Hi, Dhut:
I got the bbxm rev c two months ago. I want to use it to achieve
the goal of tracking peopl. And owing to wanting to make most use of bbxm,
i want to use the dsp core in dm3730. According to materials i read, i want
to use the gstreamer, dmai and codec engine to develop my application.
However, i have not done davinci development before or even arm. so this
job is so hard for me, i think. so could you give me some practical
suggestion for me? if you have qq number, could you give it to me through
gmail? thank you!!!
在 2012年1月17日星期二UTC+8上午5时40分12秒，Dhut C写道：
>
> Thanks a lot for your great help!!
> I just want to know Does anybody use on chip DSP on any BeagleBoard
> or BeagleBoard XM ? The reason I am asking because He may know some
> practical challenges in an actual implementation or some tricks to make it
> happen.
>
> On Mon, Jan 16, 2012 at 6:51 AM, Vladimir Pantelic
> <[email protected]<javascript:>
> > wrote:
>
>> small update inline
>>
>>
>> Vladimir Pantelic wrote:
>>
>>> Dhut C wrote:
>>>
>>>> Thanks for reply.
>>>> I want to do a real time color detection and object detection..
>>>> I am not aware of how to do it using DSP.
>>>>
>>>
>> 1) ignore openCV and your camera for now
>>> 2) look into dsplink and codec engine (CE) or maybe C6Run
>>>
>>
>> 2a) use Angstrom because it has dsplink and CE already
>>
>>
>> 3) run dsplink/codec engine/C6Run examples
>>> 4) write your own simple dsp algorithm (or codec)
>>> 5) successfully run your simple codec/algo inside link/CE/C6Run
>>> 6) implement your "color detection and object detection" for the DSP
>>> Beware that making a DSP algorithm that is really fast is not simple
>>> and for most cases you will end up with something that could run
>>> at similar speed on the ARM unless you put a lot of effort into it
>>> Of course you can use the DSP to offload work to it and keep the
>>> ARM free for other stuff, but that means you need to have a SW
>>> framework on the ARM that allows to schedule DSP work in parallel
>>> to ARM work.
>>>
>>> and only once that works:
>>>
>>> 7) integrate your dsp algorithm inside openCV.
>>>
>>
>> 8) have fun!
>>
>>
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