eIQ Download Information

Document created by Miguel Hernandez Employee on Jun 25, 2019Last modified by Vanessa Maegima on May 21, 2020
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eIQ Software for i.MX application processors

eIQ Machine Learning Software for iMX Linux - 5.4.3_1.0.0 GA for i.MX6/7 and i.MX8MQ/8MM/8MN/8QM/8QXP has been released.

eIQ Machine Learning Software for iMX Linux - 5.4.3_2.0.0 BETA for i.MX8QXPlus and ALPHA for i.MX8MP and i.MX8DXL has been released.

 

It contains machine learning support for Arm NN, TensorFlow and TensorFlow Lite, ONNX, and OpenCV.  For running on Arm Cortex A cores, these inference engines are accelerated with Arm NEON instructions. For running on the NPU (of the i.MX 8M Plus) and i.MX 8 GPUs, NXP has included optimizations with Arm NN and TensorFlow Lite inference engines. For more information and complete details please be sure to check out the "NXP eIQ Machine Learning" chapter in the Linux User Guide (starting on L4.19 releases; L4.14 releases users should refer to NXP eIQ™ Machine Learning Software Development Environment for i.MX Applications Processors). You can access corresponding sample applications at https://source.codeaurora.org/external/imxsupport/eiq_sample_apps/.

 

For more information on artificial intelligence, machine learning and eIQ Software please visit AI & Machine Learning | NXP.

 

 

eIQ Software for i.MX RT crossover processors

eIQ is now included in the MCUXpresso SDK package for i.MX RT1050 and i.MX RT1060.

  1. Go to https://mcuxpresso.nxp.comand search for the SDK for your board
  2. On the SDK builder page, click on “Add software component”
  3. Click on “Select All” and verify the eIQ software option is now checked. Then click on “Save Changes”
  4. Download the SDK. It will be saved as a .zip file.

eIQ projects can be found in the \boards\<board_name>\eiq_examples folder

eIQ source code can be found in the \middleware\eiq folder

 

More details can be found in this Community post  on how to get started with eIQ on i.MX RT devices. 

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