[PYTHON] jetson nano setup

Jetson nano Procedure from purchase to object recognition (apple and orange) By Kawashima AI, Jetson, Linux, Python, Machine

sudo apt-get install git cmake Get git and cmake needed for compilation.

git clone https://github.com/dusty-nv/jetson-inference cd jetson-inference git submodule update --init

Clone the repository. The location should be your home directory.

Then go into the cloned directory and get all the dependent modules.


mkdir build cd build cmake ../

Create a build folder called build, enter the build directory, and use cmake to prepare for compilation.

Compiling Jetson nano sample code next

cd jetson-inference/build make sudo make install

cd jetson-inference/build make sudo make install Make sure you are in the jetson-inference / build directory and compile with make. Then use make install to complete the installation.

cd jetson-inference/build make sudo make instal


Let's move the etson nano sample code! next

cd jetson-inference/build/aarch64/bin Change to the directory above.

Some programs are already available here (by compiling and installing).

First, execute the following command for the first time (in Terminal)

./imagenet-console orange_0.jpg output_0.jpg

Take the photo orange_0.jpg as input and write the recognized result to output_0.jpg.

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