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A TensorFlow.js Graph Model Converter

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I'm getting `Converting.... Error: utf-8` when converting posenet network. Any hints on how I can fix this?

Hello, I need to use these libraries in my python scripts but they are written in C++ and provided for JS. https://blog.tensorflow.org/2020/11/iris-landmark-tracking-in-browser-with-MediaPipe-and-TensorFlowJS.html https://google.github.io/mediapipe/solutions/face_mesh https://github.com/vladmandic/human Can I convert them to python...

When trying to install version 1.6.3 using pypi in Mac M1 `pip install tfjs-graph-converter==1.6.3` I'm getting the following error `ERROR: Could not find a version that satisfies the requirement tensorflow-metal>=2.3;...

Since the change to [add Apple Silicon specific dependencies](https://github.com/patlevin/tfjs-to-tf/commit/19596ed0ae5a1aeb3ebdbf3fb33cc84382ec584a), my GitHub Actions build on macos is failing (Python 3.7): > ERROR: Could not find a version that satisfies the requirement...

unable to convert blazepose 3d https://www.kaggle.com/models/mediapipe/blazepose-3d getting below error tfjs_graph_converter ./model.json ./savedmodel --output_format tf_saved_model TensorFlow.js Graph Model Converter Graph model: ./model.json Output: ./savedmodel Target format: tf_saved_model Converting.... Error: 34 nodes...

model support