docs: comply with mkdocs style (#3378)

refactor(doc): comply with mkdocs style

Change from the Autoware.Auto style of package documentation to one that
gets parsed better by the current way of generating the documentation.

Issue-Id: SCM-5887

Change-Id: I898d00eda921ac73373067036c582a7bbc192cce

Signed-off-by: Ambroise Vincent <ambroise.vincent@arm.com>
Co-authored-by: Xinyu Wang <93699235+angry-crab@users.noreply.github.com>

Author: ambroise-arm

common/tvm_utility/design/tvm-utility-design.md common/tvm_utility/README.md

@@ -1,7 +1,8 @@
-# TVM Utility {#tvm-utility-design}
+# TVM Utility
 
 This is the design document for the `tvm_utility` package. For instructions on how to build the tests for YOLOv2 Tiny,
-see the @subpage tvm-utility-yolo-v2-tiny-tests. For information about where to store test artifacts see the @subpage tvm-utility-artifacts-readme.
+see the [YOLOv2 Tiny Example Pipeline](tvm-utility-yolo-v2-tiny-tests.md).
+For information about where to store test artifacts see the [TVM Utility Artifacts](artifacts/README.md).
 
 ## Purpose / Use cases
 
@@ -17,7 +18,7 @@ provided.
 ### API
 
 The pre-processor and post-processor need to be implemented by the user before instantiating the pipeline. You can see example
-usage in this [example_pipeline](../test/yolo_v2_tiny).
+usage in the example pipeline at `test/yolo_v2_tiny`.
 
 Each stage in the pipeline has a `schedule` function which takes input data as a parameter and return the output data.
 Once the pipeline object is created, `pipeline.schedule` is called to run the pipeline.

common/tvm_utility/artifacts/README.md

@@ -1,4 +1,4 @@
-# TVM Utility Artifacts {#tvm-utility-artifacts-readme}
+# TVM Utility Artifacts
 
 Place any test artifacts in subdirectories within this directory.
 

common/tvm_utility/design/tvm-utility-yolo-v2-tiny-tests.md common/tvm_utility/tvm-utility-yolo-v2-tiny-tests.md

@@ -1,4 +1,4 @@
-# YOLOv2 Tiny Example Pipeline {#tvm-utility-yolo-v2-tiny-tests}
+# YOLOv2 Tiny Example Pipeline
 
 This is an example implementation of an inference pipeline using the pipeline
 framework. This example pipeline executes the

perception/lidar_apollo_segmentation_tvm/design/lidar-segmentation-design.md perception/lidar_apollo_segmentation_tvm/README.md

@@ -1,8 +1,8 @@
-# lidar_apollo_segmentation_tvm {#lidar-apollo-segmentation-tvm-design}
+# lidar_apollo_segmentation_tvm
 
 ## Design
 
-### Usage {#lidar-apollo-segmentation-tvm-design-usage}
+### Usage
 
 #### Neural network
 

perception/lidar_apollo_segmentation_tvm_nodes/design/lidar-segmentation-nodes-design.md perception/lidar_apollo_segmentation_tvm_nodes/README.md

@@ -1,4 +1,4 @@
-# lidar_apollo_segmentation_tvm_nodes {#lidar-apollo-segmentation-tvm-nodes-design}
+# lidar_apollo_segmentation_tvm_nodes
 
 ## Purpose / Use cases