mxnet.ndarray.contrib.DeformablePSROIPooling¶

mxnet.ndarray.contrib.DeformablePSROIPooling(data=None, rois=None, trans=None, spatial_scale=_Null, output_dim=_Null, group_size=_Null, pooled_size=_Null, part_size=_Null, sample_per_part=_Null, trans_std=_Null, no_trans=_Null, out=None, name=None, **kwargs)¶

Performs deformable position-sensitive region-of-interest pooling on inputs. The DeformablePSROIPooling operation is described in https://arxiv.org/abs/1703.06211 .batch_size will change to the number of region bounding boxes after DeformablePSROIPooling

Parameters

data (Symbol) – Input data to the pooling operator, a 4D Feature maps
rois (Symbol) – Bounding box coordinates, a 2D array of [[batch_index, x1, y1, x2, y2]]. (x1, y1) and (x2, y2) are top left and down right corners of designated region of interest. batch_index indicates the index of corresponding image in the input data
trans (Symbol) – transition parameter
spatial_scale (float, required) – Ratio of input feature map height (or w) to raw image height (or w). Equals the reciprocal of total stride in convolutional layers
output_dim (int, required) – fix output dim
group_size (int, required) – fix group size
pooled_size (int, required) – fix pooled size
part_size (int, optional, default='0') – fix part size
sample_per_part (int, optional, default='1') – fix samples per part
trans_std (float, optional, default=0) – fix transition std
no_trans (boolean, optional, default=0) – Whether to disable trans parameter.
out (NDArray, optional) – The output NDArray to hold the result.

Returns

out – The output of this function.

Return type

NDArray or list of NDArrays