Layer - Output Detection

OutputDetection

OutputDetection layer can draw rectangles on it, can be used to show object detection result.

Constructor

〔Method 1〕Construct it directly

TSP.layers.OutputDetection();

Fig. 1 - Output Detection layer close and open

Arguments

Name Tag	Type	Instruction	Usage Notes and Examples
name	String	Name of the layer	For example, name: "layerName" In Sequential Model: Highly recommend to add a name attribute to make it easier to get Layer object from model. In Functional Model: It is required to configure name attribute for TensorSpace Layer, and the name should be the same as the name of corresponding Layer in pre-trained model.
color	Color Format	Color of layer	OutputDetection's default color is #EEEEEE
closeButton	Dict	Close button appearance control dict. More about close button	display: Bool. true[default] Show button, false Hide button ratio: Int. Times to close button's normal size, default is 1, for example, set ratio to be 2, close button will become twice the normal size
initStatus	String	Layer initial status. Open or Close. More about Layer initial Status	close[default]: Closed at beginning, open: Open at beginning
animeTime	Int	The speed of open and close animation	For example, animeTime: 2000 means the animation time will last 2 seconds. Note: Configure animeTime in a specific layer will override model's animeTime configuration.

Properties

.name : String

The customized name of this layer.

Once created, you can get it.

.layerType : String

Type of this layer, return a constant: string OutputDetection.

Once created, you can get it.

Methods

.apply( previous_layer ) : void

Link this layer to previous layer.

This method can be use to construct topology in Functional Model.

See Construct Topology for more details.

.openLayer() : void

Open Layer, if layer is already in "open" status, the layer will keep open.

See Layer Status for more details.

.closeLayer() : void

Close Layer, if layer is already in "close" status, the layer will keep close.

See Layer Status for more details.

.addRectangleList( RectParam[] ) : void

To draw rectangles onto OutputDetection layer.

Parameters can be defined as below:

[
    {
        // The x-coordinate of the upper-left corner of the rectangle
        x: 124,
        // The y-coordinate of the upper-left corner of the rectangle
        y: 168,
        // The width of the rectangle
        width: 30,
        // The height of the rectangle
        height: 74
    },
    ...
]

Examples

Declare an instance of OutputDetection

let outputDetection = new TSP.layers.OutputDetection( {

    name: "OutputDetection1",
    initStatus: "open"

} );

Source Code

tensorspace/src/layer/output/OutputDetection.js