cv::cnn_3dobj::descriptorExtractor Class Reference

Caffe based 3D images descriptor. A class to extract features from an image. The so obtained descriptors can be used for classification and pose estimation goals [274]. More...

#include <opencv2/cnn_3dobj.hpp>

Public Member Functions
	descriptorExtractor (const String &device_type, int device_id=0)
	Set the device for feature extraction, if the GPU is used, there should be a device_id. More...
void	extract (InputArrayOfArrays inputimg, OutputArray feature, String feature_blob)
	Extract features from a single image or from a vector of images. If loadNet was not called before, this method invocation will fail. More...
int	getDeviceId ()
	Get device ID information for feature extraction. More...
String	getDeviceType ()
	Get device type information for feature extraction. More...
void	loadNet (const String &model_file, const String &trained_file, const String &mean_file="")
	Initiate a classification structure, the net work parameter is stored in model_file, the network structure is stored in trained_file, you can decide whether to use mean images or not. More...
void	setDeviceId (const int &device_id)
	Set device ID information for feature extraction. Useful to change device without the need to reload the net. Only used for GPU. More...
void	setDeviceType (const String &device_type)
	Set device type information for feature extraction. Useful to change device without the need to reload the net. More...

Detailed Description

Caffe based 3D images descriptor. A class to extract features from an image. The so obtained descriptors can be used for classification and pose estimation goals [274].

Constructor & Destructor Documentation

descriptorExtractor()

cv::cnn_3dobj::descriptorExtractor::descriptorExtractor	(	const String &	device_type,
		int	device_id = 0
	)

Set the device for feature extraction, if the GPU is used, there should be a device_id.

Parameters

device_type	CPU or GPU.
device_id	ID of GPU.

Member Function Documentation

extract()

void cv::cnn_3dobj::descriptorExtractor::extract	(	InputArrayOfArrays	inputimg,
		OutputArray	feature,
		String	feature_blob
	)

Extract features from a single image or from a vector of images. If loadNet was not called before, this method invocation will fail.

Parameters

inputimg	Input images.
feature	Output features.
feature_blob	Layer which the feature is extracted from.

getDeviceId()

int cv::cnn_3dobj::descriptorExtractor::getDeviceId

(

)

Get device ID information for feature extraction.

getDeviceType()

String cv::cnn_3dobj::descriptorExtractor::getDeviceType

(

)

Get device type information for feature extraction.

loadNet()

void cv::cnn_3dobj::descriptorExtractor::loadNet	(	const String &	model_file,
		const String &	trained_file,
		const String &	mean_file = ""
	)

Initiate a classification structure, the net work parameter is stored in model_file, the network structure is stored in trained_file, you can decide whether to use mean images or not.

Parameters

model_file	Path of caffemodel which including all parameters in CNN.
trained_file	Path of prototxt which defining the structure of CNN.
mean_file	Path of mean file(option).

setDeviceId()

void cv::cnn_3dobj::descriptorExtractor::setDeviceId

(

const int &

device_id

)

Set device ID information for feature extraction. Useful to change device without the need to reload the net. Only used for GPU.

Parameters

device_id

ID of GPU.

setDeviceType()

void cv::cnn_3dobj::descriptorExtractor::setDeviceType

(

const String &

device_type

)

Set device type information for feature extraction. Useful to change device without the need to reload the net.

Parameters

device_type

CPU or GPU.

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The documentation for this class was generated from the following file:

• opencv2/cnn_3dobj.hpp