Neural Networks i.MX. Contribute to nxp-imx/nn-imx development by creating an account on GitHub.

The NXP eIQ is contained in the meta-imx/meta-ml Yocto layer. See also the i.MX Yocto Project User's Guide (UG10164) for more information. The following four inference engines are currently supported in the NXP eIQ software stack: TensorFlow Lite,

Quickly get your Linux based designs started with the full-featured and energy-efficient i.MX family of processors by using our Linux development tools. Our goal is to provide you with a comprehensive Linux environment that is easy to develop your …

吒唩发哰具。恩智浦eIQ 包含在meta -imx/meta mlYocto layer 中。咋需了够更味信息，请参夘《i.MX Yocto Project 用户嗏南》 （IMXLXYOCTOUG）。 恩智浦eIQ妐件嚐目前嘎持 Y下6个嗩理引嘋：Arm NN、TensorFlow Lite、ONNX Runtime、PyTorch、OpenCV吒DeepViewTMRT。

The NXP eIQ toolkit is contained in the meta-imx/meta-ml layer. These five inference engines are currently supported in the NXP eIQ software stack: ArmNN, TensorFlow Lite, ONNX Runtime, PyTorch, and OpenCV.

2020年1月6日 · i.MX 8M Plus提供2.3 TOPS算力（每秒兆级操作）的高性能NPU、主频高达2GHz的四核Arm ® Cortex-A53子系统、主频可达800MHz 的基于Cortex-M7的独立实时子系统、用于进行语音和自然语言处理的高性能800 MHz音频DSP、双摄像头图像信号处理器（ISP）和用于丰富图形渲染的3D GPU。 通过将高性能的Cortex-A53内核与NPU相结合，边缘设备将在少量或无人为干预的情况下支持机器学习和推理输入，从而在本地端做出明智的决策。 经济高效 …

2024年10月25日 · **linux-fslc** 是Freescale社区维护的内核仓库，更多地面向最新的上游内核和开发实验场景；而**linux-imx** 是NXP官方维护的内核仓库，专门为i.MX处理器提供生产环境的长期支持和稳定版本。

imx-image-full: This is the big image which includes imx-image-multimedia + OpenCV + QT6 + Machine Learning packages.

Multicore solutions for multimedia and display applications with high-performance and low-power capabilities that are scalable, safe and secure. i.MX applications processors are part of the EdgeVerse™ edge computing platform built on a foundation of scalability, energy efficiency, security, machine learning and connectivity.

It provides a bridge between existing neural network frameworks and power-efficient Cortex-A CPUs, Arm Mali GPUs and Arm Ethos NPUs. Arm NN SDK utilizes the Compute Library to target programmable cores, such as Cortex-A CPUs and Mali GPUs, as efficiently as possible. To target Ethos NPUs the NPU-Driver is utilized.