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TODO for next refacto
ThibaultGROUEIX edited this page Nov 19, 2019
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10 revisions
- factorize SVR and autoencoder
- factorise Square template and Sphere
- Add latent vector as bias (30% speedup)
- remove last
th
in decoder - make large .pth tensor with all pointclouds (drop the nasty Chunk_reader)
- make-it multi-gpu
- add netvision results
- rewrite main script object oriented like 3D-CODED
- check that everything works in latest pytorch version
- Add more layer by default and flag for the number of layers
- Add a flag to generate a mesh directly
- Add a python setup install ( that update the submodule, and install the right packages)
- Make sure GPU are used at 100%
- Add f-score in Chamfer + report f-score
- Get rid of shapenet_v2 data and use v1!
- fix path no more sys.path.append
- shapenet 55
- Make minimal dependencies