U (d@sndZddlZddlmZddlmZmZmZmZm Z ddl Z ddl m Z m Z ddl mZGdd d e jZdS) z, Implements the Generalized R-CNN framework N) OrderedDict)TupleListDictOptionalUnion)nnTensor)_log_api_usage_oncecsPeZdZdZejejejejddfdd Zejj ddZ d dd Z Z S) GeneralizedRCNNad Main class for Generalized R-CNN. Args: backbone (nn.Module): rpn (nn.Module): roi_heads (nn.Module): takes the features + the proposals from the RPN and computes detections / masks from it. transform (nn.Module): performs the data transformation from the inputs to feed into the model N)backbonerpn roi_heads transformreturncs4tt|||_||_||_||_d|_dS)NF)super__init__r rr rr _has_warned)selfr rrr __class__Q/tmp/pip-unpacked-wheel-vx7f76es/torchvision/models/detection/generalized_rcnn.pyrs zGeneralizedRCNN.__init__cCs|jr |S|S)N)training)rlosses detectionsrrr eager_outputs&szGeneralizedRCNN.eager_outputsc Cs2|jr|dkrtddnf|D]`}|d}t|tjrhtt|jdkoV|jddkd|jd q tdd t|d q g}|D]L}|jd d}tt|dkd |jd d||d |dfq| ||\}}|dk r|t |D]\}}|d}|ddddf|ddddfk} | rt | j ddd d } ||  } tdd| d|d q||j} t| tjrtd| fg} ||| |\} }|| | |j|\}}|j ||j|}i}||||tjr"|jstdd|_||fS|||SdS)a  Args: images (list[Tensor]): images to be processed targets (list[Dict[str, Tensor]]): ground-truth boxes present in the image (optional) Returns: result (list[BoxList] or dict[Tensor]): the output from the model. During training, it returns a dict[Tensor] which contains the losses. During testing, it returns list[BoxList] contains additional fields like `scores`, `labels` and `mask` (for Mask R-CNN models). NFz0targets should not be none when in training modeboxesz:Expected target boxes to be a tensor of shape [N, 4], got .z0Expected target boxes to be of type Tensor, got zJexpecting the last two dimensions of the Tensor to be H and W instead got r)ZdimzLAll bounding boxes should have positive height and width. Found invalid box z for target at index 0z=RCNN always returns a (Losses, Detections) tuple in scriptingT)rtorchZ_assert isinstancer lenshapetypeappendr enumerateanywheretolistr ZtensorsrrrZ image_sizes postprocessupdatejitZ is_scriptingrwarningswarnr)rZimagestargetstargetrZoriginal_image_sizesimgvalZ target_idxZdegenerate_boxesZbb_idxZdegen_bbfeaturesZ proposalsZproposal_lossesrZdetector_lossesrrrrforward.s\    (      zGeneralizedRCNN.forward)N) __name__ __module__ __qualname____doc__rModulerr&r2Zunusedrr: __classcell__rrrrr s  "  r )r>r3 collectionsrtypingrrrrrr&rr utilsr r?r rrrrs