- 22 May, 2020 1 commit
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generatedunixname89002005307016 authored
Summary: This diff is auto-generated to upgrade the Pyre version and suppress errors in vision. The upgrade will affect Pyre local configurations in the following directories: ``` vision/ale/search vision/fair/fvcore vision/fair/pytorch3d vision/ocr/rosetta_hash vision/vogue/personalization ``` Differential Revision: D21688454 fbshipit-source-id: 1f3c3fee42b6da2e162fd0932742ab8c5c96aa45
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- 14 May, 2020 1 commit
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Jeremy Reizenstein authored
Summary: pytorch is adding checks that mean integer tensors with requires_grad=True need to be avoided. Fix accidentally creating them. Reviewed By: jcjohnson, gkioxari Differential Revision: D21576712 fbshipit-source-id: 008218997986800a36d93caa1a032ee91f2bffcd
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- 04 May, 2020 1 commit
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Nikhila Ravi authored
Summary: Ran the linter. TODO: need to update the linter as per D21353065. Reviewed By: bottler Differential Revision: D21362270 fbshipit-source-id: ad0e781de0a29f565ad25c43bc94a19b1828c020
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- 24 Apr, 2020 1 commit
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Michele Sanna authored
Summary: Signed-off-by:
Michele Sanna <sanna@arrival.com> fixes the bin_size calculation with a formula for any image_size > 64. Matches the values chosen so far. simple test: ``` import numpy as np import matplotlib.pyplot as plt image_size = np.arange(64, 2048) bin_size = np.where(image_size <= 64, 8, (2 ** np.maximum(np.ceil(np.log2(image_size)) - 4, 4)).astype(int)) print(image_size) print(bin_size) for ims, bins in zip(image_size, bin_size): if ims <= 64: assert bins == 8 elif ims <= 256: assert bins == 16 elif ims <= 512: assert bins == 32 elif ims <= 1024: assert bins == 64 elif ims <= 2048: assert bins == 128 assert (ims + bins - 1) // bins < 22 plt.plot(image_size, bin_size) plt.grid() plt.show() ```  Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/90 Reviewed By: jcjohnson Differential Revision: D21160372 Pulled By: nikhilaravi fbshipit-source-id: 660cf5832f4ca5be243c435a6bed969596fc0188
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- 22 Apr, 2020 1 commit
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Nikhila Ravi authored
Summary: Added backface culling as an option to the `raster_settings`. This is needed for the full forward rendering of shapenet meshes with texture (some meshes contain multiple overlapping segments which have different textures). For a triangle (v0, v1, v2) define the vectors A = (v1 - v0) and B = (v2 − v0) and use this to calculate the area of the triangle as: ``` area = 0.5 * A x B area = 0.5 * ((x1 − x0)(y2 − y0) − (x2 − x0)(y1 − y0)) ``` The area will be positive if (v0, v1, v2) are oriented counterclockwise (a front face), and negative if (v0, v1, v2) are oriented clockwise (a back face). We can reuse the `edge_function` as it already calculates the triangle area. Reviewed By: jcjohnson Differential Revision: D20960115 fbshipit-source-id: 2d8a4b9ccfb653df18e79aed8d05c7ec0f057ab1
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- 20 Apr, 2020 1 commit
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Nikhila Ravi authored
Summary: Fix a bug which resulted in a rendering artifacts if the image size was not a multiple of 16. Fix: Revert coarse rasterization to original implementation and only update fine rasterization to reverse the ordering of Y and X axis. This is much simpler than the previous approach! Additional changes: - updated mesh rendering end-end tests to check outputs from both naive and coarse to fine rasterization. - added pointcloud rendering end-end tests Reviewed By: gkioxari Differential Revision: D21102725 fbshipit-source-id: 2e7e1b013dd6dd12b3a00b79eb8167deddb2e89a
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- 29 Mar, 2020 1 commit
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Patrick Labatut authored
Summary: Address black + isort fbsource linter warnings from D20558374 (previous diff) Reviewed By: nikhilaravi Differential Revision: D20558373 fbshipit-source-id: d3607de4a01fb24c0d5269634563a7914bddf1c8
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- 12 Mar, 2020 2 commits
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Patrick Labatut authored
Summary: The shebang line `#!<path to interpreter>` is only required for Python scripts, so remove it on source files for class or function definitions. Additionally explicitly mark as executable the actual Python scripts in the codebase. Reviewed By: nikhilaravi Differential Revision: D20095778 fbshipit-source-id: d312599fba485e978a243292f88a180d71e1b55a
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Nikhila Ravi authored
Summary: Applying the changes added for mesh rasterization to ensure that +Y is up and +X is left so that the coordinate system is right handed. Also updated the diagram in the docs to indicate that (0,0) is in the top left hand corner. Reviewed By: gkioxari Differential Revision: D20394849 fbshipit-source-id: cfb7c79090eb1f55ad38b92327a74a70a8dc541e
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- 06 Mar, 2020 1 commit
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Nikhila Ravi authored
Summary: ## Updates - Defined the world and camera coordinates according to this figure. The world coordinates are defined as having +Y up, +X left and +Z in. {F230888499} - Removed all flipping from blending functions. - Updated the rasterizer to return images with +Y up and +X left. - Updated all the mesh rasterizer tests - The expected values are now defined in terms of the default +Y up, +X left - Added tests where the triangles in the meshes are non symmetrical so that it is clear which direction +X and +Y are ## Questions: - Should we have **scene settings** instead of raster settings? - To be more correct we should be [z clipping in the rasterizer based on the far/near clipping planes](https://github.com/ShichenLiu/SoftRas/blob/master/soft_renderer/cuda/soft_rasterize_cuda_kernel.cu#L400) - these values are also required in the blending functions so should we make these scene level parameters and have a scene settings tuple which is available to the rasterizer and shader? Reviewed By: gkioxari Differential Revision: D20208604 fbshipit-source-id: 55787301b1bffa0afa9618f0a0886cc681da51f3
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- 25 Feb, 2020 1 commit
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takiyu authored
Summary: `PointLineDistanceForward()` should return squared distance. However, it seems that it returned non-squared distance when `v0` was near by `v1` in CPU implementation. Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/83 Reviewed By: bottler Differential Revision: D20097181 Pulled By: nikhilaravi fbshipit-source-id: 7ea851c0837ab89364e42d283c999df21ff5ff02
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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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