Introduction
Arducam team designed a simple and ready to use userland MIPI camera driver, which doesn’t require recompile the camera driver every time the kernel version updated. Although it is not V4L2 compliance, we provide rich set of API calls and example code for C/C++, Python as well as OpenCV and Gstreamer. Stereo camera is also supported for Raspberry pi compute module.
PREREQUISITES
Enable i2c_vc
$ chmod +x ./enable_i2c_vc.sh
$ ./enable_i2c_vc.sh
Alter running the script, reboot will be required.
Install the SDK library
$ make install
Compile the Examples
$ make clean && make
Optional Settings
Edit /boot/config.txt file. Find gpu_mem=xxx line. Modify gpu_mem size with the proper size, recommend using gpu_mem=160 for 13MP camera board,
gpu_mem=180 for 16MP or higher camera board.
RUNNING THE EXAMPLES
Preview Example
$ ./preview
In the preview.c example, it will demo how to do a preview in different resolution and camera control parameters.
Capture Example
$ ./capture
In the capture.c example, it will capture different resolution JPEG images.
$ ./capture_raw
In the capture_raw.c example, it will capture different resolution none interpolation raw format images, especially useful for monochrome sensors.
$ ./raw_callback
In the raw_callback.c example, it is callback version of capture_raw example.
Video Recording Example
$ ./video
In the video.c example, it will record the video in H246 format.
Camera Control Query Example
$ ./list_format
In the list_format.c example, it will list camera supported resolution and control functions.
Sensor Register Read/Write Example
$ ./read_write_sensor_reg
In the read_write_sensor_reg.c example, it illustrates how to directly read/write sensor registers. This example might need to be modified according to the correct sensor register address.
OpenCV Example
$ ./capture2opencv
In the capture2opencv.cpp example, it converts YUV data to OpenCV Mat format, and displays as is.
Gstreamer Example
In the video2stdout.c example, it outputs H.264 video stream to stdout, and uses gstreamer to push the stream to PC.
Example 1: Raspberry pi side command:
$ ./video2stdout | nc -l -p 5000
PC side command: (x.x.x.x is your Raspberry Pi IP address)
$ gst-launch-1.0 -v tcpclientsrc host=x.x.x.x port=5000 ! decodebin ! autovideosink
Example 2:
Raspberry pi side command: (x.x.x.x is your Raspberry Pi IP address)
$ ./video2stdout | gst-launch-1.0 -v fdsrc ! h264parse ! rtph264pay config-interval=1 pt=96 ! gdppay ! tcpserversink host=x.x.x.x port=5000
PC side command: (x.x.x.x is your Raspberry Pi IP address)
$ gst-launch-1.0 -v tcpclientsrc host=x.x.x.x port=5000 ! gdpdepay ! rtph264depay ! avdec_h264 ! autovideosink sync=false
QR Code Detection Example
$ ./qrcode_detection <exposure_value>
In the qrcode_detection.cpp example, it illustrates how to use global shutter camera like OV7251 or OV9281 to detect QR code using OpenCV. To run this demo you have to install the dependence
sudo apt-get update && sudo apt-get install libzbar-dev libopencv-dev
Dual Camera Demo
$ ./preview-dualcam
$ ./capture-dualcam
In the preview-dualcam.c examle, it illustrates how to open the two camera ports on Raspberry pi compute module at the same time for preview. And the capture- dualcam.c examle, it illustrates how to do capture from each camera port on Raspberry pi compute module by switching between them.
A camera_interface struct should be constructed according to your hardware wiring.
For example camera port 0 is using sda_pin 28, scl_pin 29, led_pin 30, shutdown_pin 31, and camera port 1 is using sda_pin 0, scl_pin 1, led_pin 2, shutdown_pin 3.
More information about the compute module wiring please check: https://www.raspberrypi.org/documentation/hardware/computemodule/cmio-camera.md
UTILITY
How to playback the H264 file
Compile hello_video.bin
$ cd /opt/vc/src/hello_pi && ./rebuild.sh
Play H264 file
$ /opt/vc/src/hello_pi/hello_video/hello_video.bin test.h264
