Custom collate fn for dealing with batches of images that have a different number of associated object annotations (bounding boxes). Argument

Multibox Loss Args: predictions (tuple): A tuple containing loc preds, conf preds, and prior boxes from SSD net.

Args: loc_data: (tensor) Loc preds from loc layers Shape: [batch,num_priors*4] conf_data: (tensor) Sh

Returns the original annotation of image at index Note: not using self.__getitem__(), as any transformations passed in could mess up

Returns the original image at an index in tensor form Note: not using self.__getitem__(), as any transformations passed in could mess