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VEYE-MIPI-290/327 for Raspberry Pi (view source)
Revision as of 21:06, 27 August 2019
, 21:06, 27 August 2019→Video Stream Toolkits Manual
*1. Clone from github
*1. Clone from github
<code>git clone <nowiki>https://github.com/veyeimaging/raspberrypi</nowiki></code>
<code>git clone https://github.com/veyeimaging/raspberrypi<nowiki/>.git</code>
*2. Downloading from github ([https://github.com/veyeimaging/raspberrypi link here]), upload to RPI using samba or USB disk.
*2. Downloading from github ([https://github.com/veyeimaging/raspberrypi link here]), upload to RPI using samba or USB disk.
====Toolkits Overview====
====Toolkits Overview====
[[File:Rpi github overview.jpg|alt=|center|thumb|600x600px|Software Tookits on github]]
Software toolkits contains threeparts. ''veye_raspcam'' is raspcam alike Video Stream Toolkits, D_mipi_rpi is D-SDK Video Stream Toolkits, ''i2c_cmd'' is Video Control Toolkits.
*Video Stream Tookkits provides real-time display, capture, video recording, etc.
*Video Stream Tookkits provides real-time display, capture, video recording, etc.
*Video Control Toolkits is a shell script which provides ISP parameters configuration capbility.
*Video Control Toolkits is a shell script which provides ISP parameters configuration capbility.
===Video Stream Toolkits Manual===
===Video Stream Toolkits Manual===
==== veye_raspcam: raspcam alike toolkits ====
VS toolkits provides several ELF file.
VS toolkits provides several ELF file.
Implement H.264 format encoding and record for 5 seconds，Record the stream data to file ~/test.h264.
Implement H.264 format encoding and record for 5 seconds，Record the stream data to file ~/test.h264.
*veye_raspivid (direct tcp stream with netcat，gstreamer etc..)
*veye_raspivid (direct tcp stream with '''netcat，gstreamer''' etc..)
'''RPI side'''
'''''RPI side'''''
<code>./veye_raspivid -b 4000000 -t 0 -o - | nc -l -p 5000</code>
<code>./veye_raspivid -b 4000000 -t 0 -o - | nc -l -p 5000</code>
H.264 encoding on bitrate4Mbps,forever，listen on TCP port 5000.
H.264 encoding on bitrate 4Mbps,forever，listen on TCP port 5000.
'''PC side,using gstreamer(Powershell recommended)'''
'''''PC side,using gstreamer(Powershell recommended)'''''
<code>./gst-launch-1.0 -v tcpclientsrc host=x.x.x.x port=5000 ! decodebin ! autovideosink</code>
<code>./gst-launch-1.0 -v tcpclientsrc host=x.x.x.x port=5000 ! decodebin ! autovideosink</code>
x.x.x.x is RPI IP address
x.x.x.x is RPI IP address
gstreamer windows version [https://gstreamer.freedesktop.org/documentation/installing/on-windows.html?gi-language=c download].
'''''gstreamer''''' windows version [https://gstreamer.freedesktop.org/documentation/installing/on-windows.html?gi-language=c download].
'''PC side, using mplayer'''
'''''PC side, using mplayer'''''
<code>./mplayer -x 1280 -y 720 -geometry 0:0 -fps 200 -demuxer h264es -noborder ffmpeg://tcp://x.x.x.x:5000</code>
<code>./mplayer -x 1280 -y 720 -geometry 0:0 -fps 200 -demuxer h264es -noborder ffmpeg://tcp://x.x.x.x:5000</code>
Capturing one image every 50 milliseconds and save to /dev/shm directory(which is in DDR).1920*1080 BMP format.
Capturing one image every 50 milliseconds and save to /dev/shm directory(which is in DDR).1920*1080 BMP format.
==== D-SDK Toolkits Manual ====
It contains three parts: C language SDK(libdmipicam.so),C language sample,Python language sample.
=====Install support package=====
<code>sudo apt-get update && sudo apt-get install libopencv-dev</code>
<code>sudo apt-get install python-opencv</code>
=====D-SDK=====
*interface：
opensource，D_mipicam.h
*compile：
<code>./build</code>
*install：
<code>sudo install -m 644 ./libdmipicam.so /usr/lib/</code>
=====C sample=====
*preview
Dispaly real-time video to HDMI output
*preview-dualcam
Dispaly real-time video to HDMI output for dual cameras（RPI CM）
*video
H.264 format encoding and record to file.
*capture
Capture one jpeg image.
*video2stdout
H.264 format encoding and send to stdout,which could be used by pipe. It's like <code>veye_raspivid -o -</code>.
<code>./video2stdout | nc -l -p 5000</code>
*capture_yuv
Capture one yuv image.
*capture-dualcam
Capture jpeg images for dual cameras.
*yuv_stream
Shows how to get yuv stream.
*capture2opencv
Shows how to get yuv stream,transfer to opencv format and display it.
*qrcode_detection
Shows how to get yuv stream,transfer to opencv format and display it and detect QR code.
=====Python sample=====
*preview.py
Dispaly real-time video to HDMI output
*capture.py
Capture one jpeg image.
*capture_yuv.py
capture_yuv
*video.py
H.264 format encoding and record to file.
*capture2opencv.py
Shows how to get yuv stream,transfer to opencv format and display it.
===Video Control Toolkits Manual===
===Video Control Toolkits Manual===
On Raspberry Pi, I2C-0 is used by GPU. We use I2C-1 as control bus for VEYE Camera Module. We provide a Shell Script — camera_i2c_config— to config pin usage.
On Raspberry Pi, I2C-0 is used by GPU. We use I2C-1 as control bus for VEYE Camera Module. We provide a Shell Script — camera_i2c_config— to config pin usage.