor_name (str) – The name of the sensor.
sensor_type (str or HoloOceanSensor) – The type of the sensor.
socket (str, optional) – The name of the socket to attach sensor to.
location (Tuple of float, optional) – [x, y, z] coordinates to place sensor relative to agent (or socket) (see Coordinate System).
rotation (Tuple of float, optional) – [roll, pitch, yaw] to rotate sensor relative to agent (see Rotations)
config (dict) – Configuration dictionary for the sensor, to pass to engine

Methods:

get_config_json_string()

Gets the configuration dictionary as a string ready for transport

get_config_json_string()

Gets the configuration dictionary as a string ready for transport

Returns:: The configuration as an escaped json string
Return type:: (str)

class holoocean.sensors.SensorFactory

Given a sensor definition, constructs the appropriate HoloOceanSensor object.

Methods:

build_sensor(client, sensor_def)

Constructs a given sensor associated with client

static build_sensor(client, sensor_def)

Constructs a given sensor associated with client

Parameters:

client (str) – Name of the agent this sensor is attached to
sensor_def (SensorDefinition) – Sensor definition to construct

Returns:

class holoocean.sensors.SidescanSonar(client, agent_name, agent_type, name='SidescanSonar', config=None)

Simulates a sidescan sonar. See Configuring Octree for more on how to configure the octree that is used.

The configuration block (see Configuration Block) accepts any of the options in the following sections.

Basic Configuration

Azimuth: Azimuth (side to side) angle visible in degrees, defaults to 170.
Elevation: Elevation angle (up and down) visible in degrees, defaults to 0.25.
RangeMin: Minimum range visible in meters, defaults to 0.5.
RangeMax: Maximum range visible in meters, defaults to 35.
RangeBins/RangeRes: Number of range bins of resulting image, or resolution (length in meters) of each bin. Set one or the other. Defaults to 0.05 m.

Noise Configuration

AddSigma/AddCov: Additive noise std/covariance from a Rayleigh distribution. Needs to be a float. Set one or the other. Defaults to 0, or off.
MultSigma/MultCov: Multiplication noise std/covariance from a normal distribution. Needs to be a float. Set one or the other. Defaults to 0, or off.

Advanced Configuration

ShowWarning: Whether to show on screen warning about sonar computation happening. Defaults to True.
AzimuthBins/AzimuthRes: Number of azimuth bins of resulting image, or resolution (length in degrees) of each bin. Set one or the other. By default this is computed based on the OctreeMin.
ElevationBins/ElevationRes: Number of elevation bins used when shadowing is done, or resolution (length in degrees) of each bin. Set one or the other. By default this is computed based on the octree size and the min range. Should only be set if shadowing isn’t working.
InitOctreeRange: Upon startup, all mid-level octrees within this distance of the agent will be created.
ViewRegion: Turns on green lines to see visible region. Defaults to False.
ViewOctree: What octree leaves to show. Less than -1 means none, -1 means all, and anything greater than or equal to 0 shows the corresponding beam index. Defaults to -10.
ShadowEpsilon: What constitutes a break between clusters when shadowing. Defaults to 4*OctreeMin.
WaterDensity: Density of water in kg/m^3. Defaults to 997.
WaterSpeedSound: Speed of sound in water in m/s. Defaults to 1480.
UseApprox: Whether to use the faster approximation of Atan2 or the slower exact implementation. Defaults to True.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.SinglebeamSonar(client, agent_name, agent_type, name='SinglebeamSonar', config=None)

Simulates an echosounder, which is a sonar sensor with a single cone shaped beam. See Configuring Octree for more on how to configure the octree that is used.

Returns a 1D numpy array of the average intensities held in each range bin of the sensor. The length of the array is specified by the number of range bins chosen for the sensor.

Configuration

The configuration block (see Configuration Block) accepts the following options:

The configuration block (see Configuration Block) accepts any of the options in the following sections.

Basic Configuration

OpeningAngle: Opening angle of the cone visible in degrees, defaults to 30. In this documentation, the opening angle would be 2 times the semi-vertical angle of the cone.
RangeMin: Minimum range visible in meters, defaults to 0.5.
RangeMax: Maximum range visible in meters, defaults to 10.
RangeBins/RangeRes: Number of range bins of resulting image, or resolution (length in meters) of each bin. Set one or the other. Defaults to 200 bins.

Noise Configuration

AddSigma/AddCov: Additive noise std/covariance from a Rayleigh distribution. Needs to be a float. Set one or the other. Defaults to 0, or off.
MultSigma/MultCov: Multiplication noise std/covariance from a normal distribution. Needs to be a float. Set one or the other. Defaults to 0, or off.
RangeSigma: Additive noise std from an exponential distribution that will be added to the range measurements. Needs to be a float. Defaults to 0/off.

Advanced Configuration

ShowWarning: Whether to show on screen warning about sonar computation happening. Defaults to True.
OpeningAngleBins/OpeningAngleRes: Number of OpeningAngle bins used when shadowing is done, or resolution (length in degrees) of each bin. Set one or the other. By default this is computed based on the octree size and the min/max range. Should only be set if shadowing isn’t working.
CentralAngleBins/CentralAngleRes: Number of CentralAngle bins used when shadowing is done, or resolution (length in degrees) of each bin. Set one or the other. By default this is computed based on the octree size and the min/max range. Should only be set if shadowing isn’t working.
InitOctreeRange: Upon startup, all mid-level octrees within this distance of the agent will be created.
ViewRegion: Turns on green lines to see visible region. Defaults to False.
ViewOctree: What octree leaves to show. Less than -1 means none, -1 means all, and anything greater than or equal to 0 shows the corresponding beam index. Defaults to -10.
ShadowEpsilon: What constitutes a break between clusters when shadowing. Defaults to 4*OctreeMin.
WaterDensity: Density of water in kg/m^3. Defaults to 997.
WaterSpeedSound: Speed of sound in water in m/s. Defaults to 1480.
UseApprox: Whether to use the faster approximation of Atan2 or the slower exact implementation. Defaults to True.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.VelocitySensor(client, agent_name=None, agent_type=None, name='DefaultSensor', config=None)

Returns the x, y, and z velocity of the sensor in the global frame.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.ViewportCapture(client, agent_name, agent_type, name='ViewportCapture', config=None)

Captures what the viewport is seeing.

The ViewportCapture is faster than the RGB camera, but there can only be one camera and it must capture what the viewport is capturing. If performance is critical, consider this camera instead of the RGBCamera.

It may be useful to position the camera with teleport_camera().

Configuration

The configuration block (see Configuration Block) accepts the following options:

CaptureWidth: Width of captured image
CaptureHeight: Height of captured image

THESE DIMENSIONS MUST MATCH THE VIEWPORT DIMENSTIONS

If you have configured the size of the viewport (window_height/width), you must make sure that CaptureWidth/Height of this configuration block is set to the same dimensions.

The default resolution is 1280x720, matching the default Viewport resolution.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype

class holoocean.sensors.WorldNumSensor(client, agent_name=None, agent_type=None, name='DefaultSensor', config=None)

Returns any numeric value from the world corresponding to a given key. This is world specific.

Attributes:

`data_shape`	The shape of the sensor data
`dtype`	The type of data in the sensor

property data_shape

The shape of the sensor data

Returns:: Sensor data shape
Return type:: tuple

property dtype

The type of data in the sensor

Returns:: Type of sensor data
Return type:: numpy dtype