Perspective Camera¶
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project_points(point_3d: torch.Tensor, camera_matrix: torch.Tensor) → torch.Tensor[source]¶ Projects a 3d point onto the 2d camera plane.
Parameters: - point3d (torch.Tensor) – tensor containing the 3d points to be projected to the camera plane. The shape of the tensor can be \((*, 3)\).
- camera_matrix (torch.Tensor) – tensor containing the intrinsics camera matrix. The tensor shape must be Bx4x4.
Returns: array of (u, v) cam coordinates with shape \((*, 2)\).
Return type:
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unproject_points(point_2d: torch.Tensor, depth: torch.Tensor, camera_matrix: torch.Tensor, normalize: bool = False) → torch.Tensor[source]¶ Unprojects a 2d point in 3d.
Transform coordinates in the pixel frame to the camera frame.
Parameters: - point2d (torch.Tensor) – tensor containing the 2d to be projected to world coordinates. The shape of the tensor can be \((*, 2)\).
- depth (torch.Tensor) – tensor containing the depth value of each 2d points. The tensor shape must be equal to point2d \((*, 1)\).
- camera_matrix (torch.Tensor) – tensor containing the intrinsics camera matrix. The tensor shape must be Bx4x4.
- normalize (bool, optional) – wether to normalize the pointcloud. This must be set to True when the depth is represented as the Euclidean ray length from the camera position. Default is False.
Returns: tensor of (x, y, z) world coordinates with shape \((*, 3)\).
Return type: