Modifier and Type | Method and Description |
---|---|
static MatOfInt |
MatOfInt.fromNativeAddr(long addr) |
static MatOfInt |
MatOfInt.fromNativeAddr(long addr) |
Modifier and Type | Method and Description |
---|---|
static void |
Core.mixChannels(List<Mat> src,
List<Mat> dst,
MatOfInt fromTo) |
static void |
Core.mixChannels(List<Mat> src,
List<Mat> dst,
MatOfInt fromTo) |
static void |
Core.transposeND(Mat src,
MatOfInt order,
Mat dst)
Transpose for n-dimensional matrices.
|
static void |
Core.transposeND(Mat src,
MatOfInt order,
Mat dst)
Transpose for n-dimensional matrices.
|
Modifier and Type | Method and Description |
---|---|
MatOfInt |
Net.getUnconnectedOutLayers()
Returns indexes of layers with unconnected outputs.
|
MatOfInt |
Net.getUnconnectedOutLayers()
Returns indexes of layers with unconnected outputs.
|
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)
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)
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. |
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. |
long |
Net.getFLOPS(int layerId,
MatOfInt netInputShape) |
long |
Net.getFLOPS(int layerId,
MatOfInt netInputShape) |
long |
Net.getFLOPS(MatOfInt netInputShape) |
long |
Net.getFLOPS(MatOfInt netInputShape) |
void |
Net.getInputDetails(MatOfFloat scales,
MatOfInt zeropoints)
Returns input scale and zeropoint for a quantized Net.
|
void |
Net.getInputDetails(MatOfFloat scales,
MatOfInt zeropoints)
Returns input scale and zeropoint for a quantized Net.
|
void |
Net.getMemoryConsumption(int layerId,
MatOfInt netInputShape,
long[] weights,
long[] blobs) |
void |
Net.getMemoryConsumption(int layerId,
MatOfInt netInputShape,
long[] weights,
long[] blobs) |
void |
Net.getMemoryConsumption(MatOfInt netInputShape,
long[] weights,
long[] blobs) |
void |
Net.getMemoryConsumption(MatOfInt netInputShape,
long[] weights,
long[] blobs) |
void |
Net.getOutputDetails(MatOfFloat scales,
MatOfInt zeropoints)
Returns output scale and zeropoint for a quantized Net.
|
void |
Net.getOutputDetails(MatOfFloat scales,
MatOfInt zeropoints)
Returns output scale and zeropoint for a quantized Net.
|
static void |
Dnn.NMSBoxes(MatOfRect2d bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices)
Performs non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.NMSBoxes(MatOfRect2d bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices)
Performs non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.NMSBoxes(MatOfRect2d bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta)
Performs non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.NMSBoxes(MatOfRect2d bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta)
Performs non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.NMSBoxes(MatOfRect2d bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta,
int top_k)
Performs non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.NMSBoxes(MatOfRect2d bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta,
int top_k)
Performs non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.NMSBoxesBatched(MatOfRect2d bboxes,
MatOfFloat scores,
MatOfInt class_ids,
float score_threshold,
float nms_threshold,
MatOfInt indices)
Performs batched non maximum suppression on given boxes and corresponding scores across different classes.
|
static void |
Dnn.NMSBoxesBatched(MatOfRect2d bboxes,
MatOfFloat scores,
MatOfInt class_ids,
float score_threshold,
float nms_threshold,
MatOfInt indices)
Performs batched non maximum suppression on given boxes and corresponding scores across different classes.
|
static void |
Dnn.NMSBoxesBatched(MatOfRect2d bboxes,
MatOfFloat scores,
MatOfInt class_ids,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta)
Performs batched non maximum suppression on given boxes and corresponding scores across different classes.
|
static void |
Dnn.NMSBoxesBatched(MatOfRect2d bboxes,
MatOfFloat scores,
MatOfInt class_ids,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta)
Performs batched non maximum suppression on given boxes and corresponding scores across different classes.
|
static void |
Dnn.NMSBoxesBatched(MatOfRect2d bboxes,
MatOfFloat scores,
MatOfInt class_ids,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta,
int top_k)
Performs batched non maximum suppression on given boxes and corresponding scores across different classes.
|
static void |
Dnn.NMSBoxesBatched(MatOfRect2d bboxes,
MatOfFloat scores,
MatOfInt class_ids,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta,
int top_k)
Performs batched non maximum suppression on given boxes and corresponding scores across different classes.
|
static void |
Dnn.NMSBoxesRotated(MatOfRotatedRect bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices) |
static void |
Dnn.NMSBoxesRotated(MatOfRotatedRect bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices) |
static void |
Dnn.NMSBoxesRotated(MatOfRotatedRect bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta) |
static void |
Dnn.NMSBoxesRotated(MatOfRotatedRect bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta) |
static void |
Dnn.NMSBoxesRotated(MatOfRotatedRect bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta,
int top_k) |
static void |
Dnn.NMSBoxesRotated(MatOfRotatedRect bboxes,
MatOfFloat scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
float eta,
int top_k) |
void |
Net.setInputShape(String inputName,
MatOfInt shape)
Specify shape of network input.
|
void |
Net.setInputShape(String inputName,
MatOfInt shape)
Specify shape of network input.
|
static void |
Dnn.softNMSBoxes(MatOfRect bboxes,
MatOfFloat scores,
MatOfFloat updated_scores,
float score_threshold,
float nms_threshold,
MatOfInt indices)
Performs soft non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.softNMSBoxes(MatOfRect bboxes,
MatOfFloat scores,
MatOfFloat updated_scores,
float score_threshold,
float nms_threshold,
MatOfInt indices)
Performs soft non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.softNMSBoxes(MatOfRect bboxes,
MatOfFloat scores,
MatOfFloat updated_scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
long top_k)
Performs soft non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.softNMSBoxes(MatOfRect bboxes,
MatOfFloat scores,
MatOfFloat updated_scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
long top_k)
Performs soft non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.softNMSBoxes(MatOfRect bboxes,
MatOfFloat scores,
MatOfFloat updated_scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
long top_k,
float sigma)
Performs soft non maximum suppression given boxes and corresponding scores.
|
static void |
Dnn.softNMSBoxes(MatOfRect bboxes,
MatOfFloat scores,
MatOfFloat updated_scores,
float score_threshold,
float nms_threshold,
MatOfInt indices,
long top_k,
float sigma)
Performs soft non maximum suppression given boxes and corresponding scores.
|
Modifier and Type | Method and Description |
---|---|
long |
Net.getFLOPS(int layerId,
List<MatOfInt> netInputShapes) |
long |
Net.getFLOPS(int layerId,
List<MatOfInt> netInputShapes) |
long |
Net.getFLOPS(List<MatOfInt> netInputShapes)
Computes FLOP for whole loaded model with specified input shapes.
|
long |
Net.getFLOPS(List<MatOfInt> netInputShapes)
Computes FLOP for whole loaded model with specified input shapes.
|
void |
Net.getMemoryConsumption(int layerId,
List<MatOfInt> netInputShapes,
long[] weights,
long[] blobs) |
void |
Net.getMemoryConsumption(int layerId,
List<MatOfInt> netInputShapes,
long[] weights,
long[] blobs) |
Modifier and Type | Method and Description |
---|---|
void |
DnnSuperResImpl.upsampleMultioutput(Mat img,
List<Mat> imgs_new,
MatOfInt scale_factors,
List<String> node_names)
Upsample via neural network of multiple outputs
|
void |
DnnSuperResImpl.upsampleMultioutput(Mat img,
List<Mat> imgs_new,
MatOfInt scale_factors,
List<String> node_names)
Upsample via neural network of multiple outputs
|
Modifier and Type | Method and Description |
---|---|
MatOfInt |
FaceRecognizer.getLabelsByString(String str)
Gets vector of labels by string.
|
MatOfInt |
FaceRecognizer.getLabelsByString(String str)
Gets vector of labels by string.
|
Modifier and Type | Method and Description |
---|---|
static BRISK |
BRISK.create(int thresh,
int octaves,
MatOfFloat radiusList,
MatOfInt numberList)
The BRISK constructor for a custom pattern, detection threshold and octaves
|
static BRISK |
BRISK.create(int thresh,
int octaves,
MatOfFloat radiusList,
MatOfInt numberList)
The BRISK constructor for a custom pattern, detection threshold and octaves
|
static BRISK |
BRISK.create(int thresh,
int octaves,
MatOfFloat radiusList,
MatOfInt numberList,
float dMax)
The BRISK constructor for a custom pattern, detection threshold and octaves
|
static BRISK |
BRISK.create(int thresh,
int octaves,
MatOfFloat radiusList,
MatOfInt numberList,
float dMax)
The BRISK constructor for a custom pattern, detection threshold and octaves
|
static BRISK |
BRISK.create(int thresh,
int octaves,
MatOfFloat radiusList,
MatOfInt numberList,
float dMax,
float dMin)
The BRISK constructor for a custom pattern, detection threshold and octaves
|
static BRISK |
BRISK.create(int thresh,
int octaves,
MatOfFloat radiusList,
MatOfInt numberList,
float dMax,
float dMin)
The BRISK constructor for a custom pattern, detection threshold and octaves
|
static BRISK |
BRISK.create(int thresh,
int octaves,
MatOfFloat radiusList,
MatOfInt numberList,
float dMax,
float dMin,
MatOfInt indexChange)
The BRISK constructor for a custom pattern, detection threshold and octaves
|
static BRISK |
BRISK.create(int thresh,
int octaves,
MatOfFloat radiusList,
MatOfInt numberList,
float dMax,
float dMin,
MatOfInt indexChange)
The BRISK constructor for a custom pattern, detection threshold and octaves
|
static BRISK |
BRISK.create(MatOfFloat radiusList,
MatOfInt numberList)
The BRISK constructor for a custom pattern
|
static BRISK |
BRISK.create(MatOfFloat radiusList,
MatOfInt numberList)
The BRISK constructor for a custom pattern
|
static BRISK |
BRISK.create(MatOfFloat radiusList,
MatOfInt numberList,
float dMax)
The BRISK constructor for a custom pattern
|
static BRISK |
BRISK.create(MatOfFloat radiusList,
MatOfInt numberList,
float dMax)
The BRISK constructor for a custom pattern
|
static BRISK |
BRISK.create(MatOfFloat radiusList,
MatOfInt numberList,
float dMax,
float dMin)
The BRISK constructor for a custom pattern
|
static BRISK |
BRISK.create(MatOfFloat radiusList,
MatOfInt numberList,
float dMax,
float dMin)
The BRISK constructor for a custom pattern
|
static BRISK |
BRISK.create(MatOfFloat radiusList,
MatOfInt numberList,
float dMax,
float dMin,
MatOfInt indexChange)
The BRISK constructor for a custom pattern
|
static BRISK |
BRISK.create(MatOfFloat radiusList,
MatOfInt numberList,
float dMax,
float dMin,
MatOfInt indexChange)
The BRISK constructor for a custom pattern
|
Modifier and Type | Method and Description |
---|---|
static boolean |
Imgcodecs.imencode(String ext,
Mat img,
MatOfByte buf,
MatOfInt params)
Encodes an image into a memory buffer.
|
static boolean |
Imgcodecs.imencode(String ext,
Mat img,
MatOfByte buf,
MatOfInt params)
Encodes an image into a memory buffer.
|
static boolean |
Imgcodecs.imwrite(String filename,
Mat img,
MatOfInt params)
Saves an image to a specified file.
|
static boolean |
Imgcodecs.imwrite(String filename,
Mat img,
MatOfInt params)
Saves an image to a specified file.
|
static boolean |
Imgcodecs.imwritemulti(String filename,
List<Mat> img,
MatOfInt params) |
static boolean |
Imgcodecs.imwritemulti(String filename,
List<Mat> img,
MatOfInt params) |
Modifier and Type | Method and Description |
---|---|
static void |
Imgproc.calcBackProject(List<Mat> images,
MatOfInt channels,
Mat hist,
Mat dst,
MatOfFloat ranges,
double scale) |
static void |
Imgproc.calcBackProject(List<Mat> images,
MatOfInt channels,
Mat hist,
Mat dst,
MatOfFloat ranges,
double scale) |
static void |
Imgproc.calcHist(List<Mat> images,
MatOfInt channels,
Mat mask,
Mat hist,
MatOfInt histSize,
MatOfFloat ranges)
this variant supports only uniform histograms.
|
static void |
Imgproc.calcHist(List<Mat> images,
MatOfInt channels,
Mat mask,
Mat hist,
MatOfInt histSize,
MatOfFloat ranges)
this variant supports only uniform histograms.
|
static void |
Imgproc.calcHist(List<Mat> images,
MatOfInt channels,
Mat mask,
Mat hist,
MatOfInt histSize,
MatOfFloat ranges,
boolean accumulate)
this variant supports only uniform histograms.
|
static void |
Imgproc.calcHist(List<Mat> images,
MatOfInt channels,
Mat mask,
Mat hist,
MatOfInt histSize,
MatOfFloat ranges,
boolean accumulate)
this variant supports only uniform histograms.
|
static void |
Imgproc.convexHull(MatOfPoint points,
MatOfInt hull)
Finds the convex hull of a point set.
|
static void |
Imgproc.convexHull(MatOfPoint points,
MatOfInt hull)
Finds the convex hull of a point set.
|
static void |
Imgproc.convexHull(MatOfPoint points,
MatOfInt hull,
boolean clockwise)
Finds the convex hull of a point set.
|
static void |
Imgproc.convexHull(MatOfPoint points,
MatOfInt hull,
boolean clockwise)
Finds the convex hull of a point set.
|
static void |
Imgproc.convexityDefects(MatOfPoint contour,
MatOfInt convexhull,
MatOfInt4 convexityDefects)
Finds the convexity defects of a contour.
|
static void |
Imgproc.convexityDefects(MatOfPoint contour,
MatOfInt convexhull,
MatOfInt4 convexityDefects)
Finds the convexity defects of a contour.
|
void |
Subdiv2D.getLeadingEdgeList(MatOfInt leadingEdgeList)
Returns a list of the leading edge ID connected to each triangle.
|
void |
Subdiv2D.getLeadingEdgeList(MatOfInt leadingEdgeList)
Returns a list of the leading edge ID connected to each triangle.
|
void |
Subdiv2D.getVoronoiFacetList(MatOfInt idx,
List<MatOfPoint2f> facetList,
MatOfPoint2f facetCenters)
Returns a list of all Voronoi facets.
|
void |
Subdiv2D.getVoronoiFacetList(MatOfInt idx,
List<MatOfPoint2f> facetList,
MatOfPoint2f facetCenters)
Returns a list of all Voronoi facets.
|
Modifier and Type | Method and Description |
---|---|
MatOfInt |
Board.getIds()
vector of the identifiers of the markers in the board (should be the same size as objPoints)
|
MatOfInt |
Board.getIds()
vector of the identifiers of the markers in the board (should be the same size as objPoints)
|
Modifier and Type | Method and Description |
---|---|
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections) |
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) |
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) |
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) |
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) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize) |
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)
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)
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)
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)
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)
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)
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.
|
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) |
static void |
Objdetect.groupRectangles(MatOfRect rectList,
MatOfInt weights,
int groupThreshold,
double eps) |
static void |
Objdetect.groupRectangles(MatOfRect rectList,
MatOfInt weights,
int groupThreshold,
double eps) |
Modifier and Type | Method and Description |
---|---|
boolean |
VideoCapture.open(int index,
int apiPreference,
MatOfInt params)
Opens a camera for video capturing with API Preference and parameters
The
params parameter allows to specify extra parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...) . |
boolean |
VideoCapture.open(int index,
int apiPreference,
MatOfInt params)
Opens a camera for video capturing with API Preference and parameters
The
params parameter allows to specify extra parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...) . |
boolean |
VideoWriter.open(String filename,
int fourcc,
double fps,
Size frameSize,
MatOfInt params) |
boolean |
VideoWriter.open(String filename,
int fourcc,
double fps,
Size frameSize,
MatOfInt params) |
boolean |
VideoWriter.open(String filename,
int apiPreference,
int fourcc,
double fps,
Size frameSize,
MatOfInt params) |
boolean |
VideoWriter.open(String filename,
int apiPreference,
int fourcc,
double fps,
Size frameSize,
MatOfInt params) |
boolean |
VideoCapture.open(String filename,
int apiPreference,
MatOfInt params)
Opens a video file or a capturing device or an IP video stream for video capturing with API Preference and parameters
The
params parameter allows to specify extra parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...) . |
boolean |
VideoCapture.open(String filename,
int apiPreference,
MatOfInt params)
Opens a video file or a capturing device or an IP video stream for video capturing with API Preference and parameters
The
params parameter allows to specify extra parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...) . |
Constructor and Description |
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VideoCapture(int index,
int apiPreference,
MatOfInt params)
Opens a camera for video capturing with API Preference and parameters
The
params parameter allows to specify extra parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...) . |
VideoCapture(int index,
int apiPreference,
MatOfInt params)
Opens a camera for video capturing with API Preference and parameters
The
params parameter allows to specify extra parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...) . |
VideoCapture(String filename,
int apiPreference,
MatOfInt params)
Opens a video file or a capturing device or an IP video stream for video capturing with API Preference and parameters
The
params parameter allows to specify extra parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...) . |
VideoCapture(String filename,
int apiPreference,
MatOfInt params)
Opens a video file or a capturing device or an IP video stream for video capturing with API Preference and parameters
The
params parameter allows to specify extra parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...) . |
VideoWriter(String filename,
int fourcc,
double fps,
Size frameSize,
MatOfInt params)
The
params parameter allows to specify extra encoder parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ... |
VideoWriter(String filename,
int fourcc,
double fps,
Size frameSize,
MatOfInt params)
The
params parameter allows to specify extra encoder parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ... |
VideoWriter(String filename,
int apiPreference,
int fourcc,
double fps,
Size frameSize,
MatOfInt params) |
VideoWriter(String filename,
int apiPreference,
int fourcc,
double fps,
Size frameSize,
MatOfInt params) |
Modifier and Type | Method and Description |
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MatOfInt |
PCTSignatures.getInitSeedIndexes()
Initial seeds (initial number of clusters) for the k-means algorithm.
|
MatOfInt |
PCTSignatures.getInitSeedIndexes()
Initial seeds (initial number of clusters) for the k-means algorithm.
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Modifier and Type | Method and Description |
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static FREAK |
FREAK.create(boolean orientationNormalized,
boolean scaleNormalized,
float patternScale,
int nOctaves,
MatOfInt selectedPairs) |
static FREAK |
FREAK.create(boolean orientationNormalized,
boolean scaleNormalized,
float patternScale,
int nOctaves,
MatOfInt selectedPairs) |
static PCTSignatures |
PCTSignatures.create(MatOfPoint2f initSamplingPoints,
MatOfInt initClusterSeedIndexes)
Creates PCTSignatures algorithm using pre-generated sampling points
and clusterization seeds indexes.
|
static PCTSignatures |
PCTSignatures.create(MatOfPoint2f initSamplingPoints,
MatOfInt initClusterSeedIndexes)
Creates PCTSignatures algorithm using pre-generated sampling points
and clusterization seeds indexes.
|
static void |
Xfeatures2d.matchLOGOS(MatOfKeyPoint keypoints1,
MatOfKeyPoint keypoints2,
MatOfInt nn1,
MatOfInt nn2,
MatOfDMatch matches1to2)
LOGOS (Local geometric support for high-outlier spatial verification) feature matching strategy described in CITE: Lowry2018LOGOSLG .
|
static void |
Xfeatures2d.matchLOGOS(MatOfKeyPoint keypoints1,
MatOfKeyPoint keypoints2,
MatOfInt nn1,
MatOfInt nn2,
MatOfDMatch matches1to2)
LOGOS (Local geometric support for high-outlier spatial verification) feature matching strategy described in CITE: Lowry2018LOGOSLG .
|
void |
PCTSignatures.setInitSeedIndexes(MatOfInt initSeedIndexes)
Initial seed indexes for the k-means algorithm.
|
void |
PCTSignatures.setInitSeedIndexes(MatOfInt initSeedIndexes)
Initial seed indexes for the k-means algorithm.
|
Modifier and Type | Method and Description |
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MatOfInt |
EdgeDrawing.getSegmentIndicesOfLines()
Returns for each line found in detectLines() its edge segment index in getSegments()
|
MatOfInt |
EdgeDrawing.getSegmentIndicesOfLines()
Returns for each line found in detectLines() its edge segment index in getSegments()
|
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