Configuration setting specifier for Gaussian BG model. More...
Inheritance diagram for CfgGMM_cv:
Collaboration diagram for CfgGMM_cv:
Public Member Functions | |
| def | __init__ (self, init_dict=None, key_list=None, new_allowed=True) |
 Public Member Functions inherited from AlgConfig | |
| def | dump (self, **kwargs) |
Static Public Member Functions | |
| def | builtForLearning () |
| def | get_default_settings () |
| Defines most basic, default settings for RealSense D435. More... | |
Detailed Description
Configuration setting specifier for Gaussian BG model.
- Note
- Currently not using a CfgBGModel super class. Should there be one?
- What about config from bgImage class? Doesn't exist as of [24/02/08]
Constructor & Destructor Documentation
◆ __init__()
| def __init__ | ( | self, | |
init_dict = None, |
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key_list = None, |
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new_allowed = True |
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| ) |
Reimplemented from AlgConfig.
Member Function Documentation
◆ builtForLearning()
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static |
◆ get_default_settings()
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static |
Defines most basic, default settings for RealSense D435.
Using default settings that were found to work well for IVALab setups. Something has to be used as default. Actual deployment should be based on saved calibration of deployment scene. In our case, detecting shadows is not particularly helpful, hence the default of False for that case.
Due to OpenCV implementation, no adaptation involved turning off the update by setting the learning rate to 0 (i.e., alpha = 0).
- Parameters
-
[out] default_dict Dictionary populated with minimal set of default settings.
The documentation for this class was generated from the following file:
- /home/pvela/python/detector/detector/bgmodel/GMM.py
