Package org.opencv.dnn
Class KeypointsModel
- java.lang.Object
-
- org.opencv.dnn.Model
-
- org.opencv.dnn.KeypointsModel
-
public class KeypointsModel extends Model
This class represents high-level API for keypoints models KeypointsModel allows to set params for preprocessing input image. KeypointsModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and returns the x and y coordinates of each detected keypoint
-
-
Constructor Summary
Constructors Modifier Constructor Description protected
KeypointsModel(long addr)
KeypointsModel(java.lang.String model)
Create keypoints model from network represented in one of the supported formats.KeypointsModel(java.lang.String model, java.lang.String config)
Create keypoints model from network represented in one of the supported formats.KeypointsModel(Net network)
Create model from deep learning network.
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static KeypointsModel
__fromPtr__(long addr)
MatOfPoint2f
estimate(Mat frame)
Given theinput
frame, create input blob, run netMatOfPoint2f
estimate(Mat frame, float thresh)
Given theinput
frame, create input blob, run netprotected void
finalize()
-
Methods inherited from class org.opencv.dnn.Model
enableWinograd, getNativeObjAddr, predict, setInputCrop, setInputMean, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputScale, setInputSize, setInputSize, setInputSwapRB, setOutputNames, setPreferableBackend, setPreferableTarget
-
-
-
-
Constructor Detail
-
KeypointsModel
protected KeypointsModel(long addr)
-
KeypointsModel
public KeypointsModel(java.lang.String model, java.lang.String config)
Create keypoints model from network represented in one of the supported formats. An order ofmodel
andconfig
arguments does not matter.- Parameters:
model
- Binary file contains trained weights.config
- Text file contains network configuration.
-
KeypointsModel
public KeypointsModel(java.lang.String model)
Create keypoints model from network represented in one of the supported formats. An order ofmodel
andconfig
arguments does not matter.- Parameters:
model
- Binary file contains trained weights.
-
KeypointsModel
public KeypointsModel(Net network)
Create model from deep learning network.- Parameters:
network
- Net object.
-
-
Method Detail
-
__fromPtr__
public static KeypointsModel __fromPtr__(long addr)
-
estimate
public MatOfPoint2f estimate(Mat frame, float thresh)
Given theinput
frame, create input blob, run net- Parameters:
thresh
- minimum confidence threshold to select a keypointframe
- automatically generated- Returns:
- a vector holding the x and y coordinates of each detected keypoint
-
estimate
public MatOfPoint2f estimate(Mat frame)
Given theinput
frame, create input blob, run net- Parameters:
frame
- automatically generated- Returns:
- a vector holding the x and y coordinates of each detected keypoint
-
-