EfficientDetObjectDetectionModel

class EfficientDetObjectDetectionModel(internalModel: OnnxInferenceModel, modelKindDescription: String?) : EfficientDetObjectDetectionModelBase<BufferedImage> , InferenceModel

Special model class for detection objects on images with built-in preprocessing and post-processing.

It internally uses ONNXModels.ObjectDetection.EfficientDetD0 or other EfficientDet models trained on the COCO dataset.

Since

0.4

Parameters

internalModel

model used to make predictions

Constructors

EfficientDetObjectDetectionModel

jvm

fun EfficientDetObjectDetectionModel(pathToModel: String)

Constructs the object detection model from a given path.

EfficientDetObjectDetectionModel

jvm

fun EfficientDetObjectDetectionModel(internalModel: OnnxInferenceModel, modelKindDescription: String? = null)

Functions

jvm

open override fun close()

convert

jvm

open override fun convert(output: OrtSession.Result): List<DetectedObject>

Converts raw model output to the result.

copy

jvm

open override fun copy(copiedModelName: String?, saveOptimizerState: Boolean, copyWeights: Boolean): EfficientDetObjectDetectionModel

detectObjects

jvm

fun detectObjects(imageFile: File, topK: Int = 5): List<DetectedObject>

Returns the detected object for the given image file sorted by the score.

fun detectObjects(image: BufferedImage, topK: Int = 5): List<DetectedObject>

Returns the detected object for the given image sorted by the score.

initializeWith

jvm

open override fun initializeWith(vararg executionProviders: ExecutionProvider)

Initialize the model with the specified executions providers.

predict

jvm

open override fun predict(inputData: FloatArray): Int

open fun predict(input: BufferedImage): List<DetectedObject>

Makes prediction on the given input.

predictSoftly

jvm

open override fun predictSoftly(inputData: FloatArray, predictionTensorName: String): FloatArray

reshape

jvm

open override fun reshape(vararg dims: Long)

summary

jvm

open override fun summary(): ModelSummary

Properties

inputDimensions

jvm

open override val inputDimensions: LongArray

internalModel

jvm

open override val internalModel: OnnxInferenceModel

modelKindDescription

jvm

open override val modelKindDescription: String?

High-level description of the model. Used for model summary printing. For the model hub models it equals to the string representation of the OnnxModelType

preprocessing

jvm

open override val preprocessing: Operation<BufferedImage, Pair<FloatArray, TensorShape>>

Preprocessing operation specific to this model.