U (d @szddlZddlmZmZddlmZddlmZddlmZddl m Z m Z deee e ed d d ZGd ddejZdS)N)nnTensor)_pair)_assert_has_ops)_log_api_usage_once)convert_boxes_to_roi_formatcheck_roi_boxes_shape?)inputboxes output_size spatial_scalereturncCsptjstjstttt||}t|}t |tj sJt |}tj j ||||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)torchZjitZ is_scripting is_tracingr ps_roi_poolrr r isinstancerr opsZ torchvision)r r rrroisoutput_r?/tmp/pip-unpacked-wheel-vx7f76es/torchvision/ops/ps_roi_pool.pyr s "rcsHeZdZdZeedfdd ZeeedddZe dd d Z Z S) PSRoIPoolz" See :func:`ps_roi_pool`. )rrcs"tt|||_||_dSN)super__init__rrr)selfrr __class__rrr9s zPSRoIPool.__init__)r rrcCst|||j|jSr)rrr)rr rrrrforward?szPSRoIPool.forward)rcCs"|jjd|jd|jd}|S)Nz (output_size=z, spatial_scale=))r!__name__rr)rsrrr__repr__BszPSRoIPool.__repr__) r$ __module__ __qualname____doc__intfloatrrr"strr& __classcell__rrr rr4sr)r )rrrZtorch.nn.modules.utilsrZtorchvision.extensionrutilsr_utilsr r r*r+rModulerrrrrs    *