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Grangeat-based 2D/3D image registration
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Variables | |
| project_drr_backward | |
| setup_context | |
| reg23.autograd.normalised_cross_correlation_backward | ( | ctx, | |
| d_loss_d_zncc, | |||
| * | args | ||
| ) |
:param ctx: :param d_loss_d_zncc: tensor of size (,); the derivative of the loss w.r.t. the ZNCC :return: tensor of the same size as a: the derivative of the loss w.r.t. the tensor `a`
| reg23.autograd.normalised_cross_correlation_setup_context | ( | ctx, | |
| inputs, | |||
| output | |||
| ) |
| reg23.autograd.project_drr_backward | ( | ctx, | |
| d_loss_d_drr | |||
| ) |
:param ctx: :param d_loss_d_drr: tensor of size (drr_height, drr_width); the derivative of the loss w.r.t. the DRR :return: tensor of size (4, 4): the derivative of the loss w.r.t. the inverse homography matrix
| reg23.autograd.project_drr_setup_context | ( | ctx, | |
| inputs, | |||
| output | |||
| ) |
| reg23.autograd.project_drr_backward |
| reg23.autograd.setup_context |