Package | Description |
---|---|
org.opencv.core | |
org.opencv.dnn | |
org.opencv.face | |
org.opencv.features2d | |
org.opencv.objdetect | |
org.opencv.text | |
org.opencv.ximgproc |
Modifier and Type | Method and Description |
---|---|
static MatOfRect |
MatOfRect.fromNativeAddr(long addr) |
Modifier and Type | Method and Description |
---|---|
void |
DetectionModel.detect(Mat frame,
MatOfInt classIds,
MatOfFloat confidences,
MatOfRect boxes)
Given the
input frame, create input blob, run net and return result detections. |
void |
DetectionModel.detect(Mat frame,
MatOfInt classIds,
MatOfFloat confidences,
MatOfRect boxes,
float confThreshold)
Given the
input frame, create input blob, run net and return result detections. |
void |
DetectionModel.detect(Mat frame,
MatOfInt classIds,
MatOfFloat confidences,
MatOfRect boxes,
float confThreshold,
float nmsThreshold)
Given the
input frame, create input blob, run net and return result detections. |
Modifier and Type | Method and Description |
---|---|
boolean |
Facemark.fit(Mat image,
MatOfRect faces,
List<MatOfPoint2f> landmarks)
Detect facial landmarks from an image.
|
Modifier and Type | Method and Description |
---|---|
void |
MSER.detectRegions(Mat image,
List<MatOfPoint> msers,
MatOfRect bboxes)
Detect %MSER regions
|
Modifier and Type | Method and Description |
---|---|
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects)
Detects objects of different sizes in the input image.
|
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor)
Detects objects of different sizes in the input image.
|
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor,
int minNeighbors)
Detects objects of different sizes in the input image.
|
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor,
int minNeighbors,
int flags)
Detects objects of different sizes in the input image.
|
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize)
Detects objects of different sizes in the input image.
|
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize)
Detects objects of different sizes in the input image.
|
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights)
Detects objects of different sizes in the input image.
|
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold)
Detects objects of different sizes in the input image.
|
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride)
Detects objects of different sizes in the input image.
|
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride,
Size padding)
Detects objects of different sizes in the input image.
|
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride,
Size padding,
double scale)
Detects objects of different sizes in the input image.
|
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride,
Size padding,
double scale,
double finalThreshold)
Detects objects of different sizes in the input image.
|
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride,
Size padding,
double scale,
double finalThreshold,
boolean useMeanshiftGrouping)
Detects objects of different sizes in the input image.
|
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor,
int minNeighbors) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor,
int minNeighbors,
int flags) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize) |
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights)
This function allows you to retrieve the final stage decision certainty of classification.
|
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor)
This function allows you to retrieve the final stage decision certainty of classification.
|
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors)
This function allows you to retrieve the final stage decision certainty of classification.
|
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors,
int flags)
This function allows you to retrieve the final stage decision certainty of classification.
|
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize)
This function allows you to retrieve the final stage decision certainty of classification.
|
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize)
This function allows you to retrieve the final stage decision certainty of classification.
|
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize,
boolean outputRejectLevels)
This function allows you to retrieve the final stage decision certainty of classification.
|
static void |
Objdetect.groupRectangles(MatOfRect rectList,
MatOfInt weights,
int groupThreshold) |
static void |
Objdetect.groupRectangles(MatOfRect rectList,
MatOfInt weights,
int groupThreshold,
double eps) |
Modifier and Type | Method and Description |
---|---|
void |
TextDetectorCNN.detect(Mat inputImage,
MatOfRect Bbox,
MatOfFloat confidence) |
void |
TextDetector.detect(Mat inputImage,
MatOfRect Bbox,
MatOfFloat confidence)
Method that provides a quick and simple interface to detect text inside an image
|
static void |
Text.detectRegions(Mat image,
ERFilter er_filter1,
ERFilter er_filter2,
MatOfRect groups_rects)
Extracts text regions from image.
|
static void |
Text.detectRegions(Mat image,
ERFilter er_filter1,
ERFilter er_filter2,
MatOfRect groups_rects,
int method)
Extracts text regions from image.
|
static void |
Text.detectRegions(Mat image,
ERFilter er_filter1,
ERFilter er_filter2,
MatOfRect groups_rects,
int method,
String filename)
Extracts text regions from image.
|
static void |
Text.detectRegions(Mat image,
ERFilter er_filter1,
ERFilter er_filter2,
MatOfRect groups_rects,
int method,
String filename,
float minProbability)
Extracts text regions from image.
|
static void |
Text.erGrouping(Mat image,
Mat channel,
List<MatOfPoint> regions,
MatOfRect groups_rects)
Find groups of Extremal Regions that are organized as text blocks.
|
static void |
Text.erGrouping(Mat image,
Mat channel,
List<MatOfPoint> regions,
MatOfRect groups_rects,
int method)
Find groups of Extremal Regions that are organized as text blocks.
|
static void |
Text.erGrouping(Mat image,
Mat channel,
List<MatOfPoint> regions,
MatOfRect groups_rects,
int method,
String filename)
Find groups of Extremal Regions that are organized as text blocks.
|
static void |
Text.erGrouping(Mat image,
Mat channel,
List<MatOfPoint> regions,
MatOfRect groups_rects,
int method,
String filename,
float minProbablity)
Find groups of Extremal Regions that are organized as text blocks.
|
Modifier and Type | Method and Description |
---|---|
void |
EdgeBoxes.getBoundingBoxes(Mat edge_map,
Mat orientation_map,
MatOfRect boxes)
Returns array containing proposal boxes.
|
void |
EdgeBoxes.getBoundingBoxes(Mat edge_map,
Mat orientation_map,
MatOfRect boxes,
Mat scores)
Returns array containing proposal boxes.
|
void |
SelectiveSearchSegmentation.process(MatOfRect rects)
Based on all images, graph segmentations and stragies, computes all possible rects and return them
|
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