def upsample_resolution()

in utils/interpolation_base.py [0:0]

• 17 lines of code
• 2 McCabe index (conditional complexity)

    def upsample_resolution(self, vertices):
        num_vert = self.shape_x.next_resolution()[0]
        num_t = vertices.shape[0]

        vertices_new = my_zeros([num_t, num_vert, 3])

        for t in range(1, num_t - 1):
            l = (t - 1) / (num_t - 2)
            vertices_new[t, ...] = (1 - l) * self.shape_x.apply_upsampling(
                torch.mm(self.hess_inv, vertices[t, ...])
            ) + l * self.shape_y.apply_upsampling(
                torch.mm(self.hess_inv, vertices[t, ...])
            )
            vertices_new[t, ...] = torch.mm(self.hess, vertices_new[t, ...])

        self.shape_x.increase_scale_idx()
        self.shape_y.increase_scale_idx()

        vertices_new[0, ...] = torch.mm(self.hess, self.shape_x.vert.clone())
        vertices_new[num_t - 1, ...] = torch.mm(self.hess, self.shape_y.vert.clone())

        return vertices_new