[ai-camera-pipelines] Misc improvements.

Author: Arnaud-de-Grandmaison-ARM

content/learning-paths/mobile-graphics-and-gaming/ai-camera-pipelines/1-prerequisites.md

@@ -13,7 +13,7 @@ This Learning Path demonstrates how to improve the performance of camera pipelin
 ## Install required software
 
 Make sure the following tools are installed:
-- `git` - a version control system, for cloning the Voice Assistant codebase.
+- `git` - a version control system, for cloning the AI camera pipelines codebase.
 - `git lfs` - an extension to `git` for managing large files by storing lightweight references instead of the files themselves.
 - `docker` - an open-source containerization platform for running applications in isolated environments.
 - `libomp` - LLVM's OpenMP runtime library, required for enabling parallel execution during application performance optimization.
@@ -52,7 +52,7 @@ Once you have confirmed that Docker is installed on your machine, you can check
 docker run hello-world
 Unable to find image 'hello-world:latest' locally
 latest: Pulling from library/hello-world
-c9c5fd25a1bd: Pull complete 
+c9c5fd25a1bd: Pull complete
 Digest: sha256:c41088499908a59aae84b0a49c70e86f4731e588a737f1637e73c8c09d995654
 Status: Downloaded newer image for hello-world:latest
 

content/learning-paths/mobile-graphics-and-gaming/ai-camera-pipelines/3-build.md

@@ -73,15 +73,26 @@ Leave the container by pressing `Ctrl+D`.
 
 ## Notes on the cmake configuration options
 
-- `-DENABLE_SME2=$ENABLE_SME2` with `ENABLE_SME2=0`: SME2 (Scalable Matrix Extension 2) is disabled in this build (`0`).  
-- `-DARMNN_TFLITE_PARSER=0`: Configures the `ai-camera-pipelines` repository to use LiteRT with XNNPack instead of ArmNN.
-- `-DENABLE_KLEIDICV:BOOL=ON`: Enables KleidiCV for optimized image processing.
-- `-DXNNPACK_ENABLE_KLEIDIAI:BOOL=ON`:  Enables KleidiAI acceleration for LiteRT workloads via XNNPack.
+The `cmake` command line options relevant to this learning path are:
+
+| Command line option                 | Description                                                                                  |
+|-------------------------------------|----------------------------------------------------------------------------------------------|
+| `ENABLE_SME2=$ENABLE_SME2`          | SME2 (Scalable Matrix Extension 2) is disabled in this build with `ENABLE_SME2=0`.           |
+| `ARMNN_TFLITE_PARSER=0`             | Configures the `ai-camera-pipelines` repository to use LiteRT with XNNPack instead of ArmNN. |
+| `ENABLE_KLEIDICV:BOOL=ON`           | Enables KleidiCV for optimized image processing.                                             |
+| `XNNPACK_ENABLE_KLEIDIAI:BOOL=ON`   | Enables KleidiAI acceleration for LiteRT workloads via XNNPack.                              |
 
 ## Install the pipelines
 
 ```bash
 cd $HOME
 tar xfz ai-camera-pipelines.git/install.tar.gz
 mv install ai-camera-pipelines
-```
+```
+
+## Diving further in the AI camera pipelines
+
+The AI camera pipelines
+[repository](https://git.gitlab.arm.com/kleidi/kleidi-examples/ai-camera-pipelines)
+contains more information in its README file should you wish to dive deeper into
+it.

content/learning-paths/mobile-graphics-and-gaming/ai-camera-pipelines/4-run.md

@@ -30,4 +30,5 @@ cd $HOME/ai-camera-pipelines
 bin/low_light_image_enhancement resources/test_input2.ppm test_output2_lime.ppm resources/HDRNetLIME_lr_coeffs_v1_1_0_mixed_low_light_perceptual_l2_loss_int8_only_ptq.tflite
 ```
 
+![example image alt-text#center](test_input2.png "Original picture")
 ![example image alt-text#center](test_output2_lime.png "Picture with low-light enhancement applied")