mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-02 03:42:50 +08:00
cb49550486
Summary: Adding MeshRasterizerOpenGL, a faster alternative to MeshRasterizer. The new rasterizer follows the ideas from "Differentiable Surface Rendering via non-Differentiable Sampling". The new rasterizer 20x faster on a 2M face mesh (try pose optimization on Nefertiti from https://www.cs.cmu.edu/~kmcrane/Projects/ModelRepository/!). The larger the mesh, the larger the speedup. There are two main disadvantages: * The new rasterizer works with an OpenGL backend, so requires pycuda.gl and pyopengl installed (though we avoided writing any C++ code, everything is in Python!) * The new rasterizer is non-differentiable. However, you can still differentiate the rendering function if you use if with the new SplatterPhongShader which we recently added to PyTorch3D (see the original paper cited above). Reviewed By: patricklabatut, jcjohnson Differential Revision: D37698816 fbshipit-source-id: 54d120639d3cb001f096237807e54aced0acda25
44 lines
1.7 KiB
Python
44 lines
1.7 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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import importlib
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import sys
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import unittest
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import unittest.mock
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from tests.common_testing import get_pytorch3d_dir
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# This file groups together tests which look at the code without running it.
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class TestBuild(unittest.TestCase):
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def test_no_import_cycles(self):
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# Check each module of pytorch3d imports cleanly,
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# which may fail if there are import cycles.
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with unittest.mock.patch.dict(sys.modules):
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for module in list(sys.modules):
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# If any of pytorch3d is already imported,
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# the test would be pointless.
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if module.startswith("pytorch3d"):
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sys.modules.pop(module, None)
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root_dir = get_pytorch3d_dir() / "pytorch3d"
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# Exclude opengl-related files, as Implicitron is decoupled from opengl
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# components which will not work without adding a dep on pytorch3d_opengl.
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for module_file in root_dir.glob("**/*.py"):
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if module_file.stem in (
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"__init__",
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"plotly_vis",
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"opengl_utils",
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"rasterizer_opengl",
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):
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continue
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relative_module = str(module_file.relative_to(root_dir))[:-3]
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module = "pytorch3d." + relative_module.replace("/", ".")
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with self.subTest(name=module):
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with unittest.mock.patch.dict(sys.modules):
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importlib.import_module(module)
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