| |
| |
| ``mx.nd.SpatialTransformer`` |
| ======================================================== |
| |
| Description |
| ---------------------- |
| |
| Applies a spatial transformer to input feature map. |
| |
| |
| Arguments |
| ------------------ |
| |
| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``data`` | NDArray-or-Symbol. | |
| | | | |
| | | Input data to the SpatialTransformerOp. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``loc`` | NDArray-or-Symbol | |
| | | localisation net, the output dim should be 6 when | |
| | | transform_type is affine. You shold initialize the weight | |
| | | and bias with identity | |
| | | tranform. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``target.shape`` | Shape(tuple), optional, default=[0,0]. | |
| | | | |
| | | output shape(h, w) of spatial transformer: (y, x) | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``transform.type`` | {'affine'}, required. | |
| | | | |
| | | transformation type | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``sampler.type`` | {'bilinear'}, required. | |
| | | | |
| | | sampling type | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``cudnn.off`` | boolean or None, optional, default=None | |
| | | whether to turn cudnn off | |
| +----------------------------------------+------------------------------------------------------------+ |
| |
| Value |
| ---------- |
| |
| ``out`` The result mx.ndarray |
| |
| |
