TensorflowJS TFJS error: The dtype of dict - machine-learning

Question

Had tried to run https://glitch.com/~tar-understood-exoplanet
and the model would fail to load and I wouldn't be able to use enable the webcam.
Anyone had the same issue?
While the program is running, in the console I get the following:
tfjs:2 Uncaught (in promise) Error: The dtype of dict['image_tensor'] provided in model.execute(dict) must be int32, but was float32
at Object.b [as assert] (tfjs:2)
at tfjs:2
at Array.forEach (<anonymous>)
at t.checkInputShapeAndType (tfjs:2)
at t.<anonymous> (tfjs:2)
at tfjs:2
at Object.next (tfjs:2)
at tfjs:2
at new Promise (<anonymous>)
at Zv (tfjs:2)
I have a Macbook Pro and some other people on their Windows also had some issues running the model. We also tried it on different browsers, Safari and Chrome.
SUCCESS! after switching to coco-ssd 2.0.2:
I added the version 2.0.2 in line 62 as follows:
<script src="https://cdn.jsdelivr.net/npm/#tensorflow-models/coco-ssd#2.0.2"></script>

Answer 1

This is caused by the warmup run of coco-ssd that uses tf.zeros tensor. The default dtype for tf.zeros is 'float' in the recent release of TFJS.
I have put out a new version with fixes. It should work if you use the latest version of coco-ssd (2.0.2) in the glitch example (index.html) as following.
<!-- Load the coco-ssd model to use to recognize things in images -->
<script src="https://cdn.jsdelivr.net/npm/#tensorflow-models/coco-ssd#2.0.2"></script>

Answer 2

Same error here, just occured since Friday night (04/03/2020)
TFModel works well in past few weeks.

Answer 3

I got the same error.
My Scenerio:
I trained a pre-trained model from tensorflow model zoo using transfer learning using tensorflow api as saved model (model.pb file) and converted it into tfjs format (model.json and shared .bin files).
When I tried running this model.json on the javascript(web), it gives the below error:
Uncaught (in promise) Error: The dtype of dict['input_tensor'] provided in model.execute(dict) must be int32, but was float32
When I tried someone else's working converted model (model.json and shared .bin files) on my javascript(web), it worked.
Conclusion:
There is something wrong with my converted model. I converted it using tensorflowjs_converter. My original model in (model.pb) works accurately in python too.
I'm still trying out to convert my model.pb file with different tensorflowjs_converters as it seems to be the converters versioning issue.