Ensure that the files you are using match the requirements of the model you are using. Ensure that cmake parameters are set accordingly. More information on these cmake parameters is detailed in their separate sections.
Note: Preprocessing of the files can also affect the inference result, such as the rescaling and padding operations performed for image classification.
Ensure that your model is in a fully quantized .tflite file format, either uint8 or int8, and that it has successfully been run through the Vela compiler.
Also, please check that the cmake parameters used match the input requirements of your new model.
Note: The Vela tool is not available within this software project. It is a separate Python tool that is 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/.
The next section of the documentation is: Appendix.