| Package | Description |
|---|---|
| org.openimaj.image.objectdetection.haar | |
| org.openimaj.image.objectdetection.haar.training |
| Modifier and Type | Method and Description |
|---|---|
float |
ValueClassifier.classify(SummedSqTiltAreaTable sat,
float wvNorm,
int x,
int y) |
float |
HaarFeatureClassifier.classify(SummedSqTiltAreaTable sat,
float wvNorm,
int x,
int y) |
float |
Classifier.classify(SummedSqTiltAreaTable sat,
float wvNorm,
int x,
int y)
Get the classification score for the window at (x, y) with the size
defined by scale.
|
int |
StageTreeClassifier.classify(SummedSqTiltAreaTable sat,
int x,
int y)
Apply the classifier to the given image at the given position.
|
abstract float |
HaarFeature.computeResponse(SummedSqTiltAreaTable sat,
int x,
int y)
Compute the response of this feature at the given location.
|
protected void |
MultiThreadedDetector.detectAtScale(SummedSqTiltAreaTable sat,
int startX,
int stopX,
int startY,
int stopY,
float ystep,
int windowWidth,
int windowHeight,
List<Rectangle> results) |
protected void |
Detector.detectAtScale(SummedSqTiltAreaTable sat,
int startX,
int stopX,
int startY,
int stopY,
float ystep,
int windowWidth,
int windowHeight,
List<Rectangle> results)
Perform detection at a single scale.
|
boolean |
Stage.pass(SummedSqTiltAreaTable sat,
float wvNorm,
int x,
int y)
Test whether a stage passes.
|
| Constructor and Description |
|---|
BasicTrainingData(List<SummedSqTiltAreaTable> positive,
List<SummedSqTiltAreaTable> negative,
List<HaarFeature> features) |
BasicTrainingData(List<SummedSqTiltAreaTable> positive,
List<SummedSqTiltAreaTable> negative,
List<HaarFeature> features) |
CachedTrainingData(List<SummedSqTiltAreaTable> positive,
List<SummedSqTiltAreaTable> negative,
List<HaarFeature> features) |
CachedTrainingData(List<SummedSqTiltAreaTable> positive,
List<SummedSqTiltAreaTable> negative,
List<HaarFeature> features) |