Unhandled Rejection (Error): The dtype of dict['ImageTensor'] provided in model.execute(dict) must be int32, but was float32

Question

I try to run deep lab model javascript on video here but I get the error Unhandled Rejection (Error): The dtype of dict['ImageTensor'] provided in model.execute(dict) must be int32, but was float32 , here is my code

import React,{useEffect,useRef} from "react";
import Webcam from "react-webcam";

import * as tf from "@tensorflow/tfjs"
import * as deeplab from "@tensorflow-models/deeplab"


 
const Webcamera = () => {
    const webcamref = useRef(null)

    const loadModel = async () => {
        const modelName = 'ade20k';   // set to your preferred model, either `pascal`, `cityscapes` or `ade20k`
        const quantizationBytes = 2;  // either 1, 2 or 4
        const model = await deeplab.load({base: modelName, quantizationBytes});

        

        setInterval(() => {
            detect(model)
        },100)
      };

      const detect = async (model) => {
          if(typeof webcamref.current!=undefined && webcamref.current!=null && webcamref.current.video.readyState === 4 ){
              const video = webcamref.current.video
              const videowidth = webcamref.current.video.videowidth
              const videoheight = webcamref.current.video.videoheight

              webcamref.current.video.videowidth = videowidth
              webcamref.current.video.videoheight = videoheight
              

              model.segment(video)

              
          }
      }

      useEffect(()=>{loadModel()}, []);
      

return <Webcam ref={webcamref}/>
}

export default Webcamera

aryanknp aryanknp · Accepted Answer · 2021-01-16T06:53:15

problem was the tensorflow version , do the following: uninstall current version

npm uninstall @tensorflow/tfjs

Install lower version 1.3.1

npm install @tensorflow/[email protected]

Deeplab seems to not work on higher version

Unhandled Rejection (Error): The dtype of dict['ImageTensor'] provided in model.execute(dict) must be int32, but was float32

1 Answers