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DeepDetect v0.9.1 - TensorRT backend
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@beniz beniz released this 30 Jun 13:26
· 1225 commits to master since this release
v0.9.1
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This release mainly adds support for TensorRT, including DLA acceleration on NVidia Xavier boards.

For a full report on performances for a variety of image models (classification and object detection) on various embedded boards (Jetson Nano, TX2 & Xavier), see Jolibrain's report here: https://www.jolibrain.com/reports/Jolibrain_DeepDetect_NVidia_Caffe_TensorRT_benchmarks_june_2019_2.pdf

Main changes:

  • Support for TensorRT 5.x with "mllib":"tensorrt" API option (#594)
    • Automated compilation from Caffe models to TensorRT accelerated models
    • Support for DLA on Xavier board
    • Benchmark tool update for tensorRT (#589)
  • Fix to object detection bounding boxes boundaries (#594)
  • Support for residual networks with LSTMs for time-series (#583)
  • Performances fixes for time-series (#583)
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