From 314948696e0dba0ffc868863868308b027824e1f Mon Sep 17 00:00:00 2001 From: Isabella Gottardi Date: Fri, 13 Aug 2021 16:29:39 +0100 Subject: MLECO-2235: Fix documentation Signed-off-by: Isabella Gottardi Change-Id: If8d6bf60cd4961be4c29f46ea75422b093185b04 --- docs/sections/customizing.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) (limited to 'docs/sections/customizing.md') diff --git a/docs/sections/customizing.md b/docs/sections/customizing.md index 4cea26f..3104986 100644 --- a/docs/sections/customizing.md +++ b/docs/sections/customizing.md @@ -7,7 +7,7 @@ - [Application context](#application-context) - [Profiler](#profiler) - [NN Model API](#nn-model-api) - - [Adding custom ML use-case](#adding-custom-ml-use-case) + - [Adding custom ML use-case](#adding-custom-ml-use_case) - [Implementing main loop](#implementing-main-loop) - [Implementing custom NN model](#implementing-custom-nn-model) - [Define ModelPointer and ModelSize methods](#define-modelpointer-and-modelsize-methods) @@ -15,7 +15,7 @@ - [Printing to console](#printing-to-console) - [Reading user input from console](#reading-user-input-from-console) - [Output to MPS3 LCD](#output-to-mps3-lcd) - - [Building custom use-case](#building-custom-use-case) + - [Building custom use-case](#building-custom-use_case) This section describes how to implement a custom Machine Learning application running on Arm® *Corstone™-300* based FVP or on the Arm® MPS3 FPGA prototyping board. @@ -441,7 +441,7 @@ These functions are wrappers around the functions generated in the C++ file cont array. This generation the C++ array from the `.tflite` file, logic needs to be defined in the `usecase.cmake` file for this `HelloWorld` example. -For more details on `usecase.cmake`, refer to: [Building custom use-case](#building-custom-use-case). +For more details on `usecase.cmake`, refer to: [Building options](./building.md#build-options). For details on code generation flow in general, refer to: [Automatic file generation](./building.md#automatic-file-generation). @@ -641,7 +641,7 @@ twice: platform.data_psn->present_data_image((uint8_t *) inputTensor->data.data, 224, 224, 3, 10, 35, 2); ``` -Please refer to the [Hardware Abstraction Layer (HAL) API](#hardware-abstraction-layer-hal-api) section for more data presentation functions. +Please refer to the [Hardware Abstraction Layer API](./customizing.md#hardware-abstraction-layer-api) section for more data presentation functions. ## Building custom use-case -- cgit v1.2.1