hadoop-mapreduce-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Ravi Prakash <ravihad...@gmail.com>
Subject Re: Hadoop: precomputing data
Date Wed, 12 Oct 2016 18:53:47 GMT
I guess one of the questions is what is your false negative rate in
Approach 1 Step 1?

Ofcourse if you are limited by resources you may have to go with Approach 1.

On Thu, Oct 6, 2016 at 6:14 AM, venito camelas <robotirlandes@gmail.com>
wrote:

> I'm designing a prototype using *Hadoop* for video processing to do face
> recognition. I thought of 2 ways of doing it.
>
> *Approach 1:*
>
> I was thinking of doing something in 2 steps:
>
>    1. A map that receives frames and if a face is found it gets stored
>    for the next step.
>    2. A map that receives the frames from step 1 (all frames containing 1
>    face at least) and does face recognition.
>
> Step 1 would be ran only once while step 2 runs every time I want
> recognize a new face.
>
>
> *Approach 2:*
>
> The other approach I thought about is to do face recognition to all the
> data every time
>
> The first approach saves time because I don't have to process faceless
> frames every time I want to do face recognition, it also uses more disk
> space (and it could be a lot of space).
>
>
> I'm not sure whats better. Is it a bad thing to leave that precomputed
> frames there forever?
>

Mime
View raw message