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Created page with "PyTorch<ref name="PyTorch"/> is a Python-based, open source, and production-ready AI framework that supports distributed training, graph mode, and cloud platforms. PyTorch models can be converted to ONNX which can be imported into the {{software}}. {{article end |see also= * How to import an ONNX file |see also= * ONNX * Inference Overlay }} ==References== <references> <ref name="PyTorch">PyTorch ∙ found at: https://pytorch.org/ (last visited: 2024-..." |
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PyTorch<ref name="PyTorch"/> is a Python-based, open source, and production-ready AI framework that supports distributed training, graph mode, and cloud platforms. | PyTorch<ref name="PyTorch"/> is a Python-based, open source, and production-ready AI framework that supports distributed training, graph mode, and cloud platforms. | ||
PyTorch | A PyTorch model can be converted to an [[ONNX]] file, which in turn can be imported into the {{software}} as a [[Neural Network]] for an [[Inference Overlay]]. | ||
{{article end | {{article end | ||
| | |howtos= | ||
* [[How to import an ONNX file]] | * [[How to export AI Training Data]] | ||
| | * [[How to train your own AI model for an Inference Overlay]] | ||
* [[How to import an ONNX file using drag and drop]] | |||
* [[How to import an ONNX file for an Inference Overlay]] | |||
* [[How to adjust a Neural Networks metadata]] | |||
|seealso= | |||
* [[ONNX]] | * [[ONNX]] | ||
* [[Inference Overlay]] | * [[Inference Overlay]] | ||
* [[Neural Network]] | |||
* [[Demo Training Data Project]] | |||
}} | }} | ||
==References== | ==References== | ||
<references> | <references> | ||
<ref name="PyTorch">PyTorch ∙ found at: https://pytorch.org/ (last visited: | <ref name="PyTorch">PyTorch ∙ found at: https://pytorch.org/ (last visited: 2025-02-04)</ref> | ||
</references> | </references> | ||
{{GeoDataOverview}} | {{GeoDataOverview}} | ||
Latest revision as of 15:25, 4 February 2025
PyTorch[1] is a Python-based, open source, and production-ready AI framework that supports distributed training, graph mode, and cloud platforms.
A PyTorch model can be converted to an ONNX file, which in turn can be imported into the Tygron Platform as a Neural Network for an Inference Overlay.
How-to's
- How to export AI Training Data
- How to train your own AI model for an Inference Overlay
- How to import an ONNX file using drag and drop
- How to import an ONNX file for an Inference Overlay
- How to adjust a Neural Networks metadata
See also
References
- ↑ PyTorch ∙ found at: https://pytorch.org/ (last visited: 2025-02-04)