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| author | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2021-05-27 11:07:30 +0100 |
|---|---|---|
| committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2021-05-27 11:07:30 +0100 |
| commit | 698c5a7316044c64ed98500a9a602554c69c9f3f (patch) | |
| tree | 691419940ca82aeee49bfb2fd7e31f85fddbee4c /docs/quick_start.md | |
| parent | 3ef1fd4880d76f62ee25c8a6f2afaa3f869498c1 (diff) | |
| download | ml-embedded-evaluation-kit-698c5a7316044c64ed98500a9a602554c69c9f3f.tar.gz | |
MLECO-1953: Corrections for documentation
Minor documentation corrections for the location of
`images.txt` file (used for MPS3 FPGA deployment).
Change-Id: Icdeaae04a5b9132c0d2f3d48948588e4954a85e6
Diffstat (limited to 'docs/quick_start.md')
| -rw-r--r-- | docs/quick_start.md | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/docs/quick_start.md b/docs/quick_start.md index 3efbd52..80cbc30 100644 --- a/docs/quick_start.md +++ b/docs/quick_start.md @@ -22,6 +22,9 @@ is using a shared SRAM with the Arm® Cortex®-M55. 4. Next, you can use the `build_default` python script to get the default neural network models, compile them with Vela and build the project. + + > **Note:** This helper script needs python version 3.6 or higher. + [Vela](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela) is an open-source python tool converting TensorFlow Lite for Microcontrollers neural network model into an optimized model that can run on an embedded system containing an Ethos-U55 NPU. It is worth noting that in order to take full advantage of the capabilities of the NPU, the |