Hi

I’m new to ML and I’m trying to get keypoint detection working in the browser. I found this Keras tutorial:

I got it working in Python, and then added a line to export it to .h5:

`model.save('keypoint.h5')`

I then converted it to tfjs:

`tensorflowjs_converter --input_format=keras /keypoint.h5 /tfjs_model`

However when I try and run it in the browser like so:

`const model = await tf.loadLayersModel(‘path/to/model.json’);`

I get the following error:

`Error: Unknown layer: TFOpLambda`

Looking inside model.json I can see the following Lambda layers:

```
{"class_name": "TFOpLambda", "config": {"name": "tf.math.truediv_1", "trainable": true, "dtype": "float32", "function": "math.truediv"}, "name": "tf.math.truediv_1", "inbound_nodes": [["input_4", 0, 0, {"y": 127.5, "name": null}]]},
{"class_name": "TFOpLambda", "config": {"name": "tf.math.subtract_1", "trainable": true, "dtype": "float32", "function": "math.subtract"}, "name": "tf.math.subtract_1", "inbound_nodes": [["tf.math.truediv_1", 0, 0, {"y": 1.0, "name": null}]]}
```

I’ve read that I need to create a custom layer, but this is where I’m completely stumped. How do I go about this? This is well beyond my current understanding but I’m keen to learn - any help appreciated.

Thanks