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Diffstat (limited to 'docs/sections/customizing.md')
| -rw-r--r-- | docs/sections/customizing.md | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/docs/sections/customizing.md b/docs/sections/customizing.md index 2df32d5..745132f 100644 --- a/docs/sections/customizing.md +++ b/docs/sections/customizing.md @@ -2,7 +2,7 @@ - [Implementing custom ML application](#implementing-custom-ml-application) - [Software project description](#software-project-description) - - [Hardware Abstraction Layer (HAL) API](#hardware-abstraction-layer-hal-api) + - [Hardware Abstraction Layer API](#hardware-abstraction-layer-api) - [Main loop function](#main-loop-function) - [Application context](#application-context) - [Profiler](#profiler) @@ -10,7 +10,7 @@ - [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) + - [Define ModelPointer and ModelSize methods](#define-modelpointer-and-modelsize-methods) - [Executing inference](#executing-inference) - [Printing to console](#printing-to-console) - [Reading user input from console](#reading-user-input-from-console) @@ -72,7 +72,7 @@ use-cases, sources are in the `use-case` subfolder. > └── *.cc > ``` -## Hardware Abstraction Layer (HAL) API +## Hardware Abstraction Layer API The HAL is represented by the following interfaces. To access them, include the `hal.h` header. @@ -435,7 +435,7 @@ bool arm::app::HelloWorldModel::EnlistOperations() { To minimize the memory footprint of the application, we advise you to only register operators that are used by the NN model. -### Define `ModelPointer` and `ModelSize` methods +### Define ModelPointer and ModelSize methods These functions are wrappers around the functions generated in the C++ file containing the neural network model as an array. This generation the C++ array from the `.tflite` file, logic needs to be defined in the `usecase.cmake` file for @@ -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 [HAL API](#hal-api) section for more data presentation functions. +Please refer to the [Hardware Abstraction Layer (HAL) API](#hardware-abstraction-layer-hal-api) section for more data presentation functions. ## Building custom use-case @@ -694,7 +694,7 @@ generate_tflite_code( This ensures that the model path pointed to by `${use_case}_MODEL_TFLITE_PATH` is converted to a C++ array and is picked up by the build system. More information on auto-generations is available under section: -[Automatic file generation](./building.md#Automatic-file-generation). +[Automatic file generation](./building.md#automatic-file-generation). To build you application, follow the general instructions from [Add Custom inputs](./building.md#add-custom-inputs) and then specify the name of the use-case in the build command, like so: |