PyTorch: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 3: | Line 3: | ||
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. | 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 [[Region-based Convolutional Neural Network (Inference Overlay)|RCNN]] for an [[Inference Overlay]]. | ||
| Line 17: | Line 17: | ||
* [[ONNX]] | * [[ONNX]] | ||
* [[Inference Overlay]] | * [[Inference Overlay]] | ||
* [[Neural Network]] | * [[Region-based Convolutional Neural Network (Inference Overlay)|RCNN]] | ||
* [[Demo Training Data Project]] | * [[Demo Training Data Project]] | ||
Revision as of 15:59, 29 June 2026
PyTorch[1] 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[2] 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 Tygron Platform as a RCNN 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)
- ↑ Miniforge ∙ Found at: https://conda-forge.org/download/ ∙ (last visited: 2025-10-13)