Arm-Examples · Jithendar11 · Jul 3, 2026
diff --git a/RockPaperScissors/AppKit-E8_USB/Board/AppKit-E8_M55_HP/Board_HP-U85.clayer.yml b/RockPaperScissors/AppKit-E8_USB/Board/AppKit-E8_M55_HP/Board_HP-U85.clayer.yml
@@ -105,7 +105,6 @@ layer:
         - file: ext_init.c
         - file: profiler.c
         - file: profiler.h
-        - file: cxx_stubs.cpp
 
     - group: Ethos Interface
       files:

diff --git a/RockPaperScissors/AppKit-E8_USB/Board/AppKit-E8_M55_HP/Board_HP.clayer.yml b/RockPaperScissors/AppKit-E8_USB/Board/AppKit-E8_M55_HP/Board_HP.clayer.yml
@@ -113,7 +113,6 @@ layer:
         - file: ext_init.c
         - file: profiler.c
         - file: profiler.h
-        - file: cxx_stubs.cpp
 
     - group: Ethos Interface
       files:

diff --git a/...sors/AppKit-E8_USB/Board/AppKit-E8_M55_HP/RTE/Device/AE822FA0E5597BS0_M55_HP/RTE_Device.h b/...sors/AppKit-E8_USB/Board/AppKit-E8_M55_HP/RTE/Device/AE822FA0E5597BS0_M55_HP/RTE_Device.h
@@ -1030,11 +1030,7 @@
 //     <3=>   640x480_RGB565
 //     <4=>   320x240_RGB565
 //     <5=>   320x320_RGB565
-#if !IS_DATACAPTURE
-#define RTE_MT9M114_CAMERA_SENSOR_MIPI_IMAGE_CONFIG            2
-#else
-#define RTE_MT9M114_CAMERA_SENSOR_MIPI_IMAGE_CONFIG            1
-#endif
+#define RTE_MT9M114_CAMERA_SENSOR_MIPI_IMAGE_CONFIG            3
 
 // <o> select MT9M114 MIPI number of lanes in DPHY
 // <i> defines select MT9M114 MIPI number of lanes in DPHY.

diff --git a/...pKit-E8_USB/Board/AppKit-E8_M55_HP/RTE/Device/AE822FA0E5597BS0_M55_HP/linker_ac6_mram.sct b/...pKit-E8_USB/Board/AppKit-E8_M55_HP/RTE/Device/AE822FA0E5597BS0_M55_HP/linker_ac6_mram.sct
@@ -106,7 +106,7 @@ LR_ROM __ROM_BASE NOCOMPRESS __ROM_SIZE  {    ; load region size_region
     /* ExecuTorch large buffers */
     * (.bss.input_data_sec)
     * (.bss.activation_buf_sram)
-
+    * (.bss.pp_buf)                        ; Used for pre and post processing
     /* Everything else */
     .ANY (+RW +ZI)
   }

diff --git a/...t-E8_USB/Board/AppKit-E8_M55_HP/RTE/Device/AE822FA0E5597BS0_M55_HP/linker_gnu_mram.ld.src b/...t-E8_USB/Board/AppKit-E8_M55_HP/RTE/Device/AE822FA0E5597BS0_M55_HP/linker_gnu_mram.ld.src
@@ -172,6 +172,7 @@ SECTIONS
     *(.bss.lcd_frame_buf)                 /* LCD frame Buffer. */
     *(.bss.camera_frame_buf)              /* Camer Frame Buffer */
     *(.bss.camera_frame_bayer_to_rgb_buf) /* (Optional) Camera Frame Buffer for Bayer to RGB Conversion. */
+    *(.bss.pp_buf)
   } > SRAM0
 #endif
 

diff --git a/...cissors/AppKit-E8_USB/Board/Corstone-320/RTE/Device/SSE-320-FVP/ac6_linker_script.sct.src b/...cissors/AppKit-E8_USB/Board/Corstone-320/RTE/Device/SSE-320-FVP/ac6_linker_script.sct.src
@@ -81,7 +81,7 @@ LR_RAM0 __RAM0_BASE {
 
     ; NN Activation Tensor (activation buffer / tensor arena)
     *.o (*activation_buf)
-
+    *.o (*bss.pp_buf)
    .ANY (+RW +ZI)
   }
 #endif
@@ -103,7 +103,7 @@ LR_RAM0 __RAM0_BASE {
 LR_ROM2 __ROM2_BASE __ROM2_SIZE  {
   ER_ROM2 +0 __ROM2_SIZE {
     ; NN Model Binary Representation
-    *.o (nn_model)
+    *.o (network_model_sec)
 
    .ANY (+RO +XO)
   }

diff --git a/...Scissors/AppKit-E8_USB/Board/Corstone-320/RTE/Device/SSE-320-FVP/gcc_linker_script.ld.src b/...Scissors/AppKit-E8_USB/Board/Corstone-320/RTE/Device/SSE-320-FVP/gcc_linker_script.ld.src
@@ -320,6 +320,7 @@ SECTIONS
     . = ALIGN(32);
     *(*ethos_cache_buf)  /* Ethos-U Cache Area */
     *(*activation_buf)   /* NN Activation Tensor (activation buffer / tensor arena) */
+    *(*bss.pp_buf)
   } > RAM1
 
   /* Initialized buffers in fast access RAM */
@@ -331,7 +332,7 @@ SECTIONS
 
   .rom2 :
   {
-    *(*nn_model)         /* NN Model Binary Representation */
+    *(network_model_sec)         /* NN Model Binary Representation */
   } > ROM2
 
   .rom3 :

diff --git a/RockPaperScissors/AppKit-E8_USB/SDS.cbuild-mlops.yml b/RockPaperScissors/AppKit-E8_USB/SDS.cbuild-mlops.yml
@@ -10,7 +10,7 @@ cbuild-mlops:
     ini: .cmsis/ensemble_vela.ini
     options: --accelerator-config ethos-u85-256 --system-config RTSS_HE_SRAM_MRAM --memory-mode Shared_Sram
   model:
-    clayer: ai_layer/ai_layer.clayer.yml
+    clayer: algorithm/ML/ai_layer/ai_layer.clayer.yml
     name: RPS
   hardware:
     active: AppKit-E8-U85@HIL

diff --git a/RockPaperScissors/AppKit-E8_USB/SDS.csolution.yml b/RockPaperScissors/AppKit-E8_USB/SDS.csolution.yml
@@ -27,7 +27,7 @@ solution:
       variables:
         - Board-Layer: $SolutionDir()$/Board/AppKit-E8_M55_HP/Board_HP-U85.clayer.yml
         - SDSIO-Layer: $SolutionDir()$/sdsio/usb/sdsio_usb.clayer.yml
-        - AI-Layer: $SolutionDir()$/ai_layer/ai_layer.clayer.yml
+        - AI-Layer: $SolutionDir()$/algorithm/ML/ai_layer/ai_layer.clayer.yml
       target-set:
         - set: J-Link
           debugger:
@@ -62,7 +62,7 @@ solution:
       variables:
         - Board-Layer: $SolutionDir()$/Board/Corstone-320/Board-U85.clayer.yml
         - SDSIO-Layer: $SolutionDir()$/sdsio/fvp/sdsio_fvp.clayer.yml
-        - AI-Layer: $SolutionDir()$/ai_layer/ai_layer.clayer.yml
+        - AI-Layer: $SolutionDir()$/algorithm/ML/ai_layer/ai_layer.clayer.yml
       target-set:
         - set:
           images:
@@ -105,4 +105,4 @@ solution:
       target: AppKit-E8-U85@HIL # explicit target-type name (default: first target-type)
     simulator:
       # simulator target for testing
-      target: SSE-320-U85 # explicit target-type name (default: last target-type, check if debugger name: Arm-FVP)
+      target: SSE-320-U85 # explicit target-type name (default: last target-type, check if debugger name: Arm-FVP)
diff --git a/RockPaperScissors/AppKit-E8_USB/algorithm/AlgorithmTest.cproject.yml b/RockPaperScissors/AppKit-E8_USB/algorithm/AlgorithmTest.cproject.yml
@@ -23,7 +23,6 @@ project:
   define:
     - OS_IDLE_THREAD_NAME: \"Idle\"
     - OS_TIMER_THREAD_NAME: \"Timer\"
-    - ET_ARM_BAREMETAL_SCRATCH_TEMP_ALLOCATOR_POOL_SIZE: 0x100000
     - ET_ARM_BAREMETAL_METHOD_ALLOCATOR_POOL_SIZE: 0x100000
     - C10_USING_CUSTOM_GENERATED_MACROS
     - ET_NUM_INFERENCES: 1
@@ -32,6 +31,17 @@ project:
     - USE_PERFORMANCE_MONITOR
     - USE_SEGGER_SYSVIEW
 
+  setups:
+    - setup: Scratch pool for non-simulator
+      not-for-context: +SSE-320-U85
+      define:
+        - ET_ARM_BAREMETAL_SCRATCH_TEMP_ALLOCATOR_POOL_SIZE: 0x172000
+
+    - setup: Scratch pool for simulator
+      for-context: +SSE-320-U85
+      define:
+        - ET_ARM_BAREMETAL_SCRATCH_TEMP_ALLOCATOR_POOL_SIZE: 0x253000
+
   groups:
     - group: Documentation
       files:
@@ -47,11 +57,7 @@ project:
         - file: arm_memory_allocator.cc
         - file: arm_executor_runner.cc
         - file: arm_executor_runner.h
-        - file: arm_perf_monitor.cpp
-        - file: arm_perf_monitor.h
         - file: sysview_log.c
-        - file: image_processing_func.c
-        - file: image_processing_func.h
 
   components:
     - component: CMSIS:OS Tick:SysTick
@@ -67,6 +73,10 @@ project:
       type:  Board
     - layer: $AI-Layer$
       type:  AI
+    - layer: ML/ML.clayer.yml
+      type:  Image processing
+    - layer: ML/cil_layer/cil_layer.clayer.yml
+      type:  Common Inference library
 
   output:
     type:

diff --git a/RockPaperScissors/AppKit-E8_USB/algorithm/ML/ML.clayer.yml b/RockPaperScissors/AppKit-E8_USB/algorithm/ML/ML.clayer.yml
@@ -0,0 +1,12 @@
+layer:
+  type: ML
+  description: >
+    ML layer utilities. Contains shared ML-related helper functions
+    used by AI / Executorch layers such as image preprocessing.
+
+  groups:
+    - group: ML Utilities
+      files:
+        - file: image_processing_func.c
+        - file: image_processing_func.h
+        - file: model_config.h
diff --git a/RockPaperScissors/AppKit-E8_USB/algorithm/ML/README.md b/RockPaperScissors/AppKit-E8_USB/algorithm/ML/README.md
@@ -0,0 +1,75 @@
+# Common Inference Library (CIL)
+
+## Overview
+
+The **Common Inference Library (CIL)** provides a unified interface for
+**pre-processing** and **post-processing** of AI models such as **Image
+Classification** and **Object Detection**.
+
+Instead of writing model-specific processing code in every application,
+CIL exposes two common APIs:
+
+- `preprocess()`
+- `postprocess()`
+
+Based on the configured model, these APIs automatically invoke the
+required internal processing functions.
+
+---
+
+## Components
+
+| File | Description |
+|---|---|
+| `cil_process.a` | Prebuilt static library implementing pre-processing (resize, normalize, quantize) and post-processing (decode, NMS, format). Configured at build time for the target model category. |
+| `cil_helper.h` | Public C API header. Provides `preprocess()`, `postprocess()`, and data structures (`detection_t`, `postprocess_data_t`). |
+| `model_config.h` | Auto-generated header with model parameters - input dimensions (`MODEL_INPUT_WIDTH/HEIGHT/CHANNELS`), quantization scale/zero point, number of classes, labels, confidence threshold, and model category (`OBJECT_DETECTION` / `IMAGE_CLASSIFICATION`). |
+
+The AI Layer (runner code in the board's `algorithm/` folder) ties these together
+by calling the CIL APIs and delivering results through the SDS framework.
+
+---
+
+## Examples
+
+For a **Image Classification** model:
+
+**Preprocess** - Resize image, ImageNet normalization, tensor formatting  
+**Postprocess** - Softmax, argmax, confidence score
+
+For an **Object Detection** model:
+
+**Preprocess** - Resize / letterbox, quantization (if required)  
+**Postprocess** - Bounding box decoding, Non-Maximum Suppression (NMS), detection result formatting
+
+---
+
+## Benefits
+
+- Common API for multiple AI models
+- Eliminates duplicate processing code
+- Easy integration of new models
+- Simplifies application development
+- Modular and reusable design
+
+---
+
+## Typical Flow
+
+```
+Input Image
+     │
+     ▼
+preprocess()
+     │
+Model Inference
+     │
+     ▼
+postprocess()
+     │
+Application Result
+```
+
+The application only calls the common APIs, while CIL internally
+performs the model-specific preprocessing and postprocessing steps.
+
diff --git a/...ppKit-E8_USB/ai_layer/ai_layer.clayer.yml → ...algorithm/ML/ai_layer/ai_layer.clayer.yml b/...ppKit-E8_USB/ai_layer/ai_layer.clayer.yml → ...algorithm/ML/ai_layer/ai_layer.clayer.yml
@@ -4,7 +4,7 @@ layer:
 
   packs:
     - pack: PyTorch::ExecuTorch
-      path: ../../../packs/PyTorch.ExecuTorch.1.1.0-rc1-build.12
+      path: ../../../../../packs/PyTorch.ExecuTorch.1.1.0-rc1-build.12
 
   define:
     - ET_LOG_ENABLED : 0

diff --git a/...rs/AppKit-E8_USB/ai_layer/model/REPORT.md → ...USB/algorithm/ML/ai_layer/model/REPORT.md b/...rs/AppKit-E8_USB/ai_layer/model/REPORT.md → ...USB/algorithm/ML/ai_layer/model/REPORT.md