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aiml_templates.xml
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<?xml version="1.0" encoding="ASCII"?>
<model:MDescriptors xmlns:model="http://www.silabs.com/ss/Studio.ecore">
<descriptors name="ml_blink" label="AI/ML - Blink"
description="This application demonstrates a model trained to replicate a sine function.
The model is continuously fed with values ranging from 0 to 2pi, and the
output of the model is used to control the intensity of an LED.">
<properties key="namespace" value="template.uc"/>
<properties key="keywords" value="ai ml machine\ learning"/>
<properties key="solutionReferenceId" value="examples.ml_blink.ml_blink.slcp"/>
<properties key="projectFilePaths" value="examples/ml_blink/ml_blink.slcp"/>
<properties key="readmeFiles" value="examples/ml_blink/readme.md"/>
<properties key="boardCompatibility" value="brd4186c brd4187c brd2601b brd2608a com.silabs.board.none "/>
<properties key="partCompatibility" value=".*efr32.g2[468].*"/>
<properties key="ideCompatibility" value="generic-template makefile-ide simplicity-ide visual-studio-code visual-studio-code-cmake"/>
<properties key="toolchainCompatibility" value="gcc"/>
<properties key="category" value="AI/ML Application"/>
<properties key="quality" value="production"/>
<properties key="stockConfigCompatibility" value="com.silabs.ss.framework.project.toolchain.core.default"/>
<properties key="filters" value="Device Type|SoC MCU|32-bit\ MCU Project\ Difficulty|Advanced Capability|Machine\ Learning"/>
</descriptors>
<descriptors name="ml_magic_wand" label="AI/ML - Magic Wand"
description="This application demonstrates a model trained to recognize various hand gestures
with an accelerometer. The detected gestures are printed to the serial port.">
<properties key="namespace" value="template.uc"/>
<properties key="keywords" value="ai ml machine\ learning"/>
<properties key="solutionReferenceId" value="examples.ml_magic_wand.ml_magic_wand.slcp"/>
<properties key="projectFilePaths" value="examples/ml_magic_wand/ml_magic_wand.slcp"/>
<properties key="readmeFiles" value="examples/ml_magic_wand/readme.md"/>
<properties key="boardCompatibility" value="brd2601b brd2608a com.silabs.board.none "/>
<properties key="partCompatibility" value=".*efr32.g2[468].*"/>
<properties key="ideCompatibility" value="generic-template makefile-ide simplicity-ide visual-studio-code visual-studio-code-cmake"/>
<properties key="toolchainCompatibility" value="gcc"/>
<properties key="category" value="AI/ML Application"/>
<properties key="quality" value="production"/>
<properties key="stockConfigCompatibility" value="com.silabs.ss.framework.project.toolchain.core.default"/>
<properties key="filters" value="Device Type|SoC MCU|32-bit\ MCU Project\ Difficulty|Advanced Capability|Machine\ Learning"/>
</descriptors>
<descriptors name="ml_model_profiler" label="AI/ML - Model Profiler"
description="This application profiles a ML model. The ML model is loaded as a byte array
which is generated from a Tensorflow tflite model file. Profiling is performed
by running one inference with the model.">
<properties key="namespace" value="template.uc"/>
<properties key="keywords" value="ai ml machine\ learning"/>
<properties key="solutionReferenceId" value="examples.ml_model_profiler.ml_model_profiler.slcp"/>
<properties key="projectFilePaths" value="examples/ml_model_profiler/ml_model_profiler.slcp"/>
<properties key="readmeFiles" value="examples/ml_model_profiler/readme.md"/>
<properties key="boardCompatibility" value="brd4186c brd4187c brd2601b brd2608a com.silabs.board.none "/>
<properties key="partCompatibility" value=".*efr32.g2[468].*"/>
<properties key="ideCompatibility" value="generic-template makefile-ide simplicity-ide visual-studio-code visual-studio-code-cmake"/>
<properties key="toolchainCompatibility" value="gcc"/>
<properties key="category" value="AI/ML Application"/>
<properties key="quality" value="production"/>
<properties key="stockConfigCompatibility" value="com.silabs.ss.framework.project.toolchain.core.default"/>
<properties key="filters" value="Device Type|SoC MCU|32-bit\ MCU Project\ Difficulty|Advanced Capability|Machine\ Learning"/>
</descriptors>
<descriptors name="ml_voice_control_light" label="AI/ML - Voice Control Light"
description="This application uses TensorFlow Lite for Microcontrollers to detect the spoken
words 'on' and 'off' from audio data recorded on the microphone in a Micrium OS
kernel task. The detected keywords are used to control an LED on the board.">
<properties key="namespace" value="template.uc"/>
<properties key="keywords" value="ai ml machine\ learning"/>
<properties key="solutionReferenceId" value="examples.ml_voice_control_light.ml_voice_control_light.slcp"/>
<properties key="projectFilePaths" value="examples/ml_voice_control_light/ml_voice_control_light.slcp"/>
<properties key="readmeFiles" value="examples/ml_voice_control_light/readme.md"/>
<properties key="boardCompatibility" value="brd2601b brd2608a com.silabs.board.none "/>
<properties key="partCompatibility" value=".*efr32.g2[468].*"/>
<properties key="ideCompatibility" value="generic-template makefile-ide simplicity-ide visual-studio-code visual-studio-code-cmake"/>
<properties key="toolchainCompatibility" value="gcc"/>
<properties key="category" value="AI/ML Application"/>
<properties key="quality" value="production"/>
<properties key="stockConfigCompatibility" value="com.silabs.ss.framework.project.toolchain.core.default"/>
<properties key="filters" value="Device Type|SoC MCU|32-bit\ MCU Project\ Difficulty|Advanced Capability|Machine\ Learning"/>
</descriptors>
<descriptors name="ml_audio_classifier" label="AI/ML - Audio Classifier"
description="This application uses TensorFlow Lite for Microcontrollers to classify
audio data recorded on the microphone in a Micrium OS kernel task.
The classification is used to control a LED on the board.">
<properties key="namespace" value="template.uc"/>
<properties key="keywords" value="ai ml machine\ learning"/>
<properties key="solutionReferenceId" value="examples.ml_audio_classifier.ml_audio_classifier.slcp"/>
<properties key="projectFilePaths" value="examples/ml_audio_classifier/ml_audio_classifier.slcp"/>
<properties key="readmeFiles" value="examples/ml_audio_classifier/readme.md"/>
<properties key="boardCompatibility" value="brd2601b brd2608a com.silabs.board.none "/>
<properties key="partCompatibility" value=".*efr32.g2[468].*"/>
<properties key="ideCompatibility" value="generic-template makefile-ide simplicity-ide visual-studio-code visual-studio-code-cmake"/>
<properties key="toolchainCompatibility" value="gcc"/>
<properties key="category" value="AI/ML Application"/>
<properties key="quality" value="production"/>
<properties key="stockConfigCompatibility" value="com.silabs.ss.framework.project.toolchain.core.default"/>
<properties key="filters" value="Device Type|SoC MCU|32-bit\ MCU Project\ Difficulty|Advanced Capability|Machine\ Learning"/>
</descriptors>
<descriptors name="ml_zigbee_z3_switch_with_voice" label="AI/ML - Zigbee 3.0 Switch with Voice"
description="Zigbee 3.0 Switch with Voice sample.">
<properties key="namespace" value="template.uc"/>
<properties key="keywords" value="ai ml machine\ learning zigbee z3"/>
<properties key="solutionReferenceId" value="examples.ml_zigbee_z3_switch_with_voice.ml_zigbee_z3_switch_with_voice.slcp"/>
<properties key="projectFilePaths" value="examples/ml_zigbee_z3_switch_with_voice/ml_zigbee_z3_switch_with_voice.slcp"/>
<properties key="readmeFiles" value="examples/ml_zigbee_z3_switch_with_voice/readme.md"/>
<properties key="boardCompatibility" value="brd2601b brd2608a com.silabs.board.none "/>
<properties key="partCompatibility" value=".*efr32.g2[468].*"/>
<properties key="ideCompatibility" value="generic-template makefile-ide simplicity-ide visual-studio-code visual-studio-code-cmake"/>
<properties key="toolchainCompatibility" value="gcc"/>
<properties key="category" value="AI/ML Application"/>
<properties key="quality" value="production"/>
<properties key="stockConfigCompatibility" value="com.silabs.ss.framework.project.toolchain.core.default"/>
<properties key="filters" value="Wireless\ Technology|Zigbee Device Type|SoC MCU|32-bit\ MCU Project\ Difficulty|Advanced Capability|Machine\ Learning"/>
</descriptors>
</model:MDescriptors>