Image differences foreground model. More...
Public Member Functions | |
| def | __init__ (self, fgCfg=None, processor=None, fgIm=None) |
| Constructor for image differences foreground detector. More... | |
| def | adapt (self) |
| Update image differencing model based on recent measurement. More... | |
| def | correct (self) |
| Generate a correction to the model. More... | |
| def | detect (self, I, M=None) |
| Given a new measurement, apply the detection pipeline. More... | |
| def | displayState (self) |
| def | displayState (self) |
| def | emptyDebug (self) |
| Return empty debug state information. More... | |
| def | emptyState (self) |
| Return empty state. More... | |
| def | get (self) |
| def | getDebug (self) |
| Return current/latest debug state information. More... | |
| def | info (self) |
| Provide information about the current class implementation. More... | |
| def | measure (self, I, M=None) |
| Takes image and compares to existing model for detection. More... | |
| def | predict (self) |
| Predictive model of measurement. More... | |
| def | process (self, I) |
| Given a new measurement, apply entire FG modeling pipeline. More... | |
| def | set (self) |
 Public Member Functions inherited from fgAppearance | |
| def | __init__ (self, appMod, fgIm) |
| def | displayForeground_cv (self, ratio=None, window_name="Foreground") |
| def | getBackground (self) |
| def | getForeGround (self) |
| def | getState (self) |
| Return current/latest state. More... | |
| Public Member Functions inherited from fgImage | |
| def | __init__ (self, processor=None) |
| Public Member Functions inherited from inImage | |
| def | measure (self, I) |
| Generate detection measurements from image input. More... | |
| Public Member Functions inherited from Base | |
| def | __init__ (self) |
| Instantiate a detector Base activity class object. More... | |
| def | detect (self, signal) |
| Run detection only processing pipeline (no adaptation). More... | |
| def | save (self, fileName) |
| Outer method for saving to a file given as a string. More... | |
| def | saveTo (self, fPtr) |
| Empty method for saving internal information to HDF5 file. More... | |
Public Attributes | |
| config | |
| fgCnt | |
| fgIm | |
| improcessor | |
| imsize | |
| labelI | |
| lastI | |
| measI | |
| Public Attributes inherited from fgAppearance | |
| fgIm | |
| Public Attributes inherited from inImage | |
| Ip | |
| processor | |
| Public Attributes inherited from Base | |
| x | |
| Detection state. More... | |
Additional Inherited Members | |
| Static Public Member Functions inherited from Base | |
| def | load (fileName, relpath=None) |
| Outer method for loading file given as a string (with path). More... | |
| def | loadFrom (fPtr) |
| Empty method for loading internal information from HDF5 file. More... | |
Detailed Description
Image differences foreground model.
Core implementation of image difference-based foreground detection.
For configuration see CfgDifferences.
- Note
- A note on the improcessor. If the basic version is used, then it performs pre-processing. If a triple version is used, then the mid-processor will perform operations on the detected part rather than the default operations. The mid-processor can be used to test out different options for cleaning up the binary data.
Constructor & Destructor Documentation
◆ __init__()
| def __init__ | ( | self, | |
fgCfg = None, |
|||
processor = None, |
|||
fgIm = None |
|||
| ) |
Constructor for image differences foreground detector.
- Parameters
-
[in] fgCfg Detector configuration node. [in] processor Image processing to perform prior to/after processing.
Member Function Documentation
◆ adapt()
| def adapt | ( | self | ) |
Update image differencing model based on recent measurement.
Most basic version just keeps latext image.
Reimplemented from Base.
◆ correct()
| def correct | ( | self | ) |
Generate a correction to the model.
In standard schemes, there are no corrections to the estimates. The classification result is presumed to be correct. Corrections would imply some sort of temporal regularization. Spatial regularization is usually done through image-based mid-processing.
Reimplemented from Base.
◆ detect()
| def detect | ( | self, | |
| I, | |||
M = None |
|||
| ) |
Given a new measurement, apply the detection pipeline.
This only goes so far as to process the image and generate the detection, with correction. There is no adaptation. It should be run separately if desired.
Adaptation is important for differences if the objective is to see what is new in future frames, rather than new relative to first or initialized frame. Do not run this without other adjustments if the comparison image needs to update in time.
◆ displayState() [1/2]
| def displayState | ( | self | ) |
◆ displayState() [2/2]
| def displayState | ( | self | ) |
◆ emptyDebug()
| def emptyDebug | ( | self | ) |
Return empty debug state information.
Useful if contents needed beforehand.
Reimplemented from Base.
◆ emptyState()
| def emptyState | ( | self | ) |
◆ get()
| def get | ( | self | ) |
◆ getDebug()
| def getDebug | ( | self | ) |
Return current/latest debug state information.
Usually the debug state consists of internally computed information that is useful for debugging purposes and can help to isolate problems within the implemented class or with downstream processing that may rely on assumptions built into this implemented class.
Reimplemented from Base.
◆ info()
| def info | ( | self | ) |
Provide information about the current class implementation.
Exists for reproducibility purposes. Usually stores the factory information used to build the current class instance.
Reimplemented from inImage.
◆ measure()
| def measure | ( | self, | |
| I, | |||
M = None |
|||
| ) |
Takes image and compares to existing model for detection.
- Parameters
-
[in] I Image to process.
◆ predict()
| def predict | ( | self | ) |
Predictive model of measurement.
In standard schemes, the expectation is that the background model is static (a constant state model). Thus, the default prediction is no update.
Reimplemented from Base.
◆ process()
| def process | ( | self, | |
| I | |||
| ) |
Given a new measurement, apply entire FG modeling pipeline.
- Parameters
-
[in] I New image measurement.
Reimplemented from Base.
◆ set()
| def set | ( | self | ) |
Member Data Documentation
◆ config
| config |
◆ fgCnt
| fgCnt |
◆ fgIm
| fgIm |
◆ improcessor
| improcessor |
◆ imsize
| imsize |
◆ labelI
| labelI |
◆ lastI
| lastI |
◆ measI
| measI |
The documentation for this class was generated from the following file:
- /home/pvela/python/detector/detector/fgmodel/differences.py
