Conv features for bounding boxes

I’m trying to run object re-identification between 2 cameras. In order to make that work, I need to somehow compute features for bounding boxes. Could you help me figure that out? For example, I would like to be able to take my bounding boxes, run them through a convolutional net (like ResNet) and get something like features from the last conv layer.

Or maybe there is a way to compute other kinds of features (SIFT or something like that)

There is no update from you for a period, assuming this is not an issue any more.
Hence we are closing this topic. If need further support, please open a new one.

Hey, could you share your setup with us? Could you also explain more about this request, you just need to if the 2 objects from 2 cameras are the same object?