I ran the face detect ACH code, it's working. I want to know more about the BYOM and training a model from scratch in the eIQ toolkit. In the last conference, NXP mentioned something about BYOM and BYOD.
I need to upload my images, label it and train and want to put it in MCXN947 board. Is it possible?
I tried accessing the eIQ model creator, the request has been submitted. I have downloaded the eIQ timeseries (I think it's for data like motor anomaly detection or something) and also downloaded the eIQ neutron SDK. I just want the workflow or material or user guide for training the model and put it in MCXN947.
Hi @Gayathriii
Yes, this is absolutely possible on the MCXN947.
For your use case:
Upload my images → label them → train a model → run on MCXN947
This is a classic BYOD workflow.
Option 1: eIQ Model Creator
Once your eIQ Model Creator access is approved:
Create a new image classification project.
Upload your image dataset.
Label the images (or organize them by folders/classes).
Train a model using transfer learning.
Export a TensorFlow Lite model (.tflite).
Use the eIQ Neutron SDK to convert the model for MCXN947.
Integrate the converted model into your MCUXpresso project and run it on the board.
Option 2: Train Yourself (TensorFlow)
You do not actually need Model Creator.
You can:
Collect images.
Label them.
Train with TensorFlow/Keras.
Export
Resources：
1. MCXN947: How to Train and Deploy Customer ML Model to NPU
Images
↓
Training
↓
TensorFlow Lite model
↓
neutron-converter
↓
NPU-enabled .tflite
↓
MCUXpresso project
↓
MCXN947 NPU
``2. AN14241 - How to Integrate Customer ML Model to NPU on MCX N94x