• DiagnoseNET

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    Getting Started

    Installation

    DiagnoseNET is building on Ubuntu 16.04, with CUDA 8.0 support, cuDNN v6 for Python 3.6.

    The main dependencies install:

    pip3 install numpy==1.15.4, scipy==1.1.0, pandas==0.23.4, scikit-learn==0.20.1, psutil==5.6.3

    pip3 install tensorflow-gpu==1.3.0

    To install the current release, clone it including submodules:

    git clone --recurse-submodules https://github.com/IADBproject/diagnosenet.git

    Buildind a Cluster of Jetson TK1 or TX2

    In this section you’ll find a tutorial to learn more to use a DiagnoseNET framework and a good practice guides for building, installing and evaluating a cluster of embedded computation platforms.