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Commit 7d71b379 authored by cont-integration's avatar cont-integration
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[skip ci] yaml templates added or modified

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type: "NONE" # OPTIONAL - DOC Nothing to say here - TYPE string - OPTIONS [NONE]
\ No newline at end of file
type: "None" # OPTIONAL - DOC Nothing to say here - TYPE string - OPTIONS [None]
\ No newline at end of file
type: "whatever" # DOC The class name - TYPE string
plugin: "whatever" # DOC plugin where the class is implemented - TYPE string
\ No newline at end of file
type: "whatever" # DOC Type of the landmark - TYPE string
plugin: "core" # OPTIONAL - DOC Name of the wolf plugin where the landmark type is implemented. - TYPE string
id: 0 # DOC Unique id of the landmark. - TYPE int
external_id: 0 # OPTIONAL - DOC Id given by an external tracker via capture. Missing or -1 means untracked. - TYPE int
external_type: 0 # OPTIONAL - DOC Type given by an external identifier via capture (for example: 1: chair, 2: person...). Missing or -1 means uknown. - TYPE int
states:
P:
value: [0.0, 0.0] # DOC A vector containing the position (x, y) [m]. - TYPE Vector2d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector2d
O:
value: [0.0] # DOC A vector containing the orientation, yaw [rad]. - TYPE Vector1d
prior:
mode: "fix" # DOC It can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [rad]. - TYPE Vector1d
\ No newline at end of file
type: "whatever" # DOC Type of the landmark - TYPE string
plugin: "core" # OPTIONAL - DOC Name of the wolf plugin where the landmark type is implemented. - TYPE string
id: 0 # DOC Unique id of the landmark. - TYPE int
external_id: 0 # OPTIONAL - DOC Id given by an external tracker via capture. Missing or -1 means untracked. - TYPE int
external_type: 0 # OPTIONAL - DOC Type given by an external identifier via capture (for example: 1: chair, 2: person...). Missing or -1 means uknown. - TYPE int
states:
P:
value: [0.0, 0.0, 0.0] # DOC A vector containing the position (x, y, z) [m]. - TYPE Vector3d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector3d
O:
value: [0.0, 0.0, 0.0, 0.0] # DOC A vector containing the quaternion values (x, y, z, w) - TYPE Vector4d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [rad]. - TYPE Vector3d
\ No newline at end of file
type: "whatever" # DOC Type of the landmark - TYPE string
plugin: "core" # OPTIONAL - DOC Name of the wolf plugin where the landmark type is implemented. - TYPE string
id: 0 # DOC Unique id of the landmark. - TYPE int
external_id: 0 # OPTIONAL - DOC Id given by an external tracker via capture. Missing or -1 means untracked. - TYPE int
external_type: 0 # OPTIONAL - DOC Type given by an external identifier via capture (for example: 1: chair, 2: person...). Missing or -1 means uknown. - TYPE int
\ No newline at end of file
type: "whatever" # DOC Type of the Map used in the problem. - TYPE string
plugin: "whatever" # DOC Name of the wolf plugin where the map type is implemented. - TYPE string
landmarks:
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
\ No newline at end of file
type: "none" # OPTIONAL - DOC Nothing to say here - TYPE string - OPTIONS [none]
\ No newline at end of file
problem:
tree_manager:
type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
dimension: 2 # DOC Dimension of the problem. "2" for 2D or "3" for 3D - TYPE int - OPTIONS [2, 3]
map:
type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
sensors:
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
processors:
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
\ No newline at end of file
problem:
tree_manager:
type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
dimension: 2 # DOC Dimension of the problem: "2" for 2D - TYPE int - OPTIONS [2]
first_frame:
P:
value: [0.0, 0.0] # DOC A vector containing the position (x, y) [m]. - TYPE Vector2d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector2d
O:
value: [0.0] # DOC A vector containing the orientation, yaw [rad]. - TYPE Vector1d
prior:
mode: "fix" # DOC It can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [rad]. - TYPE Vector1d
V:
value: [0.0, 0.0] # DOC A vector containing the linear velocity components (x, y) [m]. - TYPE Vector2d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector2d
map:
type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
sensors:
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
processors:
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
\ No newline at end of file
problem:
tree_manager:
type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
dimension: 3 # DOC Dimension of the problem: "3" for 3D - TYPE int - OPTIONS [3]
first_frame:
P:
value: [0.0, 0.0, 0.0] # DOC A vector containing the position (x, y, z) [m]. - TYPE Vector3d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector3d
O:
value: [0.0, 0.0, 0.0, 0.0] # DOC A vector containing the quaternion values (x, y, z, w) - TYPE Vector4d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [rad]. - TYPE Vector3d
V:
value: [0.0, 0.0, 0.0] # DOC A vector containing the linear velocity components (x, y, z) [m]. - TYPE Vector3d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector3d
map:
type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
sensors:
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
processors:
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
- type: "DerivedType" # DOC String corresponding to the name of the object class (and its schema file).
follow: some/path/to/derived/type/parameters.yaml
\ No newline at end of file
value: [0.0] # DOC A vector containing the orientation, yaw [rad]. - TYPE Vector1d
prior:
mode: "fix" # DOC It can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [rad]. - TYPE Vector1d
\ No newline at end of file
value: [0.0, 0.0, 0.0, 0.0] # DOC A vector containing the quaternion values (x, y, z, w) - TYPE Vector4d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [rad]. - TYPE Vector3d
\ No newline at end of file
value: [0.0, 0.0] # DOC A vector containing the position (x, y) [m]. - TYPE Vector2d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector2d
\ No newline at end of file
value: [0.0, 0.0, 0.0] # DOC A vector containing the position (x, y, z) [m]. - TYPE Vector3d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector3d
\ No newline at end of file
value: [0.0, 0.0] # DOC A vector containing the linear velocity components (x, y) [m]. - TYPE Vector2d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector2d
\ No newline at end of file
value: [0.0, 0.0, 0.0] # DOC A vector containing the linear velocity components (x, y, z) [m]. - TYPE Vector3d
prior:
mode: "fix" # DOC Can be "factor" to add an absolute factor (with covariance defined in "factor_std"), "fix" to set the values constant or "initial_guess" to just set the values. - TYPE string - OPTIONS [fix, factor, initial_guess]
factor_std: [0.0, 0.0, 0.0] # MANDATORY if $mode == "factor" - DOC A vector containing the stdev values of the noise of the factor, i.e. the sqrt of the diagonal elements of the covariance matrix [m]. - TYPE Vector3d
\ No newline at end of file
state_provider: false # DOC If the processor is used by the problem as provider of state. - TYPE bool
state_provider_order: 0.0 # MANDATORY if $state_provider - DOC The order number of this processor when problem gets the state (only used if state_provider = true). Two processors cannot have the same priority (if so, when installing the second is increased). - TYPE double
\ No newline at end of file
type: "whatever" # DOC The class name - TYPE string
plugin: "whatever" # DOC plugin where the class is implemented - TYPE string
name: "whatever" # DOC The processor"s name. It has to be unique. - TYPE string
time_tolerance: 0.0 # DOC Maximum time difference between a Keyframe time stamp and a particular Capture of this processor to allow assigning this Capture to the Keyframe. [s]. - TYPE double
keyframe_vote:
voting_active: false # DOC If the processor is allowed to decide to create a frame. - TYPE bool
apply_loss_function: false # DOC If the factors created by the processor have loss function. - TYPE bool
\ No newline at end of file
type: "whatever" # DOC The class name - TYPE string
plugin: "whatever" # DOC plugin where the class is implemented - TYPE string
name: "whatever" # DOC The processor"s name. It has to be unique. - TYPE string
time_tolerance: 0.0 # DOC Maximum time difference between a Keyframe time stamp and a particular Capture of this processor to allow assigning this Capture to the Keyframe. [s]. - TYPE double
keyframe_vote:
voting_active: false # DOC If the processor is allowed to decide to create a frame. - TYPE bool
apply_loss_function: false # DOC If the factors created by the processor have loss function. - TYPE bool
sensor_name: "whatever" # DOC The name of the sensor corresponding to this processor. - TYPE string
\ No newline at end of file
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