GX series camera appnotes 4 jetson
1 overview
The GX series cameras are designed for embedded AI applications, featuring outstanding ISP performance, multiple working modes, a wealth of functional options, and reliable stability design. They use the MIPI CSI-2 interface and are particularly suitable for embedded computing platforms.
This article introduces how to use GX series cameras on the NVIDIA Jetson platform.
1.1 Supported camera modules
| series | model | status |
|---|---|---|
| GX Series | GX-MIPI-IMX662 | complete |
1.2 Supported Jetson Board
| Jetson model | status |
|---|---|
| XAVIER NX | complete |
| Orin NX | complete |
| Orin Nano | complete |
1.3 Supported L4T versions
- Jetpack5.1.4,L4T version r35.6
- Jetpack6.2.1,L4T version r36.4.4
1.3.1 How to check the current L4T version
On the Jetson board, check the current L4T version and try to replace it with the same version.
cat /etc/nv_tegra_release
As shown:
# R32 (release), REVISION: 7.1......
This indicates that the current L4T version is 32.7.1, and the corresponding Jetpack version is Jetpack 32.6.1.
2 Hardware preparation and installation
The GX series cameras require a adapter board to be connected to the Jetson platform. The supported conditions are as shown in the table below:
| Camera model | Jetson model | FFC line | Number of cameras | Additional power supply |
|---|---|---|---|---|
| GX Series | XAVIER NX | 15-pin to 22-pin face-to-face FFC conversion connector | 2 | 5V DC (must be provided) |
| Orin Nano
Orin NX |
22-pin oblique FFC | 2 | 5V DC (must be provided) |
2.1 GX camera connected to Xavier NX
TBD
2.2 The GX camera is connected to Orin Nano or Orin NX.
TBD
3 Update the Jetson system
This section describes how to update the L4T system of Jetson to support the GX camera module. For the method of operating system update, please refer to the update instructions for Jetson operating system.
In particular, if you need the external trigger function, you need to apply a patch to the original kernel of Jetson - veye_mv_l4t_<version>.patch.
This patch has two functions:
- Added support for two data formats, Y10 and Y12, for black-and-white cameras.
- Added support for the trigger mode.
4 Support for the Trigger mode
The default driver of the Jetson system only supports video streaming mode. In its VI driver, the data reception function has a timeout mechanism. We have added a configurable option named "vi_time_out_disable" which allows for dynamically enabling or disabling this timeout mechanism.
For specific applications, please refer to the following application examples.
5 System status monitoring
After completing the system update, restart the Jetson motherboard.
During the startup process of the Jetson system, it will check whether there are any cameras on all i2c buses. If there are, it will create a /dev/videoX device node.
Execute the following commands on the Jetson board to check if the camera is properly connected.
dmesg | grep gxcam
It can be seen that during the Linux startup process, the camera model and version number that were probed are as follows:
For example, the following prompt indicates that a GX-MIPI-IMX662 camera has been detected on the i2c-9 bus.
gxcam 9-003b: camera is: GX-MIPI-IMX662
6 Detect the status and configure the environment variables
Here, we have provided two scripts that can automatically retrieve some information about the camera.
6.1 probe_camera_info-jetson.sh
This script is used to detect the connected and successfully registered camera devices, and retrieve the underlying information such as the media device nodes, video device nodes, sub-device nodes, I²C bus and device names corresponding to the devices.
After execution, an "auto_camera_index.json" file will be generated in the current directory, and the retrieved information will be recorded in this file.
Here is an example:
$ ./probe_camera_info-jetson.sh
cat auto_camera_index.json
[
{"i2c_bus": "9", "video_node": "/dev/video0"}
]
{}Inside is the information of the camera. If the motherboard supports multiple camera modules, then multiple sets of {} will contain the content.
The explanation of the camera information is as follows:
| antonomasia | name | effect | Where to use |
|---|---|---|---|
| video_node | Video capture device node | Typical V4L2 video device | v4l2-ctl or the programs developed by the customers are used to obtain the images. |
| i2c_bus | I²C bus number | The I²C bus number indicating the device connection | The underlying communication channel for configuring the camera parameters, the gx_mipi_i2c.sh script uses |
The media device nodes, video device nodes, sub-device nodes, I²C bus and device names used in the following text can all be replaced with the information in the JSON file obtained from this detection script.
The camera module is mapped to the /dev/videoX device node in the Jetson system.
During the startup process of the operating system, the cameras are probed in the order of the i2c bus from small to large. The X value starts from 0 and increments in the logical order of the probe.
For example, if only one camera is connected, regardless of where the hardware is connected, X will be 0. If five cameras are connected, then according to the i2c bus from smallest to largest, X will be [0-4].
In the v4l2-ctl command, use -d /dev/videoX to access different cameras.
In GStreamer, the v4l2src can access different cameras by specifying the device as /dev/videoX.
6.2 gx_probe.sh
By using the gx_probe.sh script, the I²C bus number corresponding to a certain camera, the camera model, width, height, frame rate, etc. can be configured into the environment variables.
In this way, it will facilitate the subsequent use of the media-ctl configuration format, making it easier to operate.
The usage method is:
$ source ./gx_probe.sh i2c_bus
A typical output is as follows:
$ source ./gx_probe.sh 9
Found veye_gxcam camera on i2c-9.
Setenv I2C_BUS = 9
Setenv CAMERAMODEL = GX-MIPI-IMX662
Setenv FPS = 60
Setenv WIDTH = 1920
Setenv HEIGHT = 1080
You can verify the output result of the environment variable by using the command "echo $CAMERAMODEL". Note that this environment variable is only valid for the current session.
7 Real-time preview
7.1 veye_viewer
veye_viewer是一个开源的,基于QT5的客户端软件。
代码以及使用请参考:https://github.com/veyeimaging/veye_viewer。
国内用户可访问gitee仓库。
7.2 使用qv4l2预览画面
首先安装qv4l2
sudo apt install qv4l2
1. 在命令行中输入qv4l2以启动 V4L2 播放器。
2. 点击 ▶(播放)按钮以调出打开的媒体窗口。
8 Gstreamer Usage
要安装最新的加速版 gstreamer 插件和应用程序,请运行以下命令:
sudo apt-get update
sudo apt-get install nvidia-l4t-gstreamer
sudo ldconfig
rm -rf .cache/gstreamer-1.0/
export DISPLAY=:0
- 视频预览1080p HD
gst-launch-1.0 nvv4l2camerasrc device=/dev/video0 ! "video/x-raw(memory:NVMM),format=(string)UYVY, width=(int)1920, height=(int)1080" ! nvvidconv ! "video/x-raw(memory:NVMM),format=(string)I420" ! nv3dsink sync=false
gst-launch-1.0 nvv4l2camerasrc device=/dev/video0 ! "video/x-raw(memory:NVMM),format=(string)UYVY, width=(int)1920, height=(int)1080" ! nvvidconv ! "video/x-raw(memory:NVMM),format=(string)NV12" ! nv3dsink sync=false
- 视频预览1080p HD(using xvimagesink sink if supported)
export DISPLAY=:0
gst-launch-1.0 -e v4l2src io-mode=4 device=/dev/video0 do-timestamp=true ! 'video/x-raw, width=1920, height=1080, framerate=30/1, format=UYVY' ! xvimagesink sync=false
- Gstreamer 嵌入到 OpenCV
I think maybe OpenCV do not support I420 data format input,so you should convert it to BGR format.
gst-launch-1.0 nvv4l2camerasrc ! video/x-raw(memory:NVMM), format=(string)UYVY, width=(int)1920, height=(int)1080 ! nvvidconv ! video/x-raw(memory:NVMM), format=(string)I420 ! nvvidconv ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink
- 视频录像1080p HD
gst-launch-1.0 nvv4l2camerasrc num-buffers=300 ! "video/x-raw(memory:NVMM),format=(string)UYVY, width=(int)1920, height=(int)1080" ! nvvidconv ! "video/x-raw(memory:NVMM),format=(string)NV12" ! nvv4l2h264enc control-rate=1 bitrate=10000000 ! h264parse ! qtmux ! filesink location=filename.mp4 -e
- 录像回放
gst-launch-1.0 filesrc location=filename.mp4 ! qtdemux ! queue ! h264parse ! nvv4l2decoder ! nv3dsink -e
- 抓拍图片
gst-launch-1.0 v4l2src num-buffers=1 ! "video/x-raw,format=(string)UYVY, width=(int)1920, height=(int)1080" ! nvvidconv ! "video/x-raw(memory:NVMM),format=(string)I420" ! nvjpegenc ! filesink location=jpgname.jpg
9 yavta(仅支持流模式)
9.1 yavta安装
git clone https://github.com/veyeimaging/yavta.git
cd yavta;make
国内用户可访问gitee仓库。
9.2 设置图像格式
v4l2-ctl --set-fmt-video=width=$WIDTH,height=$HEIGHT,pixelformat=UYVY
9.3 保存图片到文件
9.3.1 通常情况下
此处的通常情况,指的是WIDTH是256的整数倍。
- UYVY格式
以XAVIER平台为例
./yavta -c1 -F"uyvy-${WIDTH}x${HEIGHT}.yuv" --skip 0 -f UYVY -s "${WIDTH}x${HEIGHT}" /dev/video0
9.3.2 GX-MIPI-IMX662
./yavta -c1 -Fuyvy-1920x1080.yuv --skip 0 -f UYVY -s 1920x1080 /dev/video0
10 Jetson multimedia-api samples
Jetson平台上提供了Jetson Linux API 供开发者使用。具体jetson_multimedia_api包的安装请参考nVidia官方文档。
对于GX系列相机,已经在相机内集成了ISP功能,因此不能使用libargus获取数据,而可以直接使用使用标准V4L2接口从/dev/videoX设备文件获取数据。
安装 Jetson 系统后,可进入多媒体 API 示例目录,自行编译并运行以下命令以预览摄像头视频:
cd /usr/src/jetson_multimedia_api/samples/12_v4l2_camera_cuda
make
./v4l2_camera_cuda -d /dev/video0 -s 1920x1080 -f UYVY
该命令将使用 /dev/video0 设备,以 1920×1080 分辨率和 UYVY 格式进行实时视频预览。
11 v4l2-ctl 应用范例
11.1 安装v4l2-utils
sudo apt-get install v4l-utils
11.2 使用v4l2-ctl配置参数
11.2.1 列出相机支持的数据格式
v4l2-ctl --list-formats-ext
下面是在XAVIER系统下,GX-MIPI-IMX662的例子:
ioctl: VIDIOC_ENUM_FMT
Type: Video Capture
[0]: 'UYVY' (UYVY 4:2:2)
Size: Discrete 1920x1080
Interval: Discrete 0.017s (60.000 fps)
[1]: 'YUYV' (YUYV 4:2:2)
[2]: 'NV16' (Y/CbCr 4:2:2)
Size: Discrete 1920x1080
Interval: Discrete 0.017s (60.000 fps)
- 帧率统计
v4l2-ctl --set-fmt-video=width=1920,height=1080,pixelformat=UYVY --stream-mmap --stream-count=-1 --stream-to=/dev/null
- 保存图片到文件
v4l2-ctl --set-fmt-video=width=1920,height=1080,pixelformat=UYVY --stream-mmap --stream-count=1 --stream-to=uyvy-1920x1080.yuv
11.2.2 列出驱动中实现的相机的可配置参数
v4l2-ctl -L
User Controls
work_mode 0x00981a01 (int) : min=0 max=4 step=1 default=0 value=0 flags=volatile, execute-on-write
trigger_src 0x00981a02 (int) : min=0 max=1 step=1 default=1 value=1 flags=volatile, execute-on-write
soft_trgone 0x00981a03 (button) : flags=write-only, execute-on-write
sync_role 0x00981a04 (int) : min=0 max=1 step=1 default=0 value=0 flags=volatile, execute-on-write
frame_rate 0x00981a05 (int) : min=0 max=60 step=1 default=60 value=60 flags=volatile, execute-on-write
可以使用下面的方法设置和获取参数。
v4l2-ctl --set-ctrl [ctrl_type]=[val]
v4l2-ctl --get-ctrl [ctrl_type]
以上所有功能,均可使用gx_mipi_i2c.sh实现。
需要指出的是,以上参数在开始取图的状态均不可修改。下面进行逐个说明:
11.2.3 配置触发模式
v4l2-ctl --set-ctrl work_mode=[0-2]
0:流模式
1:普通触发模式
2:多相机同步模式
11.2.4 配置触发源
v4l2-ctl --set-ctrl trigger_src=[0-1]
0: 软触发
1: 硬触发
11.2.5 软触发一次
v4l2-ctl --set-ctrl soft_trgone=1
11.2.6 设置帧率
v4l2-ctl --set-ctrl frame_rate=[1-max]
随分辨率的调整,最大帧率会自动更新。
11.3 流模式
11.3.1 设置图像格式
以最大画面为例:
v4l2-ctl --set-fmt-video=width=$WIDTH,height=$HEIGHT,pixelformat=UYVY
v4l2-ctl --set-ctrl frame_rate=$FPS
11.3.2 帧率统计
v4l2-ctl --set-fmt-video=width=$WIDTH,height=$HEIGHT,pixelformat=UYVY --stream-mmap --stream-count=-1 --stream-to=/dev/null
11.3.3 保存图片到文件
11.3.3.1 通常情况下
- UYVY
v4l2-ctl -d /dev/video0 --set-fmt-video=width=$WIDTH,height=$HEIGHT,pixelformat=UYVY --stream-mmap --stream-count=1 --stream-to="uyvy-${WIDTH}x${HEIGHT}.yuv"
11.3.3.2 使用opencv预览GREY格式图像
sudo apt install python3-opencv
- 我们提供了一个简单的sample实现此功能:
python3 ./v4l2_opencv_show2.py --width 1920 --height 1080 --fps 60
11.4 触发模式
11.4.1 准备工作
v4l2-ctl --set-ctrl low_latency_mode=1
v4l2-ctl --set-fmt-video=width=$WIDTH,height=$HEIGHT,pixelformat=UYVY
v4l2-ctl --set-ctrl frame_rate=$FPS
11.4.2 软触发
11.4.2.1 设置模式
v4l2-ctl --set-ctrl work_mode=1
v4l2-ctl --set-ctrl trigger_src=0
v4l2-ctl --set-ctrl vi_time_out_disable=1
11.4.2.2 开始取图
- 通常情况下
此处的通常情况,指的是WIDTH是256的整数倍。
v4l2-ctl --set-fmt-video=width=$WIDTH,height=$HEIGHT,pixelformat=UYVY --stream-mmap --stream-count=-1 --stream-to="uyvy-${WIDTH}x${HEIGHT}.yuv"
- GX-MIPI-IMX662
v4l2-ctl --set-fmt-video=width=1920,height=1080,pixelformat=UYVY --stream-mmap --stream-count=-1 --stream-to=uyvy-1920x1080.yuv
11.4.2.3 进行软触发操作
在其他的shell终端,可以多次执行下面命令进行多次触发。
v4l2-ctl --set-ctrl soft_trgone=1
11.4.2.4 停止触发和采集
由于内核驱动中,死循环等待新图片,因此需要先取消vi_time_out_disable,然后再退出采集操作。
v4l2-ctl --set-ctrl vi_time_out_disable=0
在取图命令的终端中,按Ctrl+C退出采集操作。
11.4.3 硬触发
使用jetson-gpio进行触发操作,首先请安装并配置好jetson-gpio。
下面以使用jetson GPIO40(Board num)为模拟触发源,上升沿触发为例。
可以使用gx_mipi_i2c.sh脚本进行丰富的触发参数设置。
11.4.3.1 硬件连接
11.4.3.2 TBD
11.4.3.3 设置模式
v4l2-ctl --set-ctrl work_mode=1
v4l2-ctl --set-ctrl trigger_src=1
v4l2-ctl --set-ctrl vi_time_out_disable=1
11.4.3.4 开始取图
- 通常情况下
此处的通常情况,指的是WIDTH是256的整数倍。
v4l2-ctl --set-fmt-video=width=$WIDTH,height=$HEIGHT,pixelformat=UYVY --stream-mmap --stream-count=-1 --stream-to="uyvy-${WIDTH}x${HEIGHT}.yuv"
11.4.3.5 进行硬触发操作
python gpio_trigger_jetson.py
Note:触发脚本链接。
11.4.3.6 停止触发和采集
由于内核驱动中,死循环等待新图片,因此需要先取消vi_time_out_disable,然后再退出采集操作。
v4l2-ctl --set-ctrl vi_time_out_disable=0
在取图命令的终端中,按Ctrl+C退出采集操作。
11.5 同步模式
11.5.1 设置同步模式
$ v4l2-ctl --set-ctrl work_mode=4
11.5.2 设置主从相机
主相机:
$ v4l2-ctl --set-ctrl sync_role=0
从相机:
$ v4l2-ctl --set-ctrl sync_role=1
11.5.3 开始取图
同步模式下的取图方式与视频流模式下完全一致。
12 i2c脚本使用说明
我们提供了shell脚本来配置参数。
13 参考资料
14 本文修改记录
- 2025-12-11
第一个发布版本