tfjs-models/coco-ssd Uncaught (in promise) TypeError: Cannot read property 'read' of undefined with script tag example

[htmbennis]

To get help from the community, we encourage using Stack Overflow and the tensorflow.js tag.

TensorFlow.js version

@tensorflow/tfjs@latest

Browser version

Chrome

Describe the problem or feature request

I used the example provided for the model coco-ssd with script tag but I get the following error :
tfjs:17 Uncaught (in promise) TypeError: Cannot read property 'read' of undefined
at tfjs:17
at u (tfjs:17)
at Generator._invoke (tfjs:17)
at Generator.forEach.t. [as next] (tfjs:17)
at Wm (tfjs:17)
at o (tfjs:17)
at tfjs:17
at new Promise ()
at tfjs:17
at tfjs:17

Code to reproduce the bug / link to feature request

[pyu10055]

@htmbennis this will be fixed in upcoming 2.2 release

[pstoebenau]

I'm having this problem too. Is there any workaround or version that works?

[pyu10055]

You can lock the TFJS version to 2.0.1

[Laurenceldp]

Hi - same problem, tried locking to 2.0.1 but getting an error - Uncaught (in promise) Error: The dtype of dict['image_tensor'] provided in model.execute(dict) must be int32, but was float32. I'm using video, it won't let me cast it. Any tips to get round this?

I'm a newbie so any advice is greatly appreciated. I'm using both TF object and 3d face landmark model together. No issues until this week when @2.0.3 objects stopped working and giving the error uncaught - read etc.

[aeggarut]

Choosing TFJS 2.0.0 works for me

[Laurenceldp]

Thanks @aeggarut, tried that but still getting the same errors.

`const videoFeed = document.querySelector('stream');
const videoElem = document.querySelector('#videoElement');

let model = null;
let videoStartTime;
//starts video stream
let video = document.querySelector("#videoElement");
if (navigator.mediaDevices.getUserMedia) {
navigator.mediaDevices.getUserMedia({
video: true
}).then(function(stream) {
video.srcObject = stream;
setInterval(function() {
objects();
}, 4000);
})
.catch(function(err0r) {
console.log("Video stream error", err0r);
});
}
//function to check and predict if there are foregin objects in stream - phones, books, TODO headphones

async function objects() {
cocoSsd.load().then(model => {
// detect objects in the image.

        model.detect(video).then(predictions => { 

        console.log('Predictions: ', predictions);
    });
});

} `

I pulled the set up from the docs and a few different tutorials for set up. It worked perfectly but now I'm totally lost as to why it won't work anymore. Am I missing something obvious from my set up code? Scripts added in >

`!--tensorflow -->

<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.5.1/jquery.min.js" integrity="sha512-bLT0Qm9VnAYZDflyKcBaQ2gg0hSYNQrJ8RilYldYQ1FxQYoCLtUjuuRuZo+fjqhx/qtq/1itJ0C2ejDxltZVFg==" crossorigin="anonymous"></script>

`

Slowly going insane trying to work it out

[kalmufti]

@Laurenceldp you can checkout my github repo for reference, it also has a Glitch app. feel free to test it and/or remix it at https://tfjswebcam.glitch.me.

[Laurenceldp]

@kalmufti Thanks so much for this, really helpful!

[kalmufti]

@kalmufti Thanks so much for this, really helpful!

Glad it helped you :) I would really appreciate it if you give my repo a star :star: I intend to keep it up to date, also add more models like PosNet, etc.

[flo00008]

As a temp solution, you can use older versions of tfjs

This are the scripts that made it work for me

<script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/[email protected]/dist/coco-ssd.min.js"></script>

[sarat9]

Not just the script, facing the same with the npm module too..
Temporarily TFJS 2.0.0 worked fine.

[tensorflow-butler[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed in 7 dyas if no further activity occurs. Thank you.

[tensorflow-butler[bot]]

Closing as stale. Please @mention us if this needs more attention.

[tensorflow-butler[bot]]

Are you satisfied with the resolution of your issue?
Yes
No