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dnn module caffe, weird output [closed]

asked 2018-11-03 05:48:38 -0500

aguila gravatar image

Hello, i am porting an algorithm to opencv https://arxiv.org/pdf/1804.06039.pdf , the models are available here: https://github.com/Jack-CV/PCN-FaceDe... . I finished the first stage and while implementing the second, the outputs of the network are a bit weird:

Input Data: I: 1 C: 3 H: 24 W: 24

Scores Data: I: 1 C: 2 H: 299777088 W: 1

Regression Data: I: 1 C: 3 H: 309665792 W: 1

Rotate Data: I: 1 C: 3 H: 299780800 W: 1

The channels size of each output is correct, but the H,W are confusing me. I don't know if this has to be with the case that the model is the same for all the three networks?. Or maybe is an overflow issue? I tested it just forwarding a simple image with the secont network "PCN-2.prototxt" the output is similar.. has someone experienced something like this?

thanks!

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Closed for the following reason the question is answered, right answer was accepted by dkurt
close date 2018-11-08 06:49:26.640833

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porting means what ? to opencv3, using the dnn module instead of caffe ? (that would be indeed cool !)

berak gravatar imageberak ( 2018-11-03 05:53:00 -0500 )edit
1

yes! using the dnn module instead of caffe, i ported a lot of algorithms and while using the CPU, dnn is faster than the caffe CPU version.. so i wanted to do the same with this one :) .. also the linking is easier Im using the latest repo of opencv..

aguila gravatar imageaguila ( 2018-11-03 05:57:25 -0500 )edit

shame, i don't have caffe, else i'd join your battle ;)

berak gravatar imageberak ( 2018-11-03 06:01:28 -0500 )edit

uuuh shame :( . i will try to figure out what can be different there and post news if i get something. thanks!

aguila gravatar imageaguila ( 2018-11-03 06:24:36 -0500 )edit
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sturkmen gravatar imagesturkmen ( 2018-11-03 07:16:35 -0500 )edit

yes, i was looking also in that one. I did the process of setting the inputs and reading the outputs of the networks similarly. Is the first time that I use the same .caffemodel for 3 different networks in opencv::dnn, i dont know if while loading the model, the fact that some output layers have the same name could be an issue (?)

aguila gravatar imageaguila ( 2018-11-03 07:53:33 -0500 )edit
sturkmen gravatar imagesturkmen ( 2018-11-03 07:59:39 -0500 )edit

i have both running in caffe and ncnn.. but in mac os :( . caffe is about 30-FPS and ncnn around 7-FPS with the same configurations on CPU.. i can post the first two stages of my code with opencv::dnn here if that is of some help?

aguila gravatar imageaguila ( 2018-11-03 08:10:09 -0500 )edit

@aguila, -- yes, please, let's see the code ! (why not put it on github, even ;) ?)

and, btw, which layers do Scores Data , etc refer to ?

made some program recently, that prints out the opencv dnn layers, and got this

(the network layer names are not exactly the same, so this shouldn't be a problem, imho)

berak gravatar imageberak ( 2018-11-03 08:27:08 -0500 )edit
1

okay! i will just get some sushi and then create a github repo.. the names i defined as:

ScoresData is the "cls_prob" layer

RegressionData the "bbox_reg_1" layer

RotateData the "rotate_cls_prob" layer

layer name "cls_prob" is in the three networks present no? and "rotate_cls_prob" is in the first two networks

aguila gravatar imageaguila ( 2018-11-03 08:32:03 -0500 )edit

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answered 2018-11-05 13:54:09 -0500

aguila gravatar image

updated 2018-11-05 15:52:25 -0500

solved... the error was accessing bad dimensions of blob

https://github.com/richipower/PCN-opencv

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Asked: 2018-11-03 05:48:38 -0500

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Last updated: Nov 05 '18