pyeIQ

Python framework for eIQ on i.MX

Please refer to the following pyeIQ documentation:

https://pyeiq.dev/

Note that eIQ support is only included on imx-image-full-imx8mpevk.wic pre-built image [1]. *** THIS IMAGE is only for 8M Plus!

Please take a look on switch_image application, we are using TFLite 2.1.0. This application offers a graphical interface for users to run an object classification demo using either CPU or NPU.

# pyeiq --run switch_image

We also have a TFLite example out of pyeIQ, please refer to instructions below. Details can be found on i.MX Linux User's Guide [2].

# cd /usr/bin/tensorflow-lite-2.1.0/examples

# ./label_image -m mobilenet_v1_1.0_224_quant.tflite -i grace_hopper.bmp -l labels.txt

The i.MX Linux User's Guide [2] also provides instructions on how to get our latest Linux BSP [1] up and running. *** NOTE FOR 8M Plus only!

[1]: https://www.nxp.com/webapp/sps/download/license.jsp?colCode=L5.4.47_2.2.0_MX8MP-BETA2&appType=file1&DOWNLOAD_ID=null

[2]: https://www.nxp.com/docs/en/user-guide/IMX_LINUX_USERS_GUIDE.pdf

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