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Image Recognition
The imagenet-console
and imagenet-camera
programs that we used before also accept extended command line parameters for loading a custom model snapshot. Set the $NET
variable below to the path to your extracted snapshot:
$ NET=networks/GoogleNet-ILSVRC12-subset
$ ./imagenet-console bird_0.jpg output_0.jpg \
--prototxt=$NET/deploy.prototxt \
--model=$NET/snapshot_iter_184080.caffemodel \
--labels=$NET/labels.txt \
--input_blob=data \
--output_blob=softmax
As before, the classification and confidence will be overlayed to the output image. When compared to the output of the original network, the retrained GoogleNet-12 makes similar classifications to the original GoogleNet-1000, except that now it outputs the meta-classes that we've retrained it with:
The extended command line parameters above also load custom classification models with imagenet-camera
.
Next | Locating Object Coordinates using DetectNet
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