DSNeRF复现流程-编程知识

创建虚拟环境安装依赖

conda create -n DSNeRF python=3.7

pip install -r requirements.txt``

下载LLFF数据放在创建的data文件下

https://drive.google.com/file/d/1RjhfcbsywOvw0ts1AFSri91mKANvEVOa/view?usp=sharing 在这里插入图片描述

下载预先训练好的模型

bash download_models.sh

在这里插入图片描述

渲染视频

python run_nerf.py --config configs/fern_dsnerf.txt --render_only

报错显示没有这个文件

run_nerf.py: error: Unable to open config file: configs/fern_dsnerf.txt. Error: No such file or directory


## 修改文件为python run_nerf.py --config configs/fern_2v.txt --render_only

又报错

FileNotFoundError: [Errno 2] No such file or directory: ‘data/split_allview_npy/fern_2view/train_images.npy’

此时将文件名split_allview_new改为split_allview_npy

在这里插入图片描述

继续渲染

python run_nerf.py --config configs/fern_2v.txt --render_only

又报错

Loaded colmap llff (5, 756, 1008, 3) (120, 3, 5) [ 756. 1008.
829.89215] ./data/split_allview_npy/fern_2view DEFINING BOUNDS NEAR FAR 1.200000035762787 5.672883987426758 Found ckpts
[‘./logs/release/fern_2v/50000.tar’] Reloading from
./logs/release/fern_2v/50000.tar Not ndc! RENDER ONLY test poses shape
torch.Size([120, 3, 5]) 0%|
| 0/120 [00:00<?, ?it/s]0 0.0010442733764648438
/home/uriky/anaconda3/envs/DSNeRF/lib/python3.7/site-packages/torch/functional.py:504:
UserWarning: torch.meshgrid: in an upcoming release, it will be
required to pass the indexing argument. (Triggered internally at
…/aten/src/ATen/native/TensorShape.cpp:3190.) return
_VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] torch.Size([756, 1008, 3]) torch.Size([756, 1008]) max: 5.531892 0%|
| 0/120 [00:48<?, ?it/s] Traceback (most recent call last): File
“/home/uriky/anaconda3/envs/DSNeRF/lib/python3.7/site-packages/PIL/PngImagePlugin.py”,
line 1286, in _save
rawmode, mode = _OUTMODES[mode] KeyError: ‘F’

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File “run_nerf.py”, line 1134, in

train() File “run_nerf.py”, line 795, in train
rgbs, disps = render_path(render_poses, hwf, args.chunk, render_kwargs_test, gt_imgs=images, savedir=testsavedir,
render_factor=args.render_factor) File “run_nerf.py”, line 191, in
render_path
imageio.imwrite(os.path.join(savedir, ‘{:03d}_depth.png’.format(i)), depth) File
“/home/uriky/anaconda3/envs/DSNeRF/lib/python3.7/site-packages/imageio/v2.py”,
line 397, in imwrite
return file.write(im, **kwargs) File “/home/uriky/anaconda3/envs/DSNeRF/lib/python3.7/site-packages/imageio/core/v3_plugin_api.py”,
line 367, in exit
self.close() File “/home/uriky/anaconda3/envs/DSNeRF/lib/python3.7/site-packages/imageio/plugins/pillow.py”,
line 123, in close
self._flush_writer() File “/home/uriky/anaconda3/envs/DSNeRF/lib/python3.7/site-packages/imageio/plugins/pillow.py”,
line 457, in _flush_writer
primary_image.save(self._request.get_file(), **self.save_args) File
“/home/uriky/anaconda3/envs/DSNeRF/lib/python3.7/site-packages/PIL/Image.py”,
line 2432, in save
save_handler(self, fp, filename) File “/home/uriky/anaconda3/envs/DSNeRF/lib/python3.7/site-packages/PIL/PngImagePlugin.py”,
line 1289, in _save
raise OSError(msg) from e OSError: cannot write mode F as PNG

Begin接下来一步步解决报错的问题：

1、这个警告表示在未来的PyTorch版本中，调用torch.meshgrid函数时，将需要显式地传递一个indexing参数。indexing参数用来指定网格输出的索引方式，可以是’ij’或’xy’。'ij’表示矩阵索引，而’xy’表示笛卡尔索引。当前，这个参数是可选的，但警告建议应该显式地传递这个参数以避免未来的不兼容问题。

/home/uriky/anaconda3/envs/DSNeRF/lib/python3.7/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at …/aten/src/ATen/native/TensorShape.cpp:3190.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]