openvino.runtime.opset7.deformable_psroi_pooling¶
- openvino.runtime.opset7.deformable_psroi_pooling(feature_maps: Union[openvino.pyopenvino.Node, int, float, numpy.ndarray], coords: Union[openvino.pyopenvino.Node, int, float, numpy.ndarray], output_dim: int, spatial_scale: float, group_size: int = 1, mode: str = 'bilinear_deformable', spatial_bins_x: int = 1, spatial_bins_y: int = 1, trans_std: float = 1.0, part_size: int = 1, offsets: Optional[Union[openvino.pyopenvino.Node, int, float, numpy.ndarray]] = None, name: Optional[str] = None) openvino.pyopenvino.Node¶
Return node performing DeformablePSROIPooling operation.
DeformablePSROIPooling computes position-sensitive pooling on regions of interest specified by input.
- Parameters
feature_maps – 4D tensor with feature maps.
coords – 2D tensor describing box consisting of tuples: [batch_id, x_1, y_1, x_2, y_2].
output_dim – A pooled output channel number.
spatial_scale – A multiplicative spatial scale factor to translate ROI.
group_size – The number of groups to encode position-sensitive score.
mode – Specifies mode for pooling. Range of values: [‘bilinear_deformable’].
spatial_bins_x – Specifies numbers of bins to divide the input feature maps over width.
spatial_bins_y – Specifies numbers of bins to divide the input feature maps over height.
trans_std – The value that all transformation (offset) values are multiplied with.
part_size – The number of parts the output tensor spatial dimensions are divided into.
offsets – Optional node. 4D input blob with transformation values (offsets).
name – The optional new name for output node.
- Returns
New node performing DeformablePSROIPooling operation.