eIQ® OpenCV Neural Network and ML Algorithm Support | NXP Semiconductors

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eIQ® OpenCV Neural Network and ML Algorithm Support

eIQOpenCV

NXP’s eIQ software supports the OpenCV library – a well-known industry standard comprised of programming functions that can perform image processing, video encoding/decoding, video analysis and object detection, in addition to processing of deep neural networks (DNN) and classical machine learning algorithms (ML). The cross-platform eIQ for OpenCV library is free for use under the open-source BSD license. eIQ for OpenCV NN targets Arm® Cortex®-A cores and utilizes Arm Neon™ technology acceleration to process TensorFlow and Caffe trained NN models.

Diagram

eIQ OpenCV Neural Network and ML Algorithm Support

eIQ OpenCV Neural Network and ML Algorithm Support
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Features

  • An open-source computer vision and machine learning software library
  • Includes OpenCV DNN module for processing TensorFlow and Caffe trained neural network models
  • Includes OpenCV ML module for classical machine learning algorithms like support vector machine (SVM)
  • Uses Arm Neon™ SIMD architecture for processors which implement the Armv7-A or Armv7-R profile
  • Fully integrated into Yocto recipe for OpenCV 4.0 supporting i.MX 8, i.MX 6, and i.MX 7
  • Learn more about OpenCV library

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  • Software Development Resources

    eIQ Machine Learning Software for i.MX Linux 4.14.y

    EXTERNALRev 0Jun 24, 20191 KBEIQ-MLSOFTWARE
    Download

Note: For better experience, software downloads are recommended on desktop.

Y true 0 SSPeIQOpenCVen 2 Fact Sheet Fact Sheet t523 1 User Guide User Guide t792 1 en_US en_US en User Guide User Guide 1 1 4 English This document provides guidance for the supported ML software for the i.MX family. 1558520067379708290484 SSP 3.6 MB None None documents None 1558520067379708290484 /docs/en/nxp/user-guides/UM11226.pdf 3637066 /docs/en/nxp/user-guides/UM11226.pdf UM11226 documents N N 2019-05-22 NXP eIQ<sup>&reg;</sup> Machine Learning Enablement /docs/en/nxp/user-guides/UM11226.pdf /docs/en/nxp/user-guides/UM11226.pdf User Guide N 132339537837198660 2022-12-07 pdf N en Jun 9, 2020 132339537837198660 User Guide Y N NXP eIQ<sup>&reg;</sup> Machine Learning Enablement Fact Sheet Fact Sheet 1 2 4 Japanese Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs 1562948465206707057398ja SSP 653.2 KB None None documents None 1562948465206707057398 /docs/ja/fact-sheet/EIQ-FS.pdf 653150 /docs/ja/fact-sheet/EIQ-FS.pdf EIQ-FS documents N N 2019-07-12 eIQ Software Fact Sheet /docs/ja/fact-sheet/EIQ-FS.pdf /docs/ja/fact-sheet/EIQ-FS.pdf Fact Sheet N 736675474163315314 2022-12-07 ja Jul 11, 2023 736675474163315314 Fact Sheet Y N eIQ 機械学習ソフトウェア開発環境 4 English Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs 1562948465206707057398 SSP 653.2 KB None None documents None 1562948465206707057398 /docs/en/fact-sheet/EIQ-FS.pdf 653150 /docs/en/fact-sheet/EIQ-FS.pdf EIQ-FS documents N N 2019-07-12 eIQ Software Fact Sheet /docs/en/fact-sheet/EIQ-FS.pdf /docs/en/fact-sheet/EIQ-FS.pdf Fact Sheet N 736675474163315314 2022-12-07 pdf N en Jan 21, 2022 736675474163315314 Fact Sheet Y N eIQ Software Fact Sheet false 0 eIQOpenCV downloads en true 1 Y SSP Y Y Fact Sheet 1 /docs/en/fact-sheet/EIQ-FS.pdf 2019-07-12 1562948465206707057398 SSP 2 Jan 21, 2022 Fact Sheet Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs None /docs/en/fact-sheet/EIQ-FS.pdf English documents 653150 None 736675474163315314 2022-12-07 N /docs/en/fact-sheet/EIQ-FS.pdf eIQ Software Fact Sheet /docs/en/fact-sheet/EIQ-FS.pdf documents 736675474163315314 Fact Sheet N en None Y pdf 4 N N eIQ Software Fact Sheet 653.2 KB EIQ-FS N 1562948465206707057398 User Guide 1 /docs/en/nxp/user-guides/UM11226.pdf 2019-05-22 1558520067379708290484 SSP 1 Jun 9, 2020 User Guide This document provides guidance for the supported ML software for the i.MX family. None /docs/en/nxp/user-guides/UM11226.pdf English documents 3637066 None 132339537837198660 2022-12-07 N /docs/en/nxp/user-guides/UM11226.pdf NXP eIQ<sup>&reg;</sup> Machine Learning Enablement /docs/en/nxp/user-guides/UM11226.pdf documents 132339537837198660 User Guide N en None Y pdf 4 N N NXP eIQ<sup>&reg;</sup> Machine Learning Enablement 3.6 MB UM11226 N 1558520067379708290484 true Y Softwares

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