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updated setup_jetson_nano.md for Jetson JetPack 5.12 and DC5.0dev3 #53

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updated setup_jetson_nano.md for Jetson JetPack 5.12 and DC5.0dev3 #53

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84b15c4
updated setup_jetson_nano.md for Jetson JetPack 5.12 and DC5.0dev3
Heavy02011 Sep 9, 2023
a2fb110
Update setup_jetson_nano.md, kivy==2.1.0 fixed
Heavy02011 Sep 9, 2023
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32 changes: 21 additions & 11 deletions docs/guide/robot_sbc/setup_jetson_nano.md
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Expand Up @@ -171,7 +171,7 @@ Later on you can add the `CAMERA_TYPE="WEBCAM"` in myconfig.py.

Instructions for the latest code from the `main` branch. Note the
installation differs between the two available OSs. On Jetson you need to
install Jetpack 5.0.2.
install Jetpack 5.1.2.


### Installation on Jetson Xavier (or newer Jetson boards)
Expand All @@ -184,7 +184,7 @@ install Jetpack 5.0.2.

#### Step 1c: Flash Operating System

These instructions work for Jetpack 5.0.2.
These instructions work for Jetpack 5.1.2.

Please install the Jetpack image from [jetson-nx-developer-kit-sd-card-image.zip](https://developer.nvidia.com/jetson-nx-developer-kit-sd-card-image).

Expand Down Expand Up @@ -224,15 +224,15 @@ sudo systemctl disable nvgetty

#### Step 3c: Setup python environment

* Step 1: Install mamba-forge
* Step 1: Install virtualenv

Download and install Miniconda and install `mamba`.
Download and install `virtualenv`.

```bash
wget https://repo.anaconda.com/miniconda/Miniconda3-py38_23.1.0-1-Linux-aarch64.sh
chmod u+x ./Miniconda3-py38_23.1.0-1-Linux-aarch64.sh
bash ./Miniconda3-py38_23.1.0-1-Linux-aarch64.sh
conda install mamba -n base -c conda-forge
pip3 install virtualenv
python3 -m virtualenv -p python3 env --system-site-packages
echo "source env/bin/activate" >> ~/.bashrc
source ~/.bashrc
```

* Step 2: Download and install Donkey Car
Expand All @@ -245,12 +245,22 @@ cd projects
git clone https://github.com/autorope/donkeycar
cd donkeycar
git checkout main
mamba env create -f install/envs/jetson.yml
conda activate donkey
pip install -e .[nano]
pip3 install -e .[nano]
pip install -U albumentations --no-binary qudida,albumentations
sudo chmod 666 /dev/gpiochip*
```

* Step 2a: Download and install tensorflow
Follow the [NVIDIA instructions to install tensorflow](https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html)
```bash
pip3 install -U numpy grpcio absl-py py-cpuinfo psutil portpicker six mock requests gast h5py astor termcolor protobuf keras-applications keras-preprocessing wrapt google-pasta setuptools testresources
pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v512 tensorflow==2.12.0+nv23.06
```

* Step 2b: additional installs
```bash
pip install kivy==2.1.0 pillow pylint pytest pytest-cov codecov moviepy PrettyTable mypy pyyaml fastai
pip uninstall opencv-python-headless
```

* Step 3: Check the TF and OpenCV installation
Expand Down