TDA2: Some question about implement deep learning algorithm by ourselves

ChenWei Lai

Part Number: TDA2

Hi,

I found that if we want to implement deep learning algorithm by ourselves, we must need to use TIDL.

But if i implement it directly without TIDL, and just run it by CPU, it seems that i can't do this?

I know that TIDL can help us accelerate the algorithm, but i just want to know that if i don't use this library and run on CPU can i implement my neural network on this board ?

over 7 years ago

0 Yordan Kamenov over 7 years ago

TI__Mastermind 42515 points

Hi Chen-Wei,

you can create new deep learning algorithm and integrate it in your usecase. You can check documentation at vision_sdk\docs to get idea how to add new links/chains and new usecases.
But please note that if you implement your deep learning algorithm on CPU you might not get very good performance (for example TIDL runs on DSP or EVE which are better suited for such calculations).

Regards,
Yordan

0 ChenWei Lai over 7 years ago in reply to Yordan Kamenov

Prodigy 160 points

Hi Yordan,

i have this question because i modify the original usecase, replace the original function(canny) with tiny-YOLO and get the following result

So, i think maybe i can't implement it on CPU.
I think the best way to solve this problem is creating a new usecase rather than modifying the original usecase right?

Thanks for your reply,
Chen-Wei Lai