Re: [Dclib-devel] dnn_metric_learning_on_images_ex - can't load trained model

[Ben G. <ben...@gm...>]

OK,
I added my code to examples CMakeFile and its working (need to understand
why when I build it manually it doesn't works??)
Anyways, How can I get the metric from my network to see the prediction?
I trained my model for two classes and I'm executes it like this:
std::vector<matrix<float,0,1>> embedded = net(faces);

how can I fetch the results metric for each face from  'embedded'?

Regards,
Ben

2018-05-22 22:19 GMT+03:00 Ben Goz <ben...@gm...>:

> I'm using google test framework with empty Setup function and this is the
> only code I'm using on my test item:
> anet_type t;
> cout << "Trying loading net" << endl;
> deserialize("metric_network_renset.dat") >> t;
> cout << "Loaded net" << endl;
>
> nothing else before and after and I'm getting memory corruption all the
> time.
> Can't understand what could go wrong?!?!
>
> 2018-05-22 22:00 GMT+03:00 Davis King <dav...@gm...>:
>
>> No, you don't need to do anything.  The things you are describing should
>> be impossible, which means you have probably clobbered your function stack
>> or done something similarly bad in other parts of your code.  You just need
>> to debug your program. Look for something bad that happens prior to this.
>> This is just the symptom of some bug somewhere else, not the cause.
>>
>> You can load it with anet_type or net_type.  Both are fine.
>>
>> ------------------------------------------------------------
>> ------------------
>> Check out the vibrant tech community on one of the world's most
>> engaging tech sites, Slashdot.org! http://sdm.link/slashdot
>> _______________________________________________
>> Dclib-devel mailing list
>> Dcl...@li...
>> https://lists.sourceforge.net/lists/listinfo/dclib-devel
>>
>>
>