EMatcher::GetEnableEarlyCandidateRejection
EMatcher::SetEnableEarlyCandidateRejection
Whether to remove bad candidates in the early phases of the processing or not. Enabled by default.
Namespace: Euresys::Open_eVision
[C++]
bool GetEnableEarlyCandidateRejection() const
void SetEnableEarlyCandidateRejection(bool earlyCandidateRejection)
Remarks
To reduce the number of candidates, those failing to fill some criterion are removed. This makes processing faster, a downside is that some good candidates can be erroneously removed. We recommend setting this parameter to false if you observe that a slight change in the input conditions make processing fail. For example: changing the search ROI in the image slightly.
After disabling the early candidate rejection, you will probably have to increase EMatcher::MaxInitialPositions as more candidates will now be kept.
EMatcher.EnableEarlyCandidateRejection
Whether to remove bad candidates in the early phases of the processing or not. Enabled by default.
Namespace: Euresys.Open_eVision
[C#]
bool EnableEarlyCandidateRejection
{ get; set; }
Remarks
To reduce the number of candidates, those failing to fill some criterion are removed. This makes processing faster, a downside is that some good candidates can be erroneously removed. We recommend setting this parameter to false if you observe that a slight change in the input conditions make processing fail. For example: changing the search ROI in the image slightly.
After disabling the early candidate rejection, you will probably have to increase EMatcher.MaxInitialPositions as more candidates will now be kept.
EMatcher.EnableEarlyCandidateRejection
Whether to remove bad candidates in the early phases of the processing or not. Enabled by default.
Module: open_evision
[Python]
EnableEarlyCandidateRejection: bool
{get; set}
Remarks
To reduce the number of candidates, those failing to fill some criterion are removed. This makes processing faster, a downside is that some good candidates can be erroneously removed. We recommend setting this parameter to false if you observe that a slight change in the input conditions make processing fail. For example: changing the search ROI in the image slightly.
After disabling the early candidate rejection, you will probably have to increase EMatcher.MaxInitialPositions as more candidates will now be kept.