"git@developer.sourcefind.cn:modelzoo/solov2-pytorch.git" did not exist on "300f7157571bff8271e876d1952ddddea51ebd4d"
- 06 Oct, 2022 1 commit
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Gavin Peng authored
Summary: Threaded the for loop: ``` for (int yi = 0; yi < H; ++yi) {...} ``` in function `RasterizeMeshesNaiveCpu()`. Chunk size is approx equal. Reviewed By: bottler Differential Revision: D40063604 fbshipit-source-id: 09150269405538119b0f1b029892179501421e68
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- 28 Aug, 2022 1 commit
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Jiali Duan authored
Summary: Address comments to add benchmarkings for cameras and the new fisheye cameras. The dependency functions in test_cameras have been updated in Diff 1. The following two snapshots show benchmarking results. Reviewed By: kjchalup Differential Revision: D38991914 fbshipit-source-id: 51fe9bb7237543e4ee112c9f5068a4cf12a9d482
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- 25 May, 2022 2 commits
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Jeremy Reizenstein authored
Summary: Move testing targets from pytorch3d/tests/TARGETS to pytorch3d/TARGETS. Reviewed By: shapovalov Differential Revision: D36186940 fbshipit-source-id: a4c52c4d99351f885e2b0bf870532d530324039b
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Krzysztof Chalupka authored
Summary: Benchmarking. We only use num_faces=2 for splatter, because as far as I can see one would never need to use more. Pose optimization and mesh optimization experiments (see next two diffs) showed that Splatter with 2 faces beats Softmax with 50 and 100 faces in terms of accuracy. Results: We're slower at 64px^2. At 128px and 256px, we're slower than Softmax+50faces, but faster than Softmax+100faces. We're also slower at 10 faces/pix, but expectation as well as results show that more then 2 faces shouldn't be necessary. See also more results in .https://fburl.com/gdoc/ttv7u7hp Reviewed By: jcjohnson Differential Revision: D36210575 fbshipit-source-id: c8de28c8a59ce5fe21a47263bd43d2757b15d123
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- 12 May, 2022 1 commit
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John Reese authored
Summary: Applies the black-fbsource codemod with the new build of pyfmt. paintitblack Reviewed By: lisroach Differential Revision: D36324783 fbshipit-source-id: 280c09e88257e5e569ab729691165d8dedd767bc
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- 24 Jan, 2022 2 commits
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Jeremy Reizenstein authored
Summary: Use existing workaround for batched 3x3 symeig because it is faster than torch.symeig. Added benchmark showing speedup. True = workaround. ``` Benchmark Avg Time(μs) Peak Time(μs) Iterations -------------------------------------------------------------------------------- normals_True_3000 16237 17233 31 normals_True_6000 33028 33391 16 normals_False_3000 18623069 18623069 1 normals_False_6000 36535475 36535475 1 ``` Should help https://github.com/facebookresearch/pytorch3d/issues/988 Reviewed By: nikhilaravi Differential Revision: D33660585 fbshipit-source-id: d1162b277f5d61ed67e367057a61f25e03888dce
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Jeremy Reizenstein authored
Summary: New MultinomialRaysampler succeeds GridRaysampler bringing masking and subsampling. Correspondingly, NDCMultinomialRaysampler succeeds NDCGridRaysampler. Reviewed By: nikhilaravi, shapovalov Differential Revision: D33256897 fbshipit-source-id: cd80ec6f35b110d1d20a75c62f4e889ba8fa5d45
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- 04 Jan, 2022 2 commits
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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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Jeremy Reizenstein authored
Summary: Update all FB license strings to the new format. Reviewed By: patricklabatut Differential Revision: D33403538 fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c
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- 07 Dec, 2021 1 commit
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Jeremy Reizenstein authored
Summary: Move benchmarks to a separate directory as tests/ is getting big. Reviewed By: nikhilaravi Differential Revision: D32885462 fbshipit-source-id: a832662a494ee341ab77d95493c95b0af0a83f43
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