The document of torchvision.ops.deform_conv2d is not clear
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Description
📚 Documentation
From the documentation, I cannot get the exact meaning of 18(ie, 233) channels of the offset in a deformable convolution?
I want to visualize the offset of the deformable convolution with kernel size 3*3.
So It’s essential for me to know what’s the exact meaning of these channels.
I write down something possible here:
upper-left: ul
upper-right: ur
bottom-left: bl
bottom-right: br
up: u
bottom: b
right: r
left: l
center: c
possible offset layout (maybe not correct):
delta_ul_x, delta_ul_y, delta_u_x, delta_u_y, delta_ur_x, delta_ur_y;
delta_l_x, delta_l_y, delta_c_x, delta_c_y, delta_r_x, delta_r_y;
delta_bl_x, delta_bl_y, delta_b_x, delta_b_y, delta_br_x, delta_br_y;
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the torchvision.ops.deform_conv2d documentation and the issue's example of the 18 offset channels. Clarify the exact channel and spatial ordering for a 3×3 kernel, so users can map each pair to an offset when visualizing it; done means the documentation makes this mapping unambiguous.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100