mmcv.ops.point_sample¶
- mmcv.ops.point_sample(input: torch.Tensor, points: torch.Tensor, align_corners: bool = False, **kwargs) → torch.Tensor[source]¶
A wrapper around
grid_sample()to support 3D point_coords tensors Unliketorch.nn.functional.grid_sample()it assumes point_coords to lie inside[0, 1] x [0, 1]square.- Parameters
input (torch.Tensor) – Feature map, shape (N, C, H, W).
points (torch.Tensor) – Image based absolute point coordinates (normalized), range [0, 1] x [0, 1], shape (N, P, 2) or (N, Hgrid, Wgrid, 2).
align_corners (bool, optional) – Whether align_corners. Default: False
- Returns
Features of point on input, shape (N, C, P) or (N, C, Hgrid, Wgrid).
- Return type