eIQ® Auto Deep Learning (DL) Toolkit for S32V23x Processors

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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

Quick reference to our software types.

2 downloads

  • BSPs and Device Drivers

    Vision SDK Software

  • BSPs and Device Drivers

    Automotive SW for S32V234 – Linux BSP

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

Documentation

Quick reference to our documentation types.

1 documents

Hardware

Quick reference to our board types.

2 hardware offerings

Training

3 trainings

Support

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