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This repository has been archived by the owner on Mar 19, 2023. It is now read-only.
I trained a Pose Model for two classes. I trained it for experimenting on some random labels. I want to run inference on this tfjs model but the model accepts float32[?,14739] as input. Usually, all the image models accept input in these formats:
I trained a Pose Model for two classes. I trained it for experimenting on some random labels. I want to run inference on this
tfjs
model but the model acceptsfloat32[?,14739]
as input. Usually, all the image models accept input in these formats:[batch_size, height, width, channels]
[batch_size, channels, height, width]
The model doesn't accept input in any of the above format. Am i missing something here?
How did I check the input shape?
*.zip
file of the modelmodel.json
file on the netron.appLink to Pose Model: https://teachablemachine.withgoogle.com/models/irJWnCc6c/
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