mirror of
https://github.com/graphdeco-inria/gaussian-splatting
synced 2024-11-24 13:04:20 +00:00
Added licenses, bumped submodule versions
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Subproject commit 71ced0023fd0c0aaaa83bb1ab32bce1d4ed630c7
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Subproject commit 3c35b80b65fdfca4ba580a6d7d11e9a8ede29f8a
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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from argparse import ArgumentParser, Namespace
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from argparse import ArgumentParser, Namespace
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import sys
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import sys
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import os
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import os
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convert.py
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convert.py
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import os
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import os
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from argparse import ArgumentParser
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from argparse import ArgumentParser
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import shutil
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import shutil
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full_eval.py
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full_eval.py
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import os
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import os
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from argparse import ArgumentParser
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from argparse import ArgumentParser
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import torch
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import torch
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import math
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import math
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from diff_gaussian_rasterization import GaussianRasterizationSettings, GaussianRasterizer
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from diff_gaussian_rasterization import GaussianRasterizationSettings, GaussianRasterizer
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import torch
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import torch
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import traceback
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import traceback
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import socket
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import socket
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metrics.py
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metrics.py
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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from pathlib import Path
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from pathlib import Path
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import os
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import os
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from PIL import Image
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from PIL import Image
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render.py
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render.py
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import torch
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import torch
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from scene import Scene
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from scene import Scene
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import os
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import os
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import os
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import os
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import random
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import random
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import json
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import json
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import torch
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import torch
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from torch import nn
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from torch import nn
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import numpy as np
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import numpy as np
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import numpy as np
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import numpy as np
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import collections
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import collections
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import struct
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import struct
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import os
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import os
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import sys
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import sys
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from PIL import Image
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from PIL import Image
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import torch
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import torch
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import numpy as np
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import numpy as np
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from utils.general_utils import inverse_sigmoid, get_expon_lr_func, build_rotation
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from utils.general_utils import inverse_sigmoid, get_expon_lr_func, build_rotation
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Subproject commit 3a07ac2e39b9ba7043ffc8bb98397c3ba6e2532d
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Subproject commit 4aedd8226f7257935891049f5a378b0e21d0aa37
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Subproject commit 76eff30b1533718fe652799729203821b7f54d73
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Subproject commit 10b4e40c4e73330ceb1adcb3bae4a494e7d3b9c1
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train.py
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train.py
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import os
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import os
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import torch
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import torch
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from random import randint
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from random import randint
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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from scene.cameras import Camera
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from scene.cameras import Camera
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import numpy as np
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import numpy as np
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from utils.general_utils import PILtoTorch
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from utils.general_utils import PILtoTorch
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import torch
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import torch
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import sys
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import sys
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from datetime import datetime
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from datetime import datetime
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import torch
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import torch
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import math
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import math
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import numpy as np
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import numpy as np
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import torch
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import torch
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def mse(img1, img2):
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def mse(img1, img2):
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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import torch
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import torch
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import torch.nn.functional as F
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import torch.nn.functional as F
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from torch.autograd import Variable
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from torch.autograd import Variable
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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact george.drettakis@inria.fr
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#
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from errno import EEXIST
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from errno import EEXIST
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from os import makedirs, path
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from os import makedirs, path
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import os
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import os
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