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Caffe Models for DesignWare EV Processors, v2018.03 RC1

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@dmitrygolovkin dmitrygolovkin released this 19 Mar 18:17
· 135 commits to master since this release
MWEV2018.03RC1
979dfb4

This is RC1 for 2018.03 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with synopsys-caffe and the MetaWare EV Development Toolkit v2018.03 RC1, from Synopsys.

Supported Models

  • alexnet
  • denoiser
  • dencenet - new
  • facedetect_v1
  • facedetect_v2
  • googlenet
  • inception_resnet_v2 - new
  • inception_v3 - new
  • inception_v4 - new
  • lenet
  • mobilnet* - new set of mbilenet cnn_models
  • resnet_50
  • scene_segmentation
  • Squeeze_Net_v1.0
  • SqueezeNet_v1.1
  • ssd - new
  • vgg16
  • yolo_tiny
  • yolo_v1
  • yolo_v2_coco
  • yolo_v2_voc

Usage Instructions

IMPORTANT NOTE: This repository uses git-lfs for large file storage. You can't use zip and tar files listed in the "Assets" section above (added by default by github). You must clone the repository using the instructions below

  1. Install git-lfs

  2. Ensure git-lfs and git versions you use are compatible (equal or greater than below)

$ git lfs version
git-lfs/2.0.2

$ git –version
git version 2.9.3

  1. Add SSH key to your GitHub account (if you haven't already)

  2. clone the repo:

$ git clone https://github.com/foss-for-synopsys-dwc-arc-processors/synopsys-caffe-models.git
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