I found your project only early this morning and am fascinated with your
progress thus far.  I will be following your developments eagerly.  Also, I
will be informing some of the other interest at the office about your work
and see if any collaboration comes of it.


On Thu, Jun 26, 2008 at 4:07 AM, Nirav Patel <[EMAIL PROTECTED]> wrote:

> As you may know, OLPC got GSoC students again this summer.  I am one
> of them, and my project is Vision Processing.  That is, a library to
> use the webcam for more than capturing images.  I am implementing this
> by adding v4l2 and computer vision functions to pygame.
> My code is available at;a=summary and
> is currently pygame 1.8.1 with the addition of a camera module that
> supports v4l2 cameras that use MMAP and have pixelformats of RGB24,
> RGB444, YUYV, SBGGR8, or YUV420.  Basic usage is as follows:
> import pygame
> from pygame import camera
> cam = camera.Camera("/dev/video0", (640, 480), "RGB")  # the third
> argument can be YUV or HSV too.
> cam.start()
> frame = cam.get_image() # the frame returned is a 24bit pygame Surface
> You can also do fun stuff like:
> or more practical stuff like having it track the centroid of a
> specific hue (green in this case):
> My plans are to add functions like finding the largest connected
> component, optical flow, and other things useful for computer vision.
> Currently, performace is pretty poor on the XO; a combination of the
> Geode being slow and having to convert from 24bit to 16bit surfaces to
> display any captured frames.  The XO is fast enough to capture and
> blit a 320x240 RGB frame at 30fps, but not at 640x480 or a frame being
> converted to HSV.  I'm not sure how or if I'm going to be able to
> overcome those performance problems.
> I'd appreciate any comments, suggestions, or reality checks on
> improving performance or anything else, or any requests for vision
> functions to add.  Also, I only have the camera in the XO, vivi, and a
> poorly supported USB webcam, so if anyone could test it on other
> webcams, that would be great.
> Thanks,
> Nirav Patel
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