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https://github.com/facebookresearch/pytorch3d.git
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lint fixes
Summary: Lint after recent changes. Reviewed By: nikhilaravi Differential Revision: D27682328 fbshipit-source-id: 285d159010d886e4e97902995adbdff875fd3c19
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@ -8,11 +8,7 @@ from pathlib import Path
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from tempfile import NamedTemporaryFile
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from tempfile import NamedTemporaryFile
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import torch
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import torch
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from common_testing import (
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from common_testing import TestCaseMixin, get_pytorch3d_dir, get_tests_dir
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TestCaseMixin,
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get_pytorch3d_dir,
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get_tests_dir,
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)
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from iopath.common.file_io import PathManager
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from iopath.common.file_io import PathManager
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from pytorch3d.io import IO, load_obj, load_objs_as_meshes, save_obj
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from pytorch3d.io import IO, load_obj, load_objs_as_meshes, save_obj
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from pytorch3d.io.mtl_io import (
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from pytorch3d.io.mtl_io import (
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@ -24,6 +20,7 @@ from pytorch3d.renderer import TexturesAtlas, TexturesUV, TexturesVertex
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from pytorch3d.structures import Meshes, join_meshes_as_batch
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from pytorch3d.structures import Meshes, join_meshes_as_batch
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from pytorch3d.utils import torus
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from pytorch3d.utils import torus
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DATA_DIR = get_tests_dir() / "data"
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DATA_DIR = get_tests_dir() / "data"
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TUTORIAL_DATA_DIR = get_pytorch3d_dir() / "docs/tutorials/data"
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TUTORIAL_DATA_DIR = get_pytorch3d_dir() / "docs/tutorials/data"
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@ -5,11 +5,10 @@ Sanity checks for loading R2N2.
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import json
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import json
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import os
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import os
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import unittest
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import unittest
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from pathlib import Path
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import numpy as np
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import numpy as np
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import torch
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import torch
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from common_testing import TestCaseMixin, load_rgb_image, get_tests_dir
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from common_testing import TestCaseMixin, get_tests_dir, load_rgb_image
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from PIL import Image
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from PIL import Image
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from pytorch3d.datasets import (
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from pytorch3d.datasets import (
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R2N2,
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R2N2,
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@ -7,9 +7,9 @@ import numpy as np
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import torch
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import torch
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from common_testing import (
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from common_testing import (
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TestCaseMixin,
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TestCaseMixin,
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load_rgb_image,
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get_pytorch3d_dir,
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get_pytorch3d_dir,
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get_tests_dir,
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get_tests_dir,
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load_rgb_image,
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)
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)
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from PIL import Image
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from PIL import Image
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from pytorch3d.io import load_obj
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from pytorch3d.io import load_obj
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@ -11,9 +11,9 @@ import numpy as np
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import torch
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import torch
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from common_testing import (
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from common_testing import (
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TestCaseMixin,
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TestCaseMixin,
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load_rgb_image,
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get_pytorch3d_dir,
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get_pytorch3d_dir,
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get_tests_dir,
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get_tests_dir,
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load_rgb_image,
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)
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)
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from PIL import Image
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from PIL import Image
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from pytorch3d.io import load_obj
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from pytorch3d.io import load_obj
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@ -13,7 +13,7 @@ import unittest
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import imageio
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import imageio
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import numpy as np
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import numpy as np
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import torch
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import torch
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from common_testing import TestCaseMixin, load_rgb_image, get_tests_dir
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from common_testing import TestCaseMixin, get_tests_dir, load_rgb_image
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from pytorch3d.io import save_obj
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from pytorch3d.io import save_obj
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from pytorch3d.renderer.cameras import FoVPerspectiveCameras, look_at_view_transform
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from pytorch3d.renderer.cameras import FoVPerspectiveCameras, look_at_view_transform
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from pytorch3d.renderer.lighting import PointLights
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from pytorch3d.renderer.lighting import PointLights
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@ -12,9 +12,9 @@ import numpy as np
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import torch
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import torch
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from common_testing import (
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from common_testing import (
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TestCaseMixin,
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TestCaseMixin,
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load_rgb_image,
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get_pytorch3d_dir,
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get_pytorch3d_dir,
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get_tests_dir,
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get_tests_dir,
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load_rgb_image,
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)
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)
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from PIL import Image
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from PIL import Image
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from pytorch3d.renderer.cameras import (
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from pytorch3d.renderer.cameras import (
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@ -7,8 +7,8 @@ import numpy as np
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import torch
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import torch
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from common_testing import (
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from common_testing import (
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TestCaseMixin,
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TestCaseMixin,
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get_random_cuda_device,
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get_pytorch3d_dir,
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get_pytorch3d_dir,
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get_random_cuda_device,
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get_tests_dir,
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get_tests_dir,
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)
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)
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from PIL import Image
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from PIL import Image
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@ -7,7 +7,7 @@ import unittest
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import numpy as np
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import numpy as np
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import torch
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import torch
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from common_testing import TestCaseMixin, load_rgb_image, get_tests_dir
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from common_testing import TestCaseMixin, get_tests_dir, load_rgb_image
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from PIL import Image
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from PIL import Image
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from pytorch3d.datasets import ShapeNetCore, collate_batched_meshes
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from pytorch3d.datasets import ShapeNetCore, collate_batched_meshes
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from pytorch3d.renderer import (
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from pytorch3d.renderer import (
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