Ensure that the files you are using match the requirements of the model you are using and that cmake parameters are set accordingly. More information on these cmake parameters is detailed in their separate sections. Note that preprocessing of the files could also affect the inference result, such as the rescaling and padding operations done for image classification.
Ensure that your model is in a fully quantized .tflite file format, either uint8 or int8, and has successfully been run through the Vela compiler.
Check that cmake parameters match your new models input requirements.
Note: Vela tool is not available within this software project. It is a python tool available from https://pypi.org/project/ethos-u-vela/. The source code is hosted on https://git.mlplatform.org/ml/ethos-u/ethos-u-vela.git/.
Next section of the documentation: Contribution guidelines.