use explicit tensor interface

CHANGELOG.md

@@ -11,6 +11,7 @@ Repository: **<git+https://github.com/vladmandic/human.git>**
 
 ### **HEAD -> main** 2021/05/22 mandic00@live.com
 
+- enhance strong typing
 - rebuild all for release
 
 ### **1.9.2** 2021/05/22 mandic00@live.com

src/handpose/handdetector.ts

@@ -6,10 +6,10 @@ import { Tensor, GraphModel } from '../tfjs/types';
 export class HandDetector {
   model: GraphModel;
   anchors: number[][];
-  anchorsTensor: typeof tf.Tensor;
+  anchorsTensor: Tensor;
   inputSize: number;
-  inputSizeTensor: typeof tf.Tensor;
-  doubleInputSizeTensor: typeof tf.Tensor;
+  inputSizeTensor: Tensor;
+  doubleInputSizeTensor: Tensor;
 
   constructor(model) {
     this.model = model;

src/image/image.ts

@@ -1,5 +1,6 @@
 import * as tf from '../../dist/tfjs.esm.js';
 import * as fxImage from './imagefx';
+import { Tensor } from '../tfjs/types';
 
 const maxSize = 2048;
 // internal temp canvases
@@ -11,7 +12,7 @@ let fx;
 // process input image and return tensor
 // input can be tensor, imagedata, htmlimageelement, htmlvideoelement
 // input is resized and run through imagefx filter
-export function process(input, config): { tensor: typeof tf.Tensor | null, canvas: OffscreenCanvas | HTMLCanvasElement } {
+export function process(input, config): { tensor: Tensor | null, canvas: OffscreenCanvas | HTMLCanvasElement } {
   let tensor;
   if (!input) throw new Error('Human: Input is missing');
   // sanity checks since different browsers do not implement all dom elements