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Added Note for YOLO models #7

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Added Note for YOLO models #7

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6 changes: 6 additions & 0 deletions manual/working_with_models.rst
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Expand Up @@ -27,6 +27,12 @@ The following network model formats are supported:
PyTorch models can be saved in different formats, only `TorchScript` format is supported.
see :ref:`working-with-pytorch-models-label` for more information.

.. note::

For YOLO models in ``Tensorflow Lite`` format, we recommend selecting the ``float 32`` (fp32) model format.
SyNAP will quantize and optimize this format to run efficiently on the NPU.

For YOLO models in ``ONNX`` format, we recommend using the ``kl_divergence`` algorithm to optimize prediction results.

.. note::

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