Auxilliary Tool:
A data structure that keeps track of how a classifier (specifically a cascaded classifier) is performing. This is useful for evaluating candidate features to add.
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#include <StructTypes.h>
Public Attributes | |
double | chisq |
Chi-Squared Error of Classifier evaluated on training set. Lower is better. | |
int | pos_rejects |
Number of positive examples rejected by classifier -- lower is better. | |
int | neg_rejects |
Number of negative examples rejected by classifier -- higher is better. | |
int | total_pos |
Total size of positive example pool. | |
int | total_neg |
Total size of negative example pool. | |
int | prev_pos_rejects |
Number of positive examples rejected by the classifier before, i.e. independent of the feature under consideration. | |
int | prev_neg_rejects |
Number of negative examples rejected by the classifier before, i.e. independent of the feature under consideration. | |
double | time_per_patch |
Time required to evaluate a patch with this feature. Lower is better. | |
double | threshold |
Rejection criterion used to generate these performance results. |
Auxilliary Tool:
A data structure that keeps track of how a classifier (specifically a cascaded classifier) is performing. This is useful for evaluating candidate features to add.