This file contains the AutoSelector class which can be used to create filter setting proposals form a knowledge-base. More...
Classes | |
class | AutoSelector |
This class is used to generate proposals for filter settings. More... | |
Functions | |
def | _get_parameter_combinations |
Returns a finite set of parameter combinations that can be used as filter settings for an image area. | |
def | auto_select_handler |
Handler for service requests. | |
def | init_service |
Init a service node with name experience_autoselector and type experience_request. | |
def | normalize |
Normalize a value, that is in the finite domain between and , to a new value between and . |
This file contains the AutoSelector class which can be used to create filter setting proposals form a knowledge-base.
When this file is executed as main script it initializes a rosservice called "experience_autoselector". See service file srv/experience_request.srv
def face_contour_detector.learing.auto_selector._get_parameter_combinations | ( | ) | [private] |
Returns a finite set of parameter combinations that can be used as filter settings for an image area.
Definition at line 169 of file auto_selector.py.
Handler for service requests.
req | the request, see experience_request |
Definition at line 186 of file auto_selector.py.
Init a service node with name experience_autoselector and type experience_request.
Definition at line 196 of file auto_selector.py.
def face_contour_detector.learing.auto_selector.normalize | ( | value, | |
min_value, | |||
max_value, | |||
norm_min, | |||
norm_max | |||
) |
Normalize a value, that is in the finite domain between and , to a new value between and .
value | the value to normalize |
min_value | minimal value of the old domain |
max_value | maximal value of the old domain |
norm_min | minimal value of the new domain |
norm_max | maximal value of the new domain |
Definition at line 165 of file auto_selector.py.