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Updated low-latency docs to point to the correct zero-copy branch
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docs/source/tutorials/low-latency.rst

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@@ -108,9 +108,10 @@ Encoded frames
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- 7.5
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- `link <https://user-images.githubusercontent.com/18037362/162675335-2e5a9581-972a-448c-b650-6b6d076a04b8.png>`__
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You can also reduce frame latency by using `Zero-Copy <https://github.com/luxonis/depthai-python/tree/tmp_zero_copy>`__
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You can also reduce frame latency by using `Zero-Copy <https://github.com/luxonis/depthai-python/tree/message_zero_copy>`__
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branch of the DepthAI. This will pass pointers (at XLink level) to cv2.Mat instead of doing memcopy (as it currently does),
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so performance improvement would depend on the image sizes you are using.
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(Note: API differs and not all functionality is available as is on the `message_zero_copy` branch)
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Reducing latency when running NN

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