j ddlmZmZddlZddlZddlmZmZddlmZddl m Z ddl m Z ddl mZd d lmZmZejj dd ed eeeefdeededef dZGddejZdS))ListUnionN)nnTensor)BroadcastingList2)_pair)_assert_has_ops)_log_api_usage_once)check_roi_boxes_shapeconvert_boxes_to_roi_format?inputboxes output_size spatial_scalereturnctjs2tjst t t t||}t|}t|tj st|}tj j ||||d|d\}}|S)aU Performs Region of Interest (RoI) Pool operator described in Fast R-CNN Args: input (Tensor[N, C, H, W]): The input tensor, i.e. a batch with ``N`` elements. Each element contains ``C`` feature maps of dimensions ``H x W``. boxes (Tensor[K, 5] or List[Tensor[L, 4]]): the box coordinates in (x1, y1, x2, y2) format where the regions will be taken from. The coordinate must satisfy ``0 <= x1 < x2`` and ``0 <= y1 < y2``. If a single Tensor is passed, then the first column should contain the index of the corresponding element in the batch, i.e. a number in ``[0, N - 1]``. If a list of Tensors is passed, then each Tensor will correspond to the boxes for an element i in the batch. output_size (int or Tuple[int, int]): the size of the output after the cropping is performed, as (height, width) spatial_scale (float): a scaling factor that maps the box coordinates to the input coordinates. For example, if your boxes are defined on the scale of a 224x224 image and your input is a 112x112 feature map (resulting from a 0.5x scaling of the original image), you'll want to set this to 0.5. Default: 1.0 Returns: Tensor[K, C, output_size[0], output_size[1]]: The pooled RoIs. rr )torchjit is_scripting is_tracingr roi_poolr r r isinstancerrops torchvision)rrrrroisoutput_s IC:\Projects\Historical\venv\Lib\site-packages\torchvision/ops/roi_pool.pyrrs< 9 ! ! # #&EI,@,@,B,B&H%%%%   D $$K dEL ) )1*400 %..udM;WX>[fgh[ijjIFA McteZdZdZdeedeffd Zdede ee efdefdZ de fd Z xZS) RoIPoolz See :func:`roi_pool`. rrctt|||_||_dSN)super__init__r rr)selfrr __class__s r!r(zRoIPool.__init__=s= D!!!&*r"rrrc:t|||j|jSr&)rrr)r)rrs r!forwardzRoIPool.forwardCstT%5t7IJJJr"cD|jjd|jd|jd}|S)Nz (output_size=z, spatial_scale=))r*__name__rr)r)ss r!__repr__zRoIPool.__repr__Fs1~& l lT5E l lW[Wi l l lr")r/ __module__ __qualname____doc__rintfloatr(rrrr,strr1 __classcell__)r*s@r!r$r$8s+$5c$:+5++++++ KVK5f1E+FK6KKKK#r"r$)r)typingrrrtorch.fxrrtorch.jit.annotationsrtorch.nn.modules.utilsrtorchvision.extensionr utilsr _utilsr rfxwrapr5r6rModuler$r"r!rDsM 333333((((((111111''''''FFFFFFFF  && & f% &&#3'& &  &&&&Rbir"