ESP32-S3-Touch-LCD-4.3

https://www.waveshare.com/wiki/
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ESP32-S3-Touch-LCD-4.3 is a low-cost MCU development board featuring a 4.3-inch capacitive touch LCD...
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Raw
### Download Example Files

Source: https://www.waveshare.com/wiki/Pico-2CH-RS485

Commands to install 7zip and download the project example archive.

```bash
sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/9/94/Pico_2CH_RS485.7z
7z x Pico_2CH_RS485.7z -o./Pico_2CH_RS485
cd ~/Pico_2CH_RS485
cd c/build/
```

--------------------------------

### Download Example Code

Source: https://www.waveshare.com/wiki/Liquid_Level_Sensor

Commands to install p7zip and download the sensor example archive.

```bash
sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/a/a0/Liquid-Level-Sensor-code.7z
7z x Liquid-Level-Sensor-code.7z -o./Liquid-Level-Sensor-code
cd ~/Liquid-Level-Sensor-code
cd Pico/c/build/
```

--------------------------------

### Download Dust Sensor Examples

Source: https://www.waveshare.com/wiki/Dust_Sensor

Commands to install p7zip and download the example archive to the home directory.

```bash
sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/2/2a/Dust-Sensor-code.7z
7z x Dust-Sensor-code.7z -o./Dust-Sensor-code
cd ~/Dust-Sensor-code
cd Pico/c/build/
```

--------------------------------

### Download Example Code

Source: https://www.waveshare.com/wiki/Template%3ATilt_Sensor_Pico_Guide

Commands to install p7zip and download the example archive on a Raspberry Pi host.

```bash
sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/b/b6/Tilt-Sensor-code.7z
7z x Tilt-Sensor-code.7z -o./Tilt-Sensor-code
cd ~/Tilt-Sensor-code
cd Pico/c/build/
```

--------------------------------

### Setup Hello AI World Environment

Source: https://www.waveshare.com/wiki/JETSON_NANO_TX2_NX

Commands to install dependencies, clone the repository, and build the project.

```bash
sudo apt-get update
sudo apt-get install git cmake libpython3-dev python3-numpy
```

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

```bash
sudo mkdir build
cd build
sudo cmake ../
```

```bash
cd ~/jetson-inference/data/networks/
#If you need to download more algorithms, please refer to the method here, first obtain the download address of the model on github, and then use wget to add instructions to download. Download three models here for reference
wget https://github.com/dusty-nv/jetson-inference/releases/download/model-mirror-190618/facenet-120.tar.gz
wget https://github.com/dusty-nv/jetson-inference/releases/download/model-mirror-190618/GoogleNet.tar.gz
wget https://github.com/dusty-nv/jetson-inference/releases/download/model-mirror-190618/SSD-Mobilenet-v2.tar.gz
#The following command is to decompress the previously downloaded model, only after decompression can it be used
tar -zxvf facenet-120.tar.gz
tar -zxvf GoogleNet.tar.gz
tar -zxvf SSD-Mobilenet-v2.tar.gz
```

```bash
cd jetson-inference/build
sudo make
sudo make install
```

--------------------------------

### Run Web Control Example

Source: https://www.waveshare.com/wiki/2-CH_TRIAC_HAT

Commands to install the bottle framework and run the web control demo.

```bash
sudo apt-get install python-bottle
cd Web_python
sudo python main.py
```

--------------------------------

### Download Hall Sensor Examples

Source: https://www.waveshare.com/wiki/Hall_Sensor

Commands to install p7zip and download the example code archive from the Waveshare server.

```bash
sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/7/75/Hall-Sensor-code.7z
7z x Hall-Sensor-code.7z -o./Hall-Sensor-code
cd ~/Hall-Sensor-code
```

--------------------------------

### Install Nano Editor

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT-MANUAL

Example command to install the nano text editor using the apt package manager.

```bash
sudo apt install nano
```

--------------------------------

### Download and Extract Example Code

Source: https://www.waveshare.com/wiki/DHT11_Temperature-Humidity_Sensor

Commands to install 7zip and download the sensor example archive on a Raspberry Pi host.

```bash
sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/4/4a/Temperature-Humidity-Sensor-code.7z
7z x Temperature-Humidity-Sensor-code.7z -o./Temperature-Humidity-Sensor-code
cd ~/Temperature-Humidity-Sensor-code
cd Pico/c/build/
```

--------------------------------

### Download and Extract Demo Examples

Source: https://www.waveshare.com/wiki/A7670E_Cat-1_HAT

Commands to download the demo archive, install the extraction tool, and set permissions.

```bash
cd ~
wget https://files.waveshare.com/upload/f/f3/AT7600X_Cat_Hat_Demo.7z
sudo apt-get install p7zip-full
7z x AT7600X_Cat_Hat_Demo.7z   -r -o/home/pi
sudo chmod 777 -R /home/pi/AT7600X_Cat_Hat_Demo
```

--------------------------------

### Download and Install Dependencies

Source: https://www.waveshare.com/wiki/Template%3ATOF_Sensor_RPI_Use

Downloads the demo archive and installs necessary GPIO libraries.

```bash
sudo apt install gpiod libgpiod-dev
wget "https://files.waveshare.com/wiki/TOF-Laser-Range-Sensor-(C)/TOF_Laser_Range_Sensor_demo.zip"
unzip TOF_Laser_Range_Sensor_demo.zip
cd TOF_Laser_Range_Sensor_demo/
```

--------------------------------

### Install and Import PIL Library

Source: https://www.waveshare.com/wiki/Template%3AHardware/Software_setting_for_SPI_e-paper

Setup and import the Python Imaging Library for drawing operations.

```bash
sudo apt-get install python3-pil
```

```python
from PIL import Image,ImageDraw,ImageFont
```

--------------------------------

### Install gpiod Library

Source: https://www.waveshare.com/wiki/3.52inch_e-Paper_HAT_Manual

Install the gpiod library for GPIO management.

```bash
#Open the Raspberry Pi terminal and run the following commands:
sudo apt-get update
sudo apt install gpiod libgpiod-dev
```

--------------------------------

### Install lg Library

Source: https://www.waveshare.com/wiki/3.52inch_e-Paper_HAT_Manual

Download and install the lg library for GPIO control.

```bash
#Open the Raspberry Pi terminal and run the following commands:
wget https://github.com/joan2937/lg/archive/master.zip
unzip master.zip
cd lg-master
make
sudo make install
# For more information, please refer to the source code: https://github.com/gpiozero/lg
```

--------------------------------

### Install uhubctl Tool

Source: https://www.waveshare.com/wiki/PCIe_TO_USB_3.2_Gen1_HAT%2B

Install the uhubctl utility to manage USB power states.

```bash
sudo apt-get install uhubctl
```

--------------------------------

### Install Device Tree Tools

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT

Installing the device tree compiler and text editor.

```bash
sudo apt-get install -y device-tree-compiler
sudo apt-get install nano
```

--------------------------------

### Build C Examples

Source: https://www.waveshare.com/wiki/Pico-2CH-RS485

Commands to navigate to the C directory, configure the SDK path, and build the project.

```bash
cd ~/Pico_2CH_RS485/c/
```

```bash
cd build
export PICO_SDK_PATH=../../pico-sdk
```

```bash
cmake ..
```

```bash
make -j9
```

```bash
cp main.uf2 /media/pi/RPI-RP2/
```

--------------------------------

### Build and run C examples

Source: https://www.waveshare.com/wiki/Pico-UPS-A

Commands to configure the build environment for Pico or Pico2, compile the code, and flash the resulting UF2 file to the device.

```bash
cd ~/pico/Pico-UPS-A/c/build/

#Pico
cmake -DPICO_BOARD=pico -DPICO_PLATFORM=rp2040 ..
#Pico2
cmake -DPICO_BOARD=pico2 -DPICO_PLATFORM=rp2350 ..

make
sudo mount /dev/sda1 /mnt && sudo cp Pico_UPS.uf2 /mnt && sudo sync && sudo umount /mnt && sleep 2 && sudo minicom -b 115200 -o -D /dev/ttyACM0
```

--------------------------------

### Build C Examples

Source: https://www.waveshare.com/wiki/Dust_Sensor

Commands to navigate to the build directory, set the SDK path, generate the Makefile, and compile the project.

```bash
cd ~/Dust-Sensor-code/Pico/c/build
```

```bash
export PICO_SDK_PATH=../../pico-sdk
```

```bash
cmake ..
make -j9
```

--------------------------------

### Configure C Example Files

Source: https://www.waveshare.com/wiki/Template%3AHardware/Software_setting_for_SPI_e-paper

Commands to navigate to and edit the main C configuration file for selecting the display model.

```bash
cd c
sudo nano examples/main.c
```

--------------------------------

### Download and Extract Demo Examples

Source: https://www.waveshare.com/wiki/Template%3ALCD_Module_RPi

Download the Waveshare LCD module example archive and navigate to the Raspberry Pi directory.

```bash
sudo apt-get install unzip -y
sudo wget https://www.waveshare.net/w/upload/8/8d/LCD_Module_RPI_code.zip
sudo unzip ./LCD_Module_RPI_code.zip -d ./LCD_Module_RPI_code/
cd LCD_Module_RPI_code/RaspberryPi/
```

--------------------------------

### Download DHT22 Example Code

Source: https://www.waveshare.com/wiki/DHT22_Temperature-Humidity_Sensor

Commands to install p7zip and download the example project archive on a Raspberry Pi host.

```bash
sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/5/57/DHT22-Temperature-Humidity-Sensor-code.7z
7z x DHT22-Temperature-Humidity-Sensor-code.7z -o./DHT22-Temperature-Humidity-Sensor-code
cd ~/DHT22-Temperature-Humidity-Sensor-code
cd Pico/c/build/
```

--------------------------------

### Launch jtop

Source: https://www.waveshare.com/wiki/JETSON_NANO_TX2_NX

Starts the jtop monitoring interface after installation and reboot.

```bash
jtop
```

--------------------------------

### Verify I2C Tools Output

Source: https://www.waveshare.com/wiki/JETSON_NANO_TX2_NX

Example output indicating a successful installation.

```text
i2c-tools:
Installed: 4.0-2
Candidate: 4.0-2
Version list:
***4.0-2500
500 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 Packages
100 /var/lib/dpkg/status
```

--------------------------------

### Download and run sample program

Source: https://www.waveshare.com/wiki/RGB_LED_HAT_%28B%29

Download, extract, and execute the provided sample code.

```bash
wget https://files.waveshare.com/upload/b/b2/RGB_LED_HAT.zip
unzip RGB_LED_HAT.zip
sudo chmod 777 -R RGB_LED_HAT
cd RGB_LED_HAT
sudo python3 ws2812.py
```

--------------------------------

### Install and Run MJPG-streamer

Source: https://www.waveshare.com/wiki/AlphaBot2

Downloads, builds, and starts the MJPG-streamer service for video monitoring.

```bash
cd /home/pi/AlphaBot2-Demo/RaspberryPi/AlphaBot2/
sudo apt-get update
sudo apt-get install cmake libjpeg9-dev
git clone https://github.com/jacksonliam/mjpg-streamer
cd mjpg-streamer/mjpg-streamer-experimental/
sudo make clean all
sudo ./start.sh
```

--------------------------------

### Prepare C Project Build

Source: https://www.waveshare.com/wiki/Pico-ePaper-5.65

Navigates to the C directory, creates a build folder, and sets the SDK path.

```bash
cd ~/Pico_ePaper_Code/c
mkdir build
cd build
export PICO_SDK_PATH=../../pico-sdk
```

--------------------------------

### Create VNC Autostart Directory and File

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT-MANUAL

Commands to create the autostart directory and the vino-server desktop entry file.

```bash
 mkdir -p .config/autostart
sudo vim ~/.config/autostart/vino-server.desktop
```

--------------------------------

### Download MQ-7 Gas Sensor Examples

Source: https://www.waveshare.com/wiki/MQ-7_Gas_Sensor

Commands to install p7zip and download the sensor demo code archive to the Raspberry Pi.

```bash
sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/4/48/MQ-7-Gas-Sensor-code.7z
7z x MQ-7-Gas-Sensor-code.7z -o./MQ-7-Gas-Sensor-code
cd ~/MQ-7-Gas-Sensor-code
cd Pico/c/build/
```

--------------------------------

### Download Jetson Nano Examples

Source: https://www.waveshare.com/wiki/Servo_Driver_HAT

Commands to download and prepare the example archive for Jetson Nano.

```bash
sudo apt-get install p7zip
wget https://www.waveshare.com/w/upload/6/6c/Servo_Driver_HAT.7z
7zr x Servo_Driver_HAT.7z -r -o./Servo_Driver_HAT
sudo chmod 777 -R Servo_Driver_HAT
cd Servo_Driver_HAT/Jetson\ Nano/
```

--------------------------------

### Compile C Examples

Source: https://www.waveshare.com/wiki/Liquid_Level_Sensor

Commands to navigate to the C directory, configure the SDK path, and generate the Makefile.

```bash
cd ~/Liquid-Level-Sensor-code/Pico/c/
```

```bash
cd build
export PICO_SDK_PATH=../../pico-sdk
```

```bash
cmake ..
```

--------------------------------

### Configure Trixie and Bookworm System

Source: https://www.waveshare.com/wiki/Template%3AZero_LCD_for_rpiuse

Setup steps for Lite versions of Trixie and Bookworm, including desktop environment installation and auto-start configuration.

```bash
sudo apt update && sudo apt upgrade && sudo apt full-upgrade -y
```

```bash
sudo apt-get install --no-install-recommends xserver-xorg -y
sudo apt-get install --no-install-recommends xinit -y
```

```bash
sudo apt install lightdm -y
```

```bash
sudo apt install raspberrypi-ui-mods -y
```

```bash
sudo apt install chromium-browser -y
```

```bash
sudo apt-get install unzip -y
sudo apt-get install cmake -y
sudo wget https://files.waveshare.com/wiki/Zero-LCD-HAT-A/Zero_LCD_HAT_A_fbcp.zip
sudo unzip ./Zero_LCD_HAT_A_fbcp.zip
sudo cp Zero_LCD_HAT_A.dtbo /boot/overlays/
```

```bash
sudo nano /boot/firmware/config.txt
```

```bash
dtparam=spi=on
dtoverlay=spi1-1cs
dtoverlay=Zero_LCD_HAT_A
hdmi_force_hotplug=1
max_usb_current=1
hdmi_group=2
hdmi_mode=87
hdmi_cvt 320 320 60 6 0 0 0
hdmi_drive=2
```

```bash
sudo nano ~/.bash_profile
```

```bash
export FRAMEBUFFER=/dev/fb1
startx  2> /tmp/xorg_errors
```

```bash
sudo raspi-config nonint do_boot_behaviour B2
sudo raspi-config nonint do_wayland W1
sudo reboot
```

--------------------------------

### Run Python Demo

Source: https://www.waveshare.com/wiki/0.96inch_RGB_OLED_Module

Navigate to the Python example directory and execute the script for the specific OLED model.

```bash
cd python/example
```

```bash
# python2
sudo python OLED_1in3_c_test.py
# python3
sudo python3 OLED_1in3_c_test.py
```

```bash
# python2
sudo python OLED_1in5_rgb_test.py
# python3
sudo python3 OLED_1in5_rgb_test.py
```

```bash
#0.49inch OLED Module 
sudo python OLED_0in49_test.py 
------------------------------------
#0.91inch OLED Module 
sudo python OLED_0in91_test.py 
------------------------------------
#0.95inch RGB OLED (A)/(B)
sudo python OLED_0in95_rgb_test.py 
------------------------------------
#0.96inch OLED (A)/(B)
sudo python OLED_0in96_test.py 
------------------------------------
#0.96inch OLED Module (C)/(D)/(E)
sudo python OLED_0in96_test.py 
------------------------------------
#0.96inch RGB OLED Module
sudo python OLED_0in96_rgb_test.py
------------------------------------
#1.27inch RGB OLED Module
sudo python OLED_1in27_rgb_test.py
------------------------------------
#1.3inch OLED (A)/(B)
sudo python OLED_1in3_test.py 
------------------------------------
#1.3inch OLED Module (C)
sudo python OLED_1in3_c_test.py 
------------------------------------
#1.32inch OLED Module
sudo python OLED_1in32_test.py 
------------------------------------
#1.5inch OLED Module
sudo python OLED_1in5_test.py 
------------------------------------
#1.5inch OLED Module (B)
sudo python OLED_1in5_b_test.py 
------------------------------------
#1.5inch RGB OLED Module
sudo python OLED_1in5_rgb_test.py
------------------------------------
#1.51inch Transparent OLED
sudo python OLED_1in51_test.py
------------------------------------
#1.54inch OLED Module
sudo python OLED_1in54_test.py
------------------------------------
#2.42inch OLED Module
sudo python OLED_2in42_test.py
```

--------------------------------

### Install PyTorch and Torchvision

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT

Commands to install PyTorch and Torchvision dependencies and verify the installation.

```bash
sudo apt-get install libjpeg-dev zlib1g-dev libpython3-dev libavcodec-dev libavformat-dev libswscale-dev libopenblas-base libopenmpi-dev
```

```bash
sudo pip3 install torch-1.9.0-cp36-cp36m-linux_aarch64.whl
```

```python
python3
import torch
x = torch.rand(5, 3)
print(x)
```

```python
import torch
print(torch.__version__)
```

```bash
git clone --branch v0.10.0 https://github.com/pytorch/vision torchvision
cd torchvision
export BUILD_VERSION=0.10.0
sudo python3 setup.py install
```

```python
python3
import torchvision
```

```bash
sudo pip3 uninstall pillow
sudo pip3 install pillow
```

```python
import torchvision
print(torchvision.__version__)
```

--------------------------------

### Run Python Demo

Source: https://www.waveshare.com/wiki/4.26inch_e-Paper_HAT_Manual

Navigate to the examples directory and execute the test script.

```bash
# Make sure you are in e-Paper/RaspberryPi_JetsonNano/
cd python/examples/
python3 epd_4in26_test.py
```

--------------------------------

### Install and Verify CUDA

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT

Commands to install the NVIDIA Jetpack and verify the CUDA installation.

```bash
sudo apt update
sudo apt install nvidia-jetpack
```

```bash
nvcc -V
cat /usr/local/cuda/version.txt
```

```bash
sudo vim .bashrc
Add at the end of the file:
export PATH=/usr/local/cuda-10.2/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export CUDA_HOME=$CUDA_HOME:/usr/local/cuda-10.2
```

```bash
source .bashrc
```

```bash
nvcc -V
```

--------------------------------

### Install JetPack SDK Components Individually

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT

Alternative installation method for systems with limited disk space, avoiding the full meta-package installation.

```bash
sudo apt update
apt depends nvidia-jetpack | awk '{print $2}' | xargs -I {} sudo apt install -y {}
```

--------------------------------

### Compile C Examples for Pico

Source: https://www.waveshare.com/wiki/Hall_Sensor

Commands to navigate to the C example directory, configure the SDK path, generate the Makefile, and compile the project.

```bash
cd ~/Hall-Sensor-code/Pico/c/
```

```bash
cd build
export PICO_SDK_PATH=../../pico-sdk
```

```bash
cmake ..
```

```bash
make -j9
```

--------------------------------

### Install Torchvision

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT-MANUAL

Clone and install Torchvision from source.

```bash
git clone --branch v0.10.0 https://github.com/pytorch/vision torchvision
cd torchvision
export BUILD_VERSION=0.10.0
sudo python3 setup.py install
```

--------------------------------

### Run MQTT Python Example

Source: https://www.waveshare.com/wiki/SIM7070G_Cat-M/NB-IoT/GPRS_HAT

Commands to navigate to the MQTT example directory and execute the Python script.

```bash
cd ~/Documents/SIM7080G_Cat_M_NB_IoT_HAT_Code/RaspberryPi/python/mqtt/
sudo python mqtt.py
```

--------------------------------

### Install PyTorch

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT-MANUAL

Install the PyTorch wheel file.

```bash
sudo pip3 install torch-1.9.0-cp36-cp36m-linux_aarch64.whl
```

--------------------------------

### Install TensorFlow

Source: https://www.waveshare.com/wiki/JETSON_NANO_TX2_NX

Online and offline installation methods for TensorFlow.

```bash
sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v46 tensorflow
```

```bash
pip3 install tensorflow-2.5.0+nv21.8-cp36-cp36m-linux_aarch64.whl
```

--------------------------------

### Set Up Automatic Startup for Right-click Emulation

Source: https://www.waveshare.com/wiki/15.6inch_FHD_Monitor

Create a desktop entry to launch the right-click emulation service automatically on login.

```bash
sudo mkdir ~/.config/autostart
sudo nano ~/.config/autostart/right_click.desktop
```

```ini
[Desktop Entry]
Version=1.0
Type=Application
Name=evdev-rce
GenericName=Enable long-press-to-right-click gesture
Exec=env LONG_CLICK_INTERVAL=1000 LONG_CLICK_FUZZ=200  /usr/local/bin/evdev-rce
Terminal=true
StartupNotify=false
```

--------------------------------

### Install Device Tree Compiler

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT

Command to install the dtc tool.

```bash
sudo apt-get install -y device-tree-compiler
```

--------------------------------

### Download and Run Camera Demo

Source: https://www.waveshare.com/wiki/IMX335_5MP_USB_Camera_%28C%29

Commands to download, extract, and execute the provided USB camera example script.

```bash
wget https://files.waveshare.com/wiki/common/Usb_camera_examples.zip
unzip Usb_camera_examples.zip
cd Usb_camera_examples
sudo python3 Usb_camera_examples.py
```

--------------------------------

### Setup X11 configuration directory

Source: https://www.waveshare.com/wiki/4inch_DPI_LCD_%28C%29

Create the xorg.conf.d directory if it does not exist.

```bash
sudo mkdir /etc/X11/xorg.conf.d
```

--------------------------------

### Verify Torchvision Installation

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT-MANUAL

Verify Torchvision installation and check version.

```python
python3
import torchvision
```

```python
import torchvision
print(torchvision.__version__)
```

--------------------------------

### Verify PyTorch Installation

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT-MANUAL

Verify PyTorch installation and check version.

```python
python3
import torch
x = torch.rand(5, 3)
print(x)
```

```python
import torch
print(torch.__version__)
```

--------------------------------

### Create VNC Autostart Configuration

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT

Commands to prepare the autostart directory and file for the VNC server.

```bash
mkdir -p .config/autostart
sudo vim ~/.config/autostart/vino-server.desktop
```

--------------------------------

### Install PyTorch Dependencies

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT-MANUAL

Install system libraries required for PyTorch.

```bash
sudo apt-get install libjpeg-dev zlib1g-dev libpython3-dev libavcodec-dev libavformat-dev libswscale-dev libopenblas-base libopenmpi-dev
```

--------------------------------

### Verify TensorFlow Installation

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT-MANUAL

Check if TensorFlow is installed and view its version.

```python
python3
import tensorflow as tf
```

```python
tf.__version__
```

--------------------------------

### Install TensorFlow

Source: https://www.waveshare.com/wiki/JETSON-NANO-DEV-KIT-MANUAL

Install TensorFlow using the NVIDIA redistributable index.

```bash
sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v46 tensorflow
```

--------------------------------

### Initialize Camera Web Server

Source: https://www.waveshare.com/wiki/ESP32-S3-Touch-LCD-2

Starts the HTTP streaming service and outputs the device IP address to the serial monitor.

```C
startCameraServer();

Serial.print("Camera Ready! Use 'http://");
Serial.print(WiFi.localIP());
Serial.println("' to connect");
```

--------------------------------

### Install Python Dependencies

Source: https://www.waveshare.com/wiki/3.52inch_e-Paper_HAT_Manual

Install required Python libraries for the demo.

```bash
sudo apt-get update
sudo apt-get install python3-pip
sudo apt-get install python3-pil
sudo apt-get install python3-numpy
sudo pip3 install spidev
```

```bash
sudo apt-get update
sudo apt-get install python-pip
sudo apt-get install python-pil
sudo apt-get install python-numpy
sudo pip install spidev
```

```bash
sudo apt-get update
# python3
sudo apt install python3-gpiozero
# python2
sudo apt install python-gpiozero
```

--------------------------------

### Navigate Python Examples

Source: https://www.waveshare.com/wiki/Template%3AHardware/Software_setting_for_SPI_e-paper

Commands to enter the Python examples directory and list the available files.

```bash
cd python/examples
ls -al 
```

--------------------------------

### Install and Open rc.local

Source: https://www.waveshare.com/wiki/AlphaBot2

Commands to install the nano text editor and open the rc.local file for boot configuration.

```bash
sudo nano /etc/rc.local
#There is no nano editor, enter the following command to download
sudo apt-get install nano
```

--------------------------------

### Install Minicom

Source: https://www.waveshare.com/wiki/4G/5G_HAT_Raspberry_Pi_OpenWrt_Tutorial

Installs the minicom serial communication program for debugging.

```bash
opkg update
opkg install minicom
```

--------------------------------

### Download and Prepare Demo on Jetson Nano

Source: https://www.waveshare.com/wiki/RPi_Relay_Board_%28B%29

Install p7zip, download the demo archive, and set directory permissions.

```bash
sudo apt-get install p7zip
wget https://files.waveshare.com/upload/c/c2/RPi_Relay_Board_B.7z
7zr x RPi_Relay_Board_B.7z -r -o./RPi_Relay_Board_B
sudo chmod 777 -R RPi_Relay_Board_B
cd RPi_Relay_Board_B/JetsonNano/
```

--------------------------------

### Run TCP Example

Source: https://www.waveshare.com/wiki/A7670E_Cat-1_HAT

Execute the TCP communication example script.

```bash
sudo python TCP.py
```

--------------------------------

### Install and Run Raspberry Pi Demo

Source: https://www.waveshare.com/wiki/Current/Power_Monitor_HAT

Download, extract, and execute the Python demo script for the monitor HAT.

```bash
sudo apt-get install p7zip
wget https://files.waveshare.com/upload/6/69/Current-Power_Monitor_HAT_Code.7z
7zr x Current-Power_Monitor_HAT_Code.7z -r -o./Current-Power_Monitor_HAT
cd Current-Power_Monitor_HAT/RaspberryPi
python3 ina219.py
```

--------------------------------

### Install Git

Source: https://www.waveshare.com/wiki/Template%3AHardware/Software_setting_for_SPI_e-paper

Install the git version control system if not present on the system.

```bash
sudo apt-get install git -y
```

--------------------------------

### Download and Prepare Drivers

Source: https://www.waveshare.com/wiki/Template%3A1in54-LCD-Module-RaspberryPi-Guides

Install dependencies and download the Waveshare FBCP driver repository.

```bash
sudo apt-get install cmake -y
cd ~
wget https://files.waveshare.com/upload/1/18/Waveshare_fbcp.zip
unzip Waveshare_fbcp.zip
cd Waveshare_fbcp/
sudo chmod +x ./shell/*
```
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