EIQ® Auto Deep Learning Toolkit for S32V23x Processors

EIQ-AUTO-TOOLKIT

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eIQ Auto deep learning toolkit development eIQ Auto deep learning toolkit development

Software Details

Features

  • Training Frameworks: Interface to standard frameworks like TensorFlow, Pytorch, Caffe, and ONNX
  • Optimization: Prunes, quantizes, and compresses the Neural Network
  • Embedded Deployment: Automated neural net layer deployment to the optimum available compute resource
  • Auto Quality Inference Engine: A-SPICE qualified inference engine
  • Different types of networks are supported including detection, classification and segmentation
  • Includes optimized support for the following networks: MobileNetV1, MobileNetV2, SqueezeNet1.1, SSDMobileNet, ResNet-50, DeepLab v3 and SqueezeSeg

System Requirements

Downloads

2 downloads

  • BSP, Drivers and Middleware

    Vision SDK Software

  • BSP, Drivers and Middleware

    Automotive SW for S32V234 – Linux BSP

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

Design Resources

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Documentation

Quick reference to our documentation types.

1 documents

Hardware

2 hardware offerings

Training

3 trainings

Support

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