Google Drive Permission Error when running `ns-download-data nerfstudio --capture-name=poster`
Describe the bug
Running ns-download-data nerfstudio --capture-name=poster results in a gdown google drive permission error.
To Reproduce Steps to reproduce the behavior:
- Run
ns-download-data nerfstudio --capture-name=posterafter installation.
Expected behavior Download Data
Screenshots
Hi, I had the same issue. However, they have updated the link for the poster dataset here: https://github.com/nerfstudio-project/nerfstudio/pull/3045
For convenience, I have posted the Gdrive link here: https://drive.google.com/file/d/1FceQ5DX7bbTbHeL26t0x6ku56cwsRs6t/view?usp=sharing
But if you installed using pip command, this link may not be updated in the files. You will have to manually replace the above link in a file called download_data.py file whose path (atleast in my system!) is:
/home/user/miniconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/scripts/downloads/download_data.py
(I used conda here)
Even simpler You can directly download the folder and place it in the data/nerfstudio folder (for me, it was in the home directory itself on Ubuntu).
This solved the issue for me. Hope this helps!
The new Google drive link is the same as what is already in the download_data.py file. I tried updating the link manually but it did not work.
The above link is different from the link shown in the screenshot. Anyways, can you download the files from the google drive and manually place the "poster" folder in the datasets folder? I think that Gdrive link also has a "_MACOSX" folder, and the code cannot parse it. That solved the error for me.
Other datasets like dozer work but poster does not. I just to get a trial model up and running but atfer downloading the dataset for dozer I run into the following issues when I try to train the model:
$ns-train nerfacto --pipeline.model.predict-normals True --data data/nerfstudio/dozer$
It throws the following error:
$OSError: [Errno 22] Invalid argument
Traceback (most recent call last):
File "
Any help is appreciated!