Hi guys.. I kinda new to the deep learning stuff so I hope you can help me a bit.
I installed Caffe, and trained a classifier (mnist example) which is capable of detecting digits.
The classifier is of filetype .caffemodel, and was wondering if it possible to it with OpenCV to test its performance example in realtime.
I tried googling everywhere, and don't seem to be able to find one example which loads and simple image, apply the classifier on to it, and thereby determine whether or not the image contains the object which the classifier contains.
Is that a too hard task, or should one be able to apply the classifier which Caffe has modeled?