Error in train

[chensh1127]

hey, you did a nice job.

I wonder before the train. what is the structure of my custom datasets?

I run the code: python train.py -s ./data/coser --exp_name ./data/coser/images --white_bg --iterations 1000 --own_data the error is :

assert imgs, 'no images foud at '+root AssertionError: no images foud at

and my datasets is:

looking forward to your reply.

[ONground-Korea]

Hi!

To train in "own data" mode, you need a folder containing only jpg, jpeg, or png image files. For example, a folder containing assets/example/*.jpg would become the custom dataset structure.

In this situation, the train command would be:

python train.py -s {your path}/assets/example --exp_name just_example --white_bg --iterations 1000 --own_data

In your case, if only images exist in ./data/coser/images, it seems that running the command line as follows should work:

python train.py -s ./data/coser/images --exp_name test --white_bg --iterations 1000 --own_data

If you've been proceeding normally in this format, consider using an absolute path instead of a relative path for -s. Also, if there's no dust3r checkpoint in dust3r/checkpoints/, it may not work. If the checkpoint is in a different location, add the additional option --dust3r_path {your path}/*.pth.

Finally, if the video is not being saved, install an additional library by running pip install av.

Please let me know if any additional problems occur.

Thanks, Jisang.