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Live video stream on server (PC) from images sent by robot through UDP

开发者 https://www.devze.com 2023-01-22 09:47 出处:网络
Hmm. I found this which seems promising: http://sourceforge.net/projects/mjpg-streamer/ Ok. I will try to explain what I am trying to do clearly and in much detail.

Hmm. I found this which seems promising:

http://sourceforge.net/projects/mjpg-streamer/


Ok. I will try to explain what I am trying to do clearly and in much detail.

I have a small humanoid robot with camera and wifi stick (this is the robot). The robot's wifi stick average wifi transfer rate is 1769KB/s. The robot has 500Mhz CPU and 256MB RAM so it is not enough for any serious computations (moreover there are already couple modules run开发者_如何学Goning on the robot for motion, vision, sonar, speech etc).

I have a PC from which I control the robot. I am trying to have the robot walk around the room and see a live stream video of what the robot sees in the PC.

What I already have working. The robot is walking as I want him to do and taking images with the camera. The images are being sent through UDP protocol to the PC where I am receiving them (I have verified this by saving the incoming images on the disk).

The camera returns images which are 640 x 480 px in YUV442 colorspace. I am sending the images with lossy compression (JPEG) because I am trying to get the best possible FPS on the PC. I am doing the compression to JPEG on the robot with PIL library.

My questions:

  1. Could somebody please give me some ideas about how to convert the incoming JPEG images to a live video stream? I understand that I will need some video encoder for that. Which video encoder do you recommend? FFMPEG or something else? I am very new to video streaming so I want to know what is best for this task. I'd prefer to use Python to write this so I would prefer some video encoder or library which has Python API. But I guess if the library has some good command line API it doesn't have to be in Python.

  2. What is the best FPS I could get out from this? Given the 1769KB/s average wifi transfer rate and the dimensions of the images? Should I use different compression than JPEG?

  3. I will be happy to see any code examples. Links to articles explaining how to do this would be fine, too.

Some code samples. Here is how I am sending JPEG images from robot to the PC (shortened simplified snippet). This runs on the robot:

# lots of code here

UDPSock = socket(AF_INET,SOCK_DGRAM)

  while 1:
    image = camProxy.getImageLocal(nameId)
    size = (image[0], image[1])
    data = image[6]
    im = Image.fromstring("YCbCr", size, data)
    s = StringIO.StringIO()
    im.save(s, "JPEG")

    UDPSock.sendto(s.getvalue(), addr)

    camProxy.releaseImage(nameId)

  UDPSock.close()

  # lots of code here

Here is how I am receiving the images on the PC. This runs on the PC:

  # lots of code here

  UDPSock = socket(AF_INET,SOCK_DGRAM)
  UDPSock.bind(addr)

  while 1:
    data, addr = UDPSock.recvfrom(buf)
    # here I need to create a stream from the data
    # which contains JPEG image

  UDPSock.close()

  # lots of code here


Checking out your first question. Though the solution here uses a non-streaming set of pictures. It might help. The example uses pyMedia.

  • http://pymedia.org/tut/src/make_video.py.html

Some along the lines of what you want.

  • http://code.google.com/p/mjpeg-stream-client/

If you have a need to edit a binary stream:

  • http://bitbucket.org/haypo/hachoir/wiki/hachoir-parser


Try pyffmpeg and test each available codec for the best performance. You probably need a very lightweight codec like Smoke or low profile H263 or x264, and you probably need to drop the resolution to 320x240.

You have a trade off between latency of the video encoding and decoding and the bandwidth used, you might find dropping down to 160x120 with raw packets for a quick scene analysis and only periodically transmitting a full frame. You could also mix a raw, low latency, low resolution, high update feed with a high compressed, high latency, high resolution, low update feed.

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