Skip to content

Latest commit

 

History

History
36 lines (27 loc) · 1.06 KB

INSTALL.md

File metadata and controls

36 lines (27 loc) · 1.06 KB
Raw

Installation

  1. Flash the Jetson TX2 using JetPack 3.2. Be sure to install

    • CUDA 9.0
    • OpenCV4Tegra
    • cuDNN
    • TensorRT 3.0

  2. Install TensorFlow on Jetson TX2.

    1. Download TensorFlow 1.5.0 / CUDA 9 / cuDNN 7 pip wheel from here.

    2. Install TensorFlow using pip

        sudo pip install tensorflow-1.5.0rc0-cp27-cp27mu-linux_aarch64.whl

  3. Install uff converter on Jetson TX2.

    1. Download TensorRT 3.0.4 for Ubuntu 16.04 and CUDA 9.0 tar package from https://developer.nvidia.com/nvidia-tensorrt-download.

    2. Extract archive

        tar -xzf TensorRT-3.0.4.Ubuntu-16.04.3.x86_64.cuda-9.0.cudnn7.0.tar.gz

    3. Install uff python package using pip

        sudo pip install TensorRT-3.0.4/uff/uff-0.2.0-py2.py3-none-any.whl

  4. Clone and build this project

    git clone --recursive https://github.com/NVIDIA-Jetson/tf_to_trt_image_classification.git
cd tf_to_trt_image_classification
mkdir build
cd build
cmake ..
make 
cd ..