Output tensor (Inference Overlay): Difference between revisions
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(Created page with "An Output tensor is a multi-dimensional data array that serves as output for Neural Networks. Generally these output tensors are results of the operations applied by the convolution neural network on the input tensors. Depending on the type of neural network, multiple type of output tensors can be generated. thumb|right|An output tensor link in the Inference Overlay Wizard. In the {{software}}, the following ou...") |
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[[File:inference_overlay_wizard_tensor_link_ouput.jpg|thumb|right|An output tensor link in the Inference Overlay Wizard.]] | [[File:inference_overlay_wizard_tensor_link_ouput.jpg|thumb|right|An output tensor link in the Inference Overlay Wizard.]] | ||
In the {{software}}, the following output tensors are supported: | In the {{software}}, the following output tensors are supported: | ||
* | * [[Boxes result type (Inference Overlay)|BOXES]] | ||
* LABELS | * LABELS | ||
* MASKS | * MASKS | ||
Revision as of 09:29, 9 October 2024
An Output tensor is a multi-dimensional data array that serves as output for Neural Networks. Generally these output tensors are results of the operations applied by the convolution neural network on the input tensors. Depending on the type of neural network, multiple type of output tensors can be generated.
In the Tygron Platform, the following output tensors are supported:
- BOXES
- LABELS
- MASKS
- SCORES
Notes
- The inference overlay wizard will report an issue when a prequel is referenced by a tensor link and it is not yet specified for the Inference Overlay.
