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Modelnet #194

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Modelnet #194

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jackd
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@jackd jackd commented Mar 8, 2019

... this was supposed to just be modelnet10/40 with tri-mesh and point cloud sampling... then I found this and extending it to their sampled data/shapenet parts didn't seem too much more. Apologies for not splitting it up.

One issue I haven't been able to resolve is repeated downloads for different configs of the same dataset. builder.info.download_checksums just seem to disappear occasionally between runs. Could be related to this, but I suspect it's a different issue.

Note sure what the feeling is regarding volume submodule - just seemed like a good catch-all for point cloud/mesh/voxels. I suspect there'll be less controversial aspects here compared to this PR, but once either is resolved I'm happy to modify the other so that all shapenet stuff is sitting together (assuming image -> volume datasets are more volume-ous than image-ish).

Also happy to add the shapenet ICCV2017 reconstruction track (to partner the point cloud segmentation one) once shape issues with RLE encodings have been resolved.

@googlebot googlebot added the cla: yes Author has signed CLA label Mar 8, 2019
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jackd commented Mar 23, 2019

dataset info here.

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jackd commented Mar 24, 2019

I have no idea why this presubmit is failing... can't install tensorflow-datasets? All I did was add a lazy import...

@Conchylicultor Conchylicultor added the dataset request Request for a new dataset to be added label Jan 16, 2020
@cyfra cyfra added the community:please_review Community - We need your help to review this PR. label Feb 8, 2020
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taiya commented Apr 22, 2020

Hi @jackd would you like to add this dataset under tensorflow_graphics instead?
I see this has been here for about a year with no updates.

I finished the PR for modelnet40 (point cloud version, used by pointnet) and I randomly bumped in your pull request.

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jackd commented Apr 22, 2020

@ataiya Yeah, I gave up waiting here/submitting any more PRs and just made a separate repository with this and some other shape stuff. If it's likely to get through at graphics then I'm happy to clean some of them up, but I wouldn't mind getting a clearer idea of what'll be prioritized at the other end before I make too many PRs like this one.

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5 participants