- 16 Dec, 2022 1 commit
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Jeremy Reizenstein authored
Summary: Expect pytorch 1.13 Reviewed By: davidsonic Differential Revision: D42072731 fbshipit-source-id: 13ba4e7de18060dc4e5c0e10f850f17a88750fc9
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- 10 Aug, 2022 1 commit
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Jeremy Reizenstein authored
Summary: We now expect pytorch 1.12 Reviewed By: patricklabatut Differential Revision: D38425758 fbshipit-source-id: a22e672fcb0dc18f7d6424323d9cc6aaf5fcb4c6
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- 28 Apr, 2022 1 commit
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Jeremy Reizenstein authored
Summary: colab is now 1.11.0 Differential Revision: D35980556 fbshipit-source-id: 988a06c652518fb61ccbef2e7197e3422a706250
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- 21 Jan, 2022 1 commit
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Jeremy Reizenstein authored
Summary: Add --no-cache and --no-index to all commands which try to download wheels from S3, to avoid hitting pypi. Reviewed By: nikhilaravi Differential Revision: D33507975 fbshipit-source-id: ee796e43cc1864e475cd73c248e9900487012f25
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- 04 Jan, 2022 1 commit
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Jeremy Reizenstein authored
Summary: Manual adjustments for license changes. Reviewed By: patricklabatut Differential Revision: D33405657 fbshipit-source-id: 8a21735726f3aece9f9164da9e3b272b27db8032
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- 18 Dec, 2021 1 commit
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Jeremy Reizenstein authored
Summary: Make code for downloading linux wheels robust to double-digit PyTorch minor version. Reviewed By: nikhilaravi Differential Revision: D33170562 fbshipit-source-id: 559a97cc98ff8411e235a9f9e29f84b7a400c716
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- 13 Dec, 2021 1 commit
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Jeremy Reizenstein authored
Summary: Pre 0.6.1 release, make the tutorials expect wheels with PyTorch 1.10.0 Reviewed By: patricklabatut Differential Revision: D33016834 fbshipit-source-id: b8c5c1c6158f806c3e55ec668117fa762fa4b75f
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- 16 Aug, 2021 1 commit
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Jeremy Reizenstein authored
Summary: Change doc references to master branch to its new name main. Reviewed By: nikhilaravi Differential Revision: D30303018 fbshipit-source-id: cfdbb207dfe3366de7e0ca759ed56f4b8dd894d1
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- 03 Aug, 2021 1 commit
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Jeremy Reizenstein authored
Summary: At the next release, the prebuilt PyTorch3D wheels will depend on PyTorch 1.9.0. Update the tutorials to expect this. Reviewed By: nikhilaravi Differential Revision: D29614450 fbshipit-source-id: 39978a6a55b62fb7c7e62aaa8f138e47cadd631e
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- 28 Jun, 2021 1 commit
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Patrick Labatut authored
Summary: Deprecate the `so3_exponential_map()` function in favor of its alias `so3_exp_map()`: this aligns with the naming of `so3_log_map()` and the recently introduced `se3_exp_map()` / `se3_log_map()` pair. Reviewed By: bottler Differential Revision: D29329966 fbshipit-source-id: b6f60b9e86b2995f70b1fbeb16f9feea05c55de9
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- 09 Apr, 2021 1 commit
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Jeremy Reizenstein authored
Summary: Collection of spelling things, mostly in docs / tutorials. Reviewed By: gkioxari Differential Revision: D26101323 fbshipit-source-id: 652f62bc9d71a4ff872efa21141225e43191353a
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- 05 Feb, 2021 1 commit
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Jeremy Reizenstein authored
Summary: Prepare the tutorial notebooks to use wheels from S3 when run on colab. Reviewed By: nikhilaravi Differential Revision: D26226932 fbshipit-source-id: 1f9366c3fb4ba195333a5d5dfa3f6876ea934508
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- 11 Nov, 2020 1 commit
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Jeremy Reizenstein authored
Summary: As mentioned in a comment on https://github.com/facebookresearch/pytorch3d/issues/438, curl must be told to follow redirects. Reviewed By: nikhilaravi Differential Revision: D24870138 fbshipit-source-id: 0c8aeb5146f8699bcea03d4108276fc24e9eab6b
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- 10 Nov, 2020 1 commit
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Jeremy Reizenstein authored
Summary: We now require CUB for building, here we make the tutorials include it. Also make the installation cell do nothing if it has already succeeded. I use curl not wget, and `os.environ` to set the variables not shell methods, because they are more likely to work on Windows. Reviewed By: nikhilaravi Differential Revision: D24860574 fbshipit-source-id: 5be86af15e53f8db016ee0e96fb43153bd69adbc
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- 26 Aug, 2020 1 commit
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Jeremy Reizenstein authored
Summary: Update the installation cells to import torch. Replace use of deprecated Textures in deform tutorial. Correct the deform tutorial's idea of its own name. Fix typo in batched part of render_textured_meshes which meant only one mesh was being rendered with a batch of cameras. Add an error check in the rasterizer to make the error friendly from such a mistake elsewhere. Reviewed By: gkioxari Differential Revision: D23345462 fbshipit-source-id: 1d5bd25db052f7ef687b7168d7aee5cc4dce8952
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- 25 Aug, 2020 1 commit
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Jeremy Reizenstein authored
Summary: Add a document to explain how to run the tutorials. Fix API of TexturesVertex in fit_textured_mesh. Prepare cuda 10.1 wheels (not 10.2) for linux to be available on pypi - this matches what colab has. Change the tutorials to use these new wheels. Reviewed By: gkioxari Differential Revision: D23324479 fbshipit-source-id: 60e92a3f46a2d878f811b7703638f8d1dae143d9
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- 03 Jul, 2020 2 commits
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Jeremy Reizenstein authored
Reviewed By: nikhilaravi Differential Revision: D22357376 fbshipit-source-id: c103f9b0c798d4425d642781b5bfbb1a27310270
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Jeremy Reizenstein authored
Summary: It's easier to understand code changes if we don't store the output in the notebooks. This is just a run of nbstripout on all the notebooks. Reviewed By: nikhilaravi Differential Revision: D22357375 fbshipit-source-id: bffdb426af2f676d448630d717658d609c224811
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- 17 Mar, 2020 3 commits
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Patrick Labatut authored
Summary: Enable spelling linter for Markdown, reStructuredText and IPython notebooks under `fbcode/vision/fair`. Apply suggested fixes. Reviewed By: ppwwyyxx Differential Revision: D20495298 fbshipit-source-id: 95310c7b51f9fa68ba2aa34ecc39a874da36a75c
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Nikhila Ravi authored
Summary: A few small website updates: - changed the tutorials to point to the `stable` tag on github so we don't have to update the website each time we want to run them! - changed the colab button - re ran notebook cells to update the images for textured meshes Once these fixes are landed I can build and publish the website. Reviewed By: bottler Differential Revision: D20484836 fbshipit-source-id: 603a05e752f631c60d1a3abb9adeb1b9b451ab98
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Patrick Labatut authored
Summary: Use a consistent case for PyTorch3D (matching the logo...): replace all occurrences of PyTorch3d with PyTorch3D across the codebase (including documentation and notebooks) Reviewed By: wanyenlo, gkioxari Differential Revision: D20427546 fbshipit-source-id: 8c7697f51434c51e99b7fe271935932c72a1d9b9
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- 24 Feb, 2020 1 commit
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Tyler Barron authored
Summary: *: Fixed references to colors in the diagram Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/81 Reviewed By: bottler Differential Revision: D20064048 Pulled By: nikhilaravi fbshipit-source-id: a70ee446f1223ec900072a2380c75ed95fb4431d
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- 11 Feb, 2020 1 commit
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Nikhila Ravi authored
Summary: Update all colab notebooks to: - Install pytorch3d using pip install from github. - Retrieve data using `wget`. I set the wget commands to save the files in the same directory structure as in the PyTorch3d repo so that the rest of the tutorial would work for running locally or on Colab. This should resolve the issues on GitHub with running the colab notebooks. Reviewed By: gkioxari Differential Revision: D19827450 fbshipit-source-id: d7b338597ddfd9a84c24592d4dccd274cae11d05
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- 05 Feb, 2020 1 commit
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Nikhila Ravi authored
Summary: Set up landing page, docs page, and html versions of the ipython notebook tutorials. Pull Request resolved: https://github.com/fairinternal/pytorch3d/pull/11 Reviewed By: gkioxari Differential Revision: D19730380 Pulled By: nikhilaravi fbshipit-source-id: 5df8d3f2ac2f8dce4d51f5d14fc336508c2fd0ea
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- 23 Jan, 2020 1 commit
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facebook-github-bot authored
fbshipit-source-id: ad58e416e3ceeca85fae0583308968d04e78fe0d
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