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olivierbichler-cea avatar olivierbichler-cea commented on August 25, 2024

Hi,
Right now, there is no command line option to do exactly what you want, but this is actually easy using the N2D2 C++ API. This is done in the n2d2_live executable for example.
The relevant piece of code is the following:

        deepNet
             ->getStimuliProvider()
                 ->streamStimulus(img, Database::Test);

        deepNet->test(Database::Test);

        std::shared_ptr<TargetScore> targetPicture
            = deepNet->getTarget<TargetScore>();

        const Tensor3d<int> estimatedLabel
            = targetPicture->getEstimatedLabels()[0];
        const Tensor3d<Float_T> estimatedLabelValue
            = targetPicture->getEstimatedLabelsValue()[0];

Then, to display or save the labels estimated probabilities:

            for (unsigned int i = 0, size = TOPN; i < size; ++i) {
                std::string displayEstimatedName
                = deepNet->getDatabase()->getLabelName(estimatedLabel(i));

                double displayEstimatedValue = estimatedLabelValue(i);
                std::cout << displayEstimatedName
                    << ": "
                    << displayEstimatedValue
                    << "\n";
            }

For the exports, only the CPP_cuDNN export is available in the open source N2D2 right now. Please refer to the manual (section "About N2D2-IP") to obtain more information on the availability of other export modules.

from n2d2.

cyr6 avatar cyr6 commented on August 25, 2024

Thanks a lot for your time and these informations - with a little bit of modifications here and there I was able to extract what I wanted.

from n2d2.

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