Skip to content

Latest commit

 

History

History
18 lines (15 loc) · 683 Bytes

RELEASE.md

File metadata and controls

18 lines (15 loc) · 683 Bytes

Rlease 1.1.3

Major Features and Improvements

  • Deploy on either SC3 or SE3;
  • Replace some third-party libs to head only ones.
  • Use new apis of BMNNSDK v1.1.3;
  • Add samples for MXNnet and PyTorch models;
  • Update documents by sphinx and abandon cpp document by doxygen;

Rlease 1.1.2

Major Features

  • Deploy on SC3;
  • Integrate video decoder, image processing, NN inference, postprocessing;
  • Provide both C++ and Python APIs, write inference application with short code;
  • Automatically manage memory of tensors;
  • Automatically split models from Tensorflow and Mxnet for BM1682;
  • Provide algokit(a python algorithm toolkit) to deploy deep learning applications;