PyTorch - Revision history

Rudolf@tygron.nl at 09:48, 17 October 2025

2025-10-17T09:48:06Z

← Older revision		Revision as of 09:48, 17 October 2025
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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\|PyTorch}} is a Python-based, open source, and production-ready AI framework that supports distributed training, graph mode, and cloud platforms.

	PyTorch packages can be installed and managed using Conda. Conda-forge's Miniforge<ref ~~name="~~Miniforge~~"/>~~ is an open-source application that allows you to create and manage conda environments.		PyTorch packages can be installed and managed using Conda. Conda-forge's Miniforge{{ref\|Miniforge}} is an open-source application that allows you to create and manage conda environments.

	Trained PyTorch Models can be exported using the [[ONNX]] file format, which in turn can be imported into the {{software}} as a [[Neural Network]] for an [[Inference Overlay]].		Trained PyTorch Models can be exported using the [[ONNX]] file format, which in turn can be imported into the {{software}} as a [[Neural Network]] for an [[Inference Overlay]].
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	* [[How to import an ONNX file for an Inference Overlay]]		* [[How to import an ONNX file for an Inference Overlay]]
	* [[How to adjust a Neural Networks metadata]]		* [[How to adjust a Neural Networks metadata]]

	\|seealso=		\|seealso=
	* [[ONNX]]		* [[ONNX]]
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	* [[Neural Network]]		* [[Neural Network]]
	* [[Demo Training Data Project]]		* [[Demo Training Data Project]]
	}}

	~~==References=~~=		\|references=
	<references>		<references>
	<ref name="PyTorch~~">PyTorch ∙ found at:~~ https://pytorch.org/ ~~(last visited:~~ 2025-02-04~~)</~~ref>		{{ref\|PyTorch
	~~<ref~~ name="Miniforge~~">Miniforge ∙ found at:~~ https://conda-forge.org/download/ ~~(last visited:~~ 2025-10-13~~)</ref>~~		\|name=PyTorch
			\|link=https://pytorch.org/
			\|lastvisit=2025-02-04
			\|author= \|page= \|source=
			}}
			{{ref\|Miniforge
			\|name=Miniforge
			\|link=https://conda-forge.org/download/
			\|lastvisit=2025-10-13
			\|author= \|page= \|source=
			}}
	</references>		</references>
			}}
	{{GeoDataOverview}}		{{GeoDataOverview}}

Frank@tygron.nl at 12:57, 14 October 2025

2025-10-14T12:57:08Z

← Older revision		Revision as of 12:57, 14 October 2025
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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.

	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]].		PyTorch packages can be installed and managed using Conda. Conda-forge's Miniforge<ref name="Miniforge"/> is an open-source application that allows you to create and manage conda environments.

			Trained PyTorch Models can be exported using the [[ONNX]] file format, which in turn can be imported into the {{software}} as a [[Neural Network]] for an [[Inference Overlay]].

	~~PyTorch packages can be installed and managed using Conda. Conda-forge's Miniforge<ref name="Miniforge"/> is an open-source application that allows you to create and manage conda environments.~~

	{{article end		{{article end

Frank@tygron.nl at 12:52, 14 October 2025

2025-10-14T12:52:41Z

← Older revision		Revision as of 12:52, 14 October 2025
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	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]].		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]].

	PyTorch packages can be installed and managed using Conda. Conda-forge's ~~[https:~~/~~/conda-forge.org/download/ Miniconda]~~ is an open-source application that allows you to create and manage conda environments.		PyTorch packages can be installed and managed using Conda. Conda-forge's Miniforge<ref name="Miniforge"/> is an open-source application that allows you to create and manage conda environments.

	{{article end		{{article end
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	<references>		<references>
	<ref name="PyTorch">PyTorch ∙ found at: https://pytorch.org/ (last visited: 2025-02-04)</ref>		<ref name="PyTorch">PyTorch ∙ found at: https://pytorch.org/ (last visited: 2025-02-04)</ref>
			<ref name="Miniforge">Miniforge ∙ found at: https://conda-forge.org/download/ (last visited: 2025-10-13)</ref>
	</references>		</references>
	{{GeoDataOverview}}		{{GeoDataOverview}}

Frank@tygron.nl at 12:50, 14 October 2025

2025-10-14T12:50:59Z

← Older revision		Revision as of 12:50, 14 October 2025
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	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]].		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]].

			PyTorch packages can be installed and managed using Conda. Conda-forge's [https://conda-forge.org/download/ Miniconda] is an open-source application that allows you to create and manage conda environments.

	{{article end		{{article end

Frank@tygron.nl at 15:25, 4 February 2025

2025-02-04T15:25:23Z

← Older revision		Revision as of 15:25, 4 February 2025
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	==References==		==References==
	<references>		<references>
	<ref name="PyTorch">PyTorch ∙ found at: https://pytorch.org/ (last visited: ~~2024~~-09-21)</ref>		<ref name="PyTorch">PyTorch ∙ found at: https://pytorch.org/ (last visited: 2025-02-04)</ref>
	</references>		</references>
	{{GeoDataOverview}}		{{GeoDataOverview}}

Frank@tygron.nl at 15:24, 4 February 2025

2025-02-04T15:24:53Z

← Older revision		Revision as of 15:24, 4 February 2025
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	* [[How to import an ONNX file using drag and drop]]		* [[How to import an ONNX file using drag and drop]]
	* [[How to import an ONNX file for an Inference Overlay]]		* [[How to import an ONNX file for an Inference Overlay]]
			* [[How to adjust a Neural Networks metadata]]
	\|seealso=		\|seealso=
	* [[ONNX]]		* [[ONNX]]

Frank@tygron.nl at 15:23, 4 February 2025

2025-02-04T15:23:30Z

← Older revision		Revision as of 15:23, 4 February 2025
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	{{article end		{{article end
	\|howtos=		\|howtos=
			* [[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 using drag and drop]]
	* [[How to import an ONNX file for an Inference Overlay]]		* [[How to import an ONNX file for an Inference Overlay]]
	* [[How to train your own AI model for an Inference Overlay]]
	\|seealso=		\|seealso=
	* [[ONNX]]		* [[ONNX]]

Frank@tygron.nl at 15:23, 4 February 2025

2025-02-04T15:23:17Z

← Older revision		Revision as of 15:23, 4 February 2025
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	* [[How to import an ONNX file using drag and drop]]		* [[How to import an ONNX file using drag and drop]]
	* [[How to import an ONNX file for an Inference Overlay]]		* [[How to import an ONNX file for an Inference Overlay]]
			* [[How to train your own AI model for an Inference Overlay]]
	\|seealso=		\|seealso=
	* [[ONNX]]		* [[ONNX]]

Frank@tygron.nl at 14:50, 31 January 2025

2025-01-31T14:50:11Z

← Older revision		Revision as of 14:50, 31 January 2025
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	* [[Inference Overlay]]		* [[Inference Overlay]]
	* [[Neural Network]]		* [[Neural Network]]
	* [[Demo ~~Train Dataset~~ Project]]		* [[Demo Training Data Project]]
	}}		}}

Frank@tygron.nl at 14:03, 29 January 2025

2025-01-29T14:03:44Z

← Older revision		Revision as of 14:03, 29 January 2025
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	* [[Inference Overlay]]		* [[Inference Overlay]]
	* [[Neural Network]]		* [[Neural Network]]
			* [[Demo Train Dataset Project]]
	}}		}}