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ae_offset计算相关 #14
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'- conv_offset' is used for adapting to the 'deform_conv2d' function. The 'deform_conv2d' function carries out the offset based on the sampling grid of the typical convolution. On the other hand, 'torch.bmm(rot_matrix, conv_offset.transpose(1, 2)).transpose(1, 2)' denotes the offset of AeConv based on the center point of the convolution. Thus, 'torch.bmm(rot_matrix, conv_offset.transpose(1, 2)).transpose(1, 2) - conv_offset' signifies the offset of AeConv based on the sampling grid of the typical convolution, which aligns with the 'deform_conv2d' function. |
感谢解答 |
文件:AeDet-main\mmdetection3d\mmdet3d\ops\aeconv\aeconv.py 中 另外:想问下下方使用 shift_h 和 shift_w 的考虑是什么 align the sampled grid with the featureshift_h = (h - self.weight.shape[2]) % self.stride[0] |
文件:AeDet-main\mmdetection3d\mmdet3d\ops\aeconv\aeconv.py 中
计算方位角偏差
ae_offset = torch.bmm(rot_matrix, conv_offset.transpose(1, 2)).transpose(1, 2) - conv_offset
想问下,最后的
- conv_offset
的含义是什么The text was updated successfully, but these errors were encountered: