[j6 ddlZddlZddlmZmZddlmZddlmZddlm Z ddl m Z m Z ejj dd ed ed ed ed ef dZGddej$Zy)N)nnTensor)_pair)_assert_has_ops)_log_api_usage_once)check_roi_boxes_shapeconvert_boxes_to_roi_formatinputboxes output_size spatial_scalereturnctjjs-tjjst t t t||}t|}t|tjs t|}tjjj ||||d|d\}}|S)a Performs Position-Sensitive Region of Interest (RoI) Pool operator described in R-FCN 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 (in bins or pixels) after the pooling 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]), output_size[0], output_size[1]]: The pooled RoIs. rr )torchjit is_scripting is_tracingr ps_roi_poolrr r isinstancerr ops torchvision)r r rrroisoutput_s Z/var/www/html/ia-enhanced/venv/lib/python3.12/site-packages/torchvision/ops/ps_roi_pool.pyrr s> 99 ! ! #EII,@,@,BK(% D $K dELL )*40 %%11%}kZ[n^ijk^lmIFA McLeZdZdZdedeffd ZdededefdZde fd Z xZ S) PSRoIPoolz" See :func:`ps_roi_pool`. rrcTt|t|||_||_yN)super__init__rrr)selfrr __class__s rr$zPSRoIPool.__init__;s& D!&*rr rrcFt|||j|jSr")rrr)r%r rs rforwardzPSRoIPool.forwardAs5$(8(8$:L:LMMrcl|jjd|jd|jd}|S)Nz (output_size=z, spatial_scale=))r&__name__rr)r%ss r__repr__zPSRoIPool.__repr__Ds;~~&&'}T5E5E4FFVW[WiWiVjjk lr) r+ __module__ __qualname____doc__intfloatr$rr(strr- __classcell__)r&s@rr r 6sE+C++ NVN6NfN#rr )g?)rtorch.fxrrtorch.nn.modules.utilsrtorchvision.extensionrutilsr_utilsr r fxwrapr1r2rModuler rrr>sz (1'F  ' ' '' '  ''T r