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A C++ library that enables the use of Jetson's GPIOs

License: MIT License

Shell 0.14% C++ 96.17% Python 0.88% CMake 1.97% Dockerfile 0.83%

jetsongpio's Introduction

JetsonGPIO(C++)

JetsonGPIO(C++) is a C++ port of the NVIDIA's Jetson.GPIO Python library(https://github.com/NVIDIA/jetson-gpio).

Jetson TX1, TX2, AGX Xavier, and Nano development boards contain a 40 pin GPIO header, similar to the 40 pin header in the Raspberry Pi. These GPIOs can be controlled for digital input and output using this library. The library provides almost same APIs as the Jetson.GPIO Python library.

This document walks through what is contained in The Jetson GPIO library package, how to configure the system and compile the provided sample applications, and the library API.

Package Components

In addition to this document, the JetsonGPIO library package contains the following:

  1. The src and include subdirectories contain the C++ codes that implement all library functionality. The JetsonGPIO.h file in the include subdirectory is the only header file that should be included into an application and provides the needed APIs.
  2. The samples subdirectory contains sample applications to help in getting familiar with the library API and getting started on an application.
  3. The tests subdirectory contains test codes to test the library APIs and private utilities that are used to implement the library. Some test codes require specific setups. Check the required setups from the codes before you run them.

Installation

1. Clone the repository.

git clone https://github.com/pjueon/JetsonGPIO

2. Make build directory and change directory to it.

cd JetsonGPIO
mkdir build && cd build

3. Configure the cmake

cmake .. [OPTIONS]
Option Default value Description
-DCMAKE_INSTALL_PREFIX= /usr/local Installation path
-DBUILD_EXAMPLES= ON Build example codes in samples
-DJETSON_GPIO_POST_INSTALL= ON Run the post-install script after installation to set user permissions. If you set this OFF, you must run your application as root to use Jetson GPIO.

4. Build and Install the library

sudo make install

Linking the Library

Note: To build your code with JetsonGPIO, C++11 or higher is required.

Using CMake

Add this to your CMakeLists.txt

find_package(JetsonGPIO)

assuming you added a target called mytarget, then you can link it with:

target_link_libraries(mytarget JetsonGPIO::JetsonGPIO)

Without installation

If you don't want to install the library you can add it as an external project with CMake's FetchContent(cmake 3.11 or higher is required):

include(FetchContent)
FetchContent_Declare(
  JetsonGPIO 
  GIT_REPOSITORY https://github.com/pjueon/JetsonGPIO.git 
  GIT_TAG master
)
FetchContent_MakeAvailable(JetsonGPIO)

target_link_libraries(mytarget JetsonGPIO::JetsonGPIO)

The code will be automatically fetched at configure time and built alongside your project.

Note that with this method will not set user permissions, so you will need to set user permissions manually or run your code with root permissions.

To set user permissions, run scripts/post_install.sh script. Assuming you are in build directory:

sudo bash ../scripts/post_install.sh

Without CMake

  • The library name is JetsonGPIO.
  • The library header files are installed in /usr/local/include by default.
  • The library has dependency on pthread (the library uses std::thread)

The following example shows how to compile your code with the library:

g++ -o your_program_name [your_source_codes...] -lJetsonGPIO -lpthread

Compiling the sample codes

As mentioned in Installation, you can add cmake option -DBUILD_EXAMPLES=ON to build example codes in samples. Assuming you are in build directory:

cmake .. -DBUILD_EXAMPLES=ON
make examples 

You can find the compiled results in build/samples.

Library API

The library provides almost same APIs as the the NVIDIA's Jetson GPIO Python library. The following discusses the use of each API:

1. Include the library

To include the JetsonGPIO use:

#include <JetsonGPIO.h>

All public APIs are declared in namespace GPIO. If you want to make your code shorter, you can use:

using namespace GPIO; // optional

2. Pin numbering

The Jetson GPIO library provides four ways of numbering the I/O pins. The first two correspond to the modes provided by the RPi.GPIO library, i.e BOARD and BCM which refer to the pin number of the 40 pin GPIO header and the Broadcom SoC GPIO numbers respectively. The remaining two modes, CVM and TEGRA_SOC use strings instead of numbers which correspond to signal names on the CVM/CVB connector and the Tegra SoC respectively.

To specify which mode you are using (mandatory), use the following function call:

GPIO::setmode(GPIO::BOARD);
// or
GPIO::setmode(GPIO::BCM);
// or
GPIO::setmode(GPIO::CVM);
// or
GPIO::setmode(GPIO::TEGRA_SOC);

To check which mode has been set, you can call:

GPIO::NumberingModes mode = GPIO::getmode();

This function returns an instance of enum class GPIO::NumberingModes. The mode must be one of GPIO::BOARD, GPIO::BCM, GPIO::CVM, GPIO::TEGRA_SOC or GPIO::NumberingModes::None.

3. Warnings

It is possible that the GPIO you are trying to use is already being used external to the current application. In such a condition, the Jetson GPIO library will warn you if the GPIO being used is configured to anything but the default direction (input). It will also warn you if you try cleaning up before setting up the mode and channels. To disable warnings, call:

GPIO::setwarnings(false);

4. Set up a channel

The GPIO channel must be set up before use as input or output. To configure the channel as input, call:

// (where channel is based on the pin numbering mode discussed above)
GPIO::setup(channel, GPIO::IN); // channel must be int or std::string

To set up a channel as output, call:

GPIO::setup(channel, GPIO::OUT);

It is also possible to specify an initial value for the output channel:

GPIO::setup(channel, GPIO::OUT, GPIO::HIGH);

5. Input

To read the value of a channel, use:

int value = GPIO::input(channel);

This will return either GPIO::LOW(== 0) or GPIO::HIGH(== 1).

6. Output

To set the value of a pin configured as output, use:

GPIO::output(channel, state);

where state can be GPIO::LOW(== 0) or GPIO::HIGH(== 1).

7. Clean up

At the end of the program, it is good to clean up the channels so that all pins are set in their default state. To clean up all channels used, call:

GPIO::cleanup();

If you don't want to clean all channels, it is also possible to clean up individual channels:

GPIO::cleanup(chan1); // cleanup only chan1
GPIO::cleanup({chan1, chan2}); // cleanup only chan1 and chan2

8. Jetson Board Information and library version

To get information about the Jetson module, use/read:

std::string info = GPIO::JETSON_INFO;
// or
std::string info = GPIO::JETSON_INFO();

To get the model name of your Jetson device, use/read:

std::string model = GPIO::model;
// or
std::string model = GPIO::model();

To get information about the library version, use/read:

std::string version = GPIO::VERSION;

This provides a string with the X.Y.Z version format.

9. Interrupts

Aside from busy-polling, the library provides three additional ways of monitoring an input event:

The wait_for_edge() function

This function blocks the calling thread until the provided edge(s) is detected. The function can be called as follows:

GPIO::wait_for_edge(channel, GPIO::RISING);

The second parameter specifies the edge to be detected and can be GPIO::RISING, GPIO::FALLING or GPIO::BOTH. If you only want to limit the wait to a specified amount of time, a timeout can be optionally set:

// timeout is in milliseconds__
// debounce_time set to 10ms
GPIO::WaitResult result = GPIO::wait_for_edge(channel, GPIO::RISING, 10, 500);

The function returns a GPIO::WaitResult object that contains the channel name for which the edge was detected.

To check if the event was detected or a timeout occurred, you can use .is_event_detected() method of the returned object or just simply cast it to bool type. the returned object is implicitly convertible to bool and its value is equal to the return value of .is_event_detected():

// returns the channel name for which the edge was detected ("None" if a timeout occurred)
std::string eventDetectedChannel = result.channel();

if(result.is_event_detected()){ /*...*/ }
// or 
if(result){ /*...*/ } // is equal to if(result.is_event_detected())

The event_detected() function

This function can be used to periodically check if an event occurred since the last call. The function can be set up and called as follows:

// set rising edge detection on the channel
GPIO::add_event_detect(channel, GPIO::RISING);
run_other_code();
if(GPIO::event_detected(channel))
    do_something();

As before, you can detect events for GPIO::RISING, GPIO::FALLING or GPIO::BOTH.

A callback function run when an edge is detected

This feature can be used to run a second thread for callback functions. Hence, the callback function can be run concurrent to your main program in response to an edge. This feature can be used as follows:

// define callback function
void callback_fn(const std::string& channel) 
{
    std::cout << "Callback called from channel " << channel << std::endl;
}

// add rising edge detection
GPIO::add_event_detect(channel, GPIO::RISING, callback_fn);

Any object that satisfies the following requirements can be used as a callback function.

  • Callable with a const std::string& type argument (for the channel name) OR without any argument. The return type must be void.
    • Note: If the callback object is not only callable with a const std::string& type argument but also callable without any argument, the method with a const std::string& type argument will be used as a callback function.
  • Copy-constructible
  • Equality-comparable with same type (ex> func0 == func1)

Here is a user-defined type callback example:

// define callback object
class MyCallback
{
public:
    MyCallback(const std::string& name) : name(name) {}
    MyCallback(const MyCallback&) = default; // Copy-constructible

    void operator()(const std::string& channel) // Callable with one string type argument
    {
        std::cout << "A callback named " << name;
        std::cout << " called from channel " << channel << std::endl;
    }

    bool operator==(const MyCallback& other) const // Equality-comparable
    {
        return name == other.name;
    }

    bool operator!=(const MyCallback& other) const 
    {
        return !(*this == other);
    }
    
private:
    std::string name;
};

// create callback object
MyCallback my_callback("foo");
// add rising edge detection
GPIO::add_event_detect(channel, GPIO::RISING, my_callback);

More than one callback can also be added if required as follows:

// you can also use callbacks witout any argument
void callback_one() 
{
    std::cout << "First Callback" << std::endl;
}

void callback_two() 
{
    std::cout << "Second Callback" << std::endl;
}

GPIO::add_event_detect(channel, GPIO::RISING);
GPIO::add_event_callback(channel, callback_one);
GPIO::add_event_callback(channel, callback_two);

The two callbacks in this case are run sequentially, not concurrently since there is only one event thread running all callback functions.

In order to prevent multiple calls to the callback functions by collapsing multiple events in to a single one, a debounce time can be optionally set:

// bouncetime set in milliseconds
GPIO::add_event_detect(channel, GPIO::RISING, callback_fn, 200);

If one of the callbacks are no longer required it may then be removed:

GPIO::remove_event_callback(channel, callback_two);

Similarly, if the edge detection is no longer required it can be removed as follows:

GPIO::remove_event_detect(channel);

10. Check function of GPIO channels

This feature allows you to check the function of the provided GPIO channel:

GPIO::Directions direction = GPIO::gpio_function(channel);

The function returns either GPIO::IN or GPIO::OUT which are the instances of enum class GPIO::Directions.

11. PWM

See samples/simple_pwm.cpp for details on how to use PWM channels.

The JetsonGPIO library supports PWM only on pins with attached hardware PWM controllers. Unlike the RPi.GPIO library, the JetsonGPIO library does not implement Software emulated PWM. Jetson Nano supports 2 PWM channels, and Jetson AGX Xavier supports 3 PWM channels. Jetson TX1 and TX2 do not support any PWM channels.

The system pinmux must be configured to connect the hardware PWM controlller(s) to the relevant pins. If the pinmux is not configured, PWM signals will not reach the pins! The JetsonGPIO library does not dynamically modify the pinmux configuration to achieve this. Read the L4T documentation for details on how to configure the pinmux.

Using the library from a docker container

The following describes how to use the JetsonGPIO library from a docker container.

Preparing the docker image

Pulling from Docker hub

A pre-built image that contains JetsonGPIO is available on docker hub(pjueon/jetson-gpio).

docker pull pjueon/jetson-gpio

You can use it as a base image for your application.

Building from the source

You can also build the image from the source. docker/Dockerfile is the docker file that was used for the pre-built image on docker hub. You can modify it for your application.

The following command will build a docker image named testimg from docker/Dockerfile:

sudo docker image build -f docker/Dockerfile -t testimg .

Running the container

Basic options

You should map /sys/devices, /sys/class/gpio into the container to access to the GPIO pins.
So you need to add following options to docker container run command:

-v /sys/devices/:/sys/devices/ \
-v /sys/class/gpio:/sys/class/gpio

and if you want to use GPU from the container you also need to add following options:

--runtime=nvidia --gpus all

Running the container in privilleged mode

The library determines the jetson model by checking /proc/device-tree/compatible and /proc/device-tree/chosen by default. These paths only can be mapped into the container in privilleged mode.

The following example will run /bin/bash from the container in privilleged mode.

sudo docker container run -it --rm \
--runtime=nvidia --gpus all \
--privileged \
-v /proc/device-tree/compatible:/proc/device-tree/compatible \
-v /proc/device-tree/chosen:/proc/device-tree/chosen \
-v /sys/devices/:/sys/devices/ \
-v /sys/class/gpio:/sys/class/gpio \
pjueon/jetson-gpio /bin/bash

Running the container in non-privilleged mode

If you don't want to run the container in privilleged mode, you can directly provide your jetson model name to the library through the environment variable JETSON_MODEL_NAME:

# ex> -e JETSON_MODEL_NAME=JETSON_NANO
-e JETSON_MODEL_NAME=[PUT_YOUR_JETSON_MODEL_NAME_HERE]

You can get the proper value for this environment variable by running samples/jetson_model in privilleged mode:

sudo docker container run --rm \
--privileged \
-v /proc/device-tree/compatible:/proc/device-tree/compatible \
-v /proc/device-tree/chosen:/proc/device-tree/chosen \
-v /sys/devices/:/sys/devices/ \
-v /sys/class/gpio:/sys/class/gpio \
pjueon/jetson-gpio /gpio-cpp/samples/jetson_model

The following example will run /bin/bash from the container in non-privilleged mode.

sudo docker container run -it --rm \
--runtime=nvidia --gpus all \
-v /sys/devices/:/sys/devices/ \
-v /sys/class/gpio:/sys/class/gpio \
-e JETSON_MODEL_NAME=[PUT_YOUR_JETSON_MODEL_NAME_HERE] \  
pjueon/jetson-gpio /bin/bash

jetsongpio's People

Contributors

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