1. Overview
Arducam USB camera shield works on different hardware platforms including the Nvidia Jetson boards. Unlike the UVC camera, the USB camera shield requires a proprietary camera SDK for Jetson Linux system.
Both C/C++ and Python SDK are supported, and there are ready to go OpenCV examples and configuration files for a given camera breakout board.
2. Install the library and OpenCV Environment
2.1 Build and install arducam_config_parser
- Build
git clone https://github.com/ArduCAM/arducam_config_parser.git cd arducam_config_parser make clean && make
- Install
make install
2.2 Downlaod and install the latest libusb
- Download the libusb
- Copy the libusb-xxx.tar.bz to the Pi then run the following command to unzip it.[xxx：version number]
tar -jxvf libusb-xxx.tar.bz2
- Before compilation, Run the following commands to config it
cd libusb-xxx ./configure --disable-udev
- Install the libusb library
sudo make install
3. C++ SDK and example
3.1 Install Opencv and g++ compiler
- Install opencv
sudo apt-get install libopencv-dev
- Install g++ compiler[the version number of g++ should more than 4.8]
sudo apt-get install g++-4.8
3.2 Install the SDK
- Run the following command to install SDK
make install-sdk
3.3 Compile the example source code
- Run the following command to compile the source code
make
3.4 Streaming example
sudo ./ArduCam_Demo <path/config-file-name>
example:
cd ArduCAM_USB_Camera_Shield/RaspberryPi/Cpp/Streaming_demo
sudo ./ArduCam_Demo ../../../Config/USB2.0_UC-391_Rev.D/AR0134_RAW_8b_1280x964_31fps.cfg
While the program is running, you can press the following buttons in the terminal:
1.’s’:Save the image to the images folder.
2.’c’:Stop saving images.
3.’q’:Stop running the program.
3.5 External trigger example
sudo ./ArduCam_Ext_Trigger_Demo <path/config-file-name
example:
cd ArduCAM_USB_Camera_Shield/RaspberryPi/Cpp/External_trigger_demo
sudo ./ArduCam_Ext_Trigger_Demo ../../../Config/USB2.0_UC-391_Rev.D/AR0134_RAW_8b_1280x964_31fps.cfg
press Ctrl+C exit
4. Python SDK and examples
4.1 Install Python 2.7 and python-opencv
Notice: On raspberry Pi platform we advise use Python 2.7
sudo apt-get install python2.7-dev
- For Python3
sudo apt-get install python3.x-dev
- Install opencv
sudo apt-get install python-opencv
4.2 Example Usuage
4.2.1 Streaming demo
cd ArduCAM_USB_Camera_Shield/RaspberryPi/Python/Streaming_demo/
sudo python ArduCam_Py_Demo.py <path/config-file-name>
example:
sudo python ArduCam_Py_Demo.py ../../../Config/USB2.0_UC-391_Rev.D/AR0134_RAW_8b_1280x964_31fps.cfg
While the program is running, you can press the following buttons in the terminal:
- ‘s’ + Enter:Save the image to the images folder.
- ‘c’ + Enter:Stop saving images.
- ‘q’ + Enter:Stop running the program.
4.2.2 External trigger demo
cd ArduCAM_USB_Camera_Shield/RaspberryPi/Python/External_trigger_demo.py/
sudo python ArduCam_Ext_Trigger_Demo.py <path/config-file-name>
example:
sudo python ArduCam_Ext_Trigger_Demo.py ../../../Config/USB2.0_UC-391_Rev.D/AR0134_RAW_8b_1280x964_31fps.cfg
Press Ctrl+C to exit the demo.
