Package rawDeepLearningClassifier.dlClassification.orcaSpot

Class OrcaSpotParams2

java.lang.Object

rawDeepLearningClassifier.dlClassification.orcaSpot.OrcaSpotParams2

All Implemented Interfaces:

Serializable, Cloneable

public class OrcaSpotParams2
extends Object
implements Serializable, Cloneable

Stored settings for the OrcaSpot module.

Author:

Jamie Macaulay

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
File	audio_file	Non user changeable
String	classiferFile	The location of .exe file that runs the Deep Learning classifier.
boolean	cuda	Use the graphics card.
String	hop_size	The hop size to use in seconds (This should be set the same as length of input file and is not use changeable)
String	mode	The classification mode.
String	num_workers	Number of workers?
String	sampleRate	The sample rate in samples per second
String	segmenterMasterPath	The master path to the segmentor python folder.
String	seq_len	The length of audio to analyse in seconds (This should be set the same as length of input file and is not user changeable);
static final long	serialVersionUID
String	threshold	The threshold to apply to the initial prediction stage
String	threshold2	The threshold to apply to the later classification stage.
boolean	useClassifier	Use the classifier
boolean	useDetector	True to use the detector

Constructor Summary

Constructors

Constructor	Description
OrcaSpotParams2()

Method Summary

Modifier and Type	Method	Description
OrcaSpotParams2	clone()
String	getClass_script()
String	getClassifierModel()
Boolean	getcuda()
String	getDetectorModel()	Detection and Classification Models
String	getHop_size()
String	getLog_Path()	Path to the log for OrcaSpot.
String	getMode()	Get the current classification mode.
String	getNum_workers()
String	getPredict_script()	Get the main prediction script for running the detector and classifier.
String	getPythonExe()	Get the path to the PythonExe file in the correct virtual environment.
String	getSample_rate()	Get the sample rate in samples per second
String	getSegmenter_script()
String	getSeq_len()	Audio Params
String	getThreshold()
String	getThreshold2()
void	setcuda(boolean cuda)
void	setHop_size(String hop_size)
void	setSeq_len(String seq_len)
void	setThreshold(String threshold)
void	updateAllPaths()

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

serialVersionUID

public static final long serialVersionUID

See Also:

• Constant Field Values

segmenterMasterPath

public String segmenterMasterPath

The master path to the segmentor python folder.

useDetector

public boolean useDetector

True to use the detector

useClassifier

public boolean useClassifier

Use the classifier

threshold

public String threshold

The threshold to apply to the initial prediction stage

threshold2

public String threshold2

The threshold to apply to the later classification stage.

cuda

public boolean cuda

Use the graphics card.

num_workers

public String num_workers

Number of workers?

audio_file

public File audio_file

Non user changeable

seq_len

public String seq_len

The length of audio to analyse in seconds (This should be set the same as length of input file and is not user changeable);

hop_size

public String hop_size

The hop size to use in seconds (This should be set the same as length of input file and is not use changeable)

classiferFile

public String classiferFile

The location of .exe file that runs the Deep Learning classifier.

mode

public String mode

The classification mode. 0 means only segmentation Orca no Orca 1 means segmentation and classification Orca; Type n something, 2 means only Classification Type n something.

sampleRate

public String sampleRate

The sample rate in samples per second

Constructor Details

OrcaSpotParams2

public OrcaSpotParams2()

Method Details

getMode

public String getMode()

Get the current classification mode. 0 means only segmentation Orca no Orca 1 means segmentation and classification Orca; Type n something, 2 means only Classification Type n something. return the classification mode

getSample_rate

public String getSample_rate()

Get the sample rate in samples per second

Returns:

the sample rate.

getThreshold

public String getThreshold()

getThreshold2

public String getThreshold2()

setThreshold

public void setThreshold(String threshold)

getPythonExe

public String getPythonExe()

Get the path to the PythonExe file in the correct virtual environment.

Returns:

the Python exe file path.

getPredict_script

public String getPredict_script()

Get the main prediction script for running the detector and classifier.

Returns:

the prediction script file path.

getClass_script

public String getClass_script()

getSegmenter_script

public String getSegmenter_script()

getLog_Path

public String getLog_Path()

Path to the log for OrcaSpot.

Returns:

getDetectorModel

public String getDetectorModel()

Detection and Classification Models

getClassifierModel

public String getClassifierModel()

getSeq_len

public String getSeq_len()

Audio Params

setSeq_len

public void setSeq_len(String seq_len)

getHop_size

public String getHop_size()

setHop_size

public void setHop_size(String hop_size)

getcuda

public Boolean getcuda()

setcuda

public void setcuda(boolean cuda)

getNum_workers

public String getNum_workers()

clone

public OrcaSpotParams2 clone()

updateAllPaths

public void updateAllPaths()