diff options
| author | Liam Barry <liam.barry@arm.com> | 2022-05-09 17:06:19 +0100 |
|---|---|---|
| committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-12 16:10:06 +0000 |
| commit | 213a543dd0d07b2f8d51a9c7e2055fd99291c960 (patch) | |
| tree | 7357c9961f395131140f8937e732fee68963dc63 /docs | |
| parent | dd44d29775e53ad311e1997bb8a7670d0ee6383e (diff) | |
| download | ml-embedded-evaluation-kit-213a543dd0d07b2f8d51a9c7e2055fd99291c960.tar.gz | |
MLECO-3186: Each use case should same namespace convention as KWS and ASR
Certain UCs required additional work due to case context variables which also
became part of a namespace in generated files.
Solution was to declare these extra variables as part of the UC namespace in the respective model.hpp files.
Additional changes to standardise use of namespaces may be required - proposing new task.
Minor typo and rewording of customizing.md in relevant sections included.
Signed-off-by: Liam Barry <liam.barry@arm.com>
Change-Id: Ie78f82a30be252cb841136ea5115f21fc8d762cb
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/sections/customizing.md | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/docs/sections/customizing.md b/docs/sections/customizing.md index f08706b..d97aa9e 100644 --- a/docs/sections/customizing.md +++ b/docs/sections/customizing.md @@ -377,7 +377,7 @@ model. ### 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 +array. This logic for generation of the C++ array from the `.tflite` file needs to be defined in the `usecase.cmake` file for this `HelloWorld` example. For more details on `usecase.cmake`, refer to: [Building options](./building.md#build-options). @@ -391,7 +391,7 @@ Model invokes the `ModelPointer()` function which calls the `GetModelPointer()` data memory address. The `GetModelPointer()` function is generated during the build and can be found in the file `build/generated/hello_world/src/<model_file_name>.cc`. The file generated is automatically added to the compilation. -Use the `${use-case}_MODEL_TFLITE_PATH` build parameter to include custom model to the generation, or compilation, +Use the `${use-case}_MODEL_TFLITE_PATH` build parameter to include custom model in the generation or compilation process. Please refer to: [Build options](./building.md#build-options) for further information. ## Executing inference @@ -404,9 +404,8 @@ To run an inference successfully, you must use: - A main loop function, - And some input data. -For the `hello_world` example below, the input array is not populated. However, for real-world scenarios, and before -compilation and be baked into the application, this data must either be read from an on-board device, or be prepared in -the form of C++ sources. +For the `hello_world` example below the input array is not populated. However, for real-world deployment this data must either be read from an on-board device or be prepared in +the form of C++ sources and baked into the application before compilation. For example, the image classification application requires extra build steps to generate C++ sources from the provided images with `generate_images_code` CMake function. |