Package | Description |
---|---|
org.opencv.core | |
org.opencv.dnn | |
org.opencv.features2d | |
org.opencv.imgcodecs | |
org.opencv.utils | |
org.opencv.video |
Modifier and Type | Method and Description |
---|---|
static MatOfByte |
MatOfByte.fromNativeAddr(long addr) |
Modifier and Type | Method and Description |
---|---|
static Net |
Net.readFromModelOptimizer(MatOfByte bufferModelConfig,
MatOfByte bufferWeights)
Create a network from Intel's Model Optimizer in-memory buffers with intermediate representation (IR).
|
static Net |
Dnn.readNet(String framework,
MatOfByte bufferModel)
Read deep learning network represented in one of the supported formats.
|
static Net |
Dnn.readNet(String framework,
MatOfByte bufferModel,
MatOfByte bufferConfig)
Read deep learning network represented in one of the supported formats.
|
static Net |
Dnn.readNetFromCaffe(MatOfByte bufferProto)
Reads a network model stored in Caffe model in memory.
|
static Net |
Dnn.readNetFromCaffe(MatOfByte bufferProto,
MatOfByte bufferModel)
Reads a network model stored in Caffe model in memory.
|
static Net |
Dnn.readNetFromDarknet(MatOfByte bufferCfg)
Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.
|
static Net |
Dnn.readNetFromDarknet(MatOfByte bufferCfg,
MatOfByte bufferModel)
Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.
|
static Net |
Dnn.readNetFromModelOptimizer(MatOfByte bufferModelConfig,
MatOfByte bufferWeights)
Load a network from Intel's Model Optimizer intermediate representation.
|
static Net |
Dnn.readNetFromONNX(MatOfByte buffer)
Reads a network model from <a href="https://onnx.ai/">ONNX</a>
in-memory buffer.
|
static Net |
Dnn.readNetFromTensorflow(MatOfByte bufferModel)
Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.
|
static Net |
Dnn.readNetFromTensorflow(MatOfByte bufferModel,
MatOfByte bufferConfig)
Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.
|
Modifier and Type | Method and Description |
---|---|
static void |
Features2d.drawMatches(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
MatOfDMatch matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
MatOfByte matchesMask)
Draws the found matches of keypoints from two images.
|
static void |
Features2d.drawMatches(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
MatOfDMatch matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
MatOfByte matchesMask,
int flags)
Draws the found matches of keypoints from two images.
|
Modifier and Type | Method and Description |
---|---|
static void |
Features2d.drawMatchesKnn(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
List<MatOfByte> matchesMask) |
static void |
Features2d.drawMatchesKnn(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
List<MatOfByte> matchesMask,
int flags) |
Modifier and Type | Method and Description |
---|---|
static boolean |
Imgcodecs.imencode(String ext,
Mat img,
MatOfByte buf)
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.
|
Modifier and Type | Method and Description |
---|---|
static Mat |
Converters.vector_vector_char_to_Mat(List<MatOfByte> lvb,
List<Mat> mats) |
Modifier and Type | Method and Description |
---|---|
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
pyramids.
|
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
pyramids.
|
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
pyramids.
|
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel,
TermCriteria criteria)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
pyramids.
|
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel,
TermCriteria criteria,
int flags)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
pyramids.
|
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel,
TermCriteria criteria,
int flags,
double minEigThreshold)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
pyramids.
|
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