luocfprime

import time
import logging
from contextlib import ContextDecorator
from functools import wraps

logger = logging.getLogger(__name__)

class profiler(ContextDecorator):
    def __init__(self, name=None, profiler_logger=None):
        self.name = name

luocfprime

# https://github.com/nerfstudio-project/nerfstudio/issues/2438

conda create --name nerfstudio -y python=3.8
conda activate nerfstudio
python -m pip install --upgrade pip
pip uninstall torch torchvision functorch tinycudann
pip install torch==2.0.1 torchvision==0.15.2 

git clone https://github.com/nerfstudio-project/nerfstudio.git
cd nerfstudio

luocfprime

from typing import Union

import matplotlib.pyplot as plt
import numpy as np
import torch
from PIL import Image
from torchvision.transforms import ToPILImage


def show_image(img: Union[torch.Tensor, np.ndarray, Image.Image]):

luocfprime

import torch
import torchvision.transforms as T
from PIL import Image
from einops import rearrange

# input path here
img = Image.open("input/view0.png")


class GridDecompose:

luocfprime

import inspect
from functools import wraps
from typing import Any, Callable, Tuple


def mutually_exclusive_arg_groups(*arg_groups: Tuple[str, ...], must_match_one_group=False) -> Callable:
    """
    Validate specified keyword arg group are mutually exclusive.
    Args:
        *arg_groups: Tuple[str, ...]

luocfprime

/*
 * @Date: 2022-03-21 13:47:22
 * @LastEditors: Lcf
 * @LastEditTime: 2022-03-24 04:14:16
 * @FilePath: /socket_programming/include/debug.h
 */

#ifndef __DEBUG_H__
#define __DEBUG_H__