https://github.com/tinycompositehar/esp32tflitecompositeharmodeldeployment
Deploy a simple MLP model onto ESP32-S3 board and collects metrics
https://github.com/tinycompositehar/esp32tflitecompositeharmodeldeployment
esp32-s3 tensorflow-esp32 tensorflow-lite tensorflow-lite-micro tiny-mlp tinyml
Last synced: about 1 month ago
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Deploy a simple MLP model onto ESP32-S3 board and collects metrics
- Host: GitHub
- URL: https://github.com/tinycompositehar/esp32tflitecompositeharmodeldeployment
- Owner: TinyCompositeHAR
- License: other
- Created: 2024-09-27T02:26:15.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-24T01:41:59.000Z (over 1 year ago)
- Last Synced: 2025-12-27T04:53:13.397Z (5 months ago)
- Topics: esp32-s3, tensorflow-esp32, tensorflow-lite, tensorflow-lite-micro, tiny-mlp, tinyml
- Language: C
- Homepage:
- Size: 1.06 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
ESP32TFLiteCompositeHARModelDeployment
Tools
This is a standard [platformio](https://platformio.org/) project for `esp32-s3-devkitc-1`
board which deploys a simple [MLP](include/SimpleMLP.h) to ESP32-S3 Dev Kit.
For model training etc., please refer to
[this repository](https://github.com/TinyCompositeHAR/LowComputeCompositeADLModels).
### Acknowledgment
To speed the development time, compilation, and deployment, I have used the
[EloquentTinyML](https://github.com/eloquentarduino/EloquentTinyML/tree/5d3636f8ab5eddb23691c79e2dd14dd5858f8be3) library as
project dependency developed and
maintained by [eloquent arduino](https://github.com/eloquentarduino) which makes it
criminally easy to deploy TensorFlow Lite Micro models on ESP32 boards.
