eIQ® Toolkit | NXP Semiconductors

エンドツーエンドのモデル開発と展開のためのeIQ® Toolkit

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ソフトウェア詳細

eIQ Toolkitのブロック図

eIQ Toolkit Block Diagram

特長

eIQ Toolkit

  • 実行時の知見に基づくグラフレベルのプロファイリング機能を実現し、ターゲットのEdgeVerse™プロセッサ上で実行するためのニューラル・ネットワーク・アーキテクチャの最適化を支援
  • MLアプリケーションの各種サンプルを用意
  • 事前にトレーニングされたモデルのデータベースから選択するか、BYOM (Bring your own model) で独自のモデルを使用可能
  • 転移学習機能ではBYOD (Bring your own data) フローをサポートし、ユーザー独自のデータを使用可能

eIQ Portal

  • ビジョンML開発を簡素化し、あらゆる経験レベルの開発者を支援する直感的なグラフィカル・ユーザー・インターフェース (GUI)
  • ビジョンMLモデルの作成、最適化、デバッグ、エクスポート
  • データセットとモデルのインポート、ニューラル・ネットワーク・モデルとビジョンMLワークロードの迅速なトレーニングと展開
  • DeepViewRT、TensorFlow™ Lite、TensorFlow Lite Micro、Glow、ONNX Runtimeの各推論エンジンへのシームレスな出力
  • TensorFlowフレームワークから、またはONNX形式でモデルをインポート可能
  • コンピュータ・ビジョン・アプリケーション用の物体検知および画像分類モデルが付属

eIQ Extensions

  • 拡張されたアドオン機能
  • モデルIPの保護、トレーニング・データの強化、先進的な量子化など

対応製品

  • i.MX8: i.MX 8ファミリ - Arm® Cortex®-A53、Cortex-A72、仮想化、ビジョン、3Dグラフィックス、4Kビデオ
  • i.MX8M: i.MX 8Mファミリ - Arm® Cortex®-A53、Cortex-M4、オーディオ、音声、ビデオ
  • i.MX8MNANO: i.MX 8M Nanoファミリ - Arm® Cortex®-A53、Cortex-M7
  • IMX8MPLUS: i.MX 8M Plus - Arm® Cortex®-A53、機械学習、ビジョン、マルチメディア、インダストリアルIoT
  • i.MX8X: i.MX 8Xファミリ - Arm® Cortex®-A35、3Dグラフィックス、4Kビデオ、DSP、DDRの誤り訂正符号 (ECC)
  • i.MX-RT1064: i.MX RT1064:Arm® Cortex®-M7搭載クロスオーバーMCU
  • i.MX-RT1170: i.MX RT1170:Arm® Cortex®コア搭載1 GHzクロスオーバーMCU
  • i.MX-RT500: i.MX RT500 Arm® Cortex®-M33、DSP、GPUコア搭載クロスオーバーMCU
  • i.MX-RT1160: i.MX RT1160 デュアルコアArm® Cortex®-M7およびCortex-M4搭載クロスオーバーMCU
  • i.MX-RT1050: i.MX RT1050 Arm® Cortex®-M7コア搭載クロスオーバーMCU
  • i.MX-RT600: i.MX RT600 Arm® Cortex®-M33およびDSPコア搭載クロスオーバーMCU
  • i.MX8MMINI: i.MX 8M Mini - Arm® Cortex®-A53、Cortex-M4搭載、オーディオ、音声、ビデオ向け
  • i.MX-RT1060: i.MX RT1060:Arm® Cortex®-M7搭載クロスオーバーMCU
  • i.MX95: i.MX 95アプリケーション・プロセッサ・ファミリ:eIQ® Neutron NPUを内蔵した高性能のセーフティ対応プラットフォーム
  • i.MX93: i.MX 93アプリケーション・プロセッサ・ファミリ – Arm® Cortex®-A55、MLアクセラレーション、電力効率に優れたMPU

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Models to NXP Supported Inference Engines Using ONNX /secured/assets/documents/zh/application-note/AN13769.pdf https://www.nxp.com.cn/webapp/Download?colCode=AN13769&docLang=zh Application Note N 645036621402383989 2024-12-13 zh Dec 13, 2022 645036621402383989 Application Note Y N 使用ONNX,将PyTorch模型部署到恩智浦支持的推理引擎 0 English AN13769: This document focuses on the conversion, quantization, and optimization of PyTorch models to the TensorFlow Lite and DeepViewRT inference engines. 1670996429930711970276 SSP 2.9 MB Registration without Disclaimer None documents Basic 1670996429930711970276 /secured/assets/documents/en/application-note/AN13769.pdf 2865615 /secured/assets/documents/en/application-note/AN13769.pdf AN13769 documents Y N 2022-12-13 Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX /webapp/Download?colCode=AN13769&lang_cd=ja /secured/assets/documents/en/application-note/AN13769.pdf Application Note N 645036621402383989 2024-12-13 pdf Y en Dec 13, 2022 645036621402383989 Application Note Y N Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX ユーザ・ガイド User Guide 6 4 18 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1648748585935713787321 SSP 10.9 MB Registration without Disclaimer None documents Extended 1648748585935713787321 /secured/assets/documents/en/user-guide/EIQTUG.pdf 10925248 /secured/assets/documents/en/user-guide/EIQTUG.pdf EIQTUG documents Y N 2022-03-31 eIQ Toolkit 1.14.0 User Guide /webapp/Download?colCode=EIQTUG&lang_cd=ja /secured/assets/documents/en/user-guide/EIQTUG.pdf User Guide N 132339537837198660 2025-01-21 pdf Y en Jan 18, 2025 132339537837198660 User Guide Y N eIQ Toolkit 1.14.0 User Guide 5 1.8.0 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 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/secured/assets/documents/en/user-guide/EIQ-UG.pdf EIQ-UG documents Y N 2022-01-18 eIQ Toolkit 1.2.5 User’s Guide /webapp/Download?colCode=EIQ-UG&lang_cd=ja /secured/assets/documents/en/user-guide/EIQ-UG.pdf User Guide N 132339537837198660 2023-06-18 pdf Y en Jan 18, 2022 132339537837198660 User Guide Y N eIQ Toolkit 1.2.5 User’s Guide ファクト・シート Fact Sheet 1 10 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 en Jan 21, 2022 736675474163315314 Fact Sheet Y N eIQ Software Fact Sheet 4 Japanese Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs 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inference engines. Registration without Disclaimer /secured/assets/documents/en/application-note/AN13769.pdf English documents 2865615 None 645036621402383989 2024-12-13 Y /webapp/Download?colCode=AN13769&lang_cd=ja Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX /secured/assets/documents/en/application-note/AN13769.pdf documents 645036621402383989 Application Note N en Basic Y pdf 0 Y N Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX 2.9 MB AN13769 N 1670996429930711970276 ファクト・シート 1 /docs/ja/fact-sheet/EIQ-FS.pdf 2019-07-12 1562948465206707057398ja SSP 10 Jul 11, 2023 Fact Sheet Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs None /docs/ja/fact-sheet/EIQ-FS.pdf Japanese documents 653150 None 736675474163315314 2022-12-07 N /docs/ja/fact-sheet/EIQ-FS.pdf eIQ 機械学習ソフトウェア開発環境 /docs/ja/fact-sheet/EIQ-FS.pdf documents 736675474163315314 Fact Sheet N ja None Y pdf 4 N N eIQ Software Fact Sheet 653.2 KB EIQ-FS N 1562948465206707057398 ユーザ・ガイド 7 /secured/assets/documents/en/user-guide/EIQTUG.pdf 2022-03-31 1648748585935713787321 SSP 4 Jan 18, 2025 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. Registration without Disclaimer /secured/assets/documents/en/user-guide/EIQTUG.pdf English documents 10925248 None 132339537837198660 2025-01-21 Y /webapp/Download?colCode=EIQTUG&lang_cd=ja eIQ Toolkit 1.14.0 User Guide /secured/assets/documents/en/user-guide/EIQTUG.pdf documents 132339537837198660 User Guide N en Extended Y pdf 18 Y N eIQ Toolkit 1.14.0 User Guide 10.9 MB EIQTUG N 1648748585935713787321 /docs/en/user-guide/EIQTKUG-1.8.0.pdf 2023-07-20 1689873159728726489299 SSP 5 Jul 20, 2023 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 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Registration without Disclaimer /secured/assets/documents/en/user-guide/EIQ-UG.pdf English documents 2571110 None 132339537837198660 2023-06-18 Y /webapp/Download?colCode=EIQ-UG&lang_cd=ja eIQ Toolkit 1.2.5 User’s Guide /secured/assets/documents/en/user-guide/EIQ-UG.pdf documents 132339537837198660 User Guide N en Extended Y pdf 3 Y N eIQ Toolkit 1.2.5 User’s Guide 2.6 MB EIQ-UG N 1642536766242719410567 /docs/en/user-guide/EIQTKUG-1.6.9.pdf 2023-02-07 1675781618896716137772 SSP 1 Feb 7, 2023 User Guide ユーザ・ガイド The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. None /docs/en/user-guide/EIQTKUG-1.6.9.pdf English 4618219 None User Guide 2023-02-07 N /docs/en/user-guide/EIQTKUG-1.6.9.pdf eIQ Toolkit User Guide 1.6.9 /docs/en/user-guide/EIQTKUG-1.6.9.pdf documents 132339537837198660 User Guide N Y en None Y t792 pdf 1.6.9 N N eIQ Toolkit User Guide 1.6.9 4.6 MB EIQTKUG-1.6.9 N 1675781618896716137772 リリース・ノート 7 /docs/en/release-note/EIQTRN.pdf 2022-03-31 1648748265118722294554 SSP 11 Jan 20, 2025 Release Note This document contains information about the content, new features, and limitations of the eIQToolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning models as efficiently as possible on NXP hardware. None /docs/en/release-note/EIQTRN.pdf English documents 145071 None 487216834315582133 2025-01-21 N /docs/en/release-note/EIQTRN.pdf eIQ Toolkit 1.14.0 Release Notes /docs/en/release-note/EIQTRN.pdf documents 487216834315582133 Release Note N en None Y pdf 18 N N eIQ Toolkit 1.14.0 Release Notes 145.1 KB EIQTRN N 1648748265118722294554 /docs/en/release-note/EIQTRN-1.8.0.pdf 2023-07-20 1689874055031711623924 SSP 12 Jul 20, 2023 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning models as efficiently as possible on NXP hardware. None /docs/en/release-note/EIQTRN-1.8.0.pdf English documents 169618 None 487216834315582133 2023-07-20 N /docs/en/release-note/EIQTRN-1.8.0.pdf eIQ Toolkit 1.8.0 Release Notes /docs/en/release-note/EIQTRN-1.8.0.pdf documents 487216834315582133 Release Note N en None Y pdf 1.8.0 N N eIQ Toolkit 1.8.0 Release Notes 169.6 KB EIQTRN-1.8.0 N 1689874055031711623924 /docs/en/release-note/EIQTRN-1.7.3.pdf 2023-04-21 1682096405039725396288 SSP 13 Apr 21, 2023 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware None /docs/en/release-note/EIQTRN-1.7.3.pdf English documents 169406 None 487216834315582133 2023-04-21 N /docs/en/release-note/EIQTRN-1.7.3.pdf eIQ Toolkit 1.7.3 Release Notes /docs/en/release-note/EIQTRN-1.7.3.pdf documents 487216834315582133 Release Note N en None Y pdf 1.7.3 N N eIQ Toolkit 1.7.3 Release Notes 169.4 KB EIQTRN-1.7.3 N 1682096405039725396288 /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf 2022-10-05 1664991241936703442122 SSP 14 Oct 5, 2022 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware Registration without Disclaimer /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf English documents 108369 None 487216834315582133 2023-06-18 Y /webapp/Download?colCode=EIQTRN-1.5.2&lang_cd=ja eIQ Toolkit 1.5.2 Release Notes /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf documents 487216834315582133 Release Note N en Extended Y pdf 1.5.2 Y N eIQ Toolkit 1.5.2 Release Notes 108.4 KB EIQTRN-1.5.2 N 1664991241936703442122 /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf 2022-07-12 1657660732145712008392 SSP 15 Jul 12, 2022 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. Registration without Disclaimer /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf English documents 118268 None 487216834315582133 2022-12-07 Y /webapp/Download?colCode=EIQTRN_1.4.5&lang_cd=ja eIQ Toolkit 1.4.5 Release Notes /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf documents 487216834315582133 Release Note N en Extended Y pdf 1.4.5 Y N eIQ Toolkit 1.4.5 Release Notes 118.3 KB EIQTRN_1.4.5 N 1657660732145712008392 /docs/en/release-note/EIQ-RN.pdf 2022-01-18 1642536213501714780256 SSP 16 Jan 18, 2022 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. None /docs/en/release-note/EIQ-RN.pdf English documents 112294 None 487216834315582133 2022-12-07 N /docs/en/release-note/EIQ-RN.pdf eIQ Toolkit 1.2.5 Release Notes /docs/en/release-note/EIQ-RN.pdf documents 487216834315582133 Release Note N en None Y pdf 3 N N eIQ Toolkit 1.2.5 Release Notes 112.3 KB EIQ-RN N 1642536213501714780256 /docs/en/release-note/EIQTRN-1.6.9.pdf 2023-02-07 1675781840847690473344 SSP 2 Feb 7, 2023 Release Note リリース・ノート This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware None /docs/en/release-note/EIQTRN-1.6.9.pdf English 168532 None Release Note 2023-02-07 N /docs/en/release-note/EIQTRN-1.6.9.pdf eIQ Toolkit 1.6.9 Release Notes /docs/en/release-note/EIQTRN-1.6.9.pdf documents 487216834315582133 Release Note N Y en None Y t933 pdf 1.6.9 N N eIQ Toolkit 1.6.9 Release Notes 168.5 KB EIQTRN-1.6.9 N 1675781840847690473344 true Y Softwares

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