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authorKshitij Sisodia <kshitij.sisodia@arm.com>2021-05-27 13:57:35 +0100
committerIsabella Gottardi <isabella.gottardi@arm.com>2021-05-27 16:27:44 +0100
commitb9e9c899dcbbe35cac72bceb117ae4ec56494d81 (patch)
tree5984a5ba1453c09e55094f9971e0b244169287a6 /docs/sections/troubleshooting.md
parent698c5a7316044c64ed98500a9a602554c69c9f3f (diff)
downloadml-embedded-evaluation-kit-b9e9c899dcbbe35cac72bceb117ae4ec56494d81.tar.gz
MLECO-1943: Documentation review
Major update for the documentation. Also, a minor logging change in helper scripts. Change-Id: Ia79f78a45c9fa2d139418fbc0ca9e52245704ba3
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# Troubleshooting
-- [Inference results are incorrect for my custom files](#inference-results-are-incorrect-for-my-custom-files)
-- [The application does not work with my custom model](#the-application-does-not-work-with-my-custom-model)
+- [Troubleshooting](#troubleshooting)
+ - [Inference results are incorrect for my custom files](#inference-results-are-incorrect-for-my-custom-files)
+ - [The application does not work with my custom model](#the-application-does-not-work-with-my-custom-model)
## Inference results are incorrect for my custom files
-Ensure that the files you are using match the requirements of the model
-you are using and that cmake parameters are set accordingly. More
-information on these cmake parameters is detailed in their separate
-sections. Note that preprocessing of the files could also affect the
-inference result, such as the rescaling and padding operations done for
-image classification.
+Ensure that the files you are using match the requirements of the model you are using. Ensure that cmake parameters are
+set accordingly. More information on these cmake parameters is detailed in their separate sections.
+
+> **Note:** Preprocessing of the files can also affect the inference result, such as the rescaling and padding
+> operations performed for image classification.
## The application does not work with my custom model
-Ensure that your model is in a fully quantized `.tflite` file format,
-either uint8 or int8, and has successfully been run through the Vela
-compiler.
+Ensure that your model is in a fully quantized `.tflite` file format, either `uint8` or `int8`, and that it has
+successfully been run through the Vela compiler.
-Check that cmake parameters match your new models input requirements.
+Also, please check that the cmake parameters used match the input requirements of your new model.
-> **Note:** Vela tool is not available within this software project.
-It is a python tool available from <https://pypi.org/project/ethos-u-vela/>.
-The source code is hosted on <https://git.mlplatform.org/ml/ethos-u/ethos-u-vela.git/>.
+> **Note:** The Vela tool is not available within this software project. It is a separate Python tool that is available
+> from: <https://pypi.org/project/ethos-u-vela/>. The source code is hosted on
+> <https://git.mlplatform.org/ml/ethos-u/ethos-u-vela.git/>.
-Next section of the documentation: [Appendix](appendix.md).
+The next section of the documentation is: [Appendix](appendix.md).