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Inference-Uff-model-Jetson-Tx2

API provides serialization / deserialization and inference of uff models using Tensorrt (c++) methods on JetsonTx2. Achievable fps 14-18!

Foreword

If you are looking to optimize Cnn performance through Tensorrt (C ++ API) on JetsonTx2, then this tutorial may help you.

My versions:

  • JetPack 4.4
  • CUDA V10.2.89
  • CUDNN 8.0.0
  • OpenCV 4.4.0
  • Tensorrt 7.1.3

RUN

  1. Place the supplied folders in /usr/src/tensorrt/samples.
  2. Replace items with common
  3. Replace Makefile and Makefile.config respectively.
  4. Run /inferUffModel$ make.
  5. You must first have a .uff network model. Use the converter
python3 /usr/lib/python3.6/dist-packages/uff/bin/convert_to_uff.py \
  /frozen_inference_graph.pb -O NMS \
  -p /config.py \
  -o /frozen_inference_graph.uff
  1. Use jetsonStend similarly for caffe (ssd) models