Constructors
constructor
- new NetInput(inputs: any[], treatAsBatchInput?: boolean): NetInput
Parameters
inputs: any[]
treatAsBatchInput: boolean = false
Accessors
canvases
- get canvases(): HTMLCanvasElement[]
Returns HTMLCanvasElement[]
imageTensors
- get imageTensors(): any[]
inputDimensions
- get inputDimensions(): number[][]
inputSize
- get inputSize(): undefined | number
Returns undefined | number
isBatchInput
- get isBatchInput(): boolean
Methods
getInput
- getInput(batchIdx: number): any
getInputDimensions
- getInputDimensions(batchIdx: number): number[]
Parameters
Returns number[]
getInputHeight
- getInputHeight(batchIdx: number): number
getInputWidth
- getInputWidth(batchIdx: number): number
getReshapedInputDimensions
- getReshapedInputDimensions(batchIdx: number): Dimensions
toBatchTensor
- toBatchTensor(inputSize: number, isCenterInputs?: boolean): Tensor4D
Parameters
inputSize: number
isCenterInputs: boolean = true
Returns Tensor4D
Create a batch tensor from all input canvases and tensors with size [batchSize, inputSize, inputSize, 3].