MultiPoseDetectionModel

class MultiPoseDetectionModel(internalModel: OnnxInferenceModel, modelKindDescription: String?) : MultiPoseDetectionModelBase<BufferedImage> , InferenceModel

MultiPoseDetectionModel is an ultra-fast and accurate model that detects 6 persons with 17 keypoints and 18 basic edges of a body for each of them.

It internally uses ONNXModels.PoseDetection.MoveNetMultiPoseLighting under the hood to make predictions.

Parameters

internalModel

model used to make predictions

Constructors

MultiPoseDetectionModel

jvm

fun MultiPoseDetectionModel(pathToModel: String)

Constructs the pose detection model from a given path.

MultiPoseDetectionModel

jvm

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

Functions

jvm

open override fun close()

convert

jvm

open override fun convert(output: OrtSession.Result): MultiPoseDetectionResult

Converts raw model output to the result.

copy

jvm

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

detectPoses

jvm

fun detectPoses(imageFile: File, confidence: Float = 0.1f): MultiPoseDetectionResult

Detects poses for the given imageFile with the given confidence.

fun detectPoses(image: BufferedImage, confidence: Float = 0.1f): MultiPoseDetectionResult

Detects poses for the given image with the given confidence.

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): MultiPoseDetectionResult

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.