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Hi there,
I'm looking to find a way to detect an objects in a very large image, and since the image is scaled to the net sizes I'm losing a lot of information in the original image.
So my plan is to read the Large images, divide it to several ROIs (rectangles) and send them simulations to the net forward pass.
To do this I will probably need to use the set_batch_network(&net, ROI_num) and concatenate images when memcopy them to CUDA, but how will get the results of for each ROI?
The concept is it possible to do?
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