ObjectDetectionModelLoader

Loader for object detection models compatible with the TensorFlow object detection API.

The loader first looks if a model with the given name exists locally, enabling to use of custom models. If no model is found locally, the loader tries to download it from the TensorFlow detection model zoo.

See https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md for details about the models available.

Currently, it only supports loading the frozen inference graph for doing predictions.

Linear Supertypes

Loader, AnyRef, Any

Instance Constructors

new ObjectDetectionModelLoader(modelName: String)

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
val baseUrl: String

Attributes
protected
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val compressedFilename: String

Attributes
protected
def download(path: Path, url: String, bufferSize: Int = 8192): Unit

Attributes
protected
Definition Classes
Loader
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
val googleDriveConfirmTokenRegex: Regex

Attributes
protected
Definition Classes
Loader
val graphFilename: String

Attributes
protected
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def load(path: Path, bufferSize: Int = 8192): ObjectDetectionModel

Loads a serialized object detection model.
Loads a serialized object detection model. Tries to download the model if not found locally.
path
Path where the model is stored.
val logger: Logger

Attributes
protected
Definition Classes
ObjectDetectionModelLoader → Loader
def maybeDownload(path: Path, url: String, bufferSize: Int = 8192): Boolean

Definition Classes
Loader
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package models

class ObjectDetectionModelLoader extends Loader

Instance Constructors

new ObjectDetectionModelLoader(modelName: String)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

val baseUrl: String

def clone(): AnyRef

val compressedFilename: String

def download(path: Path, url: String, bufferSize: Int = 8192): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

val googleDriveConfirmTokenRegex: Regex

val graphFilename: String

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def load(path: Path, bufferSize: Int = 8192): ObjectDetectionModel

val logger: Logger

def maybeDownload(path: Path, url: String, bufferSize: Int = 8192): Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Loader

Inherited from AnyRef

Inherited from Any

Ungrouped